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Jonathan Wright

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:

    Mentioned in:

    1. H-Index for Journals
      by Francis Diebold in No Hesitations on 2018-03-08 17:47:00
  1. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.

    Mentioned in:

    1. Recent reading
      by Francisco in EconWeekly on 2010-11-23 20:40:00
  2. Refet S. Gürkaynak & Brian P. Sack & Jonathan H. Wright, 2008. "The TIPS yield curve and inflation compensation," Finance and Economics Discussion Series 2008-05, Board of Governors of the Federal Reserve System (U.S.).

    Mentioned in:

    1. Inflation Expectations: How Credibility Pays Off
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2014-07-31 17:19:31
  3. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Ng and Wright: Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling
      by Gray in Pseudo-true News on 2013-10-01 09:34:06

    Mentioned in:

    1. ECB Paddles Both Ways in the Rubicon
      by Stephen G. Cecchetti in Huffington Post Business on 2015-02-09 18:47:54
    2. ECB Paddles Both Ways in the Rubicon
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2015-01-26 19:32:17
  4. Kitsul, Yuriy & Wright, Jonathan H., 2013. "The economics of options-implied inflation probability density functions," Journal of Financial Economics, Elsevier, vol. 110(3), pages 696-711.

    Mentioned in:

    1. 5-Year Deflation Probability Moves Off Zero
      by macroblog in Macroblog on 2015-09-04 21:34:05

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Jon Faust & Simon Gilchrist & Jonathan H. Wright & Egon Zakrajsek, 2011. "Credit Spreads as Predictors of Real-Time Economic Activity: A Bayesian Model-Averaging Approach," NBER Working Papers 16725, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Econometrics > Forecasting > Forecasting Economic Activity Using Financial Variables
  2. Jonathan H. Wright, 2006. "The yield curve and predicting recessions," Finance and Economics Discussion Series 2006-07, Board of Governors of the Federal Reserve System (U.S.).

    Mentioned in:

    1. > Econometrics > Forecasting > Forecasting Economic Activity Using Financial Variables
  3. Jon Faust & Jonathan H. Wright, 2007. "Comparing Greenbook and Reduced Form Forecasts using a Large Realtime Dataset," NBER Working Papers 13397, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Econometrics > Forecasting > Forecasting Economic Activity Using Financial Variables

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Wright, Jonathan H, 1999. "Testing for a Unit Root in the Volatility of Asset Returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 309-318, May-June.

    Mentioned in:

    1. Testing for a unit root in the volatility of asset returns (Journal of Applied Econometrics 1999) in ReplicationWiki ()
  2. Jonathan H. Wright, 2011. "Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset," American Economic Review, American Economic Association, vol. 101(4), pages 1514-1534, June.

    Mentioned in:

    1. Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset (AER 2011) in ReplicationWiki ()
  3. Refet S. Gürkaynak & Brian Sack & Jonathan H. Wright, 2010. "The TIPS Yield Curve and Inflation Compensation," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 70-92, January.

    Mentioned in:

    1. The TIPS Yield Curve and Inflation Compensation (AEJ:MA 2010) in ReplicationWiki ()

Working papers

  1. Smith, Simon & Timmermann, Allan & Wright, Jonathan, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," CEPR Discussion Papers 18033, C.E.P.R. Discussion Papers.

    Cited by:

    1. Barbara Rossi & Atsushi Inoue & Yiru Wang, 2024. "Has the Phillips curve flattened?," French Stata Users' Group Meetings 2024 22, Stata Users Group.
    2. Ferri, Piero & Cristini, Annalisa & Tramontana, Fabio, 2023. "Meta-models of the Phillips curve and income distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 215-232.
    3. Pierpaolo Benigno & Gauti B. Eggertsson, 2023. "It’s Baaack: The Surge in Inflation in the 2020s and the Return of the Non-Linear Phillips Curve," NBER Working Papers 31197, National Bureau of Economic Research, Inc.

  2. David O. Lucca & Jonathan H. Wright, 2022. "The Narrow Channel of Quantitative Easing: Evidence from YCC Down Under," Staff Reports 1013, Federal Reserve Bank of New York.

    Cited by:

    1. Jonathan Hambur & Qazi Haque, 2023. "Can we use high-frequency yield data to better understand the effects of monetary policy and its communication? Yes and no!," School of Economics and Public Policy Working Papers 2023-03 Classification-E4, University of Adelaide, School of Economics and Public Policy.
    2. Gauti B. Eggertsson & Sergey K. Egiev, 2024. "Liquidity Traps: A Unified Theory of the Great Depression and Great Recession," NBER Working Papers 33195, National Bureau of Economic Research, Inc.
    3. Patrick Aldridge & David Cimon & Rishi Vala, 2023. "Central Bank Crisis Interventions: A Review of the Recent Literature on Potential Costs," Discussion Papers 2023-30, Bank of Canada.
    4. Junko Koeda & Yoichi Ueno, 2022. "A Preferred Habitat View of Yield Curve Control," Bank of Japan Working Paper Series 22-E-7, Bank of Japan.
    5. Richard Finlay & Dmitry Titkov & Michelle Xiang, 2022. "The Yield and Market Function Effects of the Reserve Bank of Australia's Bond Purchases," RBA Research Discussion Papers rdp2022-02, Reserve Bank of Australia.

  3. David O. Lucca & Jonathan H. Wright, 2021. "Reasonable Seasonals? Seasonal Echoes in Economic Data after COVID-19," Liberty Street Economics 20210325, Federal Reserve Bank of New York.

    Cited by:

    1. Lahiri, Kajal & Yin, Yimeng, 2024. "Seasonality in U.S. disability applications, labor market, and the pandemic echoes," Labour Economics, Elsevier, vol. 87(C).

  4. Thorsten Drautzburg & Jonathan H. Wright, 2021. "Refining Set-Identification in VARs through Independence," Working Papers 21-31, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Brandts, Jordi & El Baroudi, Sabrine & Huber, Stefanie J. & Rott, Christina, 2021. "Gender differences in private and public goal setting," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 222-247.
    2. Lee, Adam & Mesters, Geert, 2024. "Locally robust inference for non-Gaussian linear simultaneous equations models," Journal of Econometrics, Elsevier, vol. 240(1).
    3. Jarociński, Marek, 2024. "Estimating the Fed’s unconventional policy shocks," Journal of Monetary Economics, Elsevier, vol. 144(C).
    4. Geert Mesters & Piotr Zwiernik, 2022. "Non-independent components analysis," Economics Working Papers 1845, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Andrea Carriero & Massimiliano Marcellino & Tommaso Tornese, 2023. "Blended Identification in Structural VARs," BAFFI CAREFIN Working Papers 23200, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    6. Sascha A. Keweloh & Mathias Klein & Jan Pruser, 2023. "Estimating Fiscal Multipliers by Combining Statistical Identification with Potentially Endogenous Proxies," Papers 2302.13066, arXiv.org, revised May 2024.
    7. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Adam Lee & Lukas Hoesch & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.
    9. Philippe Andrade & Filippo Ferroni & Leonardo Melosi, 2023. "Identification Using Higher-Order Moments Restrictions," Working Paper Series WP 2023-28, Federal Reserve Bank of Chicago.
    10. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    11. Emanuele Bacchiocchi & Toru Kitagawa, 2022. "Locally- but not Globally-identified SVARs," Working Papers wp1171, Dipartimento Scienze Economiche, Universita' di Bologna.
    12. Andrade, Philippe & Ferroni, Filippo & Melosi, Leonardo, 2024. "Higher-Order Moment Inequality Restrictions for SVARs," The Warwick Economics Research Paper Series (TWERPS) 1537, University of Warwick, Department of Economics.
    13. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    14. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.

  5. Samuel Hanson & David O. Lucca & Jonathan H. Wright, 2019. "The Sensitivity of Long-Term Interest Rates: A Tale of Two Frequencies," Liberty Street Economics 20190304, Federal Reserve Bank of New York.

    Cited by:

    1. Ann Xing, Bingxin & Feunou, Bruno & Nongni-Donfack, Morvan & Sekkel, Rodrigo, 2024. "U.S. macroeconomic news and low-frequency changes in bond yields in Canada, Sweden and the U.K," Journal of Banking & Finance, Elsevier, vol. 168(C).

  6. Janice C. Eberly & James H. Stock & Jonathan H. Wright, 2019. "The Federal Reserve’s Current Framework for Monetary Policy: A Review and Assessment," NBER Working Papers 26002, National Bureau of Economic Research, Inc.

    Cited by:

    1. Callum Jones & Mariano Kulish & James Morley, 2024. "A Structural Measure of the Shadow Federal Funds Rate," Working Papers 2024-05, University of Sydney, School of Economics.
    2. Adam Hale Shapiro, "undated". "Decomposing Supply and Demand Driven Inflation," RBA Annual Conference Papers acp2023-03, Reserve Bank of Australia, revised Nov 2023.
    3. Steven Diamond & Stephen Boyd & David Greenberg & Mykel Kochenderfer & Andrew Ang, 2021. "Optimal Claiming of Social Security Benefits," Papers 2106.00125, arXiv.org.
    4. Gregor Boehl & Gavin Goy & Felix Strobel, 2024. "A Structural Investigation of Quantitative Easing," The Review of Economics and Statistics, MIT Press, vol. 106(4), pages 1028-1044, July.
    5. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2020. "Testing the Effectiveness of Unconventional Monetary Policy in Japan and the United States," IMES Discussion Paper Series 20-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    6. Régis Barnichon & Geert Mesters, 2020. "Optimal policy perturbations," Economics Working Papers 1716, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Kristin J. Forbes, 2019. "Inflation Dynamics: Dead, Dormant, or Determined Abroad?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 50(2 (Fall)), pages 257-338.
    8. John B. Taylor, 2021. "Simple monetary rules: many strengths and few weaknesses," European Journal of Law and Economics, Springer, vol. 52(2), pages 267-283, December.
    9. P. Andrade & J. Galí & H. Le Bihan & J. Matheron, 2018. "The Optimal Inflation Target and the Natural Rate of Interest," Working papers 670, Banque de France.
    10. Philippe Andrade & Filippo Ferroni, 2018. "Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area," Working Paper Series WP-2018-12, Federal Reserve Bank of Chicago.
    11. Régis Barnichon & Geert Mesters, 2023. "A Sufficient Statistics Approach for Macro Policy," American Economic Review, American Economic Association, vol. 113(11), pages 2809-2845, November.
    12. Anna Bartocci & Alessandro Notarpietro & Massimiliano Pisani, 2023. "Non‐standard monetary policy measures in non‐normal times," International Finance, Wiley Blackwell, vol. 26(1), pages 19-35, April.
    13. Davtyan, Karen, 2023. "Unconventional monetary policy and economic inequality," Economic Modelling, Elsevier, vol. 126(C).
    14. Eric T. Swanson, 2024. "The Macroeconomic Effects of the Federal Reserve’s Conventional and Unconventional Monetary Policies," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(3), pages 1152-1184, September.
    15. Ellen Ryan & Karl Whelan, 2021. "A Model of QE, Reserve Demand and the Money Multiplier," Working Papers 202107, School of Economics, University College Dublin.
    16. Sophocles N. Brissimis & Evangelia A. Georgiou, 2022. "The effects of Federal Reserve's quantitative easing and balance sheet normalization policies on long-term interest rates," Working Papers 299, Bank of Greece.
    17. Gökhan Ider & Alexander Kriwoluzky & Frederik Kurcz & Ben Schumann, 2024. "Friend, Not Foe - Energy Prices and European Monetary Policy," Discussion Papers of DIW Berlin 2089, DIW Berlin, German Institute for Economic Research.
    18. Dario Caldara & Etienne Gagnon & Enrique Martínez García & Christopher J. Neely, 2020. "Monetary Policy and Economic Performance since the Financial Crisis," Working Papers 2020-026, Federal Reserve Bank of St. Louis, revised 02 Nov 2020.
    19. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time‐Series Regressions Tell Us About Policy Counterfactuals?," Econometrica, Econometric Society, vol. 91(5), pages 1695-1725, September.
    20. Edward Nelson, 2021. "The Emergence of Forward Guidance As a Monetary Policy Tool," Finance and Economics Discussion Series 2021-033, Board of Governors of the Federal Reserve System (U.S.).
    21. Falk Bräuning & Viacheslav Sheremirov, 2023. "The Transmission Mechanisms of International Business Cycles: International Trade and the Foreign Effects of US Monetary Policy," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 300-325, March.
    22. Chen, Zhengyang, 2019. "The Long-term Rate and Interest Rate Volatility in Monetary Policy Transmission," EconStor Preprints 204579, ZBW - Leibniz Information Centre for Economics.
    23. Fernando M. Duarte & Benjamin K. Johannsen & Leonardo Melosi & Taisuke Nakata, 2020. "Strengthening the FOMC’s Framework in View of the Effective Lower Bound and Some Considerations Related to Time-Inconsistent Strategies," Finance and Economics Discussion Series 2020-067, Board of Governors of the Federal Reserve System (U.S.).
    24. Ma, Liang, 2024. "Using stock prices to help identify unconventional monetary policy shocks for external instrument SVAR," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1234-1247.
    25. Daniel J. Lewis & Christos Makridis & Karel Mertens, 2019. "Do Monetary Policy Announcements Shift Household Expectations?," Working Papers 1906, Federal Reserve Bank of Dallas, revised 17 Jan 2020.
    26. Kang, Hyunju & Park, Jaevin & Suh, Hyunduk, 2020. "The rise of part-time employment in the great recession: Its causes and macroeconomic effects," Journal of Macroeconomics, Elsevier, vol. 66(C).
    27. Michael Ellington, 2022. "The Empirical Relevance of the Shadow Rate and the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1605-1635, September.
    28. Mark A. Carlson & Stefania D'Amico & Cristina Fuentes-Albero & Bernd Schlusche & Paul R. Wood, 2020. "Issues in the Use of the Balance Sheet Tool," Finance and Economics Discussion Series 2020-071, Board of Governors of the Federal Reserve System (U.S.).
    29. Bjarni G. Einarsson, 2024. "Online Monitoring of Policy Optimality," Economics wp95, Department of Economics, Central bank of Iceland.
    30. Couture, Cody, 2021. "Financial market effects of FOMC projections," Journal of Macroeconomics, Elsevier, vol. 67(C).
    31. Masahiko Shibamoto & Wataru Takahashi & Takashi Kamihigashi, 2023. "Japan’s monetary policy: a literature review and empirical assessment," Journal of Computational Social Science, Springer, vol. 6(2), pages 1215-1254, October.
    32. Susana Párraga & Pedro del Río & Juan Luis Vega, 2019. "The Federal Reserve review of its monetary policy framework," Economic Bulletin, Banco de España, issue DEC.
    33. Carl E. Walsh, 2019. "Alternatives to Inflation Targeting in Low Interest Rate Environments," IMES Discussion Paper Series 19-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
    34. Régis Barnichon & Geert Mesters, 2022. "A Sufficient Statistics Approach for Macro Policy Evaluation," Working Paper Series 2022, Federal Reserve Bank of San Francisco.
    35. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    36. Adam Hale Shapiro, 2022. "Decomposing Supply and Demand Driven Inflation," Working Paper Series 2022-18, Federal Reserve Bank of San Francisco.
    37. Richard H. Clarida, 2022. "The Federal Reserve's New Framework: Context and Consequences," Finance and Economics Discussion Series 2022-001, Board of Governors of the Federal Reserve System (U.S.).

  7. Jonathan H. Wright, 2018. "Seasonal Adjustment of NIPA data," NBER Working Papers 24895, National Bureau of Economic Research, Inc.

    Cited by:

    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    2. Bagaynikov, Mikhail, 2014. "Land aspect in the development of individual agricultural farms of the Baikal region [Земельный Аспект В Развитии Индивидуальных Аграрных Хозяйств Байкальского Региона]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 195-207.

  8. Refet S. Gürkaynak & Burçin Kısacıkoğlu & Jonathan H. Wright, 2018. "Missing Events in Event Studies: Identifying the Effects of Partially-Measured News Surprises," CESifo Working Paper Series 7229, CESifo.

    Cited by:

    1. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    2. Ricardo Nunes & Ali Ozdagli & Jenny Tang, 2022. "Interest Rate Surprises: A Tale of Two Shocks," Working Papers 2213, Federal Reserve Bank of Dallas.
    3. Fatum, Rasmus & Hattori, Takahiro & Yamamoto, Yohei, 2020. "Reserves and Risk : Evidence from China," Discussion paper series HIAS-E-98, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    4. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
    5. Christoph Boehm & T. Niklas Kroner, 2024. "Monetary Policy without Moving Interest Rates: The Fed Non-Yield Shock," NBER Working Papers 32636, National Bureau of Economic Research, Inc.
    6. Kerssenfischer, Mark & Helmus, Caspar, 2024. "Outages in sovereign bond markets," Working Paper Series 2944, European Central Bank.
    7. Conrad, Christian & Schoelkopf, Julius Theodor & Tushteva, Nikoleta, 2023. "Long-Term Volatility Shapes the Stock Market’s Sensitivity to News," Working Papers 0739, University of Heidelberg, Department of Economics.
    8. Philippe Andrade & Filippo Ferroni, 2018. "Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area," Working Paper Series WP-2018-12, Federal Reserve Bank of Chicago.
    9. McMahon, Michael & , & Tong, Matthew, 2019. "The Long-Run Information Effect of Central Bank Communication," CEPR Discussion Papers 13438, C.E.P.R. Discussion Papers.
    10. Rongrong Sun, 2018. "Monetary Policy Announcements and Market Interest Rates Response: Evidence from China," CFDS Discussion Paper Series 2018/5, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    11. Christoph E. Boehm & T. Niklas Kroner, 2023. "The US, Economic News, and the Global Financial Cycle," NBER Working Papers 30994, National Bureau of Economic Research, Inc.
    12. Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, Queen Mary University of London, School of Economics and Finance.
    13. Ann Xing, Bingxin & Feunou, Bruno & Nongni-Donfack, Morvan & Sekkel, Rodrigo, 2024. "U.S. macroeconomic news and low-frequency changes in bond yields in Canada, Sweden and the U.K," Journal of Banking & Finance, Elsevier, vol. 168(C).
    14. Luca Vincenzo Ballestra & Enzo D’Innocenzo & Andrea Guizzardi, 2024. "Score-Driven Modeling with Jumps: An Application to S&P500 Returns and Options," Journal of Financial Econometrics, Oxford University Press, vol. 22(2), pages 375-406.
    15. Diego Bonelli & Berardino Palazzo & Ram S. Yamarthy, 2025. "“Good” Inflation, “Bad” Inflation: Implications for Risky Asset Prices," Finance and Economics Discussion Series 2025-002, Board of Governors of the Federal Reserve System (U.S.).
    16. Cieslak, Anna & Pang, Hao, 2020. "Common shocks in stocks and bonds," CEPR Discussion Papers 14708, C.E.P.R. Discussion Papers.
    17. Arbatli-Saxegaard, Elif & Furceri, Davide & Gonzalez Dominguez, Pablo & Ostry, Jonathan & Peiris, Shanaka, 2022. "Spillovers from US Monetary Shocks: Role of Policy Drivers and Cyclical Conditions," ADBI Working Papers 1317, Asian Development Bank Institute.
    18. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
    19. Pallotti, Filippo & Paz-Pardo, Gonzalo & Slacalek, Jiri & Tristani, Oreste & Violante, Giovanni L., 2023. "Who bears the costs of inflation? Euro area households and the 2021–2022 shock," Working Paper Series 2877, European Central Bank.
    20. Canetg, Fabio & Kaufmann, Daniel, 2022. "Overnight rate and signalling effects of central bank bills," European Economic Review, Elsevier, vol. 143(C).
    21. Luca Brugnolini & Antonello D’Agostino & Alex Tagliabracci, 2021. "Is Anything Predictable in Market-Based Surprises?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 387-410, November.
    22. Ostapenko, Nataliia, 2020. "Central Bank Communication: Information and Policy shocks," MPRA Paper 104501, University Library of Munich, Germany, revised 21 Jun 2020.
    23. Kerssenfischer, Mark & Schmeling, Maik, 2024. "What moves markets?," Journal of Monetary Economics, Elsevier, vol. 145(C).
    24. Cieslak, Anna & Pang, Hao, 2021. "Common shocks in stocks and bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 880-904.
    25. Griller, Stefan & Huber, Florian & Pfarrhofer, Michael, 2024. "Financial markets and legal challenges to unconventional monetary policy," European Economic Review, Elsevier, vol. 163(C).
    26. Xu Zhang, 2021. "A New Measure of Monetary Policy Shocks," Staff Working Papers 21-29, Bank of Canada.
    27. Bruno Feunou & James Kyeong & Raisa Leiderman, 2018. "Markets Look Beyond the Headline," Staff Analytical Notes 2018-37, Bank of Canada.
    28. Daniel J. Lewis, 2019. "Announcement-Specific Decompositions of Unconventional Monetary Policy Shocks and Their Macroeconomic Effects," Staff Reports 891, Federal Reserve Bank of New York.
    29. Bingxin Ann Xing & Bruno Feunou & Morvan Nongni-Donfack & Rodrigo Sekkel, 2024. "U.S. Macroeconomic News and Low-Frequency Changes in Small Open Economies’ Bond Yields," Staff Working Papers 24-12, Bank of Canada.

  9. Samuel Hanson & David O. Lucca & Jonathan H. Wright, 2017. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates," Staff Reports 810, Federal Reserve Bank of New York.

    Cited by:

    1. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    2. Michael D. Bauer & Carolin Pflueger & Adi Sunderam, 2023. "Perceptions about Monetary Policy," Working Paper Series 2023-31, Federal Reserve Bank of San Francisco.
    3. Wenxin Du & Benjamin Hébert & Wenhao Li, 2022. "Intermediary Balance Sheets and the Treasury Yield Curve," Staff Reports 1023, Federal Reserve Bank of New York.
    4. Robin Greenwood & Samuel Hanson & Dimitri Vayanos, 2023. "Supply and Demand and the Term Structure of Interest Rates," NBER Working Papers 31879, National Bureau of Economic Research, Inc.
    5. David O. Lucca & Jonathan H. Wright, 2022. "The Narrow Channel of Quantitative Easing: Evidence from YCC Down Under," Staff Reports 1013, Federal Reserve Bank of New York.
    6. Fuster, Andreas & Lucca, David & Vickery, James, 2022. "Mortgage-Backed Securities," CEPR Discussion Papers 16989, C.E.P.R. Discussion Papers.
    7. Guimaraes, Rodrigo & Pinter, Gabor & Wijnandts, Jean-Charles, 2023. "The liquidity state-dependence of monetary policy transmission," Bank of England working papers 1045, Bank of England.
    8. Kelly Shue & Richard Townsend & Chen Wang, 2024. "Categorical Thinking About Interest Rates," CESifo Working Paper Series 11558, CESifo.
    9. Vedolin, Andrea & Leombroni, Matteo & , & Whelan, Paul, 2018. "Central Bank Communication and the Yield Curve," CEPR Discussion Papers 12970, C.E.P.R. Discussion Papers.

  10. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2016. "Unconventional Monetary Policy and International Risk Premia," International Finance Discussion Papers 1172, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Jing Cynthia Wu & Yinxi Xie & Ji Zhang, 2024. "The Role of International Financial Integration in Monetary Policy Transmission," Staff Working Papers 24-3, Bank of Canada.
    2. Angelini, Giovanni & Fanelli, Luca, 2018. "Exogenous uncertainty and the identification of Structural Vector Autoregressions with external instruments," MPRA Paper 93864, University Library of Munich, Germany, revised May 2019.
    3. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," Journal of International Money and Finance, Elsevier, vol. 148(C).
    4. Schrimpf, Paul & Kearns, Jonathan & Ferrari, Massimo, 2017. "Monetary policy's rising FX impact in the era of ultra-low rates," CEPR Discussion Papers 11918, C.E.P.R. Discussion Papers.
    5. Stenfors, Alexis & Chatziantoniou, Ioannis & Gabauer, David, 2022. "Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    6. Stéphane Lhuissier & Urszula Szczerbowicz, 2022. "Monetary Policy and Corporate Debt Structure," Post-Print hal-04459541, HAL.
    7. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    8. Ayhan Kose & Jongrim Ha & Dohan Kim & Prasad,Eswar S., 2024. "Resolving Puzzles of Monetary Policy Transmission in Emerging Markets," Policy Research Working Paper Series 10974, The World Bank.
    9. Kota Ikkatai & Takuji Kawamoto & Kenichi Sakura, 2024. "Japan's Unconventional Monetary Policy and the Exchange Rate Dynamics," Bank of Japan Working Paper Series 24-E-23, Bank of Japan.
    10. Atsushi Inoue & Barbara Rossi, 2019. "A New Approach to Measuring Economic Policy Shocks, with an Application to Conventional and Unconventional Monetary Policy," Working Papers 1082, Barcelona School of Economics.
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    27. Gábor Dávid Kiss & Mercédesz Mészáros, 2020. "Gravity Among Central Bank Balance Sheets: Monetary Policy Spill-Over on FX Volatility," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(1), pages 33-57, June.
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    30. Benjamin Gardner & Chiara Scotti & Clara Vega, 2021. "Words Speak as Loudly as Actions: Central Bank Communication and the Response of Equity Prices to Macroeconomic Announcements," Finance and Economics Discussion Series 2021-074, Board of Governors of the Federal Reserve System (U.S.).
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    33. Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
    34. Atsushi Inoue & Barbara Rossi, 2018. "The effects of conventional and unconventional monetary policy on exchange rates," Economics Working Papers 1639, Department of Economics and Business, Universitat Pompeu Fabra.
    35. Prabheesh, K.P. & Padhan, Rakesh & Bhat, Javed Ahmad, 2024. "Do financial markets react to emerging economies’ asset purchase program? Evidence from the COVID-19 pandemic period," Journal of Asian Economics, Elsevier, vol. 90(C).
    36. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    37. Caporin, Massimiliano & Pelizzon, Loriana & Plazzi, Alberto, 2020. "Does monetary policy impact international market co-movements?," SAFE Working Paper Series 276, Leibniz Institute for Financial Research SAFE.
    38. Mira Farka, 2022. "The credit channel of monetary policy before and after the zero lower bound: Evidence from the US equity market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 633-693, September.
    39. Jongrim Ha, 2021. "Financial market spillovers of U.S. monetary policy shocks," Review of International Economics, Wiley Blackwell, vol. 29(5), pages 1221-1274, November.
    40. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher & Florian Huber, 2019. "Spillovers from US monetary policy: evidence from a time varying parameter global vector auto‐regressive model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 831-861, June.
    41. Mandler, Martin & Scharnagl, Michael, 2020. "Estimating the effects of the Eurosystem's asset purchase programme at the country level," Discussion Papers 29/2020, Deutsche Bundesbank.
    42. Rüth, Sebastian K., 2020. "Shifts in monetary policy and exchange rate dynamics: Is Dornbusch's overshooting hypothesis intact, after all?," Journal of International Economics, Elsevier, vol. 126(C).
    43. Grahame Johnson & Sharon Kozicki & Romanos Priftis & Lena Suchanek & Jonathan Witmer & Jing Yang, 2020. "Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature," Discussion Papers 2020-16, Bank of Canada.
    44. Goodhead, Robert, 2024. "The economic impact of yield curve compression: Evidence from euro area forward guidance and unconventional monetary policy," European Economic Review, Elsevier, vol. 164(C).
    45. Cesa-Bianchi, Ambrogio & Thwaites, Gregory & Vicondoa, Alejandro, 2020. "Monetary policy transmission in the United Kingdom: A high frequency identification approach," European Economic Review, Elsevier, vol. 123(C).
    46. Karau, Sören, 2024. "Relative monetary policy and exchange rates," Discussion Papers 40/2024, Deutsche Bundesbank.
    47. Aymeric Ortmans, 2020. "Evolving Monetary Policy in the Aftermath of the Great Recession," Documents de recherche 20-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    48. Daniel Gründler & Eric Mayer & Johann Scharler, 2021. "Monetary Policy Announcements, Information Schocks, and Exchange Rate Dynamics," Working Papers 2021-16, Faculty of Economics and Statistics, Universität Innsbruck.
    49. Breitenlechner, Max & Gründler, Daniel & Scharler, Johann, 2021. "Unconventional monetary policy announcements and information shocks in the U.S," Journal of Macroeconomics, Elsevier, vol. 67(C).
    50. Nihar Shah, 2022. "Doubly heterogeneous monetary spillovers," International Finance, Wiley Blackwell, vol. 25(2), pages 126-150, August.
    51. Oliver Holtemöller & Alexander Kriwoluzky & Boreum Kwak, 2020. "Exchange Rates and the Information Channel of Monetary Policy," Discussion Papers of DIW Berlin 1906, DIW Berlin, German Institute for Economic Research.
    52. Husted, Lucas & Rogers, John & Sun, Bo, 2020. "Monetary policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 20-36.
    53. van der Zwan, Terri & Kole, Erik & van der Wel, Michel, 2024. "Heterogeneous macro and financial effects of ECB asset purchase programs," Journal of International Money and Finance, Elsevier, vol. 143(C).
    54. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2018. "Monetary Policy, External Instruments and Heteroskedasticity," Discussion Papers of DIW Berlin 1749, DIW Berlin, German Institute for Economic Research.
    55. J. Scott Davis & Michael B. Devereux & Changhua Yu, 2020. "Sudden Stops in Emerging Economies: The Role of World Interest Rates and Foreign Exchange Intervention," Globalization Institute Working Papers 405, Federal Reserve Bank of Dallas, revised 10 Sep 2021.
    56. Holtemöller, Oliver & Kriwoluzky, Alexander & Kwak, Boreum, 2024. "Is there an information channel of monetary policy?," IWH Discussion Papers 17/2020, Halle Institute for Economic Research (IWH), revised 2024.
    57. Ma, Chang & Rogers, John H. & Zhou, Sili, 2020. "The effect of the China Connect," BOFIT Discussion Papers 1/2020, Bank of Finland Institute for Emerging Economies (BOFIT).
    58. Felipe Beltrán, 2023. "Global monetary policy surprises and their transmission to emerging market economies: an external VAR analysis," Working Papers Central Bank of Chile 975, Central Bank of Chile.
    59. Kilman, Josefin, 2020. "Monetary Policy and Income Inequality in the United States: The Role of Labor Unions," Working Papers 2020:10, Lund University, Department of Economics, revised 20 Sep 2022.
    60. Wang, Ling, 2022. "The dynamics of money supply determination under asset purchase programs: A market-based versus a bank-based financial system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    61. Lucas F. Husted & John H. Rogers & Bo Sun, 2017. "Uncertainty, Curreny Exess Returns, and Risk Reversals," International Finance Discussion Papers 1196, Board of Governors of the Federal Reserve System (U.S.).
    62. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," LSE Research Online Documents on Economics 125291, London School of Economics and Political Science, LSE Library.
    63. Rossi, Barbara, 2019. "Identifying and Estimating the Effects of Unconventional Monetary Policy: How to Do It And What Have We Learned?," CEPR Discussion Papers 14064, C.E.P.R. Discussion Papers.
    64. Georgiadis, Georgios & Jarociński, Marek, 2023. "Global spillovers from multi-dimensional US monetary policy," Working Paper Series 2881, European Central Bank.
    65. Don H. Kim & Marcelo Ochoa, 2021. "International Yield Spillovers," Finance and Economics Discussion Series 2021-001, Board of Governors of the Federal Reserve System (U.S.).
    66. Ricardo Caballero & Güneş Kamber, 2019. "On the global Impact of risk-off shocks and policy-put frameworks," BIS Working Papers 772, Bank for International Settlements.
    67. Barbara Rossi, 2018. "Identifying and estimating the effects of unconventional monetary policy in the data: How to do It and what have we learned?," Economics Working Papers 1641, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2020.
    68. Jean-Guillaume Sahuc & Grégory Levieuge & José Garcia-Revelo, 2024. "Revisiting 15 Years of Unusual Transatlantic Monetary Policies," Working Papers hal-04563708, HAL.
    69. Maurer, Tim D. & Nitschka, Thomas, 2023. "Stock market evidence on the international transmission channels of US monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 136(C).
    70. Dimitris Malliaropulos & Petros Migiakis, 2022. "A global monetary policy factor in sovereign bond yields," Working Papers 301, Bank of Greece.
    71. Tsai, I-Chun, 2020. "Alternative explanation of the money illusion: The effect of unexpected low inflation," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 110-123.
    72. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    73. Katagiri, Mitsuru & Takahashi, Koji, 2023. "Do term premiums matter? Transmission via exchange rate dynamics," Journal of International Money and Finance, Elsevier, vol. 139(C).
    74. Hashmi, Aamir Rafique & Nsafoah, Dennis, 2024. "International spillovers of conventional versus new monetary policy," Economic Modelling, Elsevier, vol. 139(C).
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    76. Goto, Eiji, 2023. "Industry effects of unconventional monetary policy, within and across countries," Journal of International Money and Finance, Elsevier, vol. 136(C).
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    78. Dossani, Asad, 2024. "Monetary policy and currency variance risk premia," Research in International Business and Finance, Elsevier, vol. 69(C).
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  11. Yıldız Akkaya & Refet S. Gürkaynak & Burçin Kısacıkoğlu & Jonathan H. Wright, 2015. "Forward Guidance and Asset Prices," IMES Discussion Paper Series 15-E-06, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Kliem, Martin & Meyer-Gohde, Alexander, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers 2017-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    3. Lemke, Wolfgang & Vladu, Andreea L., 2016. "Below the zero lower bound: A shadow-rate term structure model for the euro area," Discussion Papers 32/2016, Deutsche Bundesbank.
    4. Husted, Lucas & Rogers, John & Sun, Bo, 2020. "Monetary policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 20-36.
    5. Yushi Endo & Takushi Kurozumi & Takemasa Oda & Kenichirou Watanabe, 2015. "Monetary Policy: Its Effects and Implementation: Summary of the 2015 BOJ-IMES Conference Organized by the Institute for Monetary and Economic Studies of the Bank of Japan," IMES Discussion Paper Series 15-E-13, Institute for Monetary and Economic Studies, Bank of Japan.

  12. Michael D. Boldin & Jonathan H. Wright, 2015. "Weather-adjusting employment data," Working Papers 15-5, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Christopher L. Foote, 2015. "Did abnormal weather affect U.S. employment growth in early 2015?," Current Policy Perspectives 15-2, Federal Reserve Bank of Boston.
    2. Tom Stark, 2015. "First quarters in the national income and product accounts," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue May.
    3. Charles Fries & Francois Gourio, 2018. "Weather Shocks and Climate Change," 2018 Meeting Papers 1159, Society for Economic Dynamics.
    4. Erik Haustein & Sven Schreiber, 2016. "Adjusting production indices for varying weather effects," IMK Working Paper 171-2016, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    5. Caglar Yunculer, 2015. "Estimating the Bridging Day Effect on Turkish Industrial Production," CBT Research Notes in Economics 1515, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    6. Hyunju Kang & Hyunduk Suh & Jongmin Yu, 2019. "Does Air Pollution Affect Consumption Behavior? Evidence from Korean Retail Sales," Asian Economic Journal, East Asian Economic Association, vol. 33(3), pages 235-251, September.

  13. Don H. Kim & Jonathan H. Wright, 2014. "Jumps in Bond Yields at Known Times," Finance and Economics Discussion Series 2014-100, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Claudio Fontana & Zorana Grbac & Sandrine Gümbel & Thorsten Schmidt, 2020. "Term structure modelling for multiple curves with stochastic discontinuities," Post-Print hal-03898927, HAL.
    2. Claudio Fontana & Zorana Grbac & Sandrine Gümbel & Thorsten Schmidt, 2020. "Term structure modelling for multiple curves with stochastic discontinuities," Finance and Stochastics, Springer, vol. 24(2), pages 465-511, April.
    3. Martin Keller-Ressel & Thorsten Schmidt & Robert Wardenga, 2018. "Affine processes beyond stochastic continuity," Papers 1804.07556, arXiv.org, revised Dec 2018.
    4. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "Sure Profits via Flash Strategies and the Impossibility of Predictable Jumps," Research Paper Series 385, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Tunaru, Diana, 2017. "Gaussian estimation and forecasting of the U.K. yield curve with multi-factor continuous-time models," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 119-129.
    6. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "On the existence of sure profits via flash strategies," Papers 1708.03099, arXiv.org, revised Jul 2019.
    7. Backwell, Alex & Hayes, Joshua, 2022. "Expected and Unexpected Jumps in the Overnight Rate: Consistent Management of the Libor Transition," Journal of Banking & Finance, Elsevier, vol. 145(C).
    8. Peter Hördahl & Eli M Remolona & Giorgio Valente, 2015. "Expectations and risk premia at 8:30am: Macroeconomic announcements and the yield curve," BIS Working Papers 527, Bank for International Settlements.
    9. Claudio Fontana & Zorana Grbac & Sandrine Gumbel & Thorsten Schmidt, 2018. "Term structure modeling for multiple curves with stochastic discontinuities," Papers 1810.09882, arXiv.org, revised Dec 2019.
    10. Alan Brace & Karol Gellert & Erik Schlögl, 2024. "SOFR term structure dynamics—Discontinuous short rates and stochastic volatility forward rates," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(6), pages 936-985, June.
    11. Karol Gellert & Erik Schlogl, 2021. "Short Rate Dynamics: A Fed Funds and SOFR perspective," Papers 2101.04308, arXiv.org.
    12. Harju, Antti J., 2024. "Target rate factors in short rate models," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).

  14. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2014. "Evaluating Asset-Market Effects of Unconventional Monetary Policy: A Cross-Country Comparison," International Finance Discussion Papers 1101, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2018. "Effects of US Quantitative Easing on Emerging Market Economies," ADBI Working Papers 803, Asian Development Bank Institute.
    2. Georgiadis, Georgios, 2015. "Determinants of global spillovers from US monetary policy," Working Paper Series 1854, European Central Bank.
    3. Olivier Jeanne, 2020. "To What Extent Are Tariffs Offset by Exchange Rates?," Working Paper Series WP20-1, Peterson Institute for International Economics.
    4. Selva Demiralp & Sharmila King & Chiara Scotti, 2016. "Does Anyone Listen when Politicians Talk? The Effect of Political Commentaries on Policy Rate Decisions and Expectations," Finance and Economics Discussion Series 2016-058, Board of Governors of the Federal Reserve System (U.S.).
    5. Banegas, Ayelen & Montes-Rojas, Gabriel & Siga, Lucas, 2022. "The effects of U.S. monetary policy shocks on mutual fund investing," Journal of International Money and Finance, Elsevier, vol. 123(C).
    6. Albagli, Elias & Ceballos, Luis & Claro, Sebastian & Romero, Damian, 2019. "Channels of US monetary policy spillovers to international bond markets," Journal of Financial Economics, Elsevier, vol. 134(2), pages 447-473.
    7. Dedola, Luca & Georgiadis, Georgios & Gräb, Johannes & Mehl, Arnaud, 2018. "Does a big bazooka matter? Central bank balance-sheet policies and exchange rates," Working Paper Series 2197, European Central Bank.
    8. Schrimpf, Paul & Kearns, Jonathan & Ferrari, Massimo, 2017. "Monetary policy's rising FX impact in the era of ultra-low rates," CEPR Discussion Papers 11918, C.E.P.R. Discussion Papers.
    9. Stéphane Lhuissier & Urszula Szczerbowicz, 2022. "Monetary Policy and Corporate Debt Structure," Post-Print hal-04459541, HAL.
    10. Thomas B. King, 2016. "Expectation and Duration at the Effective Lower Bound," Working Paper Series WP-2016-21, Federal Reserve Bank of Chicago.
    11. Fukuda, Shin-ichi, 2015. "Abenomics: Why was it so successful in changing market expectations?," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 1-20.
    12. Fausch, Jürg & Sigonius, Markus, 2018. "The impact of ECB monetary policy surprises on the German stock market," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 46-63.
    13. Juan A. Montecino & Gerald Epstein, 2015. "Did Quantitative Easing Increase Income Inequality?," Working Papers Series 28, Institute for New Economic Thinking.
    14. Douglas L. Campbell & Lester Lusher, 2018. "The Impact of Real Exchange Rate Shocks on Manufacturing Workers: An Autopsy from the MORG," Working Papers w0223, New Economic School (NES).
    15. Eksi, Ozan & Tas, Bedri Kamil Onur, 2017. "Unconventional monetary policy and the stock market’s reaction to Federal Reserve policy actions," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 136-147.
    16. Petra Gerlach-Kristen & Robert N McCauley, 2012. "Currency intervention and the global portfolio balance effect: Japanese lessons," BIS Working Papers 389, Bank for International Settlements.
    17. Michael Hachula & Michele Piffer & Malte Rieth, 2016. "Unconventional Monetary Policy, Fiscal Side Effects and Euro Area (Im)balances," Discussion Papers of DIW Berlin 1596, DIW Berlin, German Institute for Economic Research.
    18. Zheyao Pan, 2018. "A state‐price volatility index for the U.S. government bond market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 573-597, November.
    19. Ben S Bernanke, 2017. "Federal Reserve Policy in an International Context," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 65(1), pages 1-32, April.
    20. Kristina Bluwstein & Fabio Canova, 2016. "Beggar-Thy-Neighbor? The International Effects of ECB Unconventional Monetary Policy Measures," International Journal of Central Banking, International Journal of Central Banking, vol. 12(3), pages 69-120, September.
    21. Simon Gilchrist & David López-Salido & Egon Zakrajšek, 2015. "Monetary Policy and Real Borrowing Costs at the Zero Lower Bound," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 77-109, January.
    22. Marinescu, Ion-Iulian & Horobet, Alexandra & Lupu, Radu, 2018. "Dichotomous stock market reaction to episodes of rules and discretion in the US monetary policy," Economic Modelling, Elsevier, vol. 70(C), pages 56-66.
    23. Christophe Blot & Paul Hubert & Jérôme Creel & Caroline Bozou, 2023. "The conditionality of monetary policy instruments," Working Papers hal-04159848, HAL.
    24. Sergio Bianchi & Massimiliano Frezza, 2018. "Liquidity, Efficiency and the 2007-2008 Global Financial Crisis," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 375-404, November.
    25. Liu, Dehong & Gu, Hongmei & Xing, Tiancai, 2016. "The meltdown of the Chinese equity market in the summer of 2015," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 504-517.
    26. Atsushi Inoue & Barbara Rossi, 2019. "A New Approach to Measuring Economic Policy Shocks, with an Application to Conventional and Unconventional Monetary Policy," Working Papers 1082, Barcelona School of Economics.
    27. Stanley Fischer, 2016. "U.S. Monetary Policy from an International Perspective : a speech at the 20th Annual Conference of the Central Bank of Chile, Santiago, Chile (via videoconference), November 11, 2016," Speech 920, Board of Governors of the Federal Reserve System (U.S.).
    28. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    29. De Santis, Roberto A., 2020. "Impact of the Asset Purchase Programme on euro area government bond yields using market news," Economic Modelling, Elsevier, vol. 86(C), pages 192-209.
    30. John D. Burger & Francis E. Warnock & Veronica Cacdac Warnock, 2017. "Currency Matters: Analyzing International Bond Portfolios," NBER Working Papers 23175, National Bureau of Economic Research, Inc.
    31. Massimo Guidolin & Manuela Pedio, 2019. "Does the Cost of Private Debt Respond to Monetary Policy? Heteroskedasticity-Based Identification in a Model with Regimes," BAFFI CAREFIN Working Papers 19118, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    32. Arnold, Ivo J.M. & Soederhuizen, Beau, 2018. "Bank stability and refinancing operations during the crisis: Which way causality?," Research in International Business and Finance, Elsevier, vol. 43(C), pages 79-89.
    33. Zbyněk Revenda & Markéta Arltová, 2022. "Akcie, zlato a inflace - vztahy a souvislosti v posledních 25 letech [Stocks, Gold and Inflation - Relationships and Contexts Over the Last 25 Years]," Politická ekonomie, Prague University of Economics and Business, vol. 2022(3), pages 288-311.
    34. Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2019. "Risk endogeneity at the lender/investor-of-last-resort," Working Paper Series 2225, European Central Bank.
    35. Bubeck, Johannes & Habib, Maurizio Michael & Manganelli, Simone, 2018. "The portfolio of euro area fund investors and ECB monetary policy announcements," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 103-126.
    36. von Borstel, Julia & Eickmeier, Sandra & Krippner, Leo, 2016. "The interest rate pass-through in the euro area during the sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 386-402.
    37. C. Bora Durdu & Alex Martin & Ilknur Zer, 2020. "The Role of US Monetary Policy in Banking Crises Across the World," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(1), pages 66-107, March.
    38. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn & Michailidis, George, 2019. "Interconnectedness in the interbank market," Journal of Financial Economics, Elsevier, vol. 133(2), pages 520-538.
    39. Odendahl, Florens & Pagliari, Maria Sole & Penalver, Adrian & Rossi, Barbara & Sestieri, Giulia, 2024. "Euro area monetary policy effects. Does the shape of the yield curve matter?," Journal of Monetary Economics, Elsevier, vol. 147(S).
    40. Georgiadis, Georgios & Gräb, Johannes, 2016. "Global financial market impact of the announcement of the ECB's asset purchase programme," Journal of Financial Stability, Elsevier, vol. 26(C), pages 257-265.
    41. Anaya, Pablo & Hachula, Michael & Offermanns, Christian, 2015. "Spillovers of U.S. unconventional monetary policy to emerging markets: The role of capital flows," Discussion Papers 2015/35, Free University Berlin, School of Business & Economics.
    42. Ayelen Banegas & Gabriel Montes-Rojas & Lucas Siga, 2016. "Mutual Fund Flows, Monetary Policy and Financial Stability," Finance and Economics Discussion Series 2016-071, Board of Governors of the Federal Reserve System (U.S.).
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    3. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    4. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    5. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    6. Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2020. "Identifying the sources of model misspecification," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 1-18.
    7. Belanger, Gilles, 2014. "Interest Rates Rigidities and the Fisher Equation," MPRA Paper 54705, University Library of Munich, Germany.
    8. Dlugoszek, Grzegorz, 2018. "Macroeconomic Effects of Financial Uncertainty," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181596, Verein für Socialpolitik / German Economic Association.
    9. Michael Redmond & Willem Van Zandweghe, 2016. "The Lasting Damage from the Financial Crisis to U.S. Productivity," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 39-64.
    10. Huang, Yu-Fan & Startz, Richard, 2020. "Improved recession dating using stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 507-514.
    11. Klinger, Sabine & Weber, Enzo, 2019. "GDP-Employment decoupling and the slow-down of productivity growth in Germany," IAB-Discussion Paper 201912, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    13. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2015. "Time-Varying Fiscal Multipliers in an Agent-Based Model with Credit Rationing," LEM Papers Series 2015/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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    17. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    18. Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
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    5. Carlo Altavilla & Domenico Giannone, 2014. "The effectiveness of non-standard monetary policy measures: evidence from survey data," Working Papers CASMEF 1406, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    6. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
    7. Filippo Ferroni & Jonas D. M. Fisher & Leonardo Melosi, 2022. "Usual Shocks in our Usual Models," Working Paper Series WP 2022-39, Federal Reserve Bank of Chicago.
    8. D. Georgoutsos & G. Moratis, 2021. "On the informative value of the EU-wide stress tests and the determinants of banks’ stock return reactions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 977-1008, November.
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    10. Mathur, Aakriti & Sengupta, Rajeswari & Pratap, Bhanu, 2024. "Equity market responses to surprise Covid-19 lockdowns: The role of pandemic-driven uncertainty," Journal of Asian Economics, Elsevier, vol. 91(C).
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    12. Gürkaynak, Refet S. & Karasoy-Can, Hatice Gökçe & Lee, Sang Seok, 2019. "Stock market's assessment of monetary policy transmission: The cash flow effect," CFS Working Paper Series 628, Center for Financial Studies (CFS).
    13. Refet S. Gürkaynak & A. Hakan Kara & Burcin Kisacikoglu, 2020. "Monetary Policy Surprises and Exchange Rate Behavior," CESifo Working Paper Series 8557, CESifo.
    14. Ahmed, Rashad, 2019. "Commodity Currencies and Causality: Some High-Frequency Evidence," MPRA Paper 98319, University Library of Munich, Germany, revised 25 Jan 2020.
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    19. Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2017. "Is the intrinsic value of a macroeconomic news announcement related to its asset price impact?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 78-95.
    20. Mira Farka, 2022. "The credit channel of monetary policy before and after the zero lower bound: Evidence from the US equity market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 633-693, September.
    21. Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Finance and Economics Discussion Series 2014-52, Board of Governors of the Federal Reserve System (U.S.).
    22. Hernández Vega Marco A., 2017. "Portfolio Investment Response to U.S. Monetary Policy Announcements: An Event Study Analysis Using High Frequency Data from Mexico," Working Papers 2017-02, Banco de México.
    23. Marcello Pericoli & Giovanni Veronese, 2015. "Forecaster heterogeneity, surprises and financial markets," Temi di discussione (Economic working papers) 1020, Bank of Italy, Economic Research and International Relations Area.
    24. Pavel Solís, 2023. "Does the Exchange Rate Respond to Monetary Policy in Mexico? Solving an Exchange Rate Puzzle in Emerging Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2093-2113, December.
    25. Julio E. Sandubete & León Beleña & Juan Carlos García-Villalobos, 2023. "Testing the Efficient Market Hypothesis and the Model-Data Paradox of Chaos on Top Currencies from the Foreign Exchange Market (FOREX)," Mathematics, MDPI, vol. 11(2), pages 1-29, January.
    26. Severin Bernhard & Till Ebner, 2016. "Cross-border Spillover Effects of Unconventional Monetary Policies on Swiss Asset Prices," Working Papers 2016-09, Swiss National Bank.
    27. Bulusu, Narayan, 2024. "Disentangling the supply and announcement effects of open market operations," Journal of Financial Markets, Elsevier, vol. 67(C).
    28. Alessandro Casini & Adam McCloskey, 2024. "Identification and Estimation of Causal Effects in High-Frequency Event Studies," Papers 2406.15667, arXiv.org, revised Oct 2024.
    29. Burak Eroglu & Secil Yildirim-Karaman, 2017. "Responses Of Term Structure Of Interest Rates And Asset Prices To Monetary Policy Shocks: Evidence From Turkey," Working Papers 1705, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    30. Christopher A. Hartwell & Paul M. Vaaler, 2023. "The Price of Empire: Unrest Location and Sovereign Risk in Tsarist Russia," Papers 2309.06885, arXiv.org, revised Nov 2023.
    31. John H. Huston & Roger W. Spencer, 2016. "The Wealth Effects of Quantitative Easing," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(4), pages 471-486, December.
    32. Alena Audzeyeva & Xu Wang, 2023. "Fundamentals, real-time uncertainty and CDS index spreads," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 1-33, July.
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    34. Gertler, Pavel & Horvath, Roman, 2018. "Central bank communication and financial markets: New high-frequency evidence," Journal of Financial Stability, Elsevier, vol. 36(C), pages 336-345.
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    49. Pierpaolo Benigno & Paolo Canofari & Giovanni Di Bartolomeo & Marcello Messori, 2021. "The ECB's policy measures during the COVID-19 crisis," Working Papers in Public Economics 207, Department of Economics and Law, Sapienza University of Roma.
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    51. Bahaj, Saleem, 2020. "Sovereign spreads in the Euro area: Cross border transmission and macroeconomic implications," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 116-135.
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    53. A. Ford Ramsey & Barry K. Goodwin & William F. Hahn & Matthew T. Holt, 2021. "Impacts of COVID‐19 and Price Transmission in U.S. Meat Markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 441-458, May.

  17. Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," Economics Working Paper Archive 600, The Johns Hopkins University,Department of Economics.

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    1. Breach, Tomas & D’Amico, Stefania & Orphanides, Athanasios, 2020. "The term structure and inflation uncertainty," Journal of Financial Economics, Elsevier, vol. 138(2), pages 388-414.
    2. Reis, Ricardo, 2016. "Funding quantitative easing to target inflation," LSE Research Online Documents on Economics 67883, London School of Economics and Political Science, LSE Library.
    3. Thomas M. Mertens & John C. Williams, 2020. "What to Expect from the Lower Bound on Interest Rates: Evidence from Derivatives Prices," Working Paper Series 2018-03, Federal Reserve Bank of San Francisco.
    4. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    5. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    6. Chen, Ren-Raw & Hsieh, Pei-lin & Huang, Jeffrey, 2018. "Crash risk and risk neutral densities," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 162-189.
    7. Banerjee, Ryan & Contreras, Juan & Mehrotra, Aaron & Zampolli, Fabrizio, 2024. "Inflation at risk in advanced and emerging market economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
    8. Goliński, Adam & Zaffaroni, Paolo, 2016. "Long memory affine term structure models," Journal of Econometrics, Elsevier, vol. 191(1), pages 33-56.
    9. Jarrow, Robert A. & Kwok, Simon S., 2020. "Inferring Financial Bubbles from Option Data," Working Papers 2020-04, University of Sydney, School of Economics, revised Jun 2021.
    10. Francesco Bianchi & Leonardo Melosi, 2013. "Escaping the Great Recession," Working Papers 13-19, Duke University, Department of Economics.
    11. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    12. Lu, Junwen & Qu, Zhongjun, 2021. "Sieve estimation of option-implied state price density," Journal of Econometrics, Elsevier, vol. 224(1), pages 88-112.
    13. Jens Hilscher & Alon Raviv & Ricardo Reis, 2022. "Inflating Away the Public Debt? An Empirical Assessment," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1553-1595.
    14. Michael Abrahams & Tobias Adrian & Richard K. Crump & Emanuel Moench, 2012. "Decomposing real and nominal yield curves," Staff Reports 570, Federal Reserve Bank of New York.
    15. Kejin Wu & Sayar Karmakar, 2023. "A model-free approach to do long-term volatility forecasting and its variants," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
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    17. Ulrich Mueller & Mark W. Watson, 2013. "Measuring Uncertainty about Long-Run Prediction," NBER Working Papers 18870, National Bureau of Economic Research, Inc.
    18. Galati, Gabriele & Gorgi, Zion & Moessner, Richhild & Zhou, Chen, 2018. "Deflation risk in the euro area and central bank credibility," Economics Letters, Elsevier, vol. 167(C), pages 124-126.
    19. Datta, Deepa Dhume & Londono, Juan M. & Ross, Landon J., 2017. "Generating options-implied probability densities to understand oil market events," Energy Economics, Elsevier, vol. 64(C), pages 440-457.
    20. Chipeniuk, Karsten O. & Walker, Todd B., 2021. "Forward inflation expectations: Evidence from inflation caps and floors," Journal of Macroeconomics, Elsevier, vol. 70(C).
    21. Scharnagl, Michael & Stapf, Jelena, 2015. "Inflation, deflation, and uncertainty: What drives euro-area option-implied inflation expectations, and are they still anchored in the sovereign debt crisis?," Economic Modelling, Elsevier, vol. 48(C), pages 248-269.
    22. Covarrubias, Enrique & Hernández-del-Valle, Gerardo, 2016. "Inflation expectations derived from a portfolio model," MPRA Paper 69489, University Library of Munich, Germany.
    23. Ryan Niladri Banerjee & Juan Contreras & Aaron Mehrotra & Fabrizio Zampolli, 2020. "Inflation at risk in advanced and emerging economies," BIS Working Papers 883, Bank for International Settlements.
    24. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    25. Smith, Tom, 2012. "Option-implied probability distributions for future inflation," Bank of England Quarterly Bulletin, Bank of England, vol. 52(3), pages 224-234.
    26. M. Chudý & S. Karmakar & W. B. Wu, 2020. "Long-term prediction intervals of economic time series," Empirical Economics, Springer, vol. 58(1), pages 191-222, January.
    27. Sirio Aramonte, 2022. "Inflation risk and the labor market: beneath the surface of a flat Phillips curve," BIS Working Papers 1054, Bank for International Settlements.
    28. Matthew Raskin, 2013. "The effects of the Federal Reserve's date-based forward guidance," Finance and Economics Discussion Series 2013-37, Board of Governors of the Federal Reserve System (U.S.).
    29. Dovern, Jonas & Manner, Hans, 2016. "Order Invariant Evaluation of Multivariate Density Forecasts," Working Papers 0608, University of Heidelberg, Department of Economics.
    30. Andrade, P. & Ghysels, E. & Idier, J., 2012. "Tails of Inflation Forecasts and Tales of Monetary Policy," Working papers 407, Banque de France.
    31. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
    32. Jason Brown & Nida Çakır Melek & Johannes Matschke & Sai Sattiraju, 2023. "The Missing Tail Risk in Option Prices," Research Working Paper RWP 23-02, Federal Reserve Bank of Kansas City.
    33. Jean-François Bégin, 2016. "Deflation Risk and Implications for Life Insurers," Risks, MDPI, vol. 4(4), pages 1-36, December.
    34. Gimeno, Ricardo & Ibáñez, Alfredo, 2018. "The eurozone (expected) inflation: An option's eyes view," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 70-92.
    35. Yoshibumi Makabe & Yoshihiko Norimasa, 2022. "The Term Structure of Inflation at Risk: A Panel Quantile Regression Approach," Bank of Japan Working Paper Series 22-E-4, Bank of Japan.
    36. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    37. Sayar Karmakar & Marek Chudý & Wei Biao Wu, 2022. "Long‐term prediction intervals with many covariates," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(4), pages 587-609, July.
    38. Roc Armenter, 2015. "On the use of market-based probabilities for policy decisions," Working Papers 15-44, Federal Reserve Bank of Philadelphia.
    39. Kejin Wu & Sayar Karmakar, 2021. "Model-Free Time-Aggregated Predictions for Econometric Datasets," Forecasting, MDPI, vol. 3(4), pages 1-14, December.
    40. Sayar Karmakar & Marek Chudy & Wei Biao Wu, 2020. "Long-term prediction intervals with many covariates," Papers 2012.08223, arXiv.org, revised Sep 2021.

  18. Jon Faust & Simon Gilchrist & Jonathan H. Wright & Egon Zakrajšek, 2012. "Credit spreads as predictors of real-time economic activity: a Bayesian Model-Averaging approach," Finance and Economics Discussion Series 2012-77, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Koji Takahashi & Sumiko Takaoka, 2023. "How much do firms need to satisfy employees? - Evidence from credit spreads and online employee reviews," BIS Working Papers 1111, Bank for International Settlements.
    2. Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2020. "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Working Papers 667, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    3. Dario Caldara & Cristina Fuentes-Albero & Simon Gilchrist & Egon Zakrajšek, 2016. "The Macroeconomic Impact of Financial and Uncertainty Shocks," International Finance Discussion Papers 1166, Board of Governors of the Federal Reserve System (U.S.).
    4. Narayan Kundan Kishor, 2021. "Forecasting real‐time economic activity using house prices and credit conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 213-227, March.
    5. Ha, Jongrim & Kose, M. Ayhan & Otrok, Christopher & Prasad, Eswar, 2020. "Global Macro-Financial Cycles and Spillovers," IZA Discussion Papers 13000, Institute of Labor Economics (IZA).
    6. Kupiec, Paul H., 2020. "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, vol. 51(C).
    7. Duca, John V., 2013. "Did the commercial paper funding facility prevent a Great Depression style money market meltdown?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 747-758.
    8. Angela Abbate & Massimiliano Marcellino, 2017. "Macroeconomic activity and risk indicators: an unstable relationship," BAFFI CAREFIN Working Papers 1756, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    9. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo.
    10. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    11. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.
    12. Merola, Rossana, 2015. "The role of financial frictions during the crisis: An estimated DSGE model," Economic Modelling, Elsevier, vol. 48(C), pages 70-82.
    13. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2022. ""Daily Growth at Risk: financial or real drivers? The answer is not always the same"," IREA Working Papers 202208, University of Barcelona, Research Institute of Applied Economics, revised Jun 2022.
    14. Iftekhar Hasan & Roman Horvath & Jan Mares, 2018. "Finance and Wealth Inequality," Working Papers IES 2018/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    15. Andrea Silvestrini & Andrea Zaghini, 2015. "Financial shocks and the real economy in a nonlinear world: a survey of the theoretical and empirical literature," Questioni di Economia e Finanza (Occasional Papers) 255, Bank of Italy, Economic Research and International Relations Area.
    16. Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," University of Göttingen Working Papers in Economics 415, University of Goettingen, Department of Economics.
    17. Marcelle Chauvet & Zeynep Senyuz & Emre Yoldas, 2013. "What does financial volatility tell us about macroeconomic fluctuations?," Finance and Economics Discussion Series 2013-61, Board of Governors of the Federal Reserve System (U.S.).
    18. Guender, Alfred V, 2018. "Credit prices vs. credit quantities as predictors of economic activity in Europe: Which tell a better story?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 380-399.
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    21. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    22. Gkougkousi, Xanthi & John, Kose & Radhakrishnan, Suresh & Sadka, Gil & Saunders, Anthony, 2022. "Cross-sectional dispersion and bank performance," Journal of Banking & Finance, Elsevier, vol. 138(C).
    23. Tatsuyoshi Okimoto & Sumiko Takaoka, 2024. "Sustainability and Credit Spreads in Japan," Springer Books, in: Sumiko Takaoka (ed.), Environmental Technology Innovation and ESG Investment, pages 11-38, Springer.
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    26. Paul Kitney, 2016. "Financial factors and monetary policy: Determinacy and learnability of equilibrium," CAMA Working Papers 2016-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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    30. De Santis, Roberto A., 2016. "Credit spreads, economic activity and fragmentation," Working Paper Series 1930, European Central Bank.
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    36. Karlsson, Sune & Österholm, Pär, 2019. "The Relation between the Corporate Bond-Yield Spread and the Real Economy: Stable or TimeVarying?," Working Papers 2019:7, Örebro University, School of Business.
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    41. Barnichon, Regis & Matthes, Christian & Ziegenbein, Alexander, 2016. "Assessing the Non-Linear Effects of Credit Market Shocks," CEPR Discussion Papers 11410, C.E.P.R. Discussion Papers.
    42. Ibarra-Ramírez Raúl, 2021. "The Yield Curve as a Predictor of Economic Activity in Mexico: The Role of the Term Premium," Working Papers 2021-07, Banco de México.
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    44. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic predictions with big data: the illusion of sparsity," Staff Reports 847, Federal Reserve Bank of New York.
    45. Hännikäinen, Jari, 2014. "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," MPRA Paper 56737, University Library of Munich, Germany.
    46. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
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    48. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
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    64. Francisco Covas & Ben Rump & Egon Zakrajšek, 2013. "Stress-testing U.S. bank holding companies: a dynamic panel quantile regression approach," Finance and Economics Discussion Series 2013-55, Board of Governors of the Federal Reserve System (U.S.).
    65. Takaoka, Sumiko, 2018. "Convenience yield on government bonds and unconventional monetary policy in Japanese corporate bond spreads," MPRA Paper 86418, University Library of Munich, Germany.
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    73. Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," Research Technical Papers 07/RT/12, Central Bank of Ireland.
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    85. Aromi, J. Daniel, 2020. "Linking words in economic discourse: Implications for macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1517-1530.
    86. Jürgen Antony & D. Broer, 2015. "Euro area financial shocks and economic activity in The Netherlands," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 571-595, August.
    87. Stefan Gebauer, 2017. "The Use of Financial Market Variables in Forecasting," DIW Roundup: Politik im Fokus 115, DIW Berlin, German Institute for Economic Research.
    88. Hafsa Hina & Henna Ahsan & Hania Afzal, 2022. "The Information in the Yield Spread for the Recession in the Case of Pakistan," PIDE-Working Papers 2022:11, Pakistan Institute of Development Economics.
    89. Jon D. Samuels & Rodrigo Sekkel, 2013. "Forecasting with Many Models: Model Confidence Sets and Forecast Combination," Staff Working Papers 13-11, Bank of Canada.
    90. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    91. Kuosmanen, Petri & Rahko, Jaana & Vataja, Juuso, 2019. "Predictive ability of financial variables in changing economic circumstances," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 37-47.
    92. Jari Hännikäinen, 2015. "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," Review of Financial Economics, John Wiley & Sons, vol. 26(1), pages 47-54, September.
    93. Ujjal Chatterjee, 2023. "Predicting economic growth: evidence from real-estate loans securitization," SN Business & Economics, Springer, vol. 3(3), pages 1-20, March.
    94. Jaehoon Hahn & Ho-Seong Moon, 2016. "Credit Cycle and the Macroeconomy: Empirical Evidence from Korea," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 22(4), pages 76-108, December.
    95. Aromi, J. Daniel & Clements, Adam, 2021. "Facial expressions and the business cycle," Economic Modelling, Elsevier, vol. 102(C).
    96. Sangyup Choi, 2018. "Bank Lending Standards, Loan Demand, and the Macroeconomy: Evidence from the Emerging Market Bank Loan Officer Survey," Working papers 2018rwp-126, Yonsei University, Yonsei Economics Research Institute.
    97. Kaviani, Mahsa S. & Kryzanowski, Lawrence & Maleki, Hosein & Savor, Pavel, 2020. "Policy uncertainty and corporate credit spreads," Journal of Financial Economics, Elsevier, vol. 138(3), pages 838-865.

  19. Dick van Dijk & Siem Jan Koopman & Michel van der Wel & Jonathan H. Wright, 2012. "Forecasting Interest Rates with Shifting Endpoints," Tinbergen Institute Discussion Papers 12-076/4, Tinbergen Institute.

    Cited by:

    1. Giacomini, Raffaella & Ragusa, Giuseppe & Altavilla, Carlo, 2013. "Anchoring the Yield Curve Using Survey Expectations," CEPR Discussion Papers 9738, C.E.P.R. Discussion Papers.
    2. Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2016. "The term structure of expectations and bond yields," Staff Reports 775, Federal Reserve Bank of New York.
    3. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    4. Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
    5. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
    6. Vieira, Fausto & Fernandes, Marcelo & Chague, Fernando, 2017. "Forecasting the Brazilian yield curve using forward-looking variables," International Journal of Forecasting, Elsevier, vol. 33(1), pages 121-131.
    7. Christoph Berninger & Almond Stöcker & David Rügamer, 2022. "A Bayesian time‐varying autoregressive model for improved short‐term and long‐term prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 181-200, January.
    8. Speck, Christian, 2023. "Pricing the Bund term structure with linear regressions – without an observable short rate," Discussion Papers 08/2023, Deutsche Bundesbank.
    9. Evangelos Salachas & Georgios P. Kouretas & Nikiforos T. Laopodis, 2024. "The term structure of interest rates and economic activity: Evidence from the COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1018-1041, July.
    10. Geiger, Felix & Schupp, Fabian, 2018. "With a little help from my friends: Survey-based derivation of euro area short rate expectations at the effective lower bound," Discussion Papers 27/2018, Deutsche Bundesbank.
    11. Hitesh Doshi & Kris Jacobs & Rui Liu, 2021. "Information in the Term Structure: A Forecasting Perspective," Management Science, INFORMS, vol. 67(8), pages 5255-5277, August.
    12. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    13. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    14. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    15. Daniel R. Kowal & Antonio Canale, 2021. "Semiparametric Functional Factor Models with Bayesian Rank Selection," Papers 2108.02151, arXiv.org, revised May 2022.
    16. Doshi, Hitesh & Jacobs, Kris & Liu, Rui, 2018. "Macroeconomic determinants of the term structure: Long-run and short-run dynamics," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 99-122.
    17. Jiazi Chen & Zhiwu Hong & Linlin Niu, 2022. "Forecasting Interest Rates with Shifting Endpoints: The Role of the Demographic Age Structure," Working Papers 2022-06-25, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    18. Eran Raviv, 2013. "Prediction Bias Correction for Dynamic Term Structure Models," Tinbergen Institute Discussion Papers 13-041/III, Tinbergen Institute.
    19. Malik, Sheheryar & Meldrum, Andrew, 2016. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 85-102.
    20. Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
    21. Badics, Milan Csaba & Huszar, Zsuzsa R. & Kotro, Balazs B., 2023. "The impact of crisis periods and monetary decisions of the Fed and the ECB on the sovereign yield curve network," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    22. Mr. Ralph Chami & Mr. Thomas F. Cosimano & Jun Ma & Ms. Celine Rochon, 2017. "What’s Different about Bank Holding Companies?," IMF Working Papers 2017/026, International Monetary Fund.
    23. Gaus, Eric & Sinha, Arunima, 2018. "What does the yield curve imply about investor expectations?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 248-265.
    24. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    25. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.
    26. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.

  20. Jonathan H. Wright, 2011. "What does Monetary Policy do to Long-Term Interest Rates at the Zero Lower Bound?," NBER Working Papers 17154, National Bureau of Economic Research, Inc.

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    1. Richhild Moessner, 2018. "Effects of asset purchases and financial stability measures on term premia in the euro area," National Institute of Economic and Social Research (NIESR) Discussion Papers 489, National Institute of Economic and Social Research.
    2. Glick, Reuven & Leduc, Sylvain, 2012. "Central bank announcements of asset purchases and the impact on global financial and commodity markets," Journal of International Money and Finance, Elsevier, vol. 31(8), pages 2078-2101.
    3. Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2018. "Effects of US Quantitative Easing on Emerging Market Economies," ADBI Working Papers 803, Asian Development Bank Institute.
    4. Ippolito, Filippo & Ozdagli, Ali K. & Perez-Orive, Ander, 2018. "The transmission of monetary policy through bank lending: The floating rate channel," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 49-71.
    5. Morris, Stephen D., 2020. "Is the Taylor principle still valid when rates are low?," Journal of Macroeconomics, Elsevier, vol. 64(C).
    6. Diana Hancock & Wayne Passmore, 2012. "The Federal Reserve's portfolio and its effects on mortgage markets," Finance and Economics Discussion Series 2012-22, Board of Governors of the Federal Reserve System (U.S.).
    7. George B. Tawadros & Imad A. Moosa, 2022. "A Structural Time Series Analysis of the Effect of Quantitative Easing on Stock Prices," IJFS, MDPI, vol. 10(4), pages 1-17, December.
    8. Boer, Lukas & Lütkepohl, Helmut, 2021. "Qualitative versus quantitative external information for proxy vector autoregressive analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    9. Luis F. Céspedes & Javier García-Cicco & Diego Saravia, 2013. "Monetary Policy at the Zero Lower Bound: The Chilean Experience," Working Papers Central Bank of Chile 712, Central Bank of Chile.
    10. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    11. Schrimpf, Paul & Kearns, Jonathan & Ferrari, Massimo, 2017. "Monetary policy's rising FX impact in the era of ultra-low rates," CEPR Discussion Papers 11918, C.E.P.R. Discussion Papers.
    12. Stéphane Lhuissier & Urszula Szczerbowicz, 2022. "Monetary Policy and Corporate Debt Structure," Post-Print hal-04459541, HAL.
    13. Aysun, Uluc & Jeon, Kiyoung & Kabukcuoglu, Zeynep, 2018. "Is the credit channel alive? Firm-level evidence on the sensitivity of borrowing spreads to monetary policy," Economic Modelling, Elsevier, vol. 75(C), pages 305-319.
    14. Juan A. Montecino & Gerald Epstein, 2015. "Have Large Scale Asset Purchases Increased Bank Profits?," Working Papers Series 5, Institute for New Economic Thinking.
    15. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    16. Lars E. O. Svensson, 2011. "Practical Monetary Policy: Examples from Sweden and the United States," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(2 (Fall)), pages 289-352.
    17. Berndt, Antje & Yeltekin, Şevin, 2015. "Monetary policy, bond returns and debt dynamics," Journal of Monetary Economics, Elsevier, vol. 73(C), pages 119-136.
    18. Thomas B. King, 2016. "Expectation and Duration at the Effective Lower Bound," Working Paper Series WP-2016-21, Federal Reserve Bank of Chicago.
    19. Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
    20. Janice C. Eberly & James H. Stock & Jonathan H. Wright, 2020. "The Federal Reserve's Current Framework for Monetary Policy: A Review and Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 16(1), pages 5-71, February.
    21. Bernard Dumas & Marcel R. Savioz, 2020. "A theory of the nominal character of stock securities," Working Papers 2020-03, Swiss National Bank.
    22. Michael D. Bauer & Christopher J. Neely, 2012. "International channels of the Fed’s unconventional monetary policy," Working Paper Series 2012-12, Federal Reserve Bank of San Francisco.
    23. Markus Leippold & Felix Matthys, 2022. "Economic Policy Uncertainty and the Yield Curve [Pricing the term structure with linear regressions]," Review of Finance, European Finance Association, vol. 26(4), pages 751-797.
    24. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi.
    25. Saghaian, Sayed H. & Reed, Michael R., 2014. "The Impact Of The Recent Federal Reserve Large-Scale Asset Purchases On The Agricultural Commodity Prices: A Historical Decomposition," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(2), pages 1-16, April.
    26. Mr. Sohrab Rafiq, 2015. "The Effects of U.S. Unconventional Monetary Policy on Asia Frontier Developing Economies," IMF Working Papers 2015/018, International Monetary Fund.
    27. Fructuoso Borrallo & Ignacio Hernando & Javier Vallés, 2016. "The effects of us unconventional monetary policies in Latin America," Working Papers 1606, Banco de España.
    28. Chi Hyun Kim & Lars Other, 2019. "The Short-Run Effect of Monetary Policy Shocks on Credit Risk: An Analysis of the Euro Area," Discussion Papers of DIW Berlin 1781, DIW Berlin, German Institute for Economic Research.
    29. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2015. "The QE experience: Worth a try?," Post-Print hal-03568216, HAL.
    30. Eksi, Ozan & Tas, Bedri Kamil Onur, 2017. "Unconventional monetary policy and the stock market’s reaction to Federal Reserve policy actions," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 136-147.
    31. Michael Hachula & Michele Piffer & Malte Rieth, 2016. "Unconventional Monetary Policy, Fiscal Side Effects and Euro Area (Im)balances," Discussion Papers of DIW Berlin 1596, DIW Berlin, German Institute for Economic Research.
    32. Michael D. Bauer, 2015. "Nominal Interest Rates and the News," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 295-332, March.
    33. Wright, Jonathan & Gürkaynak, Refet, 2013. "Identification and Inference Using Event Studies," CEPR Discussion Papers 9388, C.E.P.R. Discussion Papers.
    34. Saghaian, Sayed & Reed, Michael, 2015. "Spillover Effects Of U.S. Federal Reserve’S Recent Quantitative Easing On Canadian Commodity Prices," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(01), pages 1-33, January.
    35. Bailey, Andrew & Bridges, Jonathan & Harrison, Richard & Jones, Josh & Mankodi, Aakash, 2020. "The central bank balance sheet as a policy tool: past, present and future," Bank of England working papers 899, Bank of England.
    36. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    37. Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2021. "The Real Effects of Financial Uncertainty Shocks: A Daily Identification Approach," Documentos de Trabajo 559, Instituto de Economia. Pontificia Universidad Católica de Chile..
    38. Carlo Altavilla & Domenico Giannone, 2014. "The effectiveness of non-standard monetary policy measures: evidence from survey data," Working Papers CASMEF 1406, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    39. Nathan Foley-Fisher & Rodney Ramcharan & Edison Yu, 2015. "The impact of unconventional monetary policy on firm financing constraints: evidence from the maturity extension program," Working Papers 15-30, Federal Reserve Bank of Philadelphia.
    40. Christophe Blot & Caroline Bozou & Jérôme Creel & Paul Hubert, 2021. "Are all Central Bank Asset Purchases the Same? Different Rationales, Different Effects," SciencePo Working papers Main hal-03554141, HAL.
    41. Massimo Guidolin & Alexei G. Orlov & Manuela Pedio, 2014. "Understanding the Impact of Monetary Policy Shocks on the Corporate Bond Market in Good and Bad Times: A Markov Switching Model," BAFFI CAREFIN Working Papers 1623, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    42. Kyungmin Kim & Thomas Laubach & Min Wei, 2020. "Macroeconomic Effects of Large-Scale Asset Purchases: New Evidence," Finance and Economics Discussion Series 2020-047, Board of Governors of the Federal Reserve System (U.S.).
    43. Christophe Blot & Paul Hubert & Jérôme Creel & Caroline Bozou, 2023. "The conditionality of monetary policy instruments," Working Papers hal-04159848, HAL.
    44. Siami-Namini, Sima & Hudson, Darren & Trindade, A. Alexandre & Lyford, Conrad, 2018. "Commodity Prices, Monetary Policy and the Taylor Rule," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266722, Southern Agricultural Economics Association.
    45. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
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    47. Michael T. Kiley, 2014. "The Response of Equity Prices to Movements in Long‐Term Interest Rates Associated with Monetary Policy Statements: Before and After the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(5), pages 1057-1071, August.
    48. Falagiarda, Matteo & Reitz, Stefan, 2013. "Announcements of ECB unconventional programs: Implications for the sovereign risk of Italy," Kiel Working Papers 1866, Kiel Institute for the World Economy (IfW Kiel).
    49. Fratzscher, Marcel & Straub, Roland & Lo Duca, Marco, 2012. "A global monetary tsunami? On the spillovers of US Quantitative Easing," CEPR Discussion Papers 9195, C.E.P.R. Discussion Papers.
    50. Belke, Ansgar & Gros, Daniel, 2021. "QE in the euro area: Has the PSPP benefited peripheral bonds?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    51. Sui-Jade Ho & Özer Karagedikli, 2021. "Effects of Monetary Policy Communication in Emerging Market Economies: Evidence from Malaysia," Working Papers wp44, South East Asian Central Banks (SEACEN) Research and Training Centre.
    52. Falagiarda, Matteo & Reitz, Stefan, 2015. "Announcements of ECB unconventional programs: Implications for the sovereign spreads of stressed euro area countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 276-295.
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    54. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
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    6. Peppel-Srebrny, Jemima, 2021. "Not all government budget deficits are created equal: Evidence from advanced economies' sovereign bond markets," Journal of International Money and Finance, Elsevier, vol. 118(C).
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    2. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    3. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2018. "Using low frequency information for predicting high frequency variables," International Journal of Forecasting, Elsevier, vol. 34(4), pages 774-787.
    4. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    5. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    6. Álvarez, Luis J. & Sánchez, Isabel, 2019. "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 568-585.
    7. Tomasz Wozniak, 2016. "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series 2021, The University of Melbourne.
    8. Michael Clements, 2017. "Do forecasters target first or later releases of national accounts data?," ICMA Centre Discussion Papers in Finance icma-dp2017-03, Henley Business School, University of Reading.
    9. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
    10. Monokroussos, George & Zhao, Yongchen, 2020. "Nowcasting in real time using popularity priors," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1173-1180.
    11. Michael P. Clements, 2014. "Long-Run Restrictions and Survey Forecasts of Output, Consumption and Investment," ICMA Centre Discussion Papers in Finance icma-dp2014-02, Henley Business School, University of Reading.
    12. Andrew B. Martinez & Jennifer L. Castle & David F. Hendry, 2021. "Smooth Robust Multi-Horizon Forecasts," Economics Papers 2021-W01, Economics Group, Nuffield College, University of Oxford.
    13. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    14. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    15. Luis J. Álvarez & Isabel Sánchez, 2017. "A suite of inflation forecasting models," Occasional Papers 1703, Banco de España.
    16. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    17. Milan Szabo, 2024. "Disciplining growth‐at‐risk models with survey of professional forecasters and Bayesian quantile regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1975-1981, September.
    18. Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
    19. Damian Stelmasiak & Grzegorz Szafrański, 2016. "Forecasting the Polish Inflation Using Bayesian VAR Models with Seasonality," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 21-42, March.
    20. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    21. Tomasz Woźniak, 2016. "Bayesian Vector Autoregressions," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(3), pages 365-380, September.
    22. Jiazi Chen & Zhiwu Hong & Linlin Niu, 2022. "Forecasting Interest Rates with Shifting Endpoints: The Role of the Demographic Age Structure," Working Papers 2022-06-25, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    23. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.
    24. Bjarni G. Einarsson, 2024. "Online Monitoring of Policy Optimality," Economics wp95, Department of Economics, Central bank of Iceland.
    25. Huw Dixon & Joshy Easaw & Saeed Heravi, 2020. "Forecasting inflation gap persistence: Do financial sector professionals differ from nonfinancial sector ones?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 461-474, July.
    26. Joshua C.C. Chan & Yong Song, 2018. "Measuring Inflation Expectations Uncertainty Using High‐Frequency Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1139-1166, September.
    27. Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018. "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
    28. Andrew B. Martinez, 2020. "Extracting Information from Different Expectations," Working Papers 2020-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    29. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
    30. Elliott, Graham & Timmermann, Allan G, 2016. "Forecasting in Economics and Finance," University of California at San Diego, Economics Working Paper Series qt6z55v472, Department of Economics, UC San Diego.
    31. Dimitrios P. Louzis, 2016. "Macroeconomic forecasting and structural changes in steady states," Working Papers 204, Bank of Greece.
    32. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.

  23. Min Wei & Jonathan H. Wright, 2009. "Confidence intervals for long-horizon predictive regressions via reverse regressions," Finance and Economics Discussion Series 2009-27, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Bakshi, Gurdip & Panayotov, George, 2013. "Predictability of currency carry trades and asset pricing implications," Journal of Financial Economics, Elsevier, vol. 110(1), pages 139-163.
    2. Bakshi, Gurdip & Panayotov, George & Skoulakis, Georgios, 2011. "Improving the predictability of real economic activity and asset returns with forward variances inferred from option portfolios," Journal of Financial Economics, Elsevier, vol. 100(3), pages 475-495, June.
    3. Heaton, Chris, 2015. "Testing for multiple-period predictability between serially dependent time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 587-597.

  24. Meredith J. Beechey & Jonathan H. Wright, 2008. "The high-frequency impact of news on long-term yields and forward rates: Is it real?," Finance and Economics Discussion Series 2008-39, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Michelle L. Barnes & N. Aaron Pancost, 2010. "The sensitivity of long-term interest rates to economic news: comment," Working Papers 10-7, Federal Reserve Bank of Boston.
    2. Tillmann, Peter, 2020. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224545, Verein für Socialpolitik / German Economic Association.
    3. Carboni, Giacomo & Ellison, Martin, 2022. "Preferred habitat and monetary policy through the looking-glass," Working Paper Series 2697, European Central Bank.
    4. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    5. Bianchi, Francesco & Gómez-Cram, Roberto & Kind, Thilo & Kung, Howard, 2023. "Threats to central bank independence: High-frequency identification with twitter," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 37-54.
    6. Tobias Adrian & Hao Wu, 2009. "The term structure of inflation expectations," Staff Reports 362, Federal Reserve Bank of New York.
    7. Kaminska, Iryna & Mumtaz, Haroon & Šustek, Roman, 2021. "Monetary policy surprises and their transmission through term premia and expected interest rates," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 48-65.
    8. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    9. Shiller, Robert J. & Campbell, John Y. & Viceira, Luis Manuel, 2009. "Understanding Inflation-Indexed Bond Markets," Scholarly Articles 10885503, Harvard University Department of Economics.
    10. Born, Benjamin & Dovern, Jonas & Enders, Zeno, 2020. "Expectation dispersion, uncertainty, and the reaction to news," Working Papers 29, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    11. Kenneth N. Kuttner & Adam S. Posen, 2007. "Do Markets Care Who Chairs the Central Bank?," Working Paper Series WP07-3, Peterson Institute for International Economics.
    12. Grothe, Magdalena & Lejsgaard Autrup, Søren, 2014. "Economic surprises and inflation expectations: Has anchoring of expectations survived the crisis?," Working Paper Series 1671, European Central Bank.
    13. Gürkaynak, Refet & Kısacıkoğlu, Burçin & Wright, Jonathan, 2018. "Missing Events in Event Studies: Identifying the Effects of Partially-Measured News Surprises," CEPR Discussion Papers 13153, C.E.P.R. Discussion Papers.
    14. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2014. "Level shifts in stock returns driven by large shocks," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 41-51.
    15. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš, 2019. "Central bank announcements and realized volatility of stock markets in G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 117-135.
    16. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    17. Carlo Rosa, 2012. "How "unconventional" are large-scale asset purchases? The impact of monetary policy on asset prices," Staff Reports 560, Federal Reserve Bank of New York.
    18. Mehmet Pasaogullari & Simeon Tsonevy, 2011. "The term structure of inflation compensation in the nominal yield curve," Working Papers (Old Series) 1133, Federal Reserve Bank of Cleveland.
    19. Hubert Paul, 2017. "Qualitative and quantitative central bank communication and inflation expectations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-41, January.
    20. Gerlach, Stefan & Moretti, Laura, 2011. "Monetary policy and TIPS yields before the crisis," CFS Working Paper Series 2011/22, Center for Financial Studies (CFS).
    21. Deepa Datta & Benjamin K Johannsen & Hannah Kwon & Robert J Vigfusson, 2017. "Oil, equities, and the zero lower bound," BIS Working Papers 617, Bank for International Settlements.
    22. Marcio Garcia & Marcelo Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "The impact of macroeconomic announcements in the Brazilian futures markets," Textos para discussão 623, Department of Economics PUC-Rio (Brazil).
    23. Monticini, Andrea & Peel, David & Vaciago, Giacomo, 2011. "The impact of ECB and FED announcements on the Euro interest rates," Economics Letters, Elsevier, vol. 113(2), pages 139-142.
    24. Winkelmann, Lars & Yao, Wenying, 2020. "Cojump anchoring," Discussion Papers 2020/17, Free University Berlin, School of Business & Economics.
    25. Thomas Gilbert & Chiara Scotti & Georg Strasser & Clara Vega, 2015. "Is the Intrinsic Value of Macroeconomic News Announcements Related to their Asset Price Impact?," Finance and Economics Discussion Series 2015-46, Board of Governors of the Federal Reserve System (U.S.).
    26. Winkelmann, Lars & Bibinger, Markus & Linzert, Tobias, 2013. "ECB monetary policy surprises: identification through cojumps in interest rates," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79721, Verein für Socialpolitik / German Economic Association.
    27. Samuel G Hanson & David O Lucca & Jonathan H Wright, 2021. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1719-1781.
    28. Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2017. "Is the intrinsic value of a macroeconomic news announcement related to its asset price impact?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 78-95.
    29. Hamilton, James D. & Wu, Jing Cynthia, 2014. "Testable implications of affine term structure models," Journal of Econometrics, Elsevier, vol. 178(P2), pages 231-242.
    30. Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Finance and Economics Discussion Series 2014-52, Board of Governors of the Federal Reserve System (U.S.).
    31. Christoph E. Boehm & T. Niklas Kroner, 2023. "The US, Economic News, and the Global Financial Cycle," NBER Working Papers 30994, National Bureau of Economic Research, Inc.
    32. Liebermann, Joelle, 2011. "The Impact of Macroeconomic News on Bond Yields: (In)Stabilities over Time and Relative Importance," Research Technical Papers 7/RT/11, Central Bank of Ireland.
    33. Patrick D'Arcy & Emily Poole, 2010. "Interpreting Market Responses to Economic Data," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 35-42, September.
    34. Polyzos, Efstathios, 2023. "Inflation and the war in Ukraine: Evidence using impulse response functions on economic indicators and Twitter sentiment," Research in International Business and Finance, Elsevier, vol. 66(C).
    35. Cristhian Hernando Ruiz Cardozo & Jens H. E. Christensen, 2023. "The Benefit of Inflation-Indexed Debt: Evidence from an Emerging Bond Market," Working Paper Series 2023-04, Federal Reserve Bank of San Francisco.
    36. Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    37. Connolly, Robert & Dubofsky, David & Stivers, Chris, 2018. "Macroeconomic uncertainty and the distant forward-rate slope," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 140-161.
    38. Paul Hubert, 2014. "Disentangling qualitative and quantitative central bank influence," SciencePo Working papers Main hal-01098464, HAL.
    39. Amengual, Dante & Xiu, Dacheng, 2018. "Resolution of policy uncertainty and sudden declines in volatility," Journal of Econometrics, Elsevier, vol. 203(2), pages 297-315.
    40. Strohsal, Till & Melnick, Rafi & Nautz, Dieter, 2016. "The time-varying degree of inflation expectations anchoring," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 62-71.
    41. Christoph S. Weber, 2017. "The Effect of Central Bank Transparency on Exchange Rate Volatility," Working Papers 174, Bavarian Graduate Program in Economics (BGPE).
    42. McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    43. Pacheco, André Sanchez, 2023. "Inflation surprises across developed and emerging economies," Textos para discussão 566, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    44. Vilhelmsson, Anders, 2020. "Macro news and long-run volatility expectations," Knut Wicksell Working Paper Series 2020/1, Lund University, Knut Wicksell Centre for Financial Studies.
    45. De Rezende, Rafael B., 2015. "Risks in macroeconomic fundamentals and excess bond returns predictability," Working Paper Series 295, Sveriges Riksbank (Central Bank of Sweden).
    46. Pitschner, Stefan, 2013. "Using Financial Markets To Estimate the Macro Effects of Monetary Policy:," Working Paper Series 267, Sveriges Riksbank (Central Bank of Sweden).
    47. Michael J. Fleming & Neel Krishnan, 2012. "The microstructure of the TIPS market," Economic Policy Review, Federal Reserve Bank of New York, vol. 18(Mar), pages 27-45.
    48. Ali Ozdagli, 2013. "Not so fast: high-frequency financial data for macroeconomic event studies," Working Papers 13-19, Federal Reserve Bank of Boston.
    49. Goodell, John W. & Alon, Ilan & Chiaramonte, Laura & Dreassi, Alberto & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Risk substitution in cryptocurrencies: Evidence from BRICS announcements," Emerging Markets Review, Elsevier, vol. 54(C).
    50. Hamilton, James D. & Wu, Jing Cynthia, 2012. "Identification and estimation of Gaussian affine term structure models," Journal of Econometrics, Elsevier, vol. 168(2), pages 315-331.
    51. Degiannakis, Stavros & Filis, George & Tsemperlidis, Stefanos, 2018. "Economic announcements and the 10-year US Treasury bond: Surprising findings without the surprise component," MPRA Paper 94176, University Library of Munich, Germany.
    52. Aït-Sahalia, Yacine & Xiu, Dacheng, 2016. "Increased correlation among asset classes: Are volatility or jumps to blame, or both?," Journal of Econometrics, Elsevier, vol. 194(2), pages 205-219.
    53. Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
    54. Winkelmann, Lars & Bibinger, Markus & Linzert, Tobias, 2013. "ECB monetary policy surprises: Identification through cojumps in interest rates," SFB 649 Discussion Papers 2013-038, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    55. Peter Tillmann, 2020. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," MAGKS Papers on Economics 202007, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    56. Kurov, Alexander & Stan, Raluca, 2018. "Monetary policy uncertainty and the market reaction to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 127-142.
    57. Michael D. Bauer, 2014. "Inflation Expectations and the News," Working Paper Series 2014-9, Federal Reserve Bank of San Francisco.
    58. Daniel Perico Ortiz, 2023. "Economic policy statements, social media, and stock market uncertainty: An analysis of Donald Trump’s tweets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 333-367, June.
    59. Lars Winkelmann & Markus Bibinger & Tobias Linzert, 2016. "ECB Monetary Policy Surprises: Identification Through Cojumps in Interest Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 613-629, June.
    60. Burçin Kısacıkoğlu, 2020. "Real Term Structure and New Keynesian Models," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 95-139, June.
    61. Ciccarelli, Matteo & Garcí­a, Juan Angel, 2009. "What drives euro area break-even inflation rates?," Working Paper Series 996, European Central Bank.
    62. Carlo Rosa, 2013. "The high-frequency response of energy prices to monetary policy: understanding the empirical evidence," Staff Reports 598, Federal Reserve Bank of New York.
    63. Strohsal, Till & Winkelmann, Lars, 2012. "Assessing the anchoring of inflation expectations," SFB 649 Discussion Papers 2012-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    64. Juan Angel García & Sebastian E. V. Werner, 2021. "Inflation News and Euro-Area Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 17(3), pages 1-60, September.
    65. Peter Tillmann, 2023. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 351-388, June.
    66. Perico Ortiz, Daniel, 2021. "The high frequency impact of economic policy narratives on stock market uncertainty," FAU Discussion Papers in Economics 02/2021, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    67. Stylianos X. Koufadakis, 2015. "Asymmetries on Closed End Country Funds Premium and Monetary Policy Announcements: An Approach Trough the Perspective of Foreign Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(3-4), pages 29-65, july-Dece.
    68. Linzert, Tobias & Winkelmann, Lars & Bibinger, Markus, 2014. "ECB monetary policy surprises: identification through cojumps in interest rates," Working Paper Series 1674, European Central Bank.
    69. Perico Ortiz, Daniel, 2023. "Inflation news coverage, expectations and risk premium," FAU Discussion Papers in Economics 05/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    70. Santos, Francisco Luna & Garcia, Márcio Gomes Pinto & Medeiros, Marcelo Cunha, 2016. "The High Frequency Impact of Macroeconomic Announcements in the Brazilian Futures Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    71. Moretti, Laura, 2014. "Monetary policy, long real yields and the financial crisis," CFS Working Paper Series 457, Center for Financial Studies (CFS).
    72. Timmermann, Allan & Burjack, Rafael & Qu, Ritong, 2019. "Fluctuations in Economic Uncertainty and Transmission of Monetary Policy Shocks: Evidence Using Daily Surveys from Brazil," CEPR Discussion Papers 14097, C.E.P.R. Discussion Papers.
    73. Zhang, Ji, 2016. "Macroeconomic news and the real interest rates at the zero lower bound," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 172-185.
    74. Boffelli, Simona & Urga, Giovanni, 2015. "Macroannouncements, bond auctions and rating actions in the European government bond spreads," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 148-173.

  25. Jon Faust & Jonathan H. Wright, 2008. "Efficient Prediction of Excess Returns," NBER Working Papers 14169, National Bureau of Economic Research, Inc.

    Cited by:

    1. Coen N. Teulings & Nick Zubanov, 2010. "Is Economic Recovery a Myth? Robust Estimation of Impulse Responses," Tinbergen Institute Discussion Papers 10-040/3, Tinbergen Institute, revised 07 Jul 2011.
    2. Erdemlioglu, Deniz, 2009. "Macro Factors in UK Excess Bond Returns: Principal Components and Factor-Model Approach," MPRA Paper 28895, University Library of Munich, Germany.
    3. Mario Alloza & Jesús Gonzalo & Carlos Sanz, 2019. "Dynamic effects of persistent shocks," Working Papers 1944, Banco de España.
    4. Wachter, Jessica A. & Warusawitharana, Missaka, 2015. "What is the chance that the equity premium varies over time? Evidence from regressions on the dividend-price ratio," Journal of Econometrics, Elsevier, vol. 186(1), pages 74-93.
    5. Jon Faust & Jonathan H. Wright, 2018. "Risk Premia in the 8:30 Economy," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-19, September.
    6. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    7. Yan Carrière-Swallow & Bertrand Gruss & Nicolas E. Magud & Fabián Valencia, 2021. "Monetary Policy Credibility and Exchange Rate Pass-Through," International Journal of Central Banking, International Journal of Central Banking, vol. 17(3), pages 61-94, September.
    8. Riza Erdugan & Nada Kulendran & Riccardo Natoli, 2019. "Incorporating financial market volatility to improve forecasts of directional changes in Australian share market returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 417-445, December.
    9. Spilimbergo, Antonio & Magud, Nicolas, 2021. "Economic and Institutional Consequences of Populism," CEPR Discussion Papers 15824, C.E.P.R. Discussion Papers.

  26. Refet S. Gürkaynak & Brian P. Sack & Jonathan H. Wright, 2008. "The TIPS yield curve and inflation compensation," Finance and Economics Discussion Series 2008-05, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    2. Choi, Sangyup & Shin, Junhyeok & Yoo, Seung Yong, 2022. "Are government spending shocks inflationary at the zero lower bound? New evidence from daily data," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    3. Hamza Bennani, 2023. "Overconfidence of the chair of the Federal Reserve and market expectations: Evidence based on media coverage," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3403-3419, July.
    4. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    5. Auckenthaler, Julia & Kupfer, Alexander & Sendlhofer, Rupert, 2015. "The impact of liquidity on inflation-linked bonds: A hypothetical indexed bonds approach," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 139-154.
    6. Matthias Fleckenstein & Francis A. Longstaff & Hanno Lustig, 2010. "Why Does the Treasury Issue Tips? The Tips-Treasury Bond Puzzle," NBER Working Papers 16358, National Bureau of Economic Research, Inc.
    7. Oya Celasun & Mr. Lev Ratnovski & Miss Roxana Mihet, 2012. "Commodity Prices and Inflation Expectations in the United States," IMF Working Papers 2012/089, International Monetary Fund.
    8. Christopher D. Cotton, 2021. "Debt, Deficits, and Interest Rates," Current Policy Perspectives 93543, Federal Reserve Bank of Boston.
    9. George J. Hall & Thomas J. Sargent, 2011. "Interest Rate Risk and Other Determinants of Post-WWII US Government Debt/GDP Dynamics," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 192-214, July.
    10. Suzuki, Masataka, 2016. "A representative agent asset pricing model with heterogeneous beliefs and recursive utility," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 298-315.
    11. Sarah Mouabbi & Jean-Paul Renne & Jean-Guillaume Sahuc, 2021. "Debt-Stabilizing Properties of GDP-Linked Securities: A Macro-Finance Perspective," Working papers 844, Banque de France.
    12. Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2016. "The term structure of expectations and bond yields," Staff Reports 775, Federal Reserve Bank of New York.
    13. Paul Ehling & Christian Heyerdahl-Larsen, 2017. "Correlations," Management Science, INFORMS, vol. 63(6), pages 1919-1937, June.
    14. Gilbert Cette & Marielle de Jong, 2013. "Breakeven inflation rates and their puzzling correlation relationships," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2579-2585, June.
    15. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    16. Kim, Young Min & Kang, Kyu Ho & Ka, Kook, 2020. "Do bond markets find inflation targets credible? Evidence from five inflation-targeting countries," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 66-84.
    17. Li, Kai, 2019. "Portfolio selection with inflation-linked bonds and indexation lags," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    18. Robert A Connolly & David Dubofsky & Chris Stivers, 2021. "Economic-State Variation in Uncertainty-Yield Dynamics [Do macro variables, asset markets, or surveys forecast inflation better?]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(1), pages 60-104.
    19. Tobias Adrian & Hao Wu, 2009. "The term structure of inflation expectations," Staff Reports 362, Federal Reserve Bank of New York.
    20. Thórarinn G. Pétursson, 2019. "Long-term inflation expectations and inflation dynamics," Economics wp81, Department of Economics, Central bank of Iceland.
    21. Startz Richard & Tsang Kwok Ping, 2012. "Nonexponential Discounting: A Direct Test And Perhaps A New Puzzle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-35, November.
    22. Martin M Andreasen & Jens H E Christensen & Simon Riddell, 2021. "The TIPS Liquidity Premium [Decomposing real and nominal yield curves]," Review of Finance, European Finance Association, vol. 25(6), pages 1639-1675.
    23. Westerhout, Ed, 2016. "A comparison of nominal and indexed debt under fiscal constraints," CEPR Discussion Papers 11141, C.E.P.R. Discussion Papers.
    24. Goliński, Adam, 2021. "Monetary policy at the zero lower bound: Information in the Federal Reserve’s balance sheet," European Economic Review, Elsevier, vol. 131(C).
    25. Nautz, Dieter & Strohsal, Till, 2015. "Are US inflation expectations re-anchored?," Economics Letters, Elsevier, vol. 127(C), pages 6-9.
    26. Kliem, Martin & Meyer-Gohde, Alexander, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers 2017-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    27. Jared C. Carbone & Robert S. Gazzale, 2014. "A Shared Sense of Responsibility: Money versus effort contributions in the voluntary provision of public goods," Working Papers 2014-06, Colorado School of Mines, Division of Economics and Business.
    28. Szőke, Bálint, 2022. "Estimating robustness," Journal of Economic Theory, Elsevier, vol. 199(C).
    29. Altug, Sumru & Çakmaklı, Cem, 2015. "Forecasting Inflation using Survey Expectations and Target Inflation: Evidence for Brazil and Turkey," CEPR Discussion Papers 10419, C.E.P.R. Discussion Papers.
    30. Pflueger, Carolin & Rinaldi, Gianluca, 2022. "Why does the Fed move markets so much? A model of monetary policy and time-varying risk aversion," Journal of Financial Economics, Elsevier, vol. 146(1), pages 71-89.
    31. Michele Andreolli & Hélène Rey, 2023. "The Fiscal Consequences of Missing an Inflation Target," NBER Working Papers 30819, National Bureau of Economic Research, Inc.
    32. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    33. Shiller, Robert J. & Campbell, John Y. & Viceira, Luis Manuel, 2009. "Understanding Inflation-Indexed Bond Markets," Scholarly Articles 10885503, Harvard University Department of Economics.
    34. Speck, Christian, 2023. "Pricing the Bund term structure with linear regressions – without an observable short rate," Discussion Papers 08/2023, Deutsche Bundesbank.
    35. Grothe, Magdalena & Lejsgaard Autrup, Søren, 2014. "Economic surprises and inflation expectations: Has anchoring of expectations survived the crisis?," Working Paper Series 1671, European Central Bank.
    36. Fernando M. Duarte & Carlo Rosa, 2015. "The equity risk premium: a review of models," Economic Policy Review, Federal Reserve Bank of New York, issue 2, pages 39-57.
    37. Francisco Palomino & Alex Hsu, 2013. "What do Nominal Rigidities and Monetary Policy tell us about the Real Yield Curve?," 2013 Meeting Papers 50, Society for Economic Dynamics.
    38. Fabienne Schneider, 2024. "On-the-run Premia, Settlement Fails, and Central Bank Access," Working Papers 24.05, Swiss National Bank, Study Center Gerzensee.
    39. Macchiarelli, Corrado, 2011. "Bond market co-movements, expected inflation and the equilibrium real exchange rate," Working Paper Series 1405, European Central Bank.
    40. Güler, Mustafa Haluk & Keleş, Gürsu & Polat, Tandoğan, 2017. "An empirical decomposition of the liquidity premium in breakeven inflation rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 185-192.
    41. Jens Hilscher & Alon Raviv & Ricardo Reis, 2022. "Inflating Away the Public Debt? An Empirical Assessment," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1553-1595.
    42. Michael Abrahams & Tobias Adrian & Richard K. Crump & Emanuel Moench, 2012. "Decomposing real and nominal yield curves," Staff Reports 570, Federal Reserve Bank of New York.
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    120. Bolorsuvd Batbold & Kentaro Kikuchi & Koji Kusuda, 2022. "Semi-analytical solution for consumption and investment problem under quadratic security market model with inflation risk," Mathematics and Financial Economics, Springer, volume 16, number 4, February.
    121. Zeng, Zheng, 2013. "New tips from TIPS: Identifying inflation expectations and the risk premia of break-even inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 125-139.
    122. Jens H. E. Christensen, 2008. "Treasury bond yields and long-run inflation expectations," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue aug15.
    123. Athanasios Geromichalos & Lucas Herrenbrueck & Changhyun Lee & Sukjoon Lee, 2024. "What’s so Inconvenient About TIPS?," Working Papers 364, University of California, Davis, Department of Economics.
    124. Michelle L. Barnes & Zvi Bodie & Robert K. Triest & J. Christina Wang, 2009. "TIPS scorecard: are TIPS accomplishing what they were supposed to accomplish?: can they be improved?," Public Policy Discussion Paper 09-8, Federal Reserve Bank of Boston.
    125. Gimeno, Ricardo & Ibáñez, Alfredo, 2018. "The eurozone (expected) inflation: An option's eyes view," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 70-92.
    126. Kozak, Serhiy, 2022. "Dynamics of bond and stock returns," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 188-209.
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  27. Jonathan H. Wright, 2008. "Term premiums and inflation uncertainty: empirical evidence from an international panel dataset," Finance and Economics Discussion Series 2008-25, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Jessica James & Michael Leister & Christoph Rieger, 2017. "An empirical method of calculating the term premium," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1783-1793, December.
    2. Lahlou, Kamal & Bennouna , Hicham, 2022. "Contributions des facteurs domestiques et externes à la dynamique de l’inflation au Maroc," Document de travail 2022-1, Bank Al-Maghrib, Département de la Recherche.
    3. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    4. Sangyong Joo & Daehwan Kim & Jeffrey Nilsen, 2021. "Monetary Policy and Long-Term Interest Rates in Korea: A Decomposition Analysis," Korean Economic Review, Korean Economic Association, vol. 37, pages 327-366.
    5. Michael T. Kiley, 2008. "Inflation expectations, uncertainty, the Phillips curve, and monetary policy - comments," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.

  28. Alain P. Chaboud & Sergey V. Chernenko & Jonathan H. Wright, 2007. "Trading activity and exchange rates in high-frequency EBS data," International Finance Discussion Papers 903, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Kentaro Iwatsubo & Yoshihiro Kitamura, 2008. "Intraday Evidence of the Informational Efficiency of the Yen/Dollar Exchange Rate," Discussion Papers 0801, Graduate School of Economics, Kobe University.
    2. MASUJIMA Yuki & SATO Yuki, 2024. "Drivers of Post-pandemic Currency Movement: Recurring impacts of sovereign risks and oil prices," Discussion papers 24054, Research Institute of Economy, Trade and Industry (RIETI).
    3. Chang, Ya-Ting & Gau, Yin-Feng & Hsu, Chih-Chiang, 2017. "Liquidity Commonality in Foreign Exchange Markets During the Global Financial Crisis and the Sovereign Debt Crisis: Effects of Macroeconomic and Quantitative Easing Announcements," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 172-192.
    4. Ranaldo, Angelo & de Magistris, Paolo Santucci, 2022. "Liquidity in the global currency market," Journal of Financial Economics, Elsevier, vol. 146(3), pages 859-883.

  29. David K. Backus & Jonathan H. Wright, 2007. "Cracking the conundrum," Finance and Economics Discussion Series 2007-46, Board of Governors of the Federal Reserve System (U.S.).

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    1. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2019. "Money, Credit, Monetary Policy, and the Business Cycle in the Euro Area: What Has Changed Since the Crisis?," International Journal of Central Banking, International Journal of Central Banking, vol. 15(5), pages 137-173, December.
    2. Adam Kucera & Evzen Kocenda & Ales Marsal, 2022. "Yield Curve Dynamics and Fiscal Policy Shocks," Working Papers IES 2022/04, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2022.
    3. Michael D. Bauer, 2018. "Restrictions on Risk Prices in Dynamic Term Structure Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(2), pages 196-211, April.
    4. Michael D. Bauer & Carolin Pflueger & Adi Sunderam, 2023. "Perceptions about Monetary Policy," Working Paper Series 2023-31, Federal Reserve Bank of San Francisco.
    5. Dewachter, Hans & Iania, Leonardo, 2012. "An Extended Macro-Finance Model with Financial Factors," LIDAM Reprints LFIN 2012001, Université catholique de Louvain, Louvain Finance (LFIN).
    6. Gil-Alana, Luis A. & Moreno, Antonio, 2012. "Uncovering the US term premium: An alternative route," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1181-1193.
    7. Mirko Abbritti & Luis A. Gil-Alana & Yuliya Lovcha & Antonio Moreno, 2016. "Term Structure Persistence," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 331-352.
    8. Adam Kucera & Michal Dvorak & Zlatuse Komarkova, 2017. "Decomposition of the Czech government bond yield curve," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2016/2017, chapter 0, pages 125-134, Czech National Bank.
    9. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2010. "The Bond Yield Conundrum : Alternative Hypotheses and the State of the Economy," Discussion Paper 2010-121, Tilburg University, Center for Economic Research.
    10. Don H. Kim, 2008. "Challenges in macro-finance modeling," Finance and Economics Discussion Series 2008-06, Board of Governors of the Federal Reserve System (U.S.).
    11. Jongen, Ron & Verschoor, Willem F.C. & Wolff, Christian C.P., 2011. "Time-variation in term premia: International survey-based evidence," Journal of International Money and Finance, Elsevier, vol. 30(4), pages 605-622, June.
    12. Felix Geiger, 2009. "International Interest-Rate Risk Premia in Affine Term Structure Models," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 316/2009, Department of Economics, University of Hohenheim, Germany.
    13. Mehmet Pasaogullari & Simeon Tsonevy, 2011. "The term structure of inflation compensation in the nominal yield curve," Working Papers (Old Series) 1133, Federal Reserve Bank of Cleveland.
    14. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    15. Daniel L. Thornton, 2018. "Greenspan's Conundrum and the Fed's Ability to Affect Long‐Term Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 513-543, March.
    16. Modena, Matteo, 2008. "Yield curve, time varying term premia, and business cycle fluctuations," MPRA Paper 8873, University Library of Munich, Germany.
    17. Olaf Posch, 2018. "Resurrecting the New-Keynesian Model: (Un)conventional Policy and the Taylor Rule," CESifo Working Paper Series 6925, CESifo.
    18. Jesus Sierra, 2014. "International Capital Flows and Bond Risk Premia," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-36.
    19. Taboga, Marco, 2008. "Macro-finance VARs and bond risk premia: a caveat," MPRA Paper 11585, University Library of Munich, Germany.
    20. Refet S. Gürkaynak & Brian P. Sack & Jonathan H. Wright, 2008. "The TIPS yield curve and inflation compensation," Finance and Economics Discussion Series 2008-05, Board of Governors of the Federal Reserve System (U.S.).
    21. Mariano Kulish & Daniel Rees, 2008. "Monetary Transmission and the Yield Curve in a Small Open Economy," RBA Research Discussion Papers rdp2008-03, Reserve Bank of Australia.
    22. De Graeve, Ferre & Emiris, Marina & Wouters, Raf, 2009. "A structural decomposition of the US yield curve," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 545-559, May.
    23. Joseph E. Gagnon & Matthew Raskin & Julie Remache & Brian P. Sack, 2010. "Large-scale asset purchases by the Federal Reserve: did they work?," Staff Reports 441, Federal Reserve Bank of New York.
    24. Cathy Yi-Hsuan Chen & Thomas C. Chiang, 2017. "Surprises, sentiments, and the expectations hypothesis of the term structure of interest rates," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 1-28, July.
    25. Gregory Bauer & Antonio Diez de los Rios, 2012. "An International Dynamic Term Structure Model with Economic Restrictions and Unspanned Risks," Staff Working Papers 12-5, Bank of Canada.
    26. Luis Ceballos & Alberto Naudon & Damián Romero, 2015. "Nominal Term Structure and Term Premia: Evidence from Chile," Working Papers Central Bank of Chile 752, Central Bank of Chile.
    27. Samuel G Hanson & David O Lucca & Jonathan H Wright, 2021. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1719-1781.
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    125. Guihai Zhao, 2020. "Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields," Staff Working Papers 20-14, Bank of Canada.
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    127. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
    128. Reifschneider, David & Tulip, Peter, 2019. "Gauging the uncertainty of the economic outlook using historical forecasting errors: The Federal Reserve’s approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1564-1582.
    129. Michael P. Clements, 2015. "Are Professional Macroeconomic Forecasters Able To Do Better Than Forecasting Trends?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 349-382, March.
    130. Clements, Michael P., 2016. "Real-time factor model forecasting and the effects of instability," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 661-675.
    131. Gamber, Edward N. & Liebner, Jeffrey P. & Smith, Julie K., 2015. "The distribution of inflation forecast errors," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 47-64.
    132. Patrick Higgins & Julie L Hotchkiss & Ellyn Terry, 2019. "Evolution of Behavior, Uncertainty, and the Difficulty of Predicting Labor Force Participation," Business and Economic Research, Macrothink Institute, vol. 9(4), pages 157-178, December.
    133. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    134. Duc Do, Nguyen, 2024. "Money/asset ratio as a predictor of inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 97(C).
    135. Bhatt, Vipul & Kishor, Kundan & Marfatia, Hardik, 2017. "Estimating excess sensitivity and habit persistence in consumption using Greenbook forecast as an instrument," MPRA Paper 79748, University Library of Munich, Germany.
    136. Wieland, Volker & Wolters, Maik H., 2010. "The diversity of forecasts from macroeconomic models of the U.S. economy," CFS Working Paper Series 2010/08, Center for Financial Studies (CFS).
    137. Marta Banbura & Andries van Vlodrop, 2018. "Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean," Tinbergen Institute Discussion Papers 18-025/IV, Tinbergen Institute.
    138. Tom Stark, 2010. "Realistic evaluation of real-time forecasts in the Survey of Professional Forecasters," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue May.
    139. Philip Hans Franses, 2024. "Incorporating judgment in forecasting models in times of crisis," Futures & Foresight Science, John Wiley & Sons, vol. 6(4), December.
    140. Marc-André Gosselin & Temel Taskin, 2023. "What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?," Discussion Papers 2023-13, Bank of Canada.
    141. Tae-Hwy Lee & Yiyao Wang, 2015. "Finding SPF Percentiles Closest to Greenbook," Working Papers 201503, University of California at Riverside, Department of Economics.
    142. David L. Reifschneider & Peter Tulip, 2017. "Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors : The Federal Reserve's Approach," Finance and Economics Discussion Series 2017-020, Board of Governors of the Federal Reserve System (U.S.).
    143. P. A. Nazarov & Kazakova, Maria, 2014. "Methodological Principles of Prediction of Tax Revenues of Budgetary System," Published Papers r90219, Russian Presidential Academy of National Economy and Public Administration.
    144. Lillian R. Gaeto & Sandeep Mazumder, 2019. "Measuring the Accuracy of Federal Reserve Forecasts," Southern Economic Journal, John Wiley & Sons, vol. 85(3), pages 960-984, January.
    145. Andrew C. Chang, 2018. "The Fed's Asymmetric Forecast Errors," Finance and Economics Discussion Series 2018-026, Board of Governors of the Federal Reserve System (U.S.).
    146. Lunsford, Kurt G., 2015. "Forecasting residential investment in the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 276-285.
    147. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting GDP using machine learning algorithms: A real-time assessment," Reserve Bank of New Zealand Discussion Paper Series DP2019/03, Reserve Bank of New Zealand.
    148. Silvia Goncalves & Michael W. McCracken & Yongxu Yao, 2023. "Bootstrapping out-of-sample predictability tests with real-time data," Working Papers 2023-029, Federal Reserve Bank of St. Louis, revised 03 Sep 2024.
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    150. Ricardo Nunes, 2013. "Do central banks’ forecasts take into account public opinion and views?," International Finance Discussion Papers 1080, Board of Governors of the Federal Reserve System (U.S.).
    151. Jon D. Samuels & Rodrigo Sekkel, 2013. "Forecasting with Many Models: Model Confidence Sets and Forecast Combination," Staff Working Papers 13-11, Bank of Canada.
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    153. Monica Jain, 2018. "Sluggish Forecasts," Staff Working Papers 18-39, Bank of Canada.
    154. Tyler Pike & Horacio Sapriza & Tom Zimmermann, 2019. "Bottom-up Leading Macroeconomic Indicators: An Application to Non-Financial Corporate Defaults using Machine Learning," Finance and Economics Discussion Series 2019-070, Board of Governors of the Federal Reserve System (U.S.).
    155. Rochelle M. Edge & Refet S. Gürkaynak, 2011. "How useful are estimated DSGE model forecasts?," Finance and Economics Discussion Series 2011-11, Board of Governors of the Federal Reserve System (U.S.).
    156. Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
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    158. Mr. Emil Stavrev & Mr. Helge Berger, 2008. "The Information Content of Money in Forecasting Euro Area Inflation," IMF Working Papers 2008/166, International Monetary Fund.
    159. Boussios, David & Skorbiansky, Sharon Raszap & Maclachlan, Matthew, 2021. "Evaluating U.S. Department of Agriculture’s Long-Term Forecasts for U.S. Harvested Area," USDA Miscellaneous 309616, United States Department of Agriculture.
    160. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
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    162. Vipul Bhatt & N. Kundan Kishor & Hardik Marfatia, 2020. "Estimating Excess Sensitivity and Habit Persistence in Consumption Using Greenbook Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 257-284, April.
    163. Peter Tulip, 2009. "Has the Economy Become More Predictable? Changes in Greenbook Forecast Accuracy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1217-1231, September.
    164. Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.

  31. Jonathan H. Wright & Hao Zhou, 2007. "Bond risk premia and realized jump volatility," Finance and Economics Discussion Series 2007-22, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Fulvio Corsi & Davide Pirino & Roberto Renò, 2010. "Threshold bipower variation and the impact of jumps on volatility forecasting," Post-Print hal-00741630, HAL.
    2. Todorov, Viktor & Bollerslev, Tim, 2010. "Jumps and betas: A new framework for disentangling and estimating systematic risks," Journal of Econometrics, Elsevier, vol. 157(2), pages 220-235, August.

  32. Eric Ghysels & Jonathan H. Wright, 2006. "Forecasting professional forecasters," Finance and Economics Discussion Series 2006-10, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Stylianos Asimakopoulos & Joan Paredes & Thomas Warmedinger, 2020. "Real‐Time Fiscal Forecasting Using Mixed‐Frequency Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(1), pages 369-390, January.
    2. Constantin Bürgi, 2023. "How to Deal With Missing Observations in Surveys of Professional Forecasters," CESifo Working Paper Series 10203, CESifo.
    3. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    4. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
    5. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2018. "Using low frequency information for predicting high frequency variables," International Journal of Forecasting, Elsevier, vol. 34(4), pages 774-787.
    6. Yimin Yang & Fei Jia & Haoran Li, 2023. "Estimation of Panel Data Models with Mixed Sampling Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 514-544, June.
    7. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    8. Özer Karagedikli & Murat Özbilgin, 2019. "Mixed in New Zealand: Nowcasting Labour Markets with MIDAS," Reserve Bank of New Zealand Analytical Notes series AN2019/04, Reserve Bank of New Zealand.
    9. Lixiong Yang, 2022. "Threshold mixed data sampling (TMIDAS) regression models with an application to GDP forecast errors," Empirical Economics, Springer, vol. 62(2), pages 533-551, February.
    10. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    11. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals: Google Trends Meets Mixed Frequency Data," MPRA Paper 90205, University Library of Munich, Germany.
    12. Juneja, Januj A., 2016. "Financial crises and estimation bias in international bond markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 593-607.
    13. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla & Masih, A. Mansur M., 2014. "Combining Momentum, Value, and Quality for the Islamic Equity Portfolio: Multi-style Rotation Strategies using Augmented Black Litterman Factor Model," MPRA Paper 56965, University Library of Munich, Germany.
    14. Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2015. "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," International Journal of Forecasting, Elsevier, vol. 31(2), pages 238-252.
    15. MAMATZAKIS, emmanuel & MAMATZAKIS, E, 2022. "Understanding the impact of travel on wellbeing: evidence for Great Britain during the pandemic," MPRA Paper 121782, University Library of Munich, Germany.
    16. Michael P. Clements & Ana Beatriz Galvão, 2014. "Measuring Macroeconomic Uncertainty: US Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-04, Henley Business School, University of Reading.
    17. Charles Engel & John H. Rogers, 2008. "Expected consumption growth from cross-country surveys: implications for assessing international capital markets," International Finance Discussion Papers 949, Board of Governors of the Federal Reserve System (U.S.).
    18. Alex Ilek, 2020. "Are monetary surprises effective? The view of professional forecasters in Israel," Bank of Israel Working Papers 2020.09, Bank of Israel.
    19. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    20. Mokinski, Frieder, 2016. "Using time-stamped survey responses to measure expectations at a daily frequency," International Journal of Forecasting, Elsevier, vol. 32(2), pages 271-282.
    21. Warmedinger, Thomas & Paredes, Joan & Asimakopoulos, Stylianos, 2013. "Forecasting fiscal time series using mixed frequency data," Working Paper Series 1550, European Central Bank.
    22. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    23. Andrade, P. & Fourel, V. & Ghysels, E. & Idier, I., 2013. "The financial content of inflation risks in the euro area," Working papers 437, Banque de France.
    24. Chava, Sudheer & Gallmeyer, Michael & Park, Heungju, 2015. "Credit conditions and stock return predictability," Journal of Monetary Economics, Elsevier, vol. 74(C), pages 117-132.
    25. Qian Chen & Xiang Gao & Shan Xie & Li Sun & Shuairu Tian & Shigeyuki Hamori, 2021. "On the Predictability of China Macro Indicator with Carbon Emissions Trading," Energies, MDPI, vol. 14(5), pages 1-24, February.
    26. Bahar Şen Doğan & Murat Midiliç, 2019. "Forecasting Turkish real GDP growth in a data-rich environment," Empirical Economics, Springer, vol. 56(1), pages 367-395, January.
    27. Talha Omer & Kristofer Månsson & Pär Sjölander & B. M. Golam Kibria, 2024. "Improved Breitung and Roling estimator for mixed-frequency models with application to forecasting inflation rates," Statistical Papers, Springer, vol. 65(5), pages 3303-3325, July.
    28. Valadkhani, Abbas & Smyth, Russell, 2017. "How do daily changes in oil prices affect US monthly industrial output?," Energy Economics, Elsevier, vol. 67(C), pages 83-90.
    29. Zhang, Yue-Jun & Wang, Jin-Li, 2019. "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, vol. 78(C), pages 192-201.
    30. Clements, Michael P & Galvão, Ana Beatriz, 2006. "Macroeconomic Forecasting with Mixed Frequency Data : Forecasting US output growth and inflation," The Warwick Economics Research Paper Series (TWERPS) 773, University of Warwick, Department of Economics.
    31. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    32. Nibbering, Didier & Paap, Richard & van der Wel, Michel, 2018. "What do professional forecasters actually predict?," International Journal of Forecasting, Elsevier, vol. 34(2), pages 288-311.
    33. Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in real-time: A density combination approach," Working Paper 2011/11, Norges Bank.
    34. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    35. J. Isaac Miller, 2012. "Mixed-frequency Cointegrating Regressions with Parsimonious Distributed Lag Structures," Working Papers 1211, Department of Economics, University of Missouri.
    36. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    37. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    38. Clements, Michael P. & Galvão, Ana Beatriz, 2017. "Model and survey estimates of the term structure of US macroeconomic uncertainty," International Journal of Forecasting, Elsevier, vol. 33(3), pages 591-604.
    39. Anderson, Evan W. & Ghysels, Eric & Juergens, Jennifer L., 2009. "The impact of risk and uncertainty on expected returns," Journal of Financial Economics, Elsevier, vol. 94(2), pages 233-263, November.
    40. Cláudia Duarte, 2016. "A Mixed Frequency Approach to Forecast Private Consumption with ATM/POS Data," Working Papers w201601, Banco de Portugal, Economics and Research Department.
    41. Philippe Mueller & Mikhail Chernov, 2008. "The Term Structure of Inflation Expectations," 2008 Meeting Papers 346, Society for Economic Dynamics.
    42. Kertlly de Medeiros, Rennan & da Nóbrega Besarria, Cássio & Pitta de Jesus, Diego & Phillipe de Albuquerquemello, Vinicius, 2022. "Forecasting oil prices: New approaches," Energy, Elsevier, vol. 238(PC).
    43. Allan W. Gregory & Hui Zhu, 2014. "Testing the value of lead information in forecasting monthly changes in employment from the Bureau of Labor Statistics," Applied Financial Economics, Taylor & Francis Journals, vol. 24(7), pages 505-514, April.
    44. Michelle T. Armesto & Kristie M. Engemann & Michael T. Owyang, 2010. "Forecasting with mixed frequencies," Review, Federal Reserve Bank of St. Louis, vol. 92(Nov), pages 521-536.
    45. Zeynalov, Ayaz, 2017. "Forecasting Tourist Arrivals in Prague: Google Econometrics," MPRA Paper 83268, University Library of Munich, Germany.
    46. Ryan T. Ball & Eric Ghysels, 2018. "Automated Earnings Forecasts: Beat Analysts or Combine and Conquer?," Management Science, INFORMS, vol. 64(10), pages 4936-4952, October.
    47. Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.
    48. Michael P. Clements & Ana Beatriz Galvão, 2007. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth," Working Papers 616, Queen Mary University of London, School of Economics and Finance.
    49. Rodriguez, Abel & Puggioni, Gavino, 2010. "Mixed frequency models: Bayesian approaches to estimation and prediction," International Journal of Forecasting, Elsevier, vol. 26(2), pages 293-311, April.
    50. Schumacher, Christian & Marcellino, Massimiliano & Kuzin, Vladimir, 2009. "MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the Euro Area," CEPR Discussion Papers 7445, C.E.P.R. Discussion Papers.
    51. Donato Ceci & Orest Prifti & Andrea Silvestrini, 2024. "Nowcasting Italian GDP growth: a Factor MIDAS approach," Temi di discussione (Economic working papers) 1446, Bank of Italy, Economic Research and International Relations Area.
    52. Anindya Biswas, 2015. "The output gap and inflation in U.S. data: an empirical note," Economics Bulletin, AccessEcon, vol. 35(2), pages 841-845.
    53. Geoff Kenny & Thomas Kostka & Federico Masera, 2011. "How Informative are the Subjective Density Forecasts of Macroeconomists?," CESifo Working Paper Series 3671, CESifo.
    54. Jiang, Yu & Guo, Yongji & Zhang, Yihao, 2017. "Forecasting China's GDP growth using dynamic factors and mixed-frequency data," Economic Modelling, Elsevier, vol. 66(C), pages 132-138.
    55. Qiu, Yue, 2020. "Forecasting the Consumer Confidence Index with tree-based MIDAS regressions," Economic Modelling, Elsevier, vol. 91(C), pages 247-256.
    56. Emmanuel Mamatzakis & Mike G. Tsionas & Steven Ongena, 2023. "Why do households repay their debt in UK during the COVID-19 crisis?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(8), pages 1789-1823, April.
    57. Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
    58. Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
    59. Pitschner, Stefan, 2013. "Using Financial Markets To Estimate the Macro Effects of Monetary Policy:," Working Paper Series 267, Sveriges Riksbank (Central Bank of Sweden).
    60. Anindya Biswas, 2014. "The output gap and expected security returns," Review of Financial Economics, John Wiley & Sons, vol. 23(3), pages 131-140, September.
    61. Biswas, Anindya, 2014. "The output gap and expected security returns," Review of Financial Economics, Elsevier, vol. 23(3), pages 131-140.
    62. Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
    63. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil prices," MPRA Paper 77531, University Library of Munich, Germany.
    64. Elena Andreou, Eric Ghysels & Eric Ghysels & Andros Kourtellos, 2007. "Regression Models with Mixed Sampling Frequencies," University of Cyprus Working Papers in Economics 8-2007, University of Cyprus Department of Economics.
    65. Elena Andreou & Andros Kourtellos, 2015. "The State and the Future of Cyprus Macroeconomic Forecasting," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 9(1), pages 73-90, June.
    66. Yu, Honghai & Fang, Libing & Du, Donglei & Yan, Panpan, 2017. "How EPU drives long-term industry beta," Finance Research Letters, Elsevier, vol. 22(C), pages 249-258.
    67. Kanas, Angelos & Molyneux, Philip, 2020. "Do measures of systemic risk predict U.S. corporate bond default rates?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    68. Pan, Zhiyuan & Wang, Qing & Wang, Yudong & Yang, Li, 2018. "Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model," Energy Economics, Elsevier, vol. 72(C), pages 177-187.
    69. Sorin Daniliuc & Chris Bilson & Greg Shailer, 2014. "The Interaction of Post-Acquisition Integration and Acquisition Focus in Relation to Long-Run Performance," International Review of Finance, International Review of Finance Ltd., vol. 14(4), pages 587-612, December.
    70. Boumans, Dorine & Garnitz, Johanna, 2017. "Ifo World Economic Survey Database - An International Economic Expert Survey," Munich Reprints in Economics 55041, University of Munich, Department of Economics.
    71. Ghysels, Eric, 2016. "Macroeconomics and the reality of mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 294-314.
    72. Degiannakis, Stavros & Filis, George, 2018. "Forecasting oil prices: High-frequency financial data are indeed useful," Energy Economics, Elsevier, vol. 76(C), pages 388-402.
    73. Monica Jain, 2018. "Sluggish Forecasts," Staff Working Papers 18-39, Bank of Canada.
    74. Hanoma, Ahmed & Nautz, Dieter, 2018. "The information content of inflation swap rates for the long-term inflation expectations of professionals: Evidence from a MIDAS analysis," Discussion Papers 2018/16, Free University Berlin, School of Business & Economics.
    75. Rong Fu & Luze Xie & Tao Liu & Juan Huang & Binbin Zheng, 2022. "Chinese Economic Growth Projections Based on Mixed Data of Carbon Emissions under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    76. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    77. P. Schanbacher, 2014. "Measuring and adjusting for overconfidence," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 423-452, October.
    78. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    79. Selma Toker & Nimet Özbay & Kristofer Månsson, 2022. "Mixed data sampling regression: Parameter selection of smoothed least squares estimator," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 718-751, July.

  33. David W. Berger & Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Jonathan H. Wright, 2006. "Order Flow and Exchange Rate Dynamics in Electronic Brokerage System Data," International Finance Discussion Papers 830, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

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    33. Kozak, Serhiy & Santosh, Shrihari, 2020. "Why do discount rates vary?," Journal of Financial Economics, Elsevier, vol. 137(3), pages 740-751.
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    35. Goliński, Adam, 2021. "Monetary policy at the zero lower bound: Information in the Federal Reserve’s balance sheet," European Economic Review, Elsevier, vol. 131(C).
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    37. Lloyd, Simon & Ostry, Daniel, 2024. "The asymmetric effects of quantitative tightening and easing on financial markets," Economics Letters, Elsevier, vol. 238(C).
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    39. Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
    40. Karahan, Cenk C. & Soykök, Emre, 2023. "On illiquidity of an emerging sovereign bond market," Economic Systems, Elsevier, vol. 47(2).
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    44. Pflueger, Carolin & Rinaldi, Gianluca, 2022. "Why does the Fed move markets so much? A model of monetary policy and time-varying risk aversion," Journal of Financial Economics, Elsevier, vol. 146(1), pages 71-89.
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    1. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    2. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    3. António R. Antunes & Diana Bonfim & Nuno Monteiro & Paulo M.M. Rodrigues, 2016. "Forecasting banking crises with dynamic panel probit models," Working Papers w201613, Banco de Portugal, Economics and Research Department.
    4. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
    5. Pablo Aguilar & Corinna Ghirelli & Matías Pacce & Alberto Urtasun, 2020. "Can news help measure economic sentiment? An application in COVID-19 times," Working Papers 2027, Banco de España.
    6. Weiling Liu & Emanuel Moench, 2014. "What predicts U.S. recessions?," Staff Reports 691, Federal Reserve Bank of New York.
    7. Michael W. McCracken & Joseph McGillicuddy & Michael T. Owyang, 2019. "Binary Conditional Forecasts," Working Papers 2019-029, Federal Reserve Bank of St. Louis, revised Apr 2021.
    8. Rebecca Stuart, 2020. "Monetary regimes, the term structure and business cycles in Ireland, 1972–2018," Manchester School, University of Manchester, vol. 88(5), pages 731-748, September.
    9. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2012. "The yield curve and the macro-economy across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1950-1970.
    10. Christiansen, Charlotte, 2013. "Predicting severe simultaneous recessions using yield spreads as leading indicators," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1032-1043.
    11. Valerio Ercolani & Filippo Natoli, 2020. "Forecasting US recessions: the role of economic uncertainty," Temi di discussione (Economic working papers) 1299, Bank of Italy, Economic Research and International Relations Area.
    12. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    13. Travis J. Berge, 2015. "Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(6), pages 455-471, September.
    14. Mateus A. Feitosa & Benjamin M. Tabak, 2007. "Predictability Of Economic Activity Using Yield Spreads: The Case Of Brazil," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 029, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Rachidi Kotchoni & Dalibor Stevanovic, 2020. "GDP Forecast Accuracy During Recessions," Working Papers 20-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    16. Modena, Matteo, 2008. "Yield curve, time varying term premia, and business cycle fluctuations," MPRA Paper 8873, University Library of Munich, Germany.
    17. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    18. Schrimpf, Andreas & Wang, Qingwei, 2010. "A reappraisal of the leading indicator properties of the yield curve under structural instability," International Journal of Forecasting, Elsevier, vol. 26(4), pages 836-857, October.
    19. Sebastian Fossati, 2015. "Forecasting US recessions with macro factors," Applied Economics, Taylor & Francis Journals, vol. 47(53), pages 5726-5738, November.
    20. Glenn D. Rudebusch & Brian P. Sack & Eric T. Swanson, 2007. "Macroeconomic implications of changes in the term premium," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 241-270.
    21. Azhar Iqbal & John Silvia, 2016. "Is Predicting Recessions Enough?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 248-259, October.
    22. Mathias Moersch & Armin Pohl, 2011. "Predicting recessions with the term spread - recent evidence from seven countries," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1285-1288.
    23. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
    24. Thomas B. King & Andrew T. Levin & Roberto Perli, 2007. "Financial market perceptions of recession risk," Finance and Economics Discussion Series 2007-57, Board of Governors of the Federal Reserve System (U.S.).
    25. Ireland, Peter N., 2015. "Monetary policy, bond risk premia, and the economy," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 124-140.
    26. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
    27. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    28. Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    29. Michael Bleaney & Paul Mizen & Veronica Veleanu, 2012. "Bond Spreads as Predictors of Economic Activity in Eight European Economies," Discussion Papers 12/11, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    30. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    31. Boukhatem, Jamel & Sekouhi, Hayfa, 2017. "What does the bond yield curve tell us about Tunisian economic activity?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 295-303.
    32. Nyberg, Henri, 2010. "QR-GARCH-M Model for Risk-Return Tradeoff in U.S. Stock Returns and Business Cycles," MPRA Paper 23724, University Library of Munich, Germany.
    33. Mohamed Ben Alaya & Ahmed Kebaier & Djibril Sarr, 2024. "Credit Spreads' Term Structure: Stochastic Modeling with CIR++ Intensity," Papers 2409.09179, arXiv.org.
    34. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2023. "Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach," Journal of International Economics, Elsevier, vol. 145(C).
    35. Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
    36. Rebecca Stuart, 2020. "The term structure, leading indicators, and recessions: evidence from Switzerland, 1974–2017," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-17, December.
    37. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    38. Michael D. Bordo & Joseph G. Haubrich, 2006. "Forecasting with the yield curve; level, slope, and output 1875-1997," Working Papers (Old Series) 0611, Federal Reserve Bank of Cleveland.
    39. Vladimir Yankov & Egon Zakrajsek & Simon Gilchrist, 2009. "Credit Market Shocks and Economic Fluctuations: Evidence from Corporate Bond and Stock Markets," 2009 Meeting Papers 514, Society for Economic Dynamics.
    40. Rudebusch, Glenn D. & Williams, John C., 2009. "Forecasting Recessions: The Puzzle of the Enduring Power of the Yield Curve," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 492-503.
    41. Gross, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
    42. Gerlach, Stefan & Stuart, Rebecca, 2018. "The Slope of the Term Structure and Recessions: The Pre-Fed Evidence, 1857-1913," CEPR Discussion Papers 13013, C.E.P.R. Discussion Papers.
    43. Sun, Xiaojin & Tsang, Kwok Ping, 2023. "Yield curve and the macroeconomy: Evidence from a DSGE model with housing," Journal of Macroeconomics, Elsevier, vol. 75(C).
    44. James D. Hamilton, 2010. "Calling Recessions in Real Time," NBER Working Papers 16162, National Bureau of Economic Research, Inc.
    45. Pönkä, Harri & Zheng, Yi, 2019. "The role of oil prices on the Russian business cycle," Research in International Business and Finance, Elsevier, vol. 50(C), pages 70-78.
    46. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    47. Charlotte Christiansen & Jonas Nygaard Eriksen & Stig V. Møller, 2013. "Forecasting US Recessions: The Role of Sentiments," CREATES Research Papers 2013-14, Department of Economics and Business Economics, Aarhus University.
    48. Daniel Detzer & Christian R. Proaño & Katja Rietzler & Sven Schreiber & Thomas Theobald & Sabine Stephan, 2012. "Verfahren der konjunkturellen Wendepunktbestimmung unter Berücksichtigung der Echtzeit-Problematik," IMK Studies 27-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    49. Proaño, Christian R. & Theobald, Thomas, 2014. "Predicting recessions with a composite real-time dynamic probit model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 898-917.
    50. Apergis, Nicholas & Artikis, Panagiotis G. & Kyriazis, Dimitrios, 2015. "Does stock market liquidity explain real economic activity? New evidence from two large European stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 42-64.
    51. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    52. Peláez, Rolando F., 2015. "Market-timing the business cycle," Review of Financial Economics, Elsevier, vol. 26(C), pages 55-64.
    53. Boulis Ibrahim & Janusz Brzeszczynski, 2013. "Interdependence of Stock Markets Before and After the Global Financial Crisis of 2007," CFI Discussion Papers 1305, Centre for Finance and Investment, Heriot Watt University.
    54. Chauvet, Marcelle & Senyuz, Zeynep, 2016. "A dynamic factor model of the yield curve components as a predictor of the economy," International Journal of Forecasting, Elsevier, vol. 32(2), pages 324-343.
    55. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    56. Dahlquist, Magnus & Hasseltoft, Henrik, 2013. "International Bond Risk Premia," Journal of International Economics, Elsevier, vol. 90(1), pages 17-32.
    57. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

  37. Don H. Kim & Jonathan H. Wright, 2005. "An arbitrage-free three-factor term structure model and the recent behavior of long-term yields and distant-horizon forward rates," Finance and Economics Discussion Series 2005-33, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Fuerst, Timothy S., 2015. "Monetary policy and the term premium," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 1-10.
    2. Taboga, Marco, 2007. "Structural change and the bond yield conundrum," MPRA Paper 4965, University Library of Munich, Germany.
    3. Pietro Catte & Pietro Cova & Patrizio Pagano & Ignazio Visco, 2010. "The role of macroeconomic policies in the global crisis," Questioni di Economia e Finanza (Occasional Papers) 69, Bank of Italy, Economic Research and International Relations Area.
    4. Schulz, Alexander & Wolff, Guntram B., 2009. "Sovereign bond market integration: the euro, trading platforms and financial crises," MPRA Paper 16900, University Library of Munich, Germany.
    5. Sarah Mouabbi & Jean-Paul Renne & Jean-Guillaume Sahuc, 2021. "Debt-Stabilizing Properties of GDP-Linked Securities: A Macro-Finance Perspective," Working papers 844, Banque de France.
    6. Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2016. "The term structure of expectations and bond yields," Staff Reports 775, Federal Reserve Bank of New York.
    7. Meredith J. Beechey, 2006. "A closer look at the sensitivity puzzle: the sensitivity of expected future short rates and term premia to macroeconomic news," Finance and Economics Discussion Series 2007-06, Board of Governors of the Federal Reserve System (U.S.).
    8. Drew D. Creal & Jing Cynthia Wu, 2014. "Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility," NBER Working Papers 20115, National Bureau of Economic Research, Inc.
    9. Tobias Adrian & Emanuel Moench, 2008. "Pricing the term structure with linear regressions," Staff Reports 340, Federal Reserve Bank of New York.
    10. Ethan Struby & Michael F. Connolly, 2022. "Shadow Rate Models and Monetary Policy," Working Papers 2022-03, Carleton College, Department of Economics.
    11. Gil-Alana, Luis A. & Moreno, Antonio, 2012. "Uncovering the US term premium: An alternative route," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1181-1193.
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  38. Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Raj S. Krishnasami Iyer & David Liu & Jonathan H. Wright, 2004. "The high-frequency effects of U.S. macroeconomic data releases on prices and trading activity in the global interdealer foreign exchange market," International Finance Discussion Papers 823, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Kentaro Iwatsubo & Yoshihiro Kitamura, 2008. "Intraday Evidence of the Informational Efficiency of the Yen/Dollar Exchange Rate," Discussion Papers 0801, Graduate School of Economics, Kobe University.
    2. Takatoshi Ito & Yuko Hashimoto, 2006. "Intra-Day Seasonality in Activities of the Foreign Exchange Markets: Evidence From the Electronic Broking System," NBER Working Papers 12413, National Bureau of Economic Research, Inc.
    3. Chaboud, Alain P. & Chiquoine, Benjamin & Hjalmarsson, Erik & Loretan, Mico, 2010. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 212-240, March.
    4. Andreas M. Fischer & Angelo Ranaldo, 2008. "Does FOMC News Increase Global FX Trading?," Working Papers 2008-09, Swiss National Bank.
    5. Michael Frömmel & Norbert Kiss M. & Klára Pintér, 2011. "Macroeconomic announcements, communication and order flow on the Hungarian foreign exchange market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 172-188, April.
    6. Savaser, Tanseli, 2011. "Exchange rate response to macronews: Through the lens of microstructure," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 107-126, February.
    7. Hashimoto, Yuko & Ito, Takatoshi, 2010. "Effects of Japanese macroeconomic statistic announcements on the dollar/yen exchange rate: High-resolution picture," Journal of the Japanese and International Economies, Elsevier, vol. 24(3), pages 334-354, September.
    8. Evžen Kocenda & Michala Moravcová, 2018. "Intraday Effect of News on Emerging European Forex Markets: An Event Study Analysis," CESifo Working Paper Series 7239, CESifo.
    9. Rasmus Fatum & Barry Scholnick, "undated". "Monetary Policy News and Exchange Rate Responses: Do Only Surprises Matter?," EPRU Working Paper Series 05-14, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics, revised Nov 2005.
    10. Mahmoodzadeh, Soheil & Gençay, Ramazan, 2017. "Human vs. high-frequency traders, penny jumping, and tick size," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 69-82.
    11. Kathryn M. E. Dominguez & Freyan Panthaki, 2007. "The Influence of Actual and Unrequited Interventions," Working Papers 561, Research Seminar in International Economics, University of Michigan.
    12. Berger, David W. & Chaboud, Alain P. & Chernenko, Sergey V. & Howorka, Edward & Wright, Jonathan H., 2008. "Order flow and exchange rate dynamics in electronic brokerage system data," Journal of International Economics, Elsevier, vol. 75(1), pages 93-109, May.
    13. David W. Berger & Alain P. Chaboud & Erik Hjalmarsson & Edward Howorka, 2006. "What drives volatility persistence in the foreign exchange market?," International Finance Discussion Papers 862, Board of Governors of the Federal Reserve System (U.S.).
    14. Ito, Takatoshi & Yamada, Masahiro, 2018. "Did the reform fix the London fix problem?," Journal of International Money and Finance, Elsevier, vol. 80(C), pages 75-95.
    15. Takatoshi Ito & Yuko Hashimoto, 2006. "Price Impacts of Deals and Predictability of the Exchange Rate Movements," NBER Working Papers 12682, National Bureau of Economic Research, Inc.
    16. Mardi Dungey & Charles Goodhart & Demosthenes Tambakis, 2008. "The US treasury market in August 1998: untangling the effects of Hong Kong and Russia with high-frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 40-52.
    17. Balazs Egert, 2009. "The Impact of Monetary and Commodity Fundamentals, Macro News and Central Bank Communication on the Exchange Rate: Evidence from South Africa," William Davidson Institute Working Papers Series wp955, William Davidson Institute at the University of Michigan.
    18. Kathryn Dominguez & Freyan Panthaki, 2005. "What Defines "News" in Foreign Exchange Markets?," NBER Working Papers 11769, National Bureau of Economic Research, Inc.
    19. Janusz Brzeszczynski & Michael Melvin, 2006. "Explaining trading volume in the euro," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 25-34.
    20. Fang Cai & Edward Howorka & Jon Wongswan, 2006. "Transmission of volatility and trading activity in the global interdealer foreign exchange market: evidence from electronic broking services (EBS) data," International Finance Discussion Papers 863, Board of Governors of the Federal Reserve System (U.S.).
    21. Ito, Takatoshi & Yamada, Masahiro, 2017. "Puzzles in the Tokyo fixing in the forex market: Order imbalances and Bank pricing," Journal of International Economics, Elsevier, vol. 109(C), pages 214-234.
    22. Enzo Rossi & Vincent Wolff, 2020. "Spillovers to exchange rates from monetary and macroeconomic communications events," Working Papers 2020-18, Swiss National Bank.
    23. Santos, Francisco Luna & Garcia, Márcio Gomes Pinto & Medeiros, Marcelo Cunha, 2016. "The High Frequency Impact of Macroeconomic Announcements in the Brazilian Futures Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.

  39. Jonathan H. Wright, 2003. "Bayesian Model Averaging and exchange rate forecasts," International Finance Discussion Papers 779, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Jäckel, Christoph, 2013. "Model uncertainty and expected return proxies," MPRA Paper 51978, University Library of Munich, Germany.
    2. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    3. Goodness C. Aye & Rangan Gupta & Shawkat Hammoudeh & Won Joong Kim, 2014. "Forecasting the Price of Gold Using Dynamic Model Averaging," Working Papers 201415, University of Pretoria, Department of Economics.
    4. James Rockey & Jonathan Temple, 2015. "Growth Econometrics for Agnostics and True Believers," Bristol Economics Discussion Papers 15/656, School of Economics, University of Bristol, UK.
    5. Ghysels, Eric & Ozkan, Nazire, 2015. "Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1009-1020.
    6. Rossi, Barbara, 2013. "Exchange Rate Predictability," CEPR Discussion Papers 9575, C.E.P.R. Discussion Papers.
    7. Luis Fernando Melo & Rubén Albeiro Loaiza Maya, 2012. "Bayesian Forecast Combination for Inflation Using Rolling Windows: An Emerging Country Case," Borradores de Economia 9511, Banco de la Republica.
    8. Kilian, Lutz & Inoue, Atsushi, 2005. "How Useful is Bagging in Forecasting Economic Time Series? A Case Study of US CPI Inflation," CEPR Discussion Papers 5304, C.E.P.R. Discussion Papers.
    9. Raheem, Ibrahim, 2020. "Global financial cycles and exchange rate forecast: A factor analysis," MPRA Paper 105358, University Library of Munich, Germany.
    10. Behnamian, Mehdi & Shojaee, Abdul Nasser & Haji, Gholamali, 2021. "Investigating the Effective Factors in the Growth of Private Sector Investment in Iran," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 7(4), pages 84-57, February.
    11. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    12. Wu, Jyh-Lin & Wang, Yi-Chiuan, 2013. "Fundamentals, forecast combinations and nominal exchange-rate predictability," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 129-145.
    13. Hauzenberger, Niko & Huber, Florian, 2018. "Model instability in predictive exchange rate regressions," Department of Economics Working Paper Series 276, WU Vienna University of Economics and Business.
    14. Iftekhar Hasan & Roman Horvath & Jan Mares, 2018. "Finance and Wealth Inequality," Working Papers IES 2018/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
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    1. Stefan Mittnik & Nikolay Robinzonov & Klaus Wohlrabe, 2013. "The Micro Dynamics of Macro Announcements," CESifo Working Paper Series 4421, CESifo.
    2. Rasmus Fatum & Michael M. Hutchison & Thomas Wu, 2010. "Asymmetries and state dependence: the impact of macro surprises on intraday exchange rates," Globalization Institute Working Papers 49, Federal Reserve Bank of Dallas.
    3. Jeanne, Olivier & Son, Jeongwon, 2024. "To what extent are tariffs offset by exchange rates?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    4. Mehmet Ivrendi & Douglas K. Pearce, 2014. "Asset prices and expected monetary policy: evidence from daily data," Applied Economics, Taylor & Francis Journals, vol. 46(9), pages 985-995, March.
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    27. Raffaella Giacomini & Barbara Rossi, 2015. "Forecasting in Nonstationary Environments: What Works and What Doesn’t in Reduced-Form and Structural Models," Working Papers 819, Barcelona School of Economics.
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    37. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2012. "Forecasting Inflation Using Constant Gain Least Squares," Working Papers 126, National Institute of Economic Research.
    38. Samuels, Jon D. & Sekkel, Rodrigo M., 2017. "Model Confidence Sets and forecast combination," International Journal of Forecasting, Elsevier, vol. 33(1), pages 48-60.
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    40. Kim, Hyun Hak & Swanson, Norman R., 2014. "Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence," Journal of Econometrics, Elsevier, vol. 178(P2), pages 352-367.
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    1. Macchiarelli, Corrado, 2011. "A VAR analysis for the uncovered interest parity and the ex-ante purchasing power parity: the role of macroeconomic and financial information," Working Paper Series 1404, European Central Bank.
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    60. Stefanescu, Razvan & Dumitriu, Ramona, 2016. "Particularitǎţi ale evoluţiei variabilelor financiare [Some particularities of the financial variables evolution]," MPRA Paper 73481, University Library of Munich, Germany, revised 02 Sep 2016.
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    65. Li, Jing & Miller, Norman C., 2015. "Foreign exchange market inefficiency and exchange rate anomalies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 311-320.
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    67. Hanno Lustig & Adrien Verdelhan, 2009. "Comment on "Carry Trades and Currency Crashes"," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 361-384, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    2. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.

  44. Jon Faust & Eric T. Swanson & Jonathan H. Wright, 2002. "Identifying vars based on high frequency futures data," International Finance Discussion Papers 720, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Leu, Shawn C.-Y. & Robertson, Mari L., 2021. "Mortgage credit volumes and monetary policy after the Great Recession," Economic Modelling, Elsevier, vol. 94(C), pages 483-500.
    2. Kwamie Dunbar, 2008. "The Impact of the FOMC's Monetary Policy Actions on the growth of Credit Risk: the Monetary Policy - Liquidity Paradox," Working papers 2008-05, University of Connecticut, Department of Economics.
    3. Paulo Maio, 2014. "Another Look at the Stock Return Response to Monetary Policy Actions," Review of Finance, European Finance Association, vol. 18(1), pages 321-371.
    4. Kurt Graden Lunsford, 2018. "Understanding the Aspects of Federal Reserve Forward Guidance," Working Papers (Old Series) 1815, Federal Reserve Bank of Cleveland.
    5. Maxime Phillot & Samuel Reynard, 2021. "Monetary policy financial transmission and treasury liquidity premia," Working Papers 2021-14, Swiss National Bank.
    6. Michael D. Bauer & Eric T. Swanson, 2022. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Chapters, in: NBER Macroeconomics Annual 2022, volume 37, pages 87-155, National Bureau of Economic Research, Inc.
    7. Frederic Boissay & Fabrice Collard & Cristina Manea & Adam Shapiro, 2023. "Monetary tightening, inflation drivers and financial stress," BIS Working Papers 1155, Bank for International Settlements.
    8. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    9. Gurkaynak, Refet S. & Sack, Brian T. & Swanson, Eric P., 2007. "Market-Based Measures of Monetary Policy Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 201-212, April.
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    155. Farka, Mira & DaSilva, Amadeu, 2011. "The fed and the term structure: Addressing simultaneity within a structural VAR model," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 935-952.
    156. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
    157. Sacht, Stephen, 2014. "Optimal monetary policy responses and welfare analysis within the highfrequency New-Keynesian framework," Economics Working Papers 2014-03, Christian-Albrechts-University of Kiel, Department of Economics.
    158. Esteban Argudo, 2021. "Monetary Policy Transmission via Loan Contract Terms in the United States," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
    159. Andrea Monticini & Giacomo Vaciago, 2007. "Are Euro Interest Rates led by FED Announcements?," Money Macro and Finance (MMF) Research Group Conference 2006 16, Money Macro and Finance Research Group.
    160. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-2009 Recession," NBER Working Papers 18094, National Bureau of Economic Research, Inc.

  45. C.S. Forbes & G.M. Martin & J. Wright, 2002. "Bayesian Estimation of a Stochastic Volatility Model Using Option and Spot Prices," Monash Econometrics and Business Statistics Working Papers 2/02, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Nunzio Cappuccio & Diego Lubian & Davide Raggi, 2003. "MCMC Bayesian Estimation of a Skew-GED Stochastic Volatily Model," Working Papers 07/2003, University of Verona, Department of Economics.
    2. Nunzio Cappuccio & Diego Lubian & Davide Raggi, 2006. "Investigating asymmetry in US stock market indexes: evidence from a stochastic volatility model," Applied Financial Economics, Taylor & Francis Journals, vol. 16(6), pages 479-490.
    3. Silvia Centanni, 2011. "Computing option values by pricing kernel with a stochatic volatility model," Working Papers 05/2011, University of Verona, Department of Economics.

  46. Faust, Jon & Rogers, John H. & Swanson, Eric & Wright, Jonathan H., 2002. "Identifying the effects of monetary policy shocks on exchange rates using high frequency data," Working Paper Series 167, European Central Bank.

    Cited by:

    1. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    2. Georgiadis, Georgios, 2015. "Determinants of global spillovers from US monetary policy," Working Paper Series 1854, European Central Bank.
    3. de Groot, Oliver & Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Nikalexi, Katerina, 2020. "Monetary policy and regional inequality," Working Paper Series 2385, European Central Bank.
    4. Michael D. Bauer & Eric T. Swanson, 2022. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Chapters, in: NBER Macroeconomics Annual 2022, volume 37, pages 87-155, National Bureau of Economic Research, Inc.
    5. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," Journal of International Money and Finance, Elsevier, vol. 148(C).
    6. Schrimpf, Paul & Kearns, Jonathan & Ferrari, Massimo, 2017. "Monetary policy's rising FX impact in the era of ultra-low rates," CEPR Discussion Papers 11918, C.E.P.R. Discussion Papers.
    7. H. Henry Cao & Martin D. D. Evans & Richard K. Lyons, 2017. "Inventory Information," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 9, pages 363-413, World Scientific Publishing Co. Pte. Ltd..
    8. Paiardini, Paola, 2014. "The impact of economic news on bond prices: Evidence from the MTS platform," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 302-322.
    9. Christian Bauer & Paul De Grauwe & Stefan Reitz, 2007. "Exchange Rates Dynamics in a Target Zone – A Heterogeneous Expectations Approach," CESifo Working Paper Series 2080, CESifo.
    10. Jongrim Ha & Inhwan So, 2023. "Which Monetary Shocks Matter in Small Open Economies? Evidence from Canada," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 389-472, June.
    11. Karine Gente & Miguel Leon-Ledesma, 2006. "Does the world real interest rate affect the real exchange rate? The South East Asian experience," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 15(4), pages 441-467.
    12. Georgiadis, Georgios, 2017. "To bi, or not to bi? Differences between spillover estimates from bilateral and multilateral multi-country models," Journal of International Economics, Elsevier, vol. 107(C), pages 1-18.
    13. Andreas M. Fischer & Angelo Ranaldo, 2008. "Does FOMC News Increase Global FX Trading?," Working Papers 2008-09, Swiss National Bank.
    14. Julian di Giovanni & John Rogers, 2024. "The Impact of U.S. Monetary Policy on Foreign Firms," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 58-115, March.
    15. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2009. "Fiscal Foresight and Information Flows," NBER Working Papers 14630, National Bureau of Economic Research, Inc.
    16. Sugo, Tomohiro & Ueda, Kozo, 2008. "Estimating a dynamic stochastic general equilibrium model for Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 476-502, December.
    17. Kenneth N. Kuttner & Adam S. Posen, 2007. "Do Markets Care Who Chairs the Central Bank?," Working Paper Series WP07-3, Peterson Institute for International Economics.
    18. Jacques Miniane & John H. Rogers, 2007. "Capital Controls and the International Transmission of U.S. Money Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(5), pages 1003-1035, August.
    19. Joshua Hausman & Jon Wongswan, 2006. "Global asset prices and FOMC announcements," International Finance Discussion Papers 886, Board of Governors of the Federal Reserve System (U.S.).
    20. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," NBER Working Papers 14028, National Bureau of Economic Research, Inc.
    21. Evžen Kocenda & Michala Moravcová, 2018. "Intraday Effect of News on Emerging European Forex Markets: An Event Study Analysis," CESifo Working Paper Series 7239, CESifo.
    22. Georgios Georgiadis, 2015. "To bi, or not to bi? differences in spillover estimates from bilateral and multilateral multi-country models," Globalization Institute Working Papers 256, Federal Reserve Bank of Dallas.
    23. Rasmus Fatum & Barry Scholnick, "undated". "Monetary Policy News and Exchange Rate Responses: Do Only Surprises Matter?," EPRU Working Paper Series 05-14, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics, revised Nov 2005.
    24. Jérôme Coffinet & Sylvain Gouteron, 2010. "Euro‐Area Yield Curve Reaction to Monetary News," German Economic Review, Verein für Socialpolitik, vol. 11(2), pages 208-224, May.
    25. John C. Bluedorn & Christopher Bowdler, 2006. "The Open Economy Consequences of U.S. Monetary Policy," Economics Series Working Papers 265, University of Oxford, Department of Economics.
    26. Eric T. Swanson, 2024. "The Macroeconomic Effects of the Federal Reserve’s Conventional and Unconventional Monetary Policies," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(3), pages 1152-1184, September.
    27. Jongrim Ha & Inhwan So, 2017. "Which Monetary Shocks Matter in Small Open Economies? Evidence from SVARs," Working Papers 2017-2, Economic Research Institute, Bank of Korea.
    28. Bekaert, Geert & Hoerova, Marie & Xu, Nancy R., 2023. "Risk, monetary policy and asset prices in a global world," Working Paper Series 2879, European Central Bank.
    29. Peter Reinhard Hansen & Asger Lunde, 2005. "A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 525-554.
    30. Marcio Garcia & Marcelo Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "The impact of macroeconomic announcements in the Brazilian futures markets," Textos para discussão 623, Department of Economics PUC-Rio (Brazil).
    31. Luis Fernando Melo & Hernán Rincón, 2013. "Choques externos y precios de los activos en Latinoamérica antes y después de la quiebra de Lehman Brothers," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 31(71), pages 1-35, June.
    32. Donghyun Park & Irfan Qureshi & Shu Tian & Mai Lin Villaruel, 2022. "Impact of US monetary policy uncertainty on Asian exchange rates," Economic Change and Restructuring, Springer, vol. 55(1), pages 73-82, February.
    33. Hau, Harald, 2000. "Real Exchange Rate Volatility and Economic Openness: Theory and Evidence," CEPR Discussion Papers 2356, C.E.P.R. Discussion Papers.
    34. Geiger, Michael, 2006. "Monetary Policy in China (1994-2004): Targets, Instruments and their Effectiveness," W.E.P. - Würzburg Economic Papers 68, University of Würzburg, Department of Economics.
    35. Eric T. Swanson, 2004. "Federal Reserve transparency and financial market forecasts of short-term interest rates," Finance and Economics Discussion Series 2004-06, Board of Governors of the Federal Reserve System (U.S.).
    36. Alex Luiz FERREIRA, 2010. "Are Real Interest Differentials Caused by Frictions in Goods or Assets Markets, Real or Nominal Shocks?," EcoMod2004 330600051, EcoMod.
    37. Schmitt-Grohé, Stephanie & Uribe, Martín, 2022. "The effects of permanent monetary shocks on exchange rates and uncovered interest rate differentials," Journal of International Economics, Elsevier, vol. 135(C).
    38. Francesco Zanetti & Christoph Görtz & Wei Li & John Tsoukalas, 2020. "Vintage Article: The Effect of Monetary Policy Shocks in the United Kingdom: an External Instruments Approach," Economics Series Working Papers 812, University of Oxford, Department of Economics.
    39. Louis Raffestin, 2016. "Foreign exchange investment rules and endogenous currency crashes," Working Papers hal-01277113, HAL.
    40. Delphine Boutin, 2011. "D'une crise à l'autre : mesurer l'impact des prix alimentaires sur la pauvreté," Working Papers hal-00637608, HAL.
    41. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2016. "Structural analysis with mixed frequencies: monetary policy, uncertainty and gross capital flows," JRC Working Papers in Economics and Finance 2016-04, Joint Research Centre, European Commission.
    42. De Grauwe, Paul & Grimaldi, Marianna, 2006. "Exchange rate puzzles: A tale of switching attractors," European Economic Review, Elsevier, vol. 50(1), pages 1-33, January.
    43. Jean-François Goux & Charbel Cordahi, 2007. "The international transmission of monetary shocks in a dollarized economy: The case of USA and Lebanon," Post-Print halshs-00174466, HAL.
    44. Karau, Sören, 2024. "Relative monetary policy and exchange rates," Discussion Papers 40/2024, Deutsche Bundesbank.
    45. Andersson, Magnus & Hansen, Lars Jul & Sebestyén, Szabolcs, 2006. "Which news moves the euro area bond market?," Working Paper Series 631, European Central Bank.
    46. Marc Burri & Daniel Kaufmann, 2024. "Multi-dimensional monetary policy shocks based on heteroscedasticity," IRENE Working Papers 24-03, IRENE Institute of Economic Research.
    47. Kriwoluzky, Alexander, 2012. "Pre-announcement and timing: The effects of a government expenditure shock," European Economic Review, Elsevier, vol. 56(3), pages 373-388.
    48. John C. Bluedorn & Christopher Bowdler, 2005. "Monetary Policy and Exchange Rate Dynamics: New Evidence from the Narrative Approach to Shock Identification," Economics Papers 2005-W18, Economics Group, Nuffield College, University of Oxford.
    49. Marianna Grimaldi & Paul De Grauwe, 2003. "Bubbling and Crashing Exchange Rates," CESifo Working Paper Series 1045, CESifo.
    50. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    51. De Santis, Roberto A. & Tornese, Tommaso, 2024. "US monetary policy is more powerful in low economic growth regimes," Working Paper Series 2919, European Central Bank.
    52. Oliver Holtemöller & Alexander Kriwoluzky & Boreum Kwak, 2020. "Exchange Rates and the Information Channel of Monetary Policy," Discussion Papers of DIW Berlin 1906, DIW Berlin, German Institute for Economic Research.
    53. Georgios Georgiadis, 2016. "To bi, or not to bi? Differences in Spillover Estimates from Bilateral and Multilateral Multi-country Models," EcoMod2016 9145, EcoMod.
    54. Paul de Grauwe & Roberto Dieci & Marianna Grimaldi & Paul De Grauwe, 2005. "Fundamental and Non-Fundamental Equilibria in the Foreign Exchange Market. A Behavioural Finance Framework," CESifo Working Paper Series 1431, CESifo.
    55. Fatum, Rasmus & Scholnick, Barry, 2003. "Do Exchange Rates Respond to Day-to-Day Changes in Monetary Policy Expectations? Evidence from the Federal Funds Futures Market," Santa Cruz Department of Economics, Working Paper Series qt4cc3291n, Department of Economics, UC Santa Cruz.
    56. Holtemöller, Oliver & Kriwoluzky, Alexander & Kwak, Boreum, 2024. "Is there an information channel of monetary policy?," IWH Discussion Papers 17/2020, Halle Institute for Economic Research (IWH), revised 2024.
    57. Christopher D. Carroll, 2007. "Comment on "Macroeconomic Derivatives: An Initial Analysis of Market-Based Macro Forecasts, Uncertainty, and Risk"," NBER Chapters, in: NBER International Seminar on Macroeconomics 2005, pages 51-59, National Bureau of Economic Research, Inc.
    58. Martin D. D. Evans(Georgetown University and NBER) and Richard K. Lyons(U.C. Berkeley and NBER, Haas School of Business), 2005. "A New Micro Model of Exchange Rate Dynamics (March 2004)," Working Papers gueconwpa~05-05-04, Georgetown University, Department of Economics.
    59. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," LSE Research Online Documents on Economics 125291, London School of Economics and Political Science, LSE Library.
    60. Michael Melvin & Christian Saborowski & Michael Sager & Mark P. Taylor, 2009. "Bank of England Interest Rate Announcements and the Foreign Exchange Market," CESifo Working Paper Series 2613, CESifo.
    61. Mahdi Barakchian, S., 2015. "Transmission of US monetary policy into the Canadian economy: A structural cointegration analysis," Economic Modelling, Elsevier, vol. 46(C), pages 11-26.
    62. Pitschner, Stefan, 2013. "Using Financial Markets To Estimate the Macro Effects of Monetary Policy:," Working Paper Series 267, Sveriges Riksbank (Central Bank of Sweden).
    63. Bachmann, Rüdiger & Gödl-Hanisch, Isabel & Sims, Eric R., 2022. "Identifying monetary policy shocks using the central bank’s information set," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
    64. Munir, Kashif & Qayyum, Abdul, 2012. "Measuring the effects of monetary policy in Pakistan: A factor augmented vector autoregressive approach," MPRA Paper 35976, University Library of Munich, Germany.
    65. Llaudes, Ricardo, 2007. "Monetary policy shocks in a two-sector open economy: an empirical study," Working Paper Series 799, European Central Bank.
    66. Charles Engel & Nelson C. Mark & Kenneth D. West, 2007. "Exchange Rate Models Are Not as Bad as You Think," NBER Working Papers 13318, National Bureau of Economic Research, Inc.
    67. Luis Fernando Melo & Hernán Rincon, 2012. "External Shocks and Asset Prices in Latin America before and after Lehman Brothers’ Bankruptcy," Borradores de Economia 704i, Banco de la Republica de Colombia.
    68. Magnus Andersson & Lars Jul Overby & Szabolcs Sebestyén, 2009. "Which News Moves the Euro Area Bond Market?," German Economic Review, Verein für Socialpolitik, vol. 10(1), pages 1-31, February.
    69. Valente, Giorgio, 2009. "International interest rates and US monetary policy announcements: Evidence from Hong Kong and Singapore," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 920-940, October.
    70. d'Amico, Stefania & Mira Farka, 2003. "The Fed and Stock Market: A Proxy and Instrumental Variable Identification," Royal Economic Society Annual Conference 2003 52, Royal Economic Society.
    71. Nikola Gradojevic & Christopher J. Neely, 2008. "The dynamic interaction of order flows and the CAD/USD exchange rate," Working Papers 2008-006, Federal Reserve Bank of St. Louis.
    72. Laséen, Stefan, 2020. "Monetary Policy Surprises, Central Bank Information Shocks, and Economic Activity in a Small Open Economy," Working Paper Series 396, Sveriges Riksbank (Central Bank of Sweden).
    73. James H. Stock & Mark W. Watson, 2017. "Twenty Years of Time Series Econometrics in Ten Pictures," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 59-86, Spring.
    74. Norman C. Miller, 2014. "Exchange Rate Economics," Books, Edward Elgar Publishing, number 14981.
    75. Nicholas Taylor, 2010. "The Determinants of Future U.S. Monetary Policy: High-Frequency Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2-3), pages 399-420, March.
    76. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2020. "Structural analysis with mixed-frequency data: A model of US capital flows," Economic Modelling, Elsevier, vol. 89(C), pages 427-443.
    77. Ashesh Rambachan & Neil Shephard, 2019. "When do common time series estimands have nonparametric causal meaning?," Papers 1903.01637, arXiv.org, revised Jan 2025.
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    80. Jonathan Kearns & Phil Manners, 2006. "The Impact of Monetary Policy on the Exchange Rate: A Study Using Intraday Data," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    81. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2016. "Unconventional Monetary Policy and International Risk Premia," International Finance Discussion Papers 1172, Board of Governors of the Federal Reserve System (U.S.).
    82. Santos, Francisco Luna & Garcia, Márcio Gomes Pinto & Medeiros, Marcelo Cunha, 2016. "The High Frequency Impact of Macroeconomic Announcements in the Brazilian Futures Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    83. Farka, Mira & DaSilva, Amadeu, 2011. "The fed and the term structure: Addressing simultaneity within a structural VAR model," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 935-952.

  47. Jon Faust & John H. Rogers & Jonathan H. Wright, 2001. "An empirical comparison of Bundesbank and ECB monetary policy rules," International Finance Discussion Papers 705, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Arnold, Ivo J.M., 2006. "Optimal regional biases in ECB interest rate setting," European Journal of Political Economy, Elsevier, vol. 22(2), pages 307-321, June.
    2. Patrick Honohan & Philip R. Lane, 2003. "Divergent inflation rates in EMU [‘European financial integration and equity returns: a theory-based assessment’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(37), pages 357-394.
    3. P. Siklos & M. Bohl, 2006. "Asset Prices as Indicators of Euro Area Monetary Policy: An Empirical Assessment of Their Role in a Taylor Rule," Working Papers eg0053, Wilfrid Laurier University, Department of Economics, revised 2006.
    4. Bohl, Martin T. & Siklos, Pierre L. & Werner, Thomas, 2007. "Do central banks react to the stock market? The case of the Bundesbank," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 719-733, March.
    5. Paolo Surico, 2003. "How does the ECB target inflation?," Macroeconomics 0305005, University Library of Munich, Germany.
    6. Gerlach-Kristen, Petra, 2003. "Interest rate reaction functions and the Taylor rule in the euro area," Working Paper Series 258, European Central Bank.
    7. Siklos, Pierre L. & Bohl, Martin T., 2007. "Do actions speak louder than words? Evaluating monetary policy at the Bundesbank," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 368-386, June.
    8. Zeno Rotondi & Giacomo Vaciago, 2007. "Lessons from the ECB Experience: Frankfurt Still Matters!," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 36(2), pages 147-170, July.
    9. Coenen, Gunter, 2007. "Inflation persistence and robust monetary policy design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 111-140, January.
    10. Claudia Kurz & Jeong-Ryeol Kurz-Kim, 2011. "Taylor Rule Revisited: from an Econometric Point of View," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 46-51, June.
    11. Fourçans, André & Vranceanu, Radu, 2002. "ECB Monetary Policy Rule: Some Theory and Empirical Evidence," ESSEC Working Papers DR 02008, ESSEC Research Center, ESSEC Business School.
    12. Jérôme Creel & Jacky Fayolle, 2002. "La Banque centrale européenne ou le Seigneur des euros," SciencePo Working papers Main hal-01017808, HAL.
    13. Yemba, Boniface P. & Otunuga, Olusegun Michael & Tang, Biyan & Biswas, Nabaneeta, 2023. "Nowcasting of the Short-run Euro-Dollar Exchange Rate with Economic Fundamentals and Time-varying Parameters," Finance Research Letters, Elsevier, vol. 52(C).
    14. Eleftheriou, Maria, 2009. "Monetary policy in Germany: A cointegration analysis on the relevance of interest rate rules," Economic Modelling, Elsevier, vol. 26(5), pages 946-960, September.
    15. Stephan Sauer & Jan-Egbert Sturm, 2003. "Using Taylor Rules to Understand ECB Monetary Policy," CESifo Working Paper Series 1110, CESifo.
    16. Gerdesmeier, Dieter & Roffia, Barbara, 2005. "The relevance of real-time data in estimating reaction functions for the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 293-307, December.
    17. Beck, Günther W. & Beyer, Robert C. M. & Kontny, Markus & Wieland, Volker, 2015. "Monetary Cross-Checking in Practice," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113126, Verein für Socialpolitik / German Economic Association.
    18. Patrick Honohan & Anthony J. Leddin, 2006. "Ireland in EMU - More Shocks, Less Insulation?," The Economic and Social Review, Economic and Social Studies, vol. 37(2), pages 263-294.
    19. Volker Clausen & Bernd Hayo, 2002. "Makroökonomische Implikationen der Mitgliedschaft Deutschlands in der Europäischen Währungsunion," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 71(3), pages 339-353.
    20. Fourcans, Andre & Vranceanu, Radu, 2004. "The ECB interest rate rule under the Duisenberg presidency," European Journal of Political Economy, Elsevier, vol. 20(3), pages 579-595, September.
    21. Dieter Gerdesmeier & Barbara Roffia, 2004. "Empirical Estimates of Reaction Functions for the Euro Area," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(I), pages 37-66, March.
    22. Conrad, Christian & Hartmann, Matthias, 2014. "Cross-sectional evidence on the relation between monetary policy, macroeconomic conditions and low-frequency inflation uncertainty," Working Papers 0574, University of Heidelberg, Department of Economics.
    23. Heinemann, Friedrich & Huefner, Felix P., 2002. "Is the View from the Eurotower Purely European? National Divergence and ECB Interest Rate Policy," ZEW Discussion Papers 02-69, ZEW - Leibniz Centre for European Economic Research.
    24. Zeno Rotondi & Giacomo Vaciago, 2003. "The reputation of a newborn central bank," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 56(224), pages 3-22.
    25. FitzGerald, John & Bergin, Adele & Conefrey, Thomas & Diffney, Sean & Duffy, David & Kearney, Ide & Lyons, Sean & Malaguzzi Valeri, Laura & Mayor, Karen & Richard S. J. Tol, 2008. "Medium-Term Review 2008-2015, No. 11," Forecasting Report, Economic and Social Research Institute (ESRI), number MTR11, march.
    26. Jan J J Groen & Akito Matsumoto, 2004. "Real exchange rate persistence and systematic monetary policy behaviour," Bank of England working papers 231, Bank of England.
    27. Ansgar Belke & Thorsten Polleit, 2007. "How the ECB and the US Fed set interest rates," Applied Economics, Taylor & Francis Journals, vol. 39(17), pages 2197-2209.
    28. Gerdesmeier, Dieter & Roffia, Barbara, 2004. "Taylor rules for the euro area: the issue of real-time data," Discussion Paper Series 1: Economic Studies 2004,37, Deutsche Bundesbank.
    29. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2005. "How the Bundesbank really conducted monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 277-292, December.
    30. Patrick Lünnemann & Abdelaziz Rouabah, 2003. "Règle de Taylor: estimation et interprétation pour la zone euro et pour le Luxembourg," BCL working papers 9, Central Bank of Luxembourg.
    31. Karsten Ruth, 2007. "Interest rate reaction functions for the euro area," Empirical Economics, Springer, vol. 33(3), pages 541-569, November.
    32. Anton, Roman, 2015. "Monetary Development and Transmission in the Eurosystem," MPRA Paper 67323, University Library of Munich, Germany, revised 08 Oct 2015.
    33. Ruth, Karsten, 2004. "Interest rate reaction functions for the euro area Evidence from panel data analysis," Discussion Paper Series 1: Economic Studies 2004,33, Deutsche Bundesbank.
    34. Michael Arghyrou, 2009. "Monetary policy before and after the euro: evidence from Greece," Empirical Economics, Springer, vol. 36(3), pages 621-643, June.
    35. Leon, Costas, 2006. "The Taylor rule: can it be supported by the data?," MPRA Paper 1650, University Library of Munich, Germany.
    36. Gerlach, Stefan, 2004. "Interest Rate Setting by the ECB: Words and Deeds," CEPR Discussion Papers 4775, C.E.P.R. Discussion Papers.
    37. Siklos, Pierre L. & Bohl, Martin T. & Werner, Thomas, 2003. "Did the Bundesbank React to Stock Price Movements?," Discussion Paper Series 1: Economic Studies 2003,14, Deutsche Bundesbank.
    38. Rautureau, Nicolas, 2004. "Measuring the long-term perception of monetary policy and the term structure," Bank of Finland Research Discussion Papers 12/2004, Bank of Finland.
    39. Chiara Scotti, 2006. "A bivariate model of Fed and ECB main policy rates," International Finance Discussion Papers 875, Board of Governors of the Federal Reserve System (U.S.).
    40. Conrad, Christian & Hartmann, Matthias, 2019. "On the determinants of long-run inflation uncertainty: Evidence from a panel of 17 developed economies," European Journal of Political Economy, Elsevier, vol. 56(C), pages 233-250.
    41. Aleksandra Maslowska, 2009. "Using Taylor Rule to Explain Effects of Institutional Changes in Central Banks," Discussion Papers 46, Aboa Centre for Economics.
    42. Colavecchio, Roberta & Carstensen, Kai, 2004. "Did the Revision of the ECB Monetary Policy Strategy Affect the Reaction Function?," Kiel Working Papers 1221, Kiel Institute for the World Economy (IfW Kiel).
    43. Ansgar Belke & Wim Kösters & Martin Leschke & Thorsten Polleit, 2005. "Back to the rules," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 268/2005, Department of Economics, University of Hohenheim, Germany.
    44. Wilde, Wolfram, 2012. "The influence of Taylor rule deviations on the real exchange rate," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 51-61.
    45. Ahmad Hassan Ahmad & Stephen Brown, 2017. "Re-examining the ECB’s two-pillar monetary policy strategy: Are there any deviations during and the pre-financial crisis periods?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 585-607, August.
    46. Gerberding, Christina & Worms, Andreas & Seitz, Franz, 2004. "How the Bundesbank really conducted monetary policy: An analysis based on real-time data," Discussion Paper Series 1: Economic Studies 2004,25, Deutsche Bundesbank.
    47. Mésonnier, J-S. & Renne, J-P., 2004. "Règle de Taylor et politique monétaire dans la zone euro," Working papers 117, Banque de France.

  48. Jon Faust & John H. Rogers & Jonathan H. Wright, 2001. "Exchange rate forecasting: the errors we've really made," International Finance Discussion Papers 714, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Martin D. D. Evans & Richard K. Lyons, 2017. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 11, pages 457-475, World Scientific Publishing Co. Pte. Ltd..
    2. Adam J. Check & Anna K Nolan & Tyler C. Schipper, 2019. "Forecasting GDP Growth using Disaggregated GDP Revisions," Economics Bulletin, AccessEcon, vol. 39(4), pages 2580-2588.
    3. Lucio Sarno & Giorgio Valente, 2009. "Exchange Rates and Fundamentals: Footloose or Evolving Relationship?," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 786-830, June.
    4. Rossi, José Luiz Júnior, 2013. "Liquidity and Exchange Rates," Insper Working Papers wpe_325, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    5. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    6. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    7. Rossi, Barbara, 2013. "Exchange Rate Predictability," CEPR Discussion Papers 9575, C.E.P.R. Discussion Papers.
    8. Kelly Burns, 2016. "A Reconsideration of the Meese-Rogoff Puzzle: An Alternative Approach to Model Estimation and Forecast Evaluation," Multinational Finance Journal, Multinational Finance Journal, vol. 20(1), pages 41-83, March.
    9. Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2004. "Exchange Rates and Fundamentals: Evidence on the Economic Value of Predictability," CEPR Discussion Papers 4365, C.E.P.R. Discussion Papers.
    10. Moore, Michael J. & Roche, Maurice J., 2010. "Solving exchange rate puzzles with neither sticky prices nor trade costs," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1151-1170, October.
    11. Martin D. D. Evans & Richard K. Lyons, 2007. "Exchange Rate Fundamentals and Order Flow," NBER Working Papers 13151, National Bureau of Economic Research, Inc.
    12. Reitz Stefan & Rülke Jan-Christoph & Stadtmann Georg, 2010. "Regressive Oil Price Expectations Toward More Fundamental Values of the Oil Price," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(4), pages 454-466, August.
    13. Darvas, Zsolt & Schepp, Zoltán, 2007. "Kelet-közép-európai devizaárfolyamok előrejelzése határidős árfolyamok segítségével [Forecasting the exchange rates of three Central-Eastern European currencies with forward exchange rates]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 501-528.
    14. Yip Yin & Quah Hoe, 2008. "A New Variant of ARFIMA Process and Its Predictive Ability," Modern Applied Science, Canadian Center of Science and Education, vol. 2(2), pages 142-142, March.
    15. Darvas, Zsolt & Schepp, Zoltán, 2020. "Forecasting exchange rates of major currencies with long maturity forward rates," Corvinus Economics Working Papers (CEWP) 2020/01, Corvinus University of Budapest.
    16. Kari Heimonen, 2006. "Time-Varying Fundamentals of the Euro-Dollar Exchange Rate," International Economic Journal, Taylor & Francis Journals, vol. 20(4), pages 385-407.
    17. Christopher J. Neely & Lucio Sarno, 2002. "How well do monetary fundamentals forecast exchange rates?," Review, Federal Reserve Bank of St. Louis, vol. 84(Sep), pages 51-74.
    18. Cheung, Yin-Wong & Chinn, Menzie David & Garcia Pascual, Antonio, 2003. "What Do We Know about Recent Exchange Rate Models? In-Sample Fit and Out-of-Sample Performance Evaluated," Santa Cruz Department of Economics, Working Paper Series qt8ds2g7qg, Department of Economics, UC Santa Cruz.
    19. Michael P. Clements & David I. Harvey, 2010. "Forecast encompassing tests and probability forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 1028-1062.
    20. Atsushi Inoue & Barbara Rossi, 2008. "Monitoring and Forecasting Currency Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 523-534, March.
    21. Richard G. Anderson, 2006. "Replicability, real-time data, and the science of economic research: FRED, ALFRED, and VDC," Review, Federal Reserve Bank of St. Louis, vol. 88(Jan), pages 81-93.
    22. Deven Bathia & Riza Demirer & Rangan Gupta & Kevin Kotze, 2020. "Unemployment Fluctuations and Currency Returns in the United Kingdom: Evidence from Over One and a Half Century of Data," Working Papers 202083, University of Pretoria, Department of Economics.
    23. Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015. "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 116-141.
    24. Cerra, Valerie & Saxena, Sweta Chaman, 2010. "The monetary model strikes back: Evidence from the world," Journal of International Economics, Elsevier, vol. 81(2), pages 184-196, July.
    25. Kilian, Lutz & Inoue, Atsushi, 2002. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," CEPR Discussion Papers 3671, C.E.P.R. Discussion Papers.
    26. Ahmed, Jameel & Straetmans, Stefan, 2015. "Predicting exchange rate cycles utilizing risk factors," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 112-130.
    27. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    28. Stelios Bekiros, 2011. "Exchange Rates and Fundamentals: Co-Movement, Long-Run Relationships and Short-run Dynamics," Economics Working Papers ECO2011/21, European University Institute.
    29. Ron Alquist & Menzie D. Chinn, 2008. "Conventional and unconventional approaches to exchange rate modelling and assessment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 2-13.
    30. Leitner, Johannes & Schmidt, Robert & Bofinger, Peter, 2003. "Biases of professional exchange rate forecasts: Psychological explanations and an experimentally based comparison to novices," W.E.P. - Würzburg Economic Papers 39, University of Würzburg, Department of Economics.
    31. Charles Engel, 2013. "Exchange Rates and Interest Parity," NBER Working Papers 19336, National Bureau of Economic Research, Inc.
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    35. Martin McCarthy, Stephen Snudden, 2024. "Forecasts of Period-Average Exchange Rates: New Insights from Real-Time Daily Data," LCERPA Working Papers jc0148, Laurier Centre for Economic Research and Policy Analysis, revised Oct 2024.
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    38. Morales-Arias, Leonardo & Moura, Guilherme V., 2013. "Adaptive forecasting of exchange rates with panel data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 493-509.
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    44. Clements, Michael P. & Galvão, Ana Beatriz, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," The Warwick Economics Research Paper Series (TWERPS) 953, University of Warwick, Department of Economics.
    45. Kenneth W Clements & Yihui Lan & John Roberts, 2007. "Exchange-Rate Economics for the Resources Sector," Economics Discussion / Working Papers 07-13, The University of Western Australia, Department of Economics.
    46. Ca' Zorzi, Michele & Rubaszek, Michał & Muck, Jakub, 2013. "Real exchange rate forecasting: a calibrated half-life PPP model can beat the random walk," Working Paper Series 1576, European Central Bank.
    47. Clements, Michael P & Galvão, Ana Beatriz, 2006. "Macroeconomic Forecasting with Mixed Frequency Data : Forecasting US output growth and inflation," The Warwick Economics Research Paper Series (TWERPS) 773, University of Warwick, Department of Economics.
    48. Rossi Junior, Jose Luiz & Felicio, Wilson Rafael de Oliveira, 2014. "Common Factors and the Exchange Rate: Results From the Brazilian Case," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
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    52. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
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    82. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
    83. Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Journal of Econometrics, Elsevier, vol. 196(1), pages 55-67.
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    88. Ardic, Oya Pinar & Ergin, Onur & Senol, G. Bahar, 2008. "Exchange Rate Forecasting: Evidence from the Emerging Central and Eastern European Economies," MPRA Paper 7505, University Library of Munich, Germany.
    89. Ernesto Pienika & Maximiliano Mateauda, 2017. "Análisis del proceso de revisión de las Cuentas Nacionales Trimestrales en Uruguay," Documentos de trabajo 2017008, Banco Central del Uruguay.
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    91. Sarantis, Nicholas, 2006. "On the short-term predictability of exchange rates: A BVAR time-varying parameters approach," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2257-2279, August.
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    94. Frömmel, Michael & MacDonald, Ronald & Menkhoff, Lukas, 2003. "Do Fundamentals Matter for the D-Mark/Euro-Dollar? A Regime Switching Approach," Hannover Economic Papers (HEP) dp-289, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
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    Cited by:

    1. Pierre Perron & Zhongjun Qu, 2008. "Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices," Boston University - Department of Economics - Working Papers Series wp2008-004, Boston University - Department of Economics.
    2. Ngene, Geoffrey & Tah, Kenneth A. & Darrat, Ali F., 2017. "Long memory or structural breaks: Some evidence for African stock markets," Review of Financial Economics, Elsevier, vol. 34(C), pages 61-73.
    3. Frank S. Nielsen & Morten Ø. Nielsen & Per Houmann Frederiksen, 2009. "Local Polynomial Whittle Estimation Of Perturbed Fractional Processes," Working Paper 1218, Economics Department, Queen's University.
    4. Ranjit Kumar Paul & Bishal Gurung & Sandipan Samanta, 2015. "Analyzing the Effect of Dual Long Memory Process in Forecasting Agricultural Prices in Different Markets of India," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(4), pages 235-249.
    5. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    6. Christopher J. Neely, 2004. "Forecasting foreign exchange volatility: why is implied volatility biased and inefficient? and does it matter?," Working Papers 2002-017, Federal Reserve Bank of St. Louis.
    7. David McMillan & Alan Speight, 2006. "Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 959-972.
    8. Geoffrey Ngene & Ann Nduati Mungai & Allen K. Lynch, 2018. "Long-Term Dependency Structure and Structural Breaks: Evidence from the U.S. Sector Returns and Volatility," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-38, June.
    9. Paolo Zaffaroni, 2003. "Gaussian inference on certain long-range dependent volatility models," Temi di discussione (Economic working papers) 472, Bank of Italy, Economic Research and International Relations Area.
    10. Clifford Hurvich & Eric Moulines & Philippe Soulier, 2004. "Estimating Long Memory in Volatility," Econometrics 0412006, University Library of Munich, Germany.
    11. Dalla, Violetta, 2015. "Power transformations of absolute returns and long memory estimation," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 1-18.
    12. Maheu John, 2005. "Can GARCH Models Capture Long-Range Dependence?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-43, December.
    13. Serpil TURKYILMAZ & Mesut BALIBEY, 2014. "Long Memory Behavior in the Returns of Pakistan Stock Market: ARFIMA-FIGARCH Models," International Journal of Economics and Financial Issues, Econjournals, vol. 4(2), pages 400-410.
    14. Christopher J. Neely, 2004. "Implied volatility from options on gold futures: do statistical forecasts add value or simply paint the lilly?," Working Papers 2003-018, Federal Reserve Bank of St. Louis.
    15. Tripathy, Naliniprava, 2022. "Long memory and volatility persistence across BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    16. Avci-Surucu, Ezgi & Aydogan, A. Kursat & Akgul, Doganbey, 2016. "Bidding structure, market efficiency and persistence in a multi-time tariff setting," Energy Economics, Elsevier, vol. 54(C), pages 77-87.
    17. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    18. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.

  50. Jonathan H. Wright, 2000. "Exact confidence intervals for impulse responses in a Gaussian vector autoregression," International Finance Discussion Papers 682, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank.
    2. Ossama Mikhail & Curtis J. Eberwein & Jagdish Handa, 2003. "Can Sectoral Shifts Generate Persistent Unemployment in Real Business Cycle Models?," Macroeconomics 0311004, University Library of Munich, Germany.

  51. Jon Faust & John H. Rogers & Jonathan H. Wright, 2000. "News and noise in G-7 GDP announcements," International Finance Discussion Papers 690, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Edward Nelson & Kalin Nikolov, 2001. "UK inflation in the 1970s and 1980s: the role of output gap mismeasurement," Bank of England working papers 148, Bank of England.
    2. Bruno Ducoudré & Paul Hubert & Guilhem Tabarly, 2020. "The state-dependence of output revisions," Documents de Travail de l'OFCE 2020-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
    4. Görtz, Christoph & Yeromonahos, Mallory, 2022. "Asymmetries in risk premia, macroeconomic uncertainty and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    5. Karen E. Dynan & Douglas W. Elmendorf, 2001. "Do provisional estimates of output miss economic turning points?," Finance and Economics Discussion Series 2001-52, Board of Governors of the Federal Reserve System (U.S.).
    6. Michael Kleemann & Gernot Mueller & Zeno Enders, 2015. "Growth expectations, undue optimism, and short-run fluctuations," 2015 Meeting Papers 406, Society for Economic Dynamics.
    7. Nicholas Taylor, 2014. "Economic forecast quality: information timeliness and data vintage effects," Empirical Economics, Springer, vol. 46(1), pages 145-174, February.
    8. Franses, Philip Hans, 2013. "Data revisions and periodic properties of macroeconomic data," Economics Letters, Elsevier, vol. 120(2), pages 139-141.
    9. Jan Jacobs & Jan-Egbert Sturm, 2009. "The information content of KOF indicators on Swiss current account data revisions," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2008(2), pages 161-181.
    10. Michael P. Clements & David I. Harvey, 2010. "Forecast encompassing tests and probability forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 1028-1062.
    11. Dean Croushore, 2009. "Commentary on Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 371-382.
    12. Sinclair, Tara M., 2019. "Characteristics and implications of Chinese macroeconomic data revisions," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1108-1117.
    13. Pino, Gabriel, 2013. "Forecasting disaggregates by sectors and regions : the case of inflation in the euro area and Spain," DES - Working Papers. Statistics and Econometrics. WS ws130807, Universidad Carlos III de Madrid. Departamento de Estadística.
    14. Francisco de Castro & Javier J. Pérez & Marta Rodríguez Vives, 2011. "Fiscal data revisions in Europe," Working Papers 1106, Banco de España.
    15. Pascal Bührig & Klaus Wohlrabe, 2015. "Revisionen der deutschen Industrieproduktion und die ifo Indikatoren," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(21), pages 27-31, November.
    16. komaki, Yasuyuki, 2023. "Why is the forecast error of quarterly GDP in Japan so large? – From an international comparison of quarterly GDP forecast situation," Japan and the World Economy, Elsevier, vol. 66(C).
    17. Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
    18. Dellas, Harris & Collard, Fabrice, 2010. "Monetary Misperceptions, Output and Inflation Dynamics," CEPR Discussion Papers 7644, C.E.P.R. Discussion Papers.
    19. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
    20. Richard Harrison & George Kapetanios, 2004. "Forecasting with Measurement Errors in Dynamic Models," Working Papers 521, Queen Mary University of London, School of Economics and Finance.
    21. Timmermann, Allan & Patton, Andrew, 2007. "Learning in Real Time: Theory and Empirical Evidence from the Term Structure of Survey Forecasts," CEPR Discussion Papers 6526, C.E.P.R. Discussion Papers.
    22. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    23. Michael Clements, 2017. "Do forecasters target first or later releases of national accounts data?," ICMA Centre Discussion Papers in Finance icma-dp2017-03, Henley Business School, University of Reading.
    24. Katja Heinisch & Rolf Scheufele, 2019. "Should Forecasters Use Real‐Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 170-200, November.
    25. Bańkowski, Krzysztof & Faria, Thomas & Schall, Robert, 2022. "How well-behaved are revisions to quarterly fiscal data in the euro area?," Working Paper Series 2676, European Central Bank.
    26. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    27. Kishor, N. Kundan, 2011. "Data revisions in India: Implications for monetary policy," Journal of Asian Economics, Elsevier, vol. 22(2), pages 164-173, April.
    28. Fabio Busetti, 2006. "Preliminary data and econometric forecasting: an application with the Bank of Italy Quarterly Model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(1), pages 1-23.
    29. Amberger, Korie, 2013. "The Role of Capital on Noise Shocks," MPRA Paper 46483, University Library of Munich, Germany.
    30. Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018. "Uncertain kingdom: nowcasting GDP and its revisions," LSE Research Online Documents on Economics 90382, London School of Economics and Political Science, LSE Library.
    31. Pascal Bührig & Klaus Wohlrabe, 2016. "Forecasting revisions of German industrial production," Applied Economics Letters, Taylor & Francis Journals, vol. 23(15), pages 1062-1064, October.
    32. Steffen Henzel & Claire Thürwächter, 2015. "Verlässlichkeit der EU-Methode zur Schätzung des Produktionspotenzials in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(18), pages 18-24, September.
    33. Verónica Cañal-Fernández, 2012. "Accuracy and reliability of Spanish regional accounts (CRE-95)," Empirical Economics, Springer, vol. 43(3), pages 1299-1320, December.
    34. Casares, Miguel & Vázquez, Jesús, 2016. "Data Revisions In The Estimation Of Dsge Models," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1683-1716, October.
    35. Chiu Adrian & Wieladek Tomasz, 2013. "Is the “Great Recession” really so different from the past?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1037-1084, October.
    36. Jan Jacobs & Jan-Egbert Sturm, 2007. "A real-time analysis of the Swiss trade account," Money Macro and Finance (MMF) Research Group Conference 2006 167, Money Macro and Finance Research Group.
    37. van Dijk, D.J.C. & Franses, Ph.H.B.F. & Ravazzolo, F., 2007. "Evaluating real-time forecasts in real-time," Econometric Institute Research Papers EI 2007-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    38. M. Mogliani & T. Ferrière, 2016. "Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP," Working papers 600, Banque de France.
    39. Faust, Jon & Wright, Jonathan H., 2008. "Efficient forecast tests for conditional policy forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 293-303, October.
    40. Clements, Michael P & Galvão, Ana Beatriz, 2006. "Macroeconomic Forecasting with Mixed Frequency Data : Forecasting US output growth and inflation," The Warwick Economics Research Paper Series (TWERPS) 773, University of Warwick, Department of Economics.
    41. Jeffrey A. Frankel & Ayako Saiki, 2017. "Does It Matter If Statistical Agencies Frame the Month’s CPI Reporton a 1-Month or 12-month Basis?," NBER Working Papers 23754, National Bureau of Economic Research, Inc.
    42. Garratt, Anthony & Koop, Gary & Mise, Emi & Vahey, Shaun P., 2009. "Real-Time Prediction With U.K. Monetary Aggregates in the Presence of Model Uncertainty," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 480-491.
    43. Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
    44. Michael Pedersen, 2010. "Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data," Working Papers Central Bank of Chile 595, Central Bank of Chile.
    45. Gilbert, Thomas, 2011. "Information aggregation around macroeconomic announcements: Revisions matter," Journal of Financial Economics, Elsevier, vol. 101(1), pages 114-131, July.
    46. Anthony Garratt & Gary Koop & Shaun P. Vahey, 2008. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Economic Journal, Royal Economic Society, vol. 118(530), pages 1128-1144, July.
    47. Jalles, João Tovar, 2017. "On the rationality and efficiency of inflation forecasts: Evidence from advanced and emerging market economies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 175-189.
    48. Jacoby, Gady & Lee, Gemma & Paseka, Alexander & Wang, Yan, 2019. "Asset pricing with an imprecise information set," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 82-93.
    49. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    50. Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
    51. Yunus Aksoy & Kurmas Akdogan, 2006. "Exchange Rates and Fundamentals: Is there a Role for Nonlinearities in Real Time?," Computing in Economics and Finance 2006 12, Society for Computational Economics.
    52. Sentance, Andrew & Taylor, Mark P. & Wieladek, Tomasz, 2012. "How the UK economy weathered the financial storm," Journal of International Money and Finance, Elsevier, vol. 31(1), pages 102-123.
    53. Roland Döhrn, 2023. "Are German National Accounts informationally efficient?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 23-42, March.
    54. Danae Scherman Teitelboim, 2020. "Revisiones en cuentas nacionales trimestrales Chile 2006-2019," Economic Statistics Series 131, Central Bank of Chile.
    55. Todd E. Clark & Michael W. McCracken, 2011. "Tests of equal forecast accuracy for overlapping models," Working Papers (Old Series) 1121, Federal Reserve Bank of Cleveland.
    56. Dean Croushore, 2011. "Frontiers of Real-Time Data Analysis," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
    57. Troy D. Matheson & James Mitchell & Brian Silverstone, 2010. "Nowcasting and predicting data revisions using panel survey data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 313-330.
    58. Evans, Martin D.D., 2005. "Where Are We Now? Real-Time Estimates of the Macro Economy," CEPR Discussion Papers 5270, C.E.P.R. Discussion Papers.
    59. Jacobs, Jan P.A.M. & van Norden, Simon, 2011. "Modeling data revisions: Measurement error and dynamics of "true" values," Journal of Econometrics, Elsevier, vol. 161(2), pages 101-109, April.
    60. Norman R. Swanson & Valentina Corradi & Andres Fernandez, 2011. "Information in the Revision Process of Real-Time Datasets," Departmental Working Papers 201107, Rutgers University, Department of Economics.
    61. Croushore Dean, 2010. "An Evaluation of Inflation Forecasts from Surveys Using Real-Time Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, May.
    62. KOMINE Takao & BAN Kanemi & KAWAGOE Masaaki & YOSHIDA Hiroshi, 2009. "What Have We Learned from a Survey of Japanese Professional Forecasters? Taking Stock of Four Years of ESP Forecast Experience," ESRI Discussion paper series 214, Economic and Social Research Institute (ESRI).
    63. Pérez-Quirós, Gabriel & Camacho, Máximo, 2009. "Introducing the Euro-STING: Short-Term Indicator of Euro Area Growth," CEPR Discussion Papers 7343, C.E.P.R. Discussion Papers.
    64. S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP measurement: a measurement-error perspective," Working Papers 13-16, Federal Reserve Bank of Philadelphia.
    65. Gavin, William T. & Mandal, Rachel J., 2003. "Evaluating FOMC forecasts," International Journal of Forecasting, Elsevier, vol. 19(4), pages 655-667.
    66. Sarmidi, Tamat, 2008. "Exchange Rates Predictability in Developing Countries," MPRA Paper 16580, University Library of Munich, Germany.
    67. Michael P. Clements, 2014. "Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets," ICMA Centre Discussion Papers in Finance icma-dp2014-06, Henley Business School, University of Reading.
    68. Sheila Dolmas & Evan F. Koenig & Jeremy M. Piger, 2000. "The use and abuse of \"real-time\" data in economic forecasting," Working Papers 0004, Federal Reserve Bank of Dallas.
    69. Ignacio Martínez, 2021. "Deepening GDP revision analysis: GDP bias breakdown and compositional change," Economic Statistics Series 136, Central Bank of Chile.
    70. Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
    71. Bob Krebs, 2019. "Revisions to Quarterly National Accounts data in Luxembourg," BCL working papers 136, Central Bank of Luxembourg.
    72. Anthony Garratt & Shaun P Vahey, 2006. "UK Real-Time Macro Data Characteristics," Economic Journal, Royal Economic Society, vol. 116(509), pages 119-135, February.
    73. Jacobs, Jan P.A.M. & van Norden, Simon, 2016. "Why are initial estimates of productivity growth so unreliable?," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 200-213.
    74. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72, July.
    75. Dean Croushore & Katherine Marsten, 2016. "Do GDP Forecasts Respond Efficiently to Changes in Interest Rates?," Working Papers 16-17, Federal Reserve Bank of Philadelphia.
    76. Kajal Lahiri & Gultekin Isiklar & Prakash Loungani, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 703-725.
    77. Todd E. Clark & Michael W. McCracken, 2008. "Tests of equal predictive ability with real-time data," Working Papers 2008-029, Federal Reserve Bank of St. Louis.
    78. Sandra Bilek-Steindl & Petra Sauer, 2009. "An Evaluation of Revisions and Quality Aspects of Austrian Quarterly GDP Publications," WIFO Studies, WIFO, number 37201.
    79. Umino, Shingo, 2014. "Real-time estimation of the equilibrium real interest rate: Evidence from Japan," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 17-32.
    80. Baetje, Fabian & Friedrici, Karola, 2016. "Does cross-sectional forecast dispersion proxy for macroeconomic uncertainty? New empirical evidence," Economics Letters, Elsevier, vol. 143(C), pages 38-43.
    81. Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
    82. Troy Matheson & James Mitchell & Brian Silverstone, 2007. "Nowcasting and predicting data revisions in real time using qualitative panel survey data," Reserve Bank of New Zealand Discussion Paper Series DP2007/02, Reserve Bank of New Zealand.
    83. Pasquariello, Paolo & Vega, Clara, 2009. "The on-the-run liquidity phenomenon," Journal of Financial Economics, Elsevier, vol. 92(1), pages 1-24, April.
    84. Juan De Dios Tena & Jorge Dresdner & Iván Araya, 2012. "A Multimarket Approach For Estimating A New Keynesian Phillips Curve," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 20(1), pages 49-68, Spring.
    85. Christiane Baumeister & Lutz Kilian, 2011. "Real-Time Forecasts of the Real Price of Oil," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 326-336, September.
    86. Dennis J. Fixler & Jeremy J. Nalewaik, 2007. "News, noise, and estimates of the \"true\" unobserved state of the economy," Finance and Economics Discussion Series 2007-34, Board of Governors of the Federal Reserve System (U.S.).
    87. Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," PIER Working Paper Archive 11-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    88. Bermingham, Colin, 2006. "A Look at Data Revisions in the Quarterly National Accounts," Quarterly Bulletin Articles, Central Bank of Ireland, pages 93-105, July.
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    90. Chiara Scotti, 2013. "Surprise and uncertainty indexes: real-time aggregation of real-activity macro surprises," International Finance Discussion Papers 1093, Board of Governors of the Federal Reserve System (U.S.).
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    92. Heinisch, Katja, 2016. "A real-time analysis on the importance of hard and soft data for nowcasting German GDP," VfS Annual Conference 2016 (Augsburg): Demographic Change 145864, Verein für Socialpolitik / German Economic Association.
    93. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
    94. Philip Hans Franses, 2009. "Why is GDP typically revised upwards?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(2), pages 125-130, May.
    95. Döpke, Jörg, 2004. "Real-time data and business cycle analysis in Germany," Discussion Paper Series 1: Economic Studies 2004,11, Deutsche Bundesbank.
    96. Döhrn, Roland, 2018. "Revisionen der Volkswirtschaftlichen Gesamtrechnungen: Revisionspraxis des Statistischen Bundesamtes und ihre Auswirkungen auf Prognosen," RWI Materialien 127, RWI - Leibniz-Institut für Wirtschaftsforschung.
    97. Flodberg, Caroline & Österholm, Pär, 2015. "A Statistical Analysis of Revisions of Swedish National Accounts Data," Working Papers 136, National Institute of Economic Research.
    98. Tom Bernhardsen & ØYvind Eitrheim, 2005. "Real-time data for Norway: Output gap revisions and challenges for monetary policy," Computing in Economics and Finance 2005 274, Society for Computational Economics.
    99. Clements, Michael P., 2006. "Internal consistency of survey respondentsíforecasts: Evidence based on the Survey of Professional Forecasters," Economic Research Papers 269742, University of Warwick - Department of Economics.
    100. Clements, Michael P., 2008. "Rounding of probability forecasts: The SPF forecast probabilities of negative output growth," Economic Research Papers 269880, University of Warwick - Department of Economics.
    101. Pierre Siklos, 2006. "What Can We Learn from Comprehensive Data Revisions for Forecasting Inflation: Some US Evidence," Working Papers eg0049, Wilfrid Laurier University, Department of Economics, revised 2006.
    102. Robinson Durán & Evelyn Garrido & Carolina Godoy & Juan de Dios Tena, 2012. "Predicción de la inflación en México con modelos desagregados por componente," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 27(1), pages 133-167.
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    105. William T. Gavin, 2003. "FOMC forecasts: is all the information in the central tendency?," Working Papers 2003-002, Federal Reserve Bank of St. Louis.
    106. Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
    107. Nalewaik, Jeremy J., 2011. "Incorporating vintage differences and forecasts into Markov switching models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 281-307, April.
    108. Thomas A. Knetsch & Hans‐Eggert Reimers, 2009. "Dealing with Benchmark Revisions in Real‐Time Data: The Case of German Production and Orders Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 209-235, April.
    109. Kishor, N. Kundan, 2009. "Data Revisions in India and its Implications for Monetary Policy," MPRA Paper 16099, University Library of Munich, Germany.
    110. Valentina Raponi & Cecilia Frale, 2014. "Revisions in official data and forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 451-472, August.
    111. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do forecasters inform or reassure?," KOF Working papers 09-215, KOF Swiss Economic Institute, ETH Zurich.
    112. Mr. Jens R Clausen & Bianca Clausen, 2010. "Simulating Inflation Forecasting in Real-Time: How Useful Is a Simple Phillips Curve in Germany, the UK, and the US?," IMF Working Papers 2010/052, International Monetary Fund.
    113. Funashima, Yoshito & Iizuka, Nobuo & Ohtsuka, Yoshihiro, 2020. "GDP announcements and stock prices," Journal of Economics and Business, Elsevier, vol. 108(C).
    114. Bernhardsen, Tom & Eitrheim, Oyvind & Jore, Anne Sofie & Roisland, Oistein, 2005. "Real-time data for Norway: Challenges for monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 333-349, December.
    115. Timo Wollmershäuser, 2016. "Vorhersage der Revisionen der Vorratsveränderungen mit Hilfe der ifo Lagerbeurteilung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(07), pages 26-32, April.
    116. Paolo Pasquariello & Clara Vega, 2006. "Informed and strategic order flow in the bond markets," International Finance Discussion Papers 874, Board of Governors of the Federal Reserve System (U.S.).
    117. Cecilia Frale & Valentina Raponi, 2011. "Revisions in ocial data and forecasting," Working Papers LuissLab 1194, Dipartimento di Economia e Finanza, LUISS Guido Carli.
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    119. Nalewaik, Jeremy J., 2011. "Incorporating vintage differences and forecasts into Markov switching models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 281-307.
    120. Dean Croushore, 2008. "Revisions to PCE inflation measures: implications for monetary policy," Working Papers 08-8, Federal Reserve Bank of Philadelphia.
    121. Eva A. Arnold, 2013. "The Role of Data Revisions and Disagreement in Professional Forecasts," Macroeconomics and Finance Series 201303, University of Hamburg, Department of Socioeconomics.
    122. Asimakopoulos, Stylianos & Lalik, Magdalena & Paredes, Joan & Salvado García, José, 2023. "GDP revisions are not cool: the impact of statistical agencies’ trade-off," Working Paper Series 2857, European Central Bank.
    123. J. Steven Landefeld & Eugene P. Seskin & Barbara M. Fraumeni, 2008. "Taking the Pulse of the Economy: Measuring GDP," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 193-216, Spring.
    124. S. Boragan Aruoba, 2008. "Data Revisions Are Not Well Behaved," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2-3), pages 319-340, March.
    125. Robert R Tchaidze, 2001. "Estimating Taylor Rules in a Real Time Setting," Economics Working Paper Archive 457, The Johns Hopkins University,Department of Economics.
    126. Hughes Hallett, Andrew & Bernoth, Kerstin & Lewis, John, 2008. "Did Fiscal Policy Makers Know What They Were Doing? Reassessing Fiscal Policy with Real Time Data," CEPR Discussion Papers 6758, C.E.P.R. Discussion Papers.
    127. Cath Sleeman, 2006. "Analysis of revisions to quarterly GDP - a real-time database," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 69, pages 1-44., March.
    128. S. Boragan Aruoba, 2004. "Data Uncertainty in General Equilibrium," Computing in Economics and Finance 2004 131, Society for Computational Economics.
    129. Bermingham, Colin, 2006. "An Examination of Data Revisions in the Quarterly National Accounts," Research Technical Papers 10/RT/06, Central Bank of Ireland.
    130. Jens Hogrefe, 2008. "Forecasting data revisions of GDP: a mixed frequency approach," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(3), pages 271-296, August.

  52. Jonathan H. Wright, 2000. "Detecting lack of identification in GMM," International Finance Discussion Papers 674, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Nikolay Gospodinov & Raymond Kan & Cesare Robotti, 2017. "Too Good to Be True? Fallacies in Evaluating Risk Factor Models," FRB Atlanta Working Paper 2017-9, Federal Reserve Bank of Atlanta.
    2. Gospodinov, Nikolay & Robotti, Cesare, 2021. "Common pricing across asset classes: Empirical evidence revisited," Journal of Financial Economics, Elsevier, vol. 140(1), pages 292-324.
    3. Morris A. Davis & Jonas D. M. Fisher & Toni M. Whited, 2014. "Macroeconomic Implications of Agglomeration," Econometrica, Econometric Society, vol. 82(2), pages 731-764, March.
    4. Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
    5. Yuya Sasaki & Yulong Wang, 2020. "Testing Finite Moment Conditions for the Consistency and the Root-N Asymptotic Normality of the GMM and M Estimators," Papers 2006.02541, arXiv.org, revised Sep 2020.
    6. Manuel Arellano & Lars Peter Hansen & Enrique Sentana, 2009. "Underidentification? (Resumen)," Working Papers wp2009_0905, CEMFI.
    7. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    8. Canova, Fabio & Sala, Luca, 2006. "Back to square one: identification issues in DSGE models," Working Paper Series 583, European Central Bank.
    9. A. Craig Burnside, 2007. "Empirical Asset Pricing and Statistical Power in the Presence of Weak Risk Factors," NBER Working Papers 13357, National Bureau of Economic Research, Inc.
    10. Francesco Bravo & Federico Crudu, 2012. "Efficient bootstrap with weakly dependent processes," Discussion Papers 12/08, Department of Economics, University of York.
    11. Richard Paap & Frank Kleibergen, 2004. "Generalized Reduced Rank Tests using the Singular Value Decomposition," Econometric Society 2004 Australasian Meetings 195, Econometric Society.
    12. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    13. Manuel Arellano & Lars Peter Hansen & Enrique Sentana, 2009. "Underidentification?," CeMMAP working papers CWP24/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Bolko, Anine E. & Christensen, Kim & Pakkanen, Mikko S. & Veliyev, Bezirgen, 2023. "A GMM approach to estimate the roughness of stochastic volatility," Journal of Econometrics, Elsevier, vol. 235(2), pages 745-778.
    15. Matthijs Lof, 2014. "GMM Estimation with Non-causal Instruments under Rational Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 279-286, April.
    16. Craig Burnside, 2016. "Identification and Inference in Linear Stochastic Discount Factor Models with Excess Returns," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 295-330.
    17. Sophocles Mavroeidis, 2004. "Weak Identification of Forward‐looking Models in Monetary Economics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 609-635, September.
    18. Dovonon, Prosper & Gonçalves, Sílvia, 2017. "Bootstrapping the GMM overidentification test under first-order underidentification," Journal of Econometrics, Elsevier, vol. 201(1), pages 43-71.
    19. Strebulaev, Ilya A. & Whited, Toni M., 2012. "Dynamic Models and Structural Estimation in Corporate Finance," Foundations and Trends(R) in Finance, now publishers, vol. 6(1–2), pages 1-163, November.
    20. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: an Identification Robust Econometric Analysis," CIRANO Working Papers 2005s-30, CIRANO.
    21. Prosper Dovonon & Alastair R. Hall, 2017. "The Asymptotic Properties of GMM and Indirect Inference Under Second-Order Identification," Economics Discussion Paper Series 1705, Economics, The University of Manchester.
    22. Dovonon, Prosper & Hall, Alastair R., 2018. "The asymptotic properties of GMM and indirect inference under second-order identification," Journal of Econometrics, Elsevier, vol. 205(1), pages 76-111.
    23. Amit Gandhi & Jean-François Houde, 2019. "Measuring Substitution Patterns in Differentiated-Products Industries," NBER Working Papers 26375, National Bureau of Economic Research, Inc.
    24. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    25. Sentana, Enrique, 2024. "Finite underidentification," Journal of Econometrics, Elsevier, vol. 240(1).
    26. Gregory Phelan & Alexis Akira Toda, 2015. "On the Robustness of Theoretical Asset Pricing Models," Department of Economics Working Papers 2015-10, Department of Economics, Williams College.
    27. Schäfer Benjamin, 2018. "The Impact of the Crisis and Unconventional Monetary Policy on European Inflation Dynamics: Evidence from a Three-Period Structural Model and Six Countries," Review of Economics, De Gruyter, vol. 69(2), pages 87-110, August.
    28. Djankov, Simeon & Montalvo, Jose G. & Reynal-Querol, Marta, 2009. "Aid with multiple personalities," Journal of Comparative Economics, Elsevier, vol. 37(2), pages 217-229, June.
    29. Rachida Ouysse, 2014. "On the performance of block-bootstrap continuously updated GMM for a class of non-linear conditional moment models," Computational Statistics, Springer, vol. 29(1), pages 233-261, February.
    30. Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
    31. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.
    32. Majid M. Al-Sadoon, 2014. "A general theory of rank testing," Economics Working Papers 1411, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2015.
    33. Forneron, Jean-Jacques, 2024. "Detecting identification failure in moment condition models," Journal of Econometrics, Elsevier, vol. 238(1).
    34. Don S. Poskitt, 2020. "On GMM Inference: Partial Identification, Identification Strength, and Non-Standard," Monash Econometrics and Business Statistics Working Papers 40/20, Monash University, Department of Econometrics and Business Statistics.

  53. Tim Bollerslev & Jonathan H. Wright, 1999. "High frequency data, frequency domain inference and volatility forecasting," International Finance Discussion Papers 649, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas, 2015. "Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 560-573, November.
    2. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    3. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Avdoulas, Christos & Bekiros, Stelios & Boubaker, Sabri, 2016. "Detecting nonlinear dependencies in eurozone peripheral equity markets: A multistep filtering approach," Economic Modelling, Elsevier, vol. 58(C), pages 580-587.
    5. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    6. Thomakos, Dimitrios D. & Wang, Tao, 2003. "Realized volatility in the futures markets," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 321-353, May.
    7. Gil-Alana, Luis A. & Shittu, Olanrewaju I. & Yaya, OlaOluwa S., 2014. "On the persistence and volatility in European, American and Asian stocks bull and bear markets," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 149-162.
    8. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    9. Galbraith, John W. & KI[#x1e63]Inbay, Turgut, 2005. "Content horizons for conditional variance forecasts," International Journal of Forecasting, Elsevier, vol. 21(2), pages 249-260.
    10. Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Econometrics, MDPI, vol. 11(3), pages 1-36, August.
    11. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    12. Majewski, A. A. & Bormetti, G. & Corsi, F., 2013. "Smile from the Past: A general option pricing framework with multiple volatility and leverage components," Working Papers 13/11, Department of Economics, City University London.
    13. Kevin Sheppard & Andrew J. Patton, 2008. "Evaluating Volatility and Correlation Forecasts," Economics Series Working Papers 2008fe22, University of Oxford, Department of Economics.
    14. Timo Terasvirta & Zhenfang Zhao, 2011. "Stylized facts of return series, robust estimates and three popular models of volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 67-94.
    15. Warusawitharana, Missaka, 2018. "Time-varying volatility and the power law distribution of stock returns," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 123-141.
    16. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    17. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
    18. Grossmann, Axel & Love, Inessa & Orlov, Alexei G., 2014. "The dynamics of exchange rate volatility: A panel VAR approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 1-27.
    19. Stavros Degiannakis, 2008. "ARFIMAX and ARFIMAX-TARCH realized volatility modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(10), pages 1169-1180.
    20. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2016. "Intraday return predictability, portfolio maximisation, and hedging," Emerging Markets Review, Elsevier, vol. 28(C), pages 105-116.
    21. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    22. Shusheng Ding & Tianxiang Cui & Yongmin Zhang & Jiawei Li, 2021. "Liquidity effects on oil volatility forecasting: From fintech perspective," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
    23. Luisa Bisaglia & Silvano Bordignon & Francesco Lisi, 2003. "k -Factor GARMA models for intraday volatility forecasting," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 251-254.
    24. François-Éric Racicot & Raymond Théoret & Alain Coën, 2008. "Forecasting Irregularly Spaced UHF Financial Data: Realized Volatility vs UHF-GARCH Models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 112-124, February.
    25. Sarwar, Suleman & Tiwari, Aviral Kumar & Tingqiu, Cao, 2020. "Analyzing volatility spillovers between oil market and Asian stock markets," Resources Policy, Elsevier, vol. 66(C).
    26. Adam Aleksander Majewski & Giacomo Bormetti & Fulvio Corsi, 2014. "Smile from the Past: A general option pricing framework with multiple volatility and leverage components," Papers 1404.3555, arXiv.org.
    27. Andersen, Torben G. & Bollerslev, Tim & Francis X. Diebold,, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," CFS Working Paper Series 2003/35, Center for Financial Studies (CFS).
    28. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    29. Peter R. Hansen & Asger Lunde, 2010. "Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error," CREATES Research Papers 2010-08, Department of Economics and Business Economics, Aarhus University.
    30. Chundakkadan, Radeef & Sasidharan, Subash, 2019. "Liquidity pull-back and predictability of government security yield volatility," Economic Modelling, Elsevier, vol. 77(C), pages 124-132.
    31. Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "Predicting Volatility: Getting the Most out of Return Data Sampled at Different Frequencies," CIRANO Working Papers 2004s-19, CIRANO.
    32. Mostafa R. Sarkandiz, 2023. "Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?," Papers 2302.08897, arXiv.org.
    33. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    34. Jiang, Yonghong & Fu, Yuyuan & Ruan, Weihua, 2019. "Risk spillovers and portfolio management between precious metal and BRICS stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    35. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    36. Mofleh Alshogeathri & Jamel Jouini, 2017. "Linkages Between Equity and Global Food Markets: New Evidence from Including Structural Changes," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(3), pages 166-198, June.
    37. Alfeus, Mesias & Nikitopoulos, Christina Sklibosios, 2022. "Forecasting volatility in commodity markets with long-memory models," Journal of Commodity Markets, Elsevier, vol. 28(C).
    38. Patton, Andrew J., 2011. "Volatility forecast comparison using imperfect volatility proxies," Journal of Econometrics, Elsevier, vol. 160(1), pages 246-256, January.
    39. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    40. Axel Grossmann & Emiliano Giudici & Marc Simpson, 2014. "Euro conversion and return dynamics of European financial markets: a frequency domain approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(1), pages 1-26, January.
    41. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    42. Kuo, Chen-Yin, 2016. "Does the vector error correction model perform better than others in forecasting stock price? An application of residual income valuation theory," Economic Modelling, Elsevier, vol. 52(PB), pages 772-789.
    43. Liu, Min, 2022. "The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 288-309.
    44. Thomas C. Chiang & Jiandong Li, 2012. "Stock Returns and Risk: Evidence from Quantile," JRFM, MDPI, vol. 5(1), pages 1-39, December.
    45. Radovan Parrák, 2013. "The Economic Valuation of Variance Forecasts: An Artificial Option Market Approach," Working Papers IES 2013/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2013.
    46. Xu, Danyang & Hu, Yang & Corbet, Shaen & Hou, Yang (Greg) & Oxley, Les, 2024. "Green bonds and traditional and emerging investments: Understanding connectedness during crises," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    47. Chen, Chun-Hung & Yu, Wei-Choun & Zivot, Eric, 2012. "Predicting stock volatility using after-hours information: Evidence from the NASDAQ actively traded stocks," International Journal of Forecasting, Elsevier, vol. 28(2), pages 366-383.
    48. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    49. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
    50. Majewski, Adam A. & Bormetti, Giacomo & Corsi, Fulvio, 2015. "Smile from the past: A general option pricing framework with multiple volatility and leverage components," Journal of Econometrics, Elsevier, vol. 187(2), pages 521-531.
    51. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    52. Wang, Lu & Zhao, Chenchen & Liang, Chao & Jiu, Song, 2022. "Predicting the volatility of China's new energy stock market: Deep insight from the realized EGARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 48(C).
    53. Liu, Ming-Hua & Margaritis, Dimitris & Zhang, Yang, 2016. "Competition and petrol pricing in the smartphone era: Evidence from Singapore," Economic Modelling, Elsevier, vol. 53(C), pages 144-155.
    54. Jouini, Jamel, 2015. "New empirical evidence from assessing financial market integration, with application to Saudi Arabia," Economic Modelling, Elsevier, vol. 49(C), pages 198-211.
    55. Chun-Hung Chen & Wei-Choun Yu & Eric Zivot, 2009. "Predicting Stock Volatility Using After-Hours Information," Working Papers UWEC-2009-01, University of Washington, Department of Economics.
    56. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.

  54. Jonathan H. Wright, 1999. "A simple approach to robust inference in a cointegrating system," International Finance Discussion Papers 654, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Michael Jansson & Marcelo J. Moreira, 2006. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Econometrica, Econometric Society, vol. 74(3), pages 681-714, May.

  55. Jonathan H. Wright, 1999. "Long memory in emerging market stock returns," International Finance Discussion Papers 650, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Hatgioannides, John & Mesomeris, Spyros, 2007. "On the returns generating process and the profitability of trading rules in emerging capital markets," Journal of International Money and Finance, Elsevier, vol. 26(6), pages 948-973, October.

  56. James H. Stock & Jonathan Wright, 1996. "Asymptotics for GMM Estimators with Weak Instruments," NBER Technical Working Papers 0198, National Bureau of Economic Research, Inc.

    Cited by:

    1. Alastair R. Hall & Fernanda P. M. Peixe, 2003. "A Consistent Method for the Selection of Relevant Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 22(3), pages 269-287, January.
    2. Biorn, Erik & Klette, Tor Jakob, 1998. "Panel data with errors-in-variables: essential and redundant orthogonality conditions in GMM-estimation," Economics Letters, Elsevier, vol. 59(3), pages 275-282, June.

Articles

  1. David O. Lucca & Jonathan H. Wright, 2024. "The Narrow Channel of Quantitative Easing: Evidence from YCC Down Under," Journal of Finance, American Finance Association, vol. 79(2), pages 1055-1085, April.
    See citations under working paper version above.
  2. Drautzburg, Thorsten & Wright, Jonathan H., 2023. "Refining set-identification in VARs through independence," Journal of Econometrics, Elsevier, vol. 235(2), pages 1827-1847.
    See citations under working paper version above.
  3. Hirano, Keisuke & Wright, Jonathan H., 2022. "Analyzing cross-validation for forecasting with structural instability," Journal of Econometrics, Elsevier, vol. 226(1), pages 139-154.

    Cited by:

    1. Skrobotov, Anton, 2024. "Time series forecasting under structural breaks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 76, pages 120-139.

  4. Samuel G Hanson & David O Lucca & Jonathan H Wright, 2021. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1719-1781.
    See citations under working paper version above.
  5. Refet S. Gürkaynak & Burçin Kisacikoğlu & Jonathan H. Wright, 2020. "Missing Events in Event Studies: Identifying the Effects of Partially Measured News Surprises," American Economic Review, American Economic Association, vol. 110(12), pages 3871-3912, December.
    See citations under working paper version above.
  6. Janice C. Eberly & James H. Stock & Jonathan H. Wright, 2020. "The Federal Reserve's Current Framework for Monetary Policy: A Review and Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 16(1), pages 5-71, February.
    See citations under working paper version above.
  7. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.

    Cited by:

    1. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    2. Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2016. "Do Fed Forecast Errors Matter?," Working Papers 2016-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Larson, William D. & Sinclair, Tara M., 2022. "Nowcasting unemployment insurance claims in the time of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 635-647.
    4. Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
    5. Monique Reid & Pierre Siklos, 2021. "The Bureau for Economic Research's inflation expectations surveys: Know your data," Working Papers 10/2021, Stellenbosch University, Department of Economics.
    6. Thu, Le Ha & Leon-Gonzalez, Roberto, 2021. "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, vol. 77(C).

  8. Wright, Jonathan H., 2019. "Comment on “Measuring euro area monetary policy” by Carlo Altavilla, Luca Brugnolini, Refet Gürkaynak, Giuseppe Ragusa and Roberto Motto," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 180-184.

    Cited by:

    1. Blotevogel, Robert & Hudecz, Gergely & Vangelista, Elisabetta, 2024. "Asset purchases and sovereign bond spreads in the euro area during the pandemic," Journal of International Money and Finance, Elsevier, vol. 140(C).
    2. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    3. Martínez-Hernández, Catalina, 2020. "Disentangling the effects of multidimensional monetary policy on inflation and inflation expectations in the euro area," Discussion Papers 2020/18, Free University Berlin, School of Business & Economics.
    4. Goodhead, Robert, 2024. "The economic impact of yield curve compression: Evidence from euro area forward guidance and unconventional monetary policy," European Economic Review, Elsevier, vol. 164(C).
    5. Farinha, Jorge Bento & Vidrago, José, 2021. "The impact of the ECB's asset purchase programme on core and peripheral sovereign yields and its transmission channels," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    6. Andrejs Zlobins, 2021. "On the Time-varying Effects of the ECB's Asset Purchases," Working Papers 2021/02, Latvijas Banka.
    7. Valentin Jouvanceau & Ieva Mikaliunaite, 2020. "Euro Area Monetary Communications: Excess Sensitivity and Perception Shocks," Bank of Lithuania Working Paper Series 79, Bank of Lithuania.
    8. Farinha, Jorge Bento & Vidrago, José, 2021. "The impact of the ECB’s asset purchase programme on euro area equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 270-279.
    9. Luca Fanelli & Antonio Marsi, 2021. "Unconventional Monetary Policy in the Euro Area: A Tale of Three Shocks," Working Papers wp1164, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Fanelli, Luca & Marsi, Antonio, 2022. "Sovereign spreads and unconventional monetary policy in the Euro area: A tale of three shocks," European Economic Review, Elsevier, vol. 150(C).

  9. Jon Faust & Jonathan H. Wright, 2018. "Risk Premia in the 8:30 Economy," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-19, September.

    Cited by:

    1. Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021. "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, vol. 113(C).
    2. Grace Xing Hu & Jun Pan & Jiang Wang & Haoxiang Zhu, 2019. "Premium for Heightened Uncertainty: Explaining Pre-Announcement Market Returns," NBER Working Papers 25817, National Bureau of Economic Research, Inc.
    3. Don H. Kim & Marcelo Ochoa, 2021. "International Yield Spillovers," Finance and Economics Discussion Series 2021-001, Board of Governors of the Federal Reserve System (U.S.).
    4. Smales, L.A., 2021. "Macroeconomic news and treasury futures return volatility: Do treasury auctions matter?," Global Finance Journal, Elsevier, vol. 48(C).

  10. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2018. "Unconventional Monetary Policy and International Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1827-1850, December.
    See citations under working paper version above.
  11. Keisuke Hirano & Jonathan H. Wright, 2017. "Forecasting With Model Uncertainty: Representations and Risk Reduction," Econometrica, Econometric Society, vol. 85, pages 617-643, March.

    Cited by:

    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    2. Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
    3. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    4. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
    5. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    6. Siemsen, Thomas & Vilsmeier, Johannes, 2017. "A stress test framework for the German residential mortgage market: Methodology and application," Discussion Papers 37/2017, Deutsche Bundesbank.
    7. Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 695-746, August.
    8. Keisuke Hirano & Jack R. Porter, 2023. "Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits," Papers 2302.03117, arXiv.org, revised Feb 2025.
    9. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    10. Boot, Tom & Nibbering, Didier, 2019. "Forecasting using random subspace methods," Journal of Econometrics, Elsevier, vol. 209(2), pages 391-406.
    11. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    12. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    13. Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
    14. Benjamin Garcia & Arsenios Skaperdas, 2017. "Inferring the Shadow Rate from Real Activity," Finance and Economics Discussion Series 2017-106, Board of Governors of the Federal Reserve System (U.S.).

  12. Jonathan H. Wright, 2016. "Options-Implied Probability Density Functions for Real Interest Rates," International Journal of Central Banking, International Journal of Central Banking, vol. 12(3), pages 129-149, September.

    Cited by:

    1. Andreas Schrimpf & Semyon Malamud, 2017. "Intermediation Markups and Monetary Policy Passthrough," 2017 Meeting Papers 812, Society for Economic Dynamics.
    2. Maxim Ulrich & Simon Walther, 2020. "Option-implied information: What’s the vol surface got to do with it?," Review of Derivatives Research, Springer, vol. 23(3), pages 323-355, October.

  13. Michael Boldin & Jonathan H. Wright, 2015. "Weather-Adjusting Economic Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 227-278.

    Cited by:

    1. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Charles Fries & François Gourio, 2020. "Adaptation and the Cost of Rising Temperature for the U.S. economy," Working Paper Series WP-2020-08, Federal Reserve Bank of Chicago.
    3. Pinkwart, Nicolas, 2018. "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers 36/2018, Deutsche Bundesbank.
    4. Anna Pauliina Sandqvist & Boriss Siliverstovs, 2021. "Is it good to be bad or bad to be good? Assessing the aggregate impact of abnormal weather on consumer spending," Empirical Economics, Springer, vol. 61(6), pages 3059-3085, December.
    5. Larry Hughes & Moniek Jong & Zach Thorne, 2021. "(De)coupling and (De)carbonizing in the economies and energy systems of the G20," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5614-5639, April.
    6. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects of Disruptions in Global Food Commodity Markets: Evidence for the United States," CESifo Working Paper Series 6193, CESifo.
    7. Liu, Bo & Hirsch, Barry, 2020. "Winter Weather and Work Hours: Heterogeneous Effects and Regional Adaptation," IZA Discussion Papers 13831, Institute of Labor Economics (IZA).
    8. Schreiber, Sven, 2017. "Weather adjustment of economic output," Discussion Papers 2017/5, Free University Berlin, School of Business & Economics.
    9. Avi Goldfarb & Mo Xiao, 2024. "Transitory shocks, limited attention, and a firm’s decision to exit," Quantitative Marketing and Economics (QME), Springer, vol. 22(3), pages 223-255, September.
    10. Bacchiocchi, Emanuele & Bastianin, Andrea & Moramarco, Graziano, 2024. "Macroeconomic Spillovers of Weather Shocks across U.S. States," FEEM Working Papers 343506, Fondazione Eni Enrico Mattei (FEEM).
    11. Schreiber, Sven, 2018. "Weather-induced Short-term Fluctuations of Economic Output," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181622, Verein für Socialpolitik / German Economic Association.
    12. Sultana Zeenat Fouzia & Jianhong Mu & Yong Chen, 2020. "Local labour market impacts of climate-related disasters: a demand-and-supply analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 15(3), pages 336-352, July.

  14. Jonathan H. Wright, 2014. "Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset: Reply," American Economic Review, American Economic Association, vol. 104(1), pages 338-341, January.

    Cited by:

    1. Gianni Amisano & Oreste Tristani, 2019. "Uncertainty Shocks, Monetary Policy and Long-Term Interest Rates," Finance and Economics Discussion Series 2019-024, Board of Governors of the Federal Reserve System (U.S.).
    2. Goliński, Adam, 2021. "Monetary policy at the zero lower bound: Information in the Federal Reserve’s balance sheet," European Economic Review, Elsevier, vol. 131(C).
    3. Halberstadt, Arne, 2021. "Decomposing the yield curve with linear regressions and survey information," Discussion Papers 27/2021, Deutsche Bundesbank.
    4. Juneja, Januj A., 2016. "Financial crises and estimation bias in international bond markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 593-607.
    5. Lloyd, S. P., 2017. "Estimating Nominal Interest Rate Expectations: Overnight Indexed Swaps and the Term Structure," Cambridge Working Papers in Economics 1734, Faculty of Economics, University of Cambridge.
    6. Hakan Berument & Richard T. Froyen, 2015. "Monetary policy and interest rates under inflation targeting in Australia and New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 49(2), pages 171-188, August.
    7. Ichiue, Hibiki & Shimizu, Yuhei, 2015. "Determinants of long-term yields: A panel data analysis of major countries," Japan and the World Economy, Elsevier, vol. 34, pages 44-55.
    8. Luis Ceballos & Alberto Naudon & Damián Romero, 2015. "Nominal Term Structure and Term Premia: Evidence from Chile," Working Papers Central Bank of Chile 752, Central Bank of Chile.
    9. Martin M. Andreasen & Kasper Joergensen & Andrew C. Meldrum, 2019. "Bond Risk Premiums at the Zero Lower Bound," Finance and Economics Discussion Series 2019-040, Board of Governors of the Federal Reserve System (U.S.).
    10. Januj Juneja, 2018. "Empirical performance of Gaussian affine dynamic term structure models in the presence of autocorrelation misspecification bias," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 695-715, April.
    11. Halberstadt, Arne, 2023. "Decomposing the yield curve with linear regressions and survey information," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 25-39.
    12. Geert Bekaert & Eric Engstrom & Andrey Ermolov, 2017. "Macro Risks and the Term Structure of Interest Rates," Finance and Economics Discussion Series 2017-058, Board of Governors of the Federal Reserve System (U.S.).
    13. De Rezende, Rafael B., 2016. "The interest rate effects of government bond purchases away from the lower bound," Working Paper Series 324, Sveriges Riksbank (Central Bank of Sweden).
    14. Alberto Di Iorio & Marco Fanari, 2020. "Break-even inflation rates: the Italian case," Questioni di Economia e Finanza (Occasional Papers) 578, Bank of Italy, Economic Research and International Relations Area.
    15. Sara Cecchetti & Adriana Grasso & Marcello Pericoli, 2022. "An analysis of objective inflation expectations and inflation risk premia," Temi di discussione (Economic working papers) 1380, Bank of Italy, Economic Research and International Relations Area.
    16. Martin Møller Andreasen & Kasper Jørgensen & Andrew Meldrum, 2019. "Bond Risk Premiums at the Zero Lower Bound," CREATES Research Papers 2019-10, Department of Economics and Business Economics, Aarhus University.
    17. Alex Aronovich & Andrew C. Meldrum, 2021. "High-Frequency Estimates of the Natural Real Rate and Inflation Expectations," Finance and Economics Discussion Series 2021-034, Board of Governors of the Federal Reserve System (U.S.).

  15. Dick Dijk & Siem Jan Koopman & Michel Wel & Jonathan H. Wright, 2014. "Forecasting interest rates with shifting endpoints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 693-712, August.
    See citations under working paper version above.
  16. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2014. "Evaluating asset-market effects of unconventional monetary policy: a multi-country review [Uncertainty of interest rate path as a monetary policy instrument]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(80), pages 749-799.

    Cited by:

    1. Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2018. "Effects of US Quantitative Easing on Emerging Market Economies," ADBI Working Papers 803, Asian Development Bank Institute.
    2. Jeanne, Olivier & Son, Jeongwon, 2024. "To what extent are tariffs offset by exchange rates?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    3. Olivier Jeanne, 2020. "To What Extent Are Tariffs Offset by Exchange Rates?," Working Paper Series WP20-1, Peterson Institute for International Economics.
    4. Selva Demiralp & Sharmila King & Chiara Scotti, 2016. "Does Anyone Listen when Politicians Talk? The Effect of Political Commentaries on Policy Rate Decisions and Expectations," Finance and Economics Discussion Series 2016-058, Board of Governors of the Federal Reserve System (U.S.).
    5. Banegas, Ayelen & Montes-Rojas, Gabriel & Siga, Lucas, 2022. "The effects of U.S. monetary policy shocks on mutual fund investing," Journal of International Money and Finance, Elsevier, vol. 123(C).
    6. Albagli, Elias & Ceballos, Luis & Claro, Sebastian & Romero, Damian, 2019. "Channels of US monetary policy spillovers to international bond markets," Journal of Financial Economics, Elsevier, vol. 134(2), pages 447-473.
    7. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," Journal of International Money and Finance, Elsevier, vol. 148(C).
    8. Dedola, Luca & Georgiadis, Georgios & Gräb, Johannes & Mehl, Arnaud, 2018. "Does a big bazooka matter? Central bank balance-sheet policies and exchange rates," Working Paper Series 2197, European Central Bank.
    9. Schrimpf, Paul & Kearns, Jonathan & Ferrari, Massimo, 2017. "Monetary policy's rising FX impact in the era of ultra-low rates," CEPR Discussion Papers 11918, C.E.P.R. Discussion Papers.
    10. Fukuda, Shin-ichi, 2015. "Abenomics: Why was it so successful in changing market expectations?," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 1-20.
    11. Fausch, Jürg & Sigonius, Markus, 2018. "The impact of ECB monetary policy surprises on the German stock market," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 46-63.
    12. Gnabo, Jean-Yves & Soudant, Joey, 2022. "Monetary policy and portfolio rebalancing: Evidence from European equity mutual funds," Journal of Financial Stability, Elsevier, vol. 63(C).
    13. Gustavo Adler & Ms. Carolina Osorio-Buitron, 2017. "Tipping the Scale? The Workings of Monetary Policy through Trade," IMF Working Papers 2017/142, International Monetary Fund.
    14. Douglas L. Campbell & Lester Lusher, 2018. "The Impact of Real Exchange Rate Shocks on Manufacturing Workers: An Autopsy from the MORG," Working Papers w0223, New Economic School (NES).
    15. Michael Hachula & Michele Piffer & Malte Rieth, 2016. "Unconventional Monetary Policy, Fiscal Side Effects and Euro Area (Im)balances," Discussion Papers of DIW Berlin 1596, DIW Berlin, German Institute for Economic Research.
    16. Zheyao Pan, 2018. "A state‐price volatility index for the U.S. government bond market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 573-597, November.
    17. Ben S Bernanke, 2017. "Federal Reserve Policy in an International Context," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 65(1), pages 1-32, April.
    18. Christophe Blot & Caroline Bozou & Jérôme Creel & Paul Hubert, 2021. "Are all Central Bank Asset Purchases the Same? Different Rationales, Different Effects," SciencePo Working papers Main hal-03554141, HAL.
    19. Marinescu, Ion-Iulian & Horobet, Alexandra & Lupu, Radu, 2018. "Dichotomous stock market reaction to episodes of rules and discretion in the US monetary policy," Economic Modelling, Elsevier, vol. 70(C), pages 56-66.
    20. Christophe Blot & Paul Hubert & Jérôme Creel & Caroline Bozou, 2023. "The conditionality of monetary policy instruments," Working Papers hal-04159848, HAL.
    21. Atsushi Inoue & Barbara Rossi, 2019. "A New Approach to Measuring Economic Policy Shocks, with an Application to Conventional and Unconventional Monetary Policy," Working Papers 1082, Barcelona School of Economics.
    22. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    23. Julian di Giovanni & John Rogers, 2024. "The Impact of U.S. Monetary Policy on Foreign Firms," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 58-115, March.
    24. De Santis, Roberto A., 2020. "Impact of the Asset Purchase Programme on euro area government bond yields using market news," Economic Modelling, Elsevier, vol. 86(C), pages 192-209.
    25. John D. Burger & Francis E. Warnock & Veronica Cacdac Warnock, 2017. "Currency Matters: Analyzing International Bond Portfolios," NBER Working Papers 23175, National Bureau of Economic Research, Inc.
    26. Massimo Guidolin & Manuela Pedio, 2019. "Does the Cost of Private Debt Respond to Monetary Policy? Heteroskedasticity-Based Identification in a Model with Regimes," BAFFI CAREFIN Working Papers 19118, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    27. Arnold, Ivo J.M. & Soederhuizen, Beau, 2018. "Bank stability and refinancing operations during the crisis: Which way causality?," Research in International Business and Finance, Elsevier, vol. 43(C), pages 79-89.
    28. Zbyněk Revenda & Markéta Arltová, 2022. "Akcie, zlato a inflace - vztahy a souvislosti v posledních 25 letech [Stocks, Gold and Inflation - Relationships and Contexts Over the Last 25 Years]," Politická ekonomie, Prague University of Economics and Business, vol. 2022(3), pages 288-311.
    29. Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2019. "Risk endogeneity at the lender/investor-of-last-resort," Working Paper Series 2225, European Central Bank.
    30. Bubeck, Johannes & Habib, Maurizio Michael & Manganelli, Simone, 2018. "The portfolio of euro area fund investors and ECB monetary policy announcements," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 103-126.
    31. C. Bora Durdu & Alex Martin & Ilknur Zer, 2020. "The Role of US Monetary Policy in Banking Crises Across the World," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(1), pages 66-107, March.
    32. Hiroyuki Kubota & Mototsugu Shintani, 2022. "High-frequency identification of monetary policy shocks in Japan," The Japanese Economic Review, Springer, vol. 73(3), pages 483-513, July.
    33. Mariko Tanaka & Shin-ichi Fukuda, 2019. "Spillover Effects of Asian Financial Markets on the Global Markets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 15(1), pages 151-174, July.
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    36. Ayelen Banegas & Gabriel Montes-Rojas & Lucas Siga, 2016. "Mutual Fund Flows, Monetary Policy and Financial Stability," Finance and Economics Discussion Series 2016-071, Board of Governors of the Federal Reserve System (U.S.).
    37. Miranda-Agrippino, Silvia, 2016. "Unsurprising shocks: information, premia, and the monetary transmission," Bank of England working papers 626, Bank of England.
    38. Elien Meuleman & Rudi Vander Vennet, 2020. "Macroprudential policy, monetary policy and Eurozone bank risk," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/1004, Ghent University, Faculty of Economics and Business Administration.
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    41. Maximilian Böck & Martin Feldkircher & Pierre L. Siklos, 2021. "International Effects of Euro Area Forward Guidance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1066-1110, October.
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    44. Feiyan Zhang & Dewen Chen, 2019. "The short-term spillover effects of the Fed on Chinese financial market The overshooting model or the portfolio balance theory," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(5), pages 1-5.
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    50. Hsu, Feng-Jui & Chen, Sheng-Hung, 2021. "US quantitative easing and firm’s default risk: The role of Corporate Social Responsibility (CSR)," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 650-664.
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    61. Mistak, Jakub & Ozkan, F. Gulcin, 2024. "Asymmetric monetary policy spillovers: the role of supply chains, credit networks and fear of floating," Working Paper Series 2995, European Central Bank.
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    65. Zhou, Siwen, 2018. "Measuring the Signaling Effect of the ECB’s Asset Purchase Programme at the Effective Lower Bound," MPRA Paper 87084, University Library of Munich, Germany.
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    68. Fausto Pacicco & Luigi Vena & Andrea Venegoni, 2017. "Market Reactions to ECB Policy Innovations: A Cross-Country Analysis," LIUC Papers in Economics 2017-4, Cattaneo University (LIUC).
    69. Rongrong Sun, 2018. "Monetary Policy Announcements and Market Interest Rates Response: Evidence from China," CFDS Discussion Paper Series 2018/5, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
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  18. Refet S. Gürkaynak & Jonathan H. Wright, 2013. "Identification and Inference Using Event Studies," Manchester School, University of Manchester, vol. 81, pages 48-65, September.
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  19. Jonathan H. Wright, 2013. "Evaluating Real‐Time Var Forecasts With An Informative Democratic Prior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 762-776, August.
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  20. Min Wei & Jonathan H. Wright, 2013. "Reverse Regressions And Long‐Horizon Forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(3), pages 353-371, April.

    Cited by:

    1. Chernov, Mikhail & Bauer, Michael, 2021. "Interest Rate Skewness and Biased Beliefs," CEPR Discussion Papers 16274, C.E.P.R. Discussion Papers.
    2. Faten Ben Bouheni & Manish Tewari, 2023. "Common risk factors and risk–return trade-off for REITs and treasuries," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 374-395, September.
    3. Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
    4. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    5. Kostakis, Alexandros & Magdalinos, Tassos & Stamatogiannis, Michalis P., 2023. "Taking stock of long-horizon predictability tests: Are factor returns predictable?," Journal of Econometrics, Elsevier, vol. 237(2).
    6. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    7. Jiang, Zhengyang, 2021. "US Fiscal cycle and the dollar," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 91-106.
    8. Tobias Adrian & Richard K. Crump & Erik Vogt, 2019. "Nonlinearity and Flight‐to‐Safety in the Risk‐Return Trade‐Off for Stocks and Bonds," Journal of Finance, American Finance Association, vol. 74(4), pages 1931-1973, August.
    9. Bansal, Naresh & Stivers, Chris, 2022. "Bond risk’s role in the equity risk-return tradeoff," Journal of Financial Markets, Elsevier, vol. 60(C).
    10. Bretscher, Lorenzo & Hsu, Alex & Tamoni, Andrea, 2020. "Fiscal policy driven bond risk premia," Journal of Financial Economics, Elsevier, vol. 138(1), pages 53-73.
    11. Richard K. Crump & Nikolay Gospodinov, 2019. "Deconstructing the yield curve," Staff Reports 884, Federal Reserve Bank of New York.
    12. Andrea Berardi & Michael Markovich & Alberto Plazzi & Andrea Tamoni, 2019. "Mind the (Convergence) Gap: Bond Predictability Strikes Back!," Swiss Finance Institute Research Paper Series 19-52, Swiss Finance Institute.
    13. Jing-Zhi Huang & Zhan Shi, 2023. "Machine-Learning-Based Return Predictors and the Spanning Controversy in Macro-Finance," Management Science, INFORMS, vol. 69(3), pages 1780-1804, March.

  21. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1120-1154, December.
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  22. Jon Faust & Simon Gilchrist & Jonathan H. Wright & Egon Zakrajšsek, 2013. "Credit Spreads as Predictors of Real-Time Economic Activity: A Bayesian Model-Averaging Approach," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1501-1519, December.
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  23. Jonathan H. Wright, 2013. "Unseasonal Seasonals?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(2 (Fall)), pages 65-126.

    Cited by:

    1. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
    2. Higgins, Patrick & Zha, Tao & Zhong, Wenna, 2016. "Forecasting China's economic growth and inflation," China Economic Review, Elsevier, vol. 41(C), pages 46-61.
    3. Lahiri, Kajal & Yin, Yimeng, 2024. "Seasonality in U.S. disability applications, labor market, and the pandemic echoes," Labour Economics, Elsevier, vol. 87(C).
    4. Gabriel P. Mathy, 2018. "Hysteresis and persistent long-term unemployment: the American Beveridge Curve of the Great Depression and World War II," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(1), pages 127-152, January.

  24. Kitsul, Yuriy & Wright, Jonathan H., 2013. "The economics of options-implied inflation probability density functions," Journal of Financial Economics, Elsevier, vol. 110(3), pages 696-711.
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  25. Jennie Bai & Eric Ghysels & Jonathan H. Wright, 2013. "State Space Models and MIDAS Regressions," Econometric Reviews, Taylor & Francis Journals, vol. 32(7), pages 779-813, October.

    Cited by:

    1. Hale, Galina & Lopez, Jose A., 2019. "Monitoring banking system connectedness with big data," Journal of Econometrics, Elsevier, vol. 212(1), pages 203-220.
    2. Ghysels, Eric & Ozkan, Nazire, 2015. "Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1009-1020.
    3. Carl Bonham & Peter Fuleky & James Jones & Ashley Hirashima, 2015. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 2015-13R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2016.
    4. Nuttanan Wichitaksorn, 2020. "Analyzing and Forecasting Thai Macroeconomic Data using Mixed-Frequency Approach," PIER Discussion Papers 146, Puey Ungphakorn Institute for Economic Research.
    5. Li, Dongxin & Zhang, Li & Li, Lihong, 2023. "Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 88(C).
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    1. Jin-Huei Yeh & Jying-Nan Wang & Chung-Ming Kuan, 2014. "A noise-robust estimator of volatility based on interquantile ranges," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 751-779, November.
    2. Lian, Yu-Min & Chen, Jun-Home & Liao, Szu-Lang, 2021. "Cojump risks and their impacts on option pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 399-410.
    3. Philippe Mueller & Andrea Vedolin & Hao Zhou, 2019. "Short-Run Bond Risk Premia," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-34, September.
    4. Li, Shaoyu & Huang, Henry H. & Zhang, Teng, 2020. "Generalized affine transform on pricing quanto range accrual note," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Sévi, Benoît, 2015. "Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps," Economic Modelling, Elsevier, vol. 44(C), pages 243-251.
    6. Li, Junye, 2011. "Volatility components, leverage effects, and the return-volatility relations," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1530-1540, June.
    7. Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
    8. Ferstl, Robert & Weissensteiner, Alex, 2009. "Asset-Liability Management under time-varying Investment Opportunities," MPRA Paper 15068, University Library of Munich, Germany.
    9. Rıza Demirer & Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2017. "Time-Varying Rare Disaster Risks, Oil Returns and Volatility," Working Papers 201762, University of Pretoria, Department of Economics.
    10. Mirco Rubin & Dario Ruzzi, 2020. "Equity tail risk in the treasury bond market," Temi di discussione (Economic working papers) 1311, Bank of Italy, Economic Research and International Relations Area.
    11. Fleming, Jeff & Kirby, Chris, 2011. "Long memory in volatility and trading volume," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1714-1726, July.
    12. Rui Liu, 2019. "Forecasting Bond Risk Premia with Unspanned Macroeconomic Information," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-62, March.
    13. Chan, Kam Fong & Powell, John G. & Treepongkaruna, Sirimon, 2014. "Currency jumps and crises: Do developed and emerging market currencies jump together?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 132-157.
    14. Joyce, Michael & Lildholdt, Peter & Sorensen, Steffen, 2009. "Extracting inflation expectations and inflation risk premia from the term structure: a joint model of the UK nominal and real yield curves," Bank of England working papers 360, Bank of England.
    15. Liu, Wenwen & Zhang, Chang & Qiao, Gaoxiu & Xu, Lei, 2022. "Impact of network investor sentiment and news arrival on jumps," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
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    20. Malkhozov, Aytek & Mueller, Philippe & Vedolin, Andrea & Venter, Gyuri, 2013. "Mortgage hedging in fixed income markets," LSE Research Online Documents on Economics 119032, London School of Economics and Political Science, LSE Library.
    21. Boudt, Kris & Petitjean, Mikael, 2014. "Intraday liquidity dynamics and news releases around price jumps: Evidence from the DJIA stocks," Journal of Financial Markets, Elsevier, vol. 17(C), pages 121-149.
    22. Lian, Yu-Min & Chen, Jun-Home, 2020. "Joint dynamic modeling and option pricing in incomplete derivative-security market," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    23. Han, Seung-Oh & Huh, Sahn-Wook & Park, Jeayoung, 2023. "Detecting jumps amidst prevalent zero returns: Evidence from the U.S. Treasury securities," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 276-307.
    24. Yin, Ximing & Yang, Ge, 2024. "Instantaneous volatility of the yield curve, variance risk premium and bond return predictability," Journal of Empirical Finance, Elsevier, vol. 77(C).
    25. Erdemlioglu, Deniz & Petitjean, Mikael & Vargas, Nicolas, 2021. "Market Instability and Technical Trading at High Frequency: Evidence from NASDAQ Stocks," LIDAM Reprints LFIN 2021016, Université catholique de Louvain, Louvain Finance (LFIN).
    26. Benoît Sévi & César Baena, 2012. "A reassessment of the risk-return tradeoff at the daily horizon," Economics Bulletin, AccessEcon, vol. 32(1), pages 190-203.
    27. Zhang, Zehua & Zhao, Ran, 2023. "Good volatility, bad volatility, and the cross section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 89(C).
    28. Hua, Jian & Manzan, Sebastiano, 2013. "Forecasting the return distribution using high-frequency volatility measures," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4381-4403.
    29. Fricke, Christoph & Menkhoff, Lukas, 2015. "Financial conditions, macroeconomic factors and disaggregated bond excess returns," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 80-94.
    30. Hassan Zada & Huma Maqsood & Shakeel Ahmed & Muhammad Zeb Khan, 2023. "Information shocks, market returns and volatility: a comparative analysis of developed equity markets in Asia," SN Business & Economics, Springer, vol. 3(1), pages 1-22, January.
    31. Sekkel, Rodrigo, 2011. "International evidence on bond risk premia," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 174-181, January.
    32. Evans, Kevin P., 2011. "Intraday jumps and US macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2511-2527, October.
    33. Anupam Dutta & Elie Bouri & David Roubaud, 2021. "Modelling the volatility of crude oil returns: Jumps and volatility forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 889-897, January.
    34. Andrade, Sandro C. & Barrett, W. Brian, 2011. "Can broker-dealer client surveys provide signals for debt investing?," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1170-1178, May.
    35. Fricke, Christoph & Menkhoff, Lukas, 2014. "Financial conditions, macroeconomic factors and (un)expected bond excess returns," Discussion Papers 35/2014, Deutsche Bundesbank.
    36. Xin Yang & Shan Chen & Hong Liu & Xiaoguang Yang & Chuangxia Huang, 2023. "Jump volatility spillover network based measurement of systemic importance of Chinese financial institutions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1201-1213, April.
    37. Bulkley, George & Harris, Richard D.F. & Nawosah, Vivekanand, 2011. "Revisiting the expectations hypothesis of the term structure of interest rates," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1202-1212, May.
    38. Huang, Darien & Schlag, Christian & Shaliastovich, Ivan & Thimme, Julian, 2018. "Volatility-of-volatility risk," SAFE Working Paper Series 210, Leibniz Institute for Financial Research SAFE.
    39. Zhou, Haigang & Zhu, John Qi, 2019. "Firm characteristics and jump dynamics in stock prices around earnings announcements," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    40. Hassan Zada & Arshad Hassan & Wing-Keung Wong, 2021. "Do Jumps Matter in Both Equity Market Returns and Integrated Volatility: A Comparison of Asian Developed and Emerging Markets," Economies, MDPI, vol. 9(2), pages 1-26, June.
    41. Olesya V. Grishchenko & Zhaogang Song & Hao Zhou, 2015. "Term Structure of Interest Rates with Short-run and Long-run Risks," Finance and Economics Discussion Series 2015-95, Board of Governors of the Federal Reserve System (U.S.).
    42. Kent Wang & Yuqiang Guo, 2014. "Predictability of time-varying jump premiums: Evidence based on calibration," Australian Journal of Management, Australian School of Business, vol. 39(3), pages 369-394, August.
    43. Lian, Yu-Min & Chen, Jun-Home & Liao, Szu-Lang, 2024. "Pricing derivatives on foreign assets using Markov-modulated cojump-diffusion dynamics," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 503-519.
    44. Jang, Bong-Gyu & Yoon, Ji Hee, 2010. "Analytic valuation formulas for range notes and an affine term structure model with jump risks," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2132-2145, September.
    45. Da Fonseca, José & Ignatieva, Katja & Ziveyi, Jonathan, 2016. "Explaining credit default swap spreads by means of realized jumps and volatilities in the energy market," Energy Economics, Elsevier, vol. 56(C), pages 215-228.
    46. Benoît Sévi, 2013. "An empirical analysis of the downside risk-return trade-off at daily frequency," Post-Print hal-01500860, HAL.
    47. Mirco Rubin & Dario Ruzzi, 2020. "Equity Tail Risk in the Treasury Bond Market," Papers 2007.05933, arXiv.org.
    48. Giacomo Bormetti & Lucio Maria Calcagnile & Michele Treccani & Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2015. "Modelling systemic price cojumps with Hawkes factor models," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1137-1156, July.
    49. Fricke, Christoph, 2012. "Expected and unexpected bond excess returns: Macroeconomic and market microstructure effects," Hannover Economic Papers (HEP) dp-493, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    50. Lin-Yee Hin & Nikolai Dokuchaev, 2016. "Short Rate Forecasting Based On The Inference From The Cir Model For Multiple Yield Curve Dynamics," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-33, March.
    51. Jae Young Jang & Min Jae Park, 2019. "A Study on Global Investors’ Criteria for Investment in the Local Currency Bond Markets Using AHP Methods: The Case of the Republic of Korea," Risks, MDPI, vol. 7(4), pages 1-20, October.
    52. Duan, Jin-Chuan & Yeh, Chung-Ying, 2010. "Jump and volatility risk premiums implied by VIX," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2232-2244, November.
    53. Cui, Jing & Zhao, Hua, 2015. "Intraday jumps in China's Treasury bond market and macro news announcements," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 211-223.
    54. Joslin, Scott & Konchitchki, Yaniv, 2018. "Interest rate volatility, the yield curve, and the macroeconomy," Journal of Financial Economics, Elsevier, vol. 128(2), pages 344-362.
    55. Zhu, Xiaoneng, 2015. "Out-of-sample bond risk premium predictions: A global common factor," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 155-173.
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    58. Chen, XiaoHua & Maringer, Dietmar, 2011. "Detecting time-variation in corporate bond index returns: A smooth transition regression model," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 95-103, January.
    59. Huang, Henry H. & Wang, Kent & Wang, Zhanglong, 2016. "A test of efficiency for the S&P 500 index option market using the generalized spectrum method," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 52-70.
    60. Christos Ioannidis & Kook Ka, 2021. "Economic Policy Uncertainty and Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1479-1522, September.

  36. Alain P. Chaboud & Sergey V. Chernenko & Jonathan H. Wright, 2008. "Trading Activity and Macroeconomic Announcements in High-Frequency Exchange Rate Data," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 589-596, 04-05.

    Cited by:

    1. Chaboud, Alain P. & Chiquoine, Benjamin & Hjalmarsson, Erik & Loretan, Mico, 2010. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 212-240, March.
    2. Andreas M. Fischer & Angelo Ranaldo, 2008. "Does FOMC News Increase Global FX Trading?," Working Papers 2008-09, Swiss National Bank.
    3. Chien-Hsiu Lin & Shih-Kuei Lin & An-Chi Wu, 2015. "Foreign exchange option pricing in the currency cycle with jump risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 755-789, May.
    4. Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015. "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 116-141.
    5. Domenico Ferraro & Kenneth S. Rogoff & Barbara Rossi, 2012. "Can Oil Prices Forecast Exchange Rates?," NBER Working Papers 17998, National Bureau of Economic Research, Inc.
    6. Tim Bollerslev & Jia Li & Yuan Xue, 2018. "Volume, Volatility, and Public News Announcements," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2005-2041.
    7. Christopher J. Neely, 2011. "A survey of announcement effects on foreign exchange volatility and jumps," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 361-385.
    8. Andrey G. Shulgin, 2017. "A Simple Theoretical Setup for the Evaluation of Sterilized Intervention Effectiveness in a Small Open Commodity Exporting Economy," HSE Working papers WP BRP 170/EC/2017, National Research University Higher School of Economics.
    9. Takatoshi Ito & Kenta Yamada & Misako Takayasu & Hideki Takayasu, 2020. "Execution Risk and Arbitrage Opportunities in the Foreign Exchange Markets," NBER Working Papers 26706, National Bureau of Economic Research, Inc.
    10. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    11. Ben Omrane, Walid & Heinen, Andréas, 2010. "Public news announcements and quoting activity in the Euro/Dollar foreign exchange market," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2419-2431, November.
    12. Carlo Rosa, 2016. "Fedspeak: Who Moves U.S. Asset Prices?," International Journal of Central Banking, International Journal of Central Banking, vol. 12(4), pages 223-261, December.
    13. Christoph S. Weber, 2017. "The Effect of Central Bank Transparency on Exchange Rate Volatility," Working Papers 174, Bavarian Graduate Program in Economics (BGPE).
    14. Gençay, Ramazan & Gradojevic, Nikola, 2013. "Private information and its origins in an electronic foreign exchange market," Economic Modelling, Elsevier, vol. 33(C), pages 86-93.
    15. Carlo Rosa, 2013. "The financial market effect of FOMC minutes," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 67-81.
    16. Doojin Ryu & Robert I. Webb & Jinyoung Yu, 2023. "Who pays the liquidity cost? Central bank announcements and adverse selection," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 904-924, July.
    17. Huang, Wenqian & Ranaldo, Angelo & Schrimpf, Andreas & Somogyi, Fabricius, 2022. "Constrained Dealers and Market Efficiency," VfS Annual Conference 2022 (Basel): Big Data in Economics 264054, Verein für Socialpolitik / German Economic Association.

  37. Berger, David W. & Chaboud, Alain P. & Chernenko, Sergey V. & Howorka, Edward & Wright, Jonathan H., 2008. "Order flow and exchange rate dynamics in electronic brokerage system data," Journal of International Economics, Elsevier, vol. 75(1), pages 93-109, May.
    See citations under working paper version above.
  38. Faust, Jon & Wright, Jonathan H., 2008. "Efficient forecast tests for conditional policy forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 293-303, October.

    Cited by:

    1. John C. Bluedorn & Christopher Bowdler & Christoffer Koch, 2017. "Heterogeneous Bank Lending Responses to Monetary Policy: New Evidence from a Real-Time Identification," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 95-149, February.
    2. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.
    3. Malte Knüppel & Guido Schultefrankenfeld, 2017. "Interest rate assumptions and predictive accuracy of central bank forecasts," Empirical Economics, Springer, vol. 53(1), pages 195-215, August.
    4. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    5. Arai, Natsuki & Iizuka, Nobuo & Yamamoto, Yohei, 2022. "The Efficiency of the Government’s Revenue Projections," Discussion paper series HIAS-E-122, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    6. Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).
    7. Chanont Banternghansa & Michael W. McCracken, 2009. "Forecast disagreement among FOMC members," Working Papers 2009-059, Federal Reserve Bank of St. Louis.
    8. Robert P. Lieli & Augusto Nieto-Barthaburu, 2023. "Forecasting with Feedback," Papers 2308.15062, arXiv.org, revised Aug 2024.
    9. Andrew J. Patton & Allan Timmermann, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17, June.
    10. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    11. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    12. John C. Bluedorn & Christopher Bowdler, 2010. "The Empirics of International Monetary Transmission: Identification and the Impossible Trinity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 679-713, June.
    13. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    14. Sylvia Kaufmann & Peter Kugler, 2010. "A monetary real-time conditional forecast of euro area inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 388-405.
    15. João Valle e Azevedo, 2011. "Rational vs. professional forecasts," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    16. G. Kontogeorgos & K. Lambrias, 2022. "Evaluating the Eurosystem/ECB staff macroeconomic projections: The first 20 years," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 213-229, March.
    17. Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019. "Mind the gap: A multi-country BVAR benchmark for the Eurosystem projections," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1658-1668.
    18. Paul Hubert, 2010. "Monetary policy, imperfect information and the expectations channel [Politique monétaire,information imparfaite et canal des anticipations]," SciencePo Working papers Main tel-04095385, HAL.
    19. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    20. Thomas L. Hogan, 2022. "The calculus of dissent: Bias and diversity in FOMC projections," Public Choice, Springer, vol. 191(1), pages 105-135, April.
    21. Andrew C. Chang, 2018. "The Fed's Asymmetric Forecast Errors," Finance and Economics Discussion Series 2018-026, Board of Governors of the Federal Reserve System (U.S.).
    22. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    23. Paul Hubert, 2015. "Do Central Bank forecasts influence private agents? Forecasting Performance vs. Signals," Post-Print hal-03399242, HAL.
    24. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.
    25. Chen, Chaoyi & Gospodinov, Nikolay & Maynard, Alex & Pesavento, Elena, 2022. "Long-horizon stock valuation and return forecasts based on demographic projections," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 190-215.
    26. Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.

  39. Wright, Jonathan H., 2008. "Bayesian Model Averaging and exchange rate forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 329-341, October.
    See citations under working paper version above.
  40. Gurkaynak, Refet S. & Sack, Brian & Wright, Jonathan H., 2007. "The U.S. Treasury yield curve: 1961 to the present," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2291-2304, November.
    See citations under working paper version above.
  41. David K. Backus & Jonathan H. Wright, 2007. "Cracking the Conundrum," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 38(1), pages 293-329.
    See citations under working paper version above.
  42. Faust, Jon & Rogers, John H. & Wang, Shing-Yi B. & Wright, Jonathan H., 2007. "The high-frequency response of exchange rates and interest rates to macroeconomic announcements," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1051-1068, May.
    See citations under working paper version above.
  43. Chaboud, Alain P. & Wright, Jonathan H., 2005. "Uncovered interest parity: it works, but not for long," Journal of International Economics, Elsevier, vol. 66(2), pages 349-362, July.
    See citations under working paper version above.
  44. Faust, Jon & Rogers, John H & Wright, Jonathan H, 2005. "News and Noise in G-7 GDP Announcements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 403-419, June.
    See citations under working paper version above.
  45. Faust, Jon & Swanson, Eric T. & Wright, Jonathan H., 2004. "Identifying VARS based on high frequency futures data," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1107-1131, September.
    See citations under working paper version above.
  46. Faust Jon & Swanson Eric T & Wright Jonathan H, 2004. "Do Federal Reserve Policy Surprises Reveal Superior Information about the Economy?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-31, October.

    Cited by:

    1. Kwamie Dunbar, 2008. "The Impact of the FOMC's Monetary Policy Actions on the growth of Credit Risk: the Monetary Policy - Liquidity Paradox," Working papers 2008-05, University of Connecticut, Department of Economics.
    2. Gorodnichenko, Y & Coibion, O, 2016. "How inertial is monetary policy? implications for the fed’s exit strategy," Department of Economics, Working Paper Series qt2qc6f09b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Andreas Neuhierl & Michael Weber, 2020. "Monetary Momentum," Working Papers 2020-39, Becker Friedman Institute for Research In Economics.
    4. Chan, Kam Fong & Bowman, Robert G. & Neely, Christopher J., 2017. "Systematic cojumps, market component portfolios and scheduled macroeconomic announcements," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 43-58.
    5. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    6. Calvin He, 2021. "Monetary Policy, Equity Markets and the Information Effect," RBA Research Discussion Papers rdp2021-04, Reserve Bank of Australia.
    7. B. Onur Tas, 2012. "Why does the Federal Reserve Forecast Inflation Better than Everyone Else?," Working Papers 1207, TOBB University of Economics and Technology, Department of Economics.
    8. Kramkov, Viacheslav & Maksimov, Andrey, 2024. "Monetary surprises and term structure of interest rates: Identification through heteroscedasticity," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 74, pages 5-34.
    9. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    10. Thealexa Becker & Andrew Lee Smith, 2015. "Has Forward Guidance Been Effective?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 57-78.
    11. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    12. D'Agostino, A & Whelan, K, 2007. "Federal Reserve Information During the Great Moderation," MPRA Paper 6092, University Library of Munich, Germany.
    13. Patrice T. Robitaille & Jennifer E. Roush, 2006. "How do FOMC actions and U.S. macroeconomic data announcements move Brazilian sovereign yield spreads and stock prices?," International Finance Discussion Papers 868, Board of Governors of the Federal Reserve System (U.S.).
    14. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    15. Gamber, Edward N. & Smith, Julie K. & McNamara, Dylan C., 2014. "Where is the Fed in the distribution of forecasters?," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 296-312.
    16. Hubert, Paul & Labondance, Fabien, 2021. "The signaling effects of central bank tone," European Economic Review, Elsevier, vol. 133(C).
    17. Ali Ozdagli & Michael Weber & Michael Weber, 2017. "Monetary Policy through Production Networks: Evidence from the Stock Market," CESifo Working Paper Series 6486, CESifo.
    18. Sophocles N. Brissimis & Nicholas S. Magginas, 2008. "Inflation Forecasts and the New Keynesian Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 1-22, June.
    19. Faust, Jon & Wright, Jonathan H., 2008. "Efficient forecast tests for conditional policy forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 293-303, October.
    20. Lakdawala, Aeimit & Schaffer, Matthew, 2019. "Federal reserve private information and the stock market," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 34-49.
    21. Elmar Mertens, 2010. "Managing beliefs about monetary policy under discretion," Finance and Economics Discussion Series 2010-11, Board of Governors of the Federal Reserve System (U.S.).
    22. Andreas Neuhierl & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," NBER Working Papers 22831, National Bureau of Economic Research, Inc.
    23. Chunya Bu & John Rogers & Wenbin Wu, 2019. "A Unified Measure of Fed Monetary Policy Shocks," Finance and Economics Discussion Series 2019-043, Board of Governors of the Federal Reserve System (U.S.).
    24. Abdullah Mamun & M. Kabir Hassan, 2014. "What explains the lack of monetary policy influence on bank holding companies?," Review of Financial Economics, John Wiley & Sons, vol. 23(4), pages 227-235, November.
    25. Benjamin Gardner & Chiara Scotti & Clara Vega, 2021. "Words Speak as Loudly as Actions: Central Bank Communication and the Response of Equity Prices to Macroeconomic Announcements," Finance and Economics Discussion Series 2021-074, Board of Governors of the Federal Reserve System (U.S.).
    26. Neuhierl, Andreas & Weber, Michael, 2019. "Monetary policy communication, policy slope, and the stock market," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 140-155.
    27. Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
    28. Paul Hubert & Fabien Labondance, 2020. "Central Bank Tone and the Dispersion of Views within Monetary Policy Committees," Documents de Travail de l'OFCE 2020-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    29. Refet Gurkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," Macroeconomics 0504013, University Library of Munich, Germany.
    30. Paul Hubert, 2009. "An Empirical Review of Federal Reserve’s Informational Advantage," Documents de Travail de l'OFCE 2009-03, Observatoire Francais des Conjonctures Economiques (OFCE).
    31. Seung Kwak, 2022. "How Does Monetary Policy Affect Prices of Corporate Loans?," Finance and Economics Discussion Series 2022-008, Board of Governors of the Federal Reserve System (U.S.).
    32. Kishor N. Kundan, 2010. "The Superiority of Greenbook Forecasts and the Role of Recessions," NBP Working Papers 74, Narodowy Bank Polski.
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    1047. Shizuka Sekita & Vikas Kakkar & Masao Ogaki, 2018. "Wealth, Financial Literacy and Behavioral Biases: Evidence from Japan," Keio-IES Discussion Paper Series 2018-023, Institute for Economics Studies, Keio University.
    1048. Doko Tchatoka, Firmin, 2012. "Testing for partial exogeneity with weak identification," Working Papers 14565, University of Tasmania, Tasmanian School of Business and Economics, revised 31 May 2012.
    1049. Armagan Tuna Aktuna-Gunes & Christophe Starzec & François Gardes, 2014. "A New Estimation Of The Size Of Informal Economy Using Monetary And Full Expenditures In A Complete Demand System [Une évaluation de la taille de l'économie informelle par un système complet de dem," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01307146, HAL.
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    1051. Claudio Nuber & Patrick Velte, 2021. "Board gender diversity and carbon emissions: European evidence on curvilinear relationships and critical mass," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 1958-1992, May.
    1052. Pereira, Mariano & Tacsir, Ezequiel, 2019. "Who has been driving the creation of industrial employment in Argentina? An analysis of the role of innovation," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    1053. Aoki, Yu & Santiago, Lualhati, 2024. "Where to live? English proficiency and residential location of UK migrants," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 73-93.
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    1055. B. Garbinti, 2014. "Do Gifts and Bequests Facilitate Homeownership and Firm Creation?," Documents de Travail de l'Insee - INSEE Working Papers g2014-02, Institut National de la Statistique et des Etudes Economiques.
    1056. Purevdorj Tuvaandorj, 2021. "Robust Permutation Tests in Linear Instrumental Variables Regression," Papers 2111.13774, arXiv.org, revised Jul 2024.
    1057. Dizioli, Allan & Pinheiro, Roberto B., 2012. "Health insurance as a productive factor," MPRA Paper 39743, University Library of Munich, Germany.
    1058. Su, Xuejuan, 2012. "Have Customers Benefited from Electricity Retail Competition?," Working Papers 2012-21, University of Alberta, Department of Economics, revised 01 Oct 2014.
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    1062. Nadja Dwenger & Viktor Steiner, 2014. "Financial leverage and corporate taxation: evidence from German corporate tax return data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(1), pages 1-28, February.
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    1066. Schwerdt, Guido & Messer, Dolores & Wößmann, Ludger & Wolter, Stefan C., 2012. "The impact of an adult education voucher program: Evidence from a randomized field experiment," Munich Reprints in Economics 19921, University of Munich, Department of Economics.
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    1069. Lokonon, Boris Odilon Kounagbè, 2016. "Crop diversification, downside risk exposure, and crop production in the Niger basin of Benin," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246389, African Association of Agricultural Economists (AAAE).
    1070. Surianshah, Sarimah, 2021. "Digital Divide in Education during COVID-19 Pandemic," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(3), pages 103-112.
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    1078. Quinn Keefer, 2015. "Performance Feedback Does Not Eliminate the Sunk-Cost Fallacy: Evidence From Professional Football," Journal of Labor Research, Springer, vol. 36(4), pages 409-426, December.
    1079. Sabrina Chi & Shawn X. Huang & Juan Manuel Sanchez, 2017. "CEO Inside Debt Incentives and Corporate Tax Sheltering," Journal of Accounting Research, Wiley Blackwell, vol. 55(4), pages 837-876, September.
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    1082. Barrera, Oscar & Bensidoun, Isabelle & Edo, Anthony, 2022. "Second-Generation Immigrants and Native Attitudes Toward Immigrants in Europe," IZA Discussion Papers 15393, Institute of Labor Economics (IZA).
    1083. Minyoung Kim & Curba Morris Lampert & Raja Roy, 2020. "Regionalization of R&D activities: (Dis)economies of interdependence and inventive performance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(7), pages 1054-1075, September.
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    1085. Becchetti, Leonardo & Conzo, Pierluigi & Gianfreda, Giuseppina, 2012. "Market access, organic farming and productivity: the effects of Fair Trade addiliation on Thai farmer producers groups," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(01), pages 1-24, March.
    1086. Han Zhang & Jing Qin & Sonja I. Berndt & Demetrius Albanes & Lu Deng & Mitchell H. Gail & Kai Yu, 2020. "On Mendelian randomization analysis of case‐control study," Biometrics, The International Biometric Society, vol. 76(2), pages 380-391, June.
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    1088. Chala, Alemu Tulu & Forssbaeck, Jens, 2018. "Does Collateral Reduce Loan-Size Credit Rationing? Survey Evidence," Working Papers 2018:36, Lund University, Department of Economics.
    1089. Shawn Chen-Yu Leu & Jeffrey Sheen, 2005. "Asymmetric Monetary Policy in Australia," Working Papers 2005.02, School of Economics, La Trobe University.
    1090. Thomas Lubik & Frank Schorfheide, 2003. "Do Central Banks Respond to Exchange Rate Movements? A Structural Investigation," Economics Working Paper Archive 505, The Johns Hopkins University,Department of Economics.
    1091. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    1092. Sandeep Mazumder, 2012. "European Inflation and the New Keynesian Phillips Curve," Southern Economic Journal, John Wiley & Sons, vol. 79(2), pages 322-349, October.
    1093. Bakker Femke E. & Rotondi Valentina, 2016. "Vote for Your Family! Particularism, Support for Democracy and Support for Shari’a in the Arab World," Review of Middle East Economics and Finance, De Gruyter, vol. 12(2), pages 115-137, August.
    1094. Tomás Cortés & Nicolás Grau & Jorge Rivera, 2019. "Juvenile Incarceration and Adult Recidivism," Working Papers wp482, University of Chile, Department of Economics.
    1095. Juan De Dios Tena & Jorge Dresdner & Iván Araya, 2012. "A Multimarket Approach For Estimating A New Keynesian Phillips Curve," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 20(1), pages 49-68, Spring.
    1096. Saowaruj RATTANAKHAMFU & Naparit CHANTAWASINKUL & Nuttawut LAKSANAPANYAKUL & Nuttawut Warakorn AWUTPANYAKUL & Nuttawut Natcha YONGPHIPHATWONG, 2024. "The Impact of Urban Density on Labour Productivity: Empirical Evidence from Thailand's Major Cities," Working Papers DP-2024-12, Economic Research Institute for ASEAN and East Asia (ERIA).
    1097. Bitoto, Fabrice Ewolo & Nkoa Ongo, Emmanuel Bruno, 2024. "Natural resource rents and public spending on education in Africa: Does women's political empowerment matter?," Resources Policy, Elsevier, vol. 93(C).
    1098. Heckley, Gawain & Fischer , Martin & Gerdtham, Ulf-G. & Karlsson , Martin & Kjellsson, Gustav & Nilsson, Therese, 2018. "The Long-Term Impact of Education on Mortality and Health: Evidence from Sweden," Working Papers 2018:8, Lund University, Department of Economics.
    1099. Mikusheva, Anna, 2013. "Survey on statistical inferences in weakly-identified instrumental variable models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 29(1), pages 117-131.
    1100. Thomas G. Canace & Scott B. Jackson & Tao Ma, 2018. "R&D investments, capital expenditures, and earnings thresholds," Review of Accounting Studies, Springer, vol. 23(1), pages 265-295, March.
    1101. Andrea Riganti & Luigi Siciliani & Carlo V. Fiorio, 2017. "The effect of waiting times on demand and supply for elective surgery: Evidence from Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 92-105, September.
    1102. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    1103. Michael Smith & Johannes Urpelainen, 2014. "The Effect of Feed-in Tariffs on Renewable Electricity Generation: An Instrumental Variables Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(3), pages 367-392, March.
    1104. Lara Bohnet & Susana Peralta & Joao Pereira dos Santos, 2021. "Cousins from overseas: the labour market impact of half a million Portuguese repatriates," NOVAFRICA Working Paper Series wp2114, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
    1105. Adam I. Biener & Chad Meyerhoefer & John Cawley, 2024. "Non‐classical measurement error in instrumental variables estimation: An application to the medical care costs of obesity," Health Economics, John Wiley & Sons, Ltd., vol. 33(11), pages 2558-2574, November.
    1106. Zhenxu Tong, 2015. "Labor Unions and Forms of Corporate Liquidity," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(7-8), pages 1007-1039, September.
    1107. Darren K. Hayunga, 2018. "Sales Concessions in the US Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 56(1), pages 33-75, January.
    1108. Philip Wales, 2013. "Access All Areas? The Impact of Fees and Background on Student Demand for Postgraduate Higher Education in the UK," SERC Discussion Papers 0128, Centre for Economic Performance, LSE.
    1109. Yu, Jisang & Villoria, Nelson B. & Hendricks, Nathan P., 2022. "The incidence of foreign market tariffs on farmland rental rates," Food Policy, Elsevier, vol. 112(C).
    1110. Andrew Chesher & Adam Rosen, 2019. "Generalized Instrumental Variable Models, Methods, and Applications," CeMMAP working papers CWP41/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    1111. Felder, Stefan & Werblow, Andreas & Zweifel, Peter, 2010. "Do red herrings swim in circles? Controlling for the endogeneity of time to death," Journal of Health Economics, Elsevier, vol. 29(2), pages 205-212, March.
    1112. Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    1113. Arusha Cooray & Friedrich Schneider, 2018. "Does corruption throw sand into or grease the wheels of financial sector development?," Public Choice, Springer, vol. 177(1), pages 111-133, October.
    1114. Crôtte, Amado & Noland, Robert B. & Graham, Daniel J., 2010. "An analysis of gasoline demand elasticities at the national and local levels in Mexico," Energy Policy, Elsevier, vol. 38(8), pages 4445-4456, August.
    1115. S. Trevis Certo & John R. Busenbark & Hyun‐soo Woo & Matthew Semadeni, 2016. "Sample selection bias and Heckman models in strategic management research," Strategic Management Journal, Wiley Blackwell, vol. 37(13), pages 2639-2657, December.
    1116. Shen, Yan & Shen, Minggao & Xu, Zhong & Bai, Ying, 2009. "Bank Size and Small- and Medium-sized Enterprise (SME) Lending: Evidence from China," World Development, Elsevier, vol. 37(4), pages 800-811, April.
    1117. Meta Brown & Sarah Stein & Basit Zafar, 2015. "The Impact of Housing Markets on Consumer Debt: Credit Report Evidence from 1999 to 2012," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 175-213, March.
    1118. Robert S. Chirinko & Debdulal Mallick, 2017. "The Substitution Elasticity, Factor Shares, and the Low-Frequency Panel Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 225-253, October.
    1119. Antonio Ciccone, 2013. "Estimating the Effect of Transitory Economic Shocks on Civil Conflict," Review of Economics and Institutions, Università di Perugia, vol. 4(2).
    1120. Carolyn J. Heinrich & Huiping Cheng, 2022. "Does Online Credit Recovery in High School Support or Stymie Later Labor Market Success?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(4), pages 984-1011, September.
    1121. Prosper Donovon & Alastair R. Hall, 2015. "GMM and Indirect Inference: An appraisal of their connections and new results on their properties under second order identification," Economics Discussion Paper Series 1505, Economics, The University of Manchester.
    1122. Jinsil Kim & Miranda J. Welbourne Eleazar & Seung‐Hyun Lee, 2024. "The influence of media scrutiny on firms' strategic eschewal of lobbying," Strategic Management Journal, Wiley Blackwell, vol. 45(11), pages 2340-2367, November.
    1123. Zweimüller, Josef & Wagner, Alexander F. & Halla, Martin, 2012. "Immigration and Voting for the Far Right," CEPR Discussion Papers 9102, C.E.P.R. Discussion Papers.
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    1127. Andrew Beauchamp, 2012. "Regulation, Imperfect Competition, and the U.S. Abortion Market," Boston College Working Papers in Economics 811, Boston College Department of Economics, revised 31 Oct 2013.
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    1130. Fredriksson, Per & Mamun, Khawaja, 2009. "Tobacco Politics and Electoral Accountability in the United States," Working Papers 2009003, Sacred Heart University, John F. Welch College of Business.
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    1144. Kershen Huang & Chenguang Shang, 2024. "Does informal governance matter to institutional investors? Evidence from social capital," The Financial Review, Eastern Finance Association, vol. 59(2), pages 433-457, May.
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    1150. McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    1151. Wen You & George Davis, 2011. "Childhood Overweight: Does Quality of Parental Childcare Time Matter?," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 219-232, June.
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    1155. Peter Z. Schochet & Hanley Chiang, "undated". "Technical Methods Report: Estimation and Identification of the Complier Average Causal Effect Parameter in Education RCTs," Mathematica Policy Research Reports 947d1823e3ff42208532a763d, Mathematica Policy Research.
    1156. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2018. "Exit, Voice, and Response on Digital Platforms: An Empirical Investigation of Online Management Response Strategies," Information Systems Research, INFORMS, vol. 29(4), pages 849-870, December.
    1157. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. "Liquidity, Market Efficiency and the Influence of Noise Traders: Quasi-Experimental Evidence from the Betting Industry," Working Papers 341, University of Zurich, Department of Business Administration (IBW).
    1158. John V. Winters, 2017. "Do Native STEM Graduates Increase Innovation? Evidence from U.S. Metropolitan Areas," Economics Working Paper Series 1714, Oklahoma State University, Department of Economics and Legal Studies in Business.
    1159. Tan, Chih Ming & Tan, Zhibo & Zhang, Xiaobo, 2014. "Sins of the fathers: The intergenerational legacy of the 1959-1961 Great Chinese Famine on children's cognitive development:," IFPRI discussion papers 1351, International Food Policy Research Institute (IFPRI).
    1160. L. Aldieri & G. Autiero & A. Nese & C. P. Vinci, 2024. "The role of education in innovation–migration nexus in Europe," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-20, April.
    1161. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    1162. Molly Went & Amit Sud & Charlie Mills & Abi Hyde & Richard Culliford & Philip Law & Jayaram Vijayakrishnan & Ines Gockel & Carlo Maj & Johannes Schumacher & Claire Palles & Martin Kaiser & Richard Hou, 2024. "Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    1163. Priit Vahter, 2011. "Learning By Exporting: Evidence Based on Data of Knowledge Flows from Innovation Surveys in Estonia," William Davidson Institute Working Papers Series wp1011, William Davidson Institute at the University of Michigan.
    1164. Ayan, Davut, 2016. "Unemployment Among the Recent U.S. Veterans," MPRA Paper 117307, University Library of Munich, Germany.
    1165. Seo-Young Cho, 2016. "Liberal coercion? Prostitution, human trafficking and policy," European Journal of Law and Economics, Springer, vol. 41(2), pages 321-348, April.
    1166. Joseph DeJuan & John Seater, 2004. "Testing the Cross-Section Implications of Friedman's Permanent Income Hypothesis," Working Papers 04003, University of Waterloo, Department of Economics, revised Jan 2004.
    1167. Sarah M. Hofmann & Andrea M. Muehlenweg, 2016. "Gatekeeping in German Primary Health Care - Impacts on Coordination of Care, Quality Indicators and Ambulatory Costs," CINCH Working Paper Series 1605, Universitaet Duisburg-Essen, Competent in Competition and Health, revised Sep 2016.
    1168. Yihe Yang & Noah Lorincz-Comi & Xiaofeng Zhu, 2023. "Unbiased estimation and asymptotically valid inference in multivariable Mendelian randomization with many weak instrumental variables," Papers 2301.05130, arXiv.org, revised Feb 2024.
    1169. Han, Rui & Melecky, Martin, 2017. "Broader use of saving products among people can make deposit funding of the banking system more resilient," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 89-102.
    1170. Ron Shalev & Ivy Xiying Zhang & Yong Zhang, 2013. "CEO Compensation and Fair Value Accounting: Evidence from Purchase Price Allocation," Journal of Accounting Research, Wiley Blackwell, vol. 51(4), pages 819-854, September.
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    1172. Maurice J.G. Bun, 2014. "Identifying the impact of deterrence on crime - internal versus external instruments," UvA-Econometrics Working Papers 14-03, Universiteit van Amsterdam, Dept. of Econometrics.
    1173. Lee Biggerstaff & David C. Cicero & Andy Puckett, 2017. "FORE! An Analysis of CEO Shirking," Management Science, INFORMS, vol. 63(7), pages 2302-2322, July.
    1174. Omar Paccagnella & Vincenzo Rebba & Guglielmo Weber, 2013. "VOLUNTARY PRIVATE HEALTH INSURANCE AMONG THE OVER 50s IN EUROPE," Health Economics, John Wiley & Sons, Ltd., vol. 22(3), pages 289-315, March.
    1175. Doucouliagos, Chris & Hennessy, Jack & Mallick, Debdulal, 2019. "Health Aid, Governance and Infant Mortality," IZA Discussion Papers 12166, Institute of Labor Economics (IZA).
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    1369. Qin, Xuezheng & Li, Lixing & Hsieh, Chee-Ruey, 2013. "Too few doctors or too low wages? Labor supply of health care professionals in China," China Economic Review, Elsevier, vol. 24(C), pages 150-164.
    1370. Luna Santos, Francisco, 2021. "Comparing the impact of discretionary and pre-announced central bank interventions," Journal of International Money and Finance, Elsevier, vol. 110(C).
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    1373. Williams, Jonathan, 2012. "Efficiency and market power in Latin American banking," Journal of Financial Stability, Elsevier, vol. 8(4), pages 263-276.
    1374. Yuda, Michio, 2013. "Medical Fee Reforms, Changes In Medical Supply Densities, And Supplier-Induced Demand: Empirical Evidence From Japan," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 54(1), pages 79-93, June.
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    1377. Dimitrios Nikolaou & Laura M. Crispin, 2022. "Estimating the effects of sports and physical exercise on bullying," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 283-303, April.
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    1379. Krishna Chaitanya Vadlamannati & Arusha Cooray, 2015. "Do transparency initiatives work? Assessing the impact of the Special Data Dissemination Standard (SDDS) on data transparency," CAMA Working Papers 2015-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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    1381. Martin Halla & Alexander F. Wagner & Josef Zweimüller, 2012. "Immigration and voting for the extreme right," ECON - Working Papers 083, Department of Economics - University of Zurich, revised Oct 2013.
    1382. Ongo Nkoa, Bruno Emmanuel & Ewolo Bitoto, Fabrice & Bikoula Minkoe, Séraphin Brice, 2024. "Resource dependence and life expectancy in sub-Saharan Africa: Does financial sector stability break the curse?," Resources Policy, Elsevier, vol. 97(C).
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    1386. Fortin, Bernard & Lacroix, Guy & Pinard, Dominique, 2010. "Evaluation of the Underground Economy in Quebec: A Microeconomic Approach," IZA Discussion Papers 5384, Institute of Labor Economics (IZA).
    1387. Brown, Sarah & Taylor, Karl, 2016. "Early influences on saving behaviour: Analysis of British panel data," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 1-14.
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    1389. Cali,Massimiliano & Johnson,Hillary C. & Perova,Elizaveta & Ryandiansyah,Nabil Rizky, 2022. "Caring for Children and Firms? The Impact of Preschool Expansion on Firm Productivity," Policy Research Working Paper Series 10193, The World Bank.
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    1392. Faqin Lin & Nicholas C.S. Sim & Ngoc Pham, 2015. "Child Mortality in the LDCs: The Role of Trade, Institutions and Environmental Quality," School of Economics and Public Policy Working Papers 2015-15, University of Adelaide, School of Economics and Public Policy.
    1393. Ms. Era Dabla-Norris & Ms. Gabriela Inchauste, 2007. "Informality and Regulations: What Drives Firm Growth?," IMF Working Papers 2007/112, International Monetary Fund.
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    1503. Karwowski, Nicole & Hrozencik, Robert A. & Skidmore, Marin & Rosenberg, Andrew B., 2024. "Water Quality and the Conservation Reserve Program: Empirical Evidence from the Mississippi River Basin," 2024 Annual Meeting, July 28-30, New Orleans, LA 343739, Agricultural and Applied Economics Association.
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    5. Brissimis, Sophocles & Migiakis, Petros, 2010. "Inflation persistence and the rationality of inflation expectations," MPRA Paper 29052, University Library of Munich, Germany.
    6. Maynard, Alex & Shimotsu, Katsumi, 2009. "Covariance-Based Orthogonality Tests For Regressors With Unknown Persistence," Econometric Theory, Cambridge University Press, vol. 25(1), pages 63-116, February.
    7. Müller, Ulrich K. & Watson, Mark W., 2013. "Low-frequency robust cointegration testing," Journal of Econometrics, Elsevier, vol. 174(2), pages 66-81.
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    12. Benati, Luca, 2020. "Money velocity and the natural rate of interest," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 117-134.
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    15. Marcelo Moreira & Rafael Mourão & Humberto Moreira, 2016. "A critical value function approach, with an application to persistent time-series," CeMMAP working papers CWP24/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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  54. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.

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    6. Harry Pickard, 2020. "Explaining fiscal decentralization and the role of ethnic Diversity," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(5), pages 469-485, November.
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    1. Richard T. Baillie & George Kapetanios & Fotis Papailias, 2017. "Inference for impulse response coefficients from multivariate fractionally integrated processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 60-84, March.
    2. Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank.
    3. Rossi, Barbara & Pesavento, Elena, 2003. "Small Sample Confidence Intervals for Multivariate Impulse Response Functions at Long Horizons," Working Papers 03-19, Duke University, Department of Economics.
    4. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    5. Elena Pesavento, Barbara Rossi, 2006. "Impulse Response Confidence Intervals for Persistent Data: What Have We Learned?," Economics Working Papers ECO2006/19, European University Institute.
    6. Atsushi Inoue & Lutz Kilian, 2019. "The uniform validity of impulse response inference in autoregressions," Vanderbilt University Department of Economics Working Papers 19-00001, Vanderbilt University Department of Economics.
    7. Kilian, Lutz & Kim, Yun Jung, 2009. "Do Local Projections Solve the Bias Problem in Impulse Response Inference?," CEPR Discussion Papers 7266, C.E.P.R. Discussion Papers.
    8. Helmut Luetkepohl, 2011. "Vector Autoregressive Models," Economics Working Papers ECO2011/30, European University Institute.
    9. Ozdemir, Zeynel Abidin & Gokmenoglu, Korhan & Ekinci, Cagdas, 2013. "Persistence in crude oil spot and futures prices," Energy, Elsevier, vol. 59(C), pages 29-37.
    10. José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.
    11. Jonathan H. Wright, 2000. "Exact confidence intervals for impulse responses in a Gaussian vector autoregression," International Finance Discussion Papers 682, Board of Governors of the Federal Reserve System (U.S.).
    12. Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
    13. Dorfman, Jeffrey H. & McIntosh, Christopher S., 2001. "Imposing inequality restrictions: efficiency gains from economic theory," Economics Letters, Elsevier, vol. 71(2), pages 205-209, May.

  56. Bollerslev, Tim & Wright, Jonathan H., 2000. "Semiparametric estimation of long-memory volatility dependencies: The role of high-frequency data," Journal of Econometrics, Elsevier, vol. 98(1), pages 81-106, September.

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    1. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    2. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2020. "The memory of stock return volatility: Asset pricing implications," Journal of Financial Markets, Elsevier, vol. 47(C).
    3. Lu, Yang K. & Perron, Pierre, 2010. "Modeling and forecasting stock return volatility using a random level shift model," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 138-156, January.
    4. Bianchi, Daniele & Tamoni, Andrea, 2016. "The dynamics of expected returns: evidence from multi-scale time series modelling," LSE Research Online Documents on Economics 118992, London School of Economics and Political Science, LSE Library.
    5. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Pierre Perron & Zhongjun Qu, 2008. "Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices," Boston University - Department of Economics - Working Papers Series wp2008-004, Boston University - Department of Economics.
    7. Maria Caporale, Guglielmo & A. Gil-Alana, Luis, 2011. "Multi-Factor Gegenbauer Processes and European Inflation Rates," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 26, pages 386-409.
    8. David McMillan & Alan Speight, 2005. "Long-memory and heterogeneous components in high frequency Pacific-Basin exchange rate volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(3), pages 199-226, September.
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    118. Ke Meng & Shouhao Li, 2021. "The adaptive market hypothesis and high frequency trading," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
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    125. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
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    127. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
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    134. Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2013. "Exchange Traded Funds, Size-Based Portfolios, And Market Efficiency," Working Papers 0214fin, College of Business, University of Texas at San Antonio.
    135. Kim, Jae H., 2009. "Automatic variance ratio test under conditional heteroskedasticity," Finance Research Letters, Elsevier, vol. 6(3), pages 179-185, September.
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    137. Azad, A.S.M. Sohel, 2009. "Random walk and efficiency tests in the Asia-Pacific foreign exchange markets: Evidence from the post-Asian currency crisis data," Research in International Business and Finance, Elsevier, vol. 23(3), pages 322-338, September.
    138. Graham, Michael & Peltomäki, Jarkko & Sturludóttir, Hildur, 2015. "Do capital controls affect stock market efficiency? Lessons from Iceland," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 82-88.
    139. Abdelbari El Khamlichi & Kabir Sarkar Humayun & Mohamed Arouri & Frédéric Teulon, 2014. "Are Islamic equity indices more efficient than their conventional counterparts ? Evidence from major global index families," Working Papers 2014-91, Department of Research, Ipag Business School.
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  58. Wright, Jonathan H., 1999. "A new estimator of the fractionally integrated stochastic volatility model," Economics Letters, Elsevier, vol. 63(3), pages 295-303, June.

    Cited by:

    1. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.
    3. Perez, Ana & Ruiz, Esther, 2001. "Finite sample properties of a QML estimator of stochastic volatility models with long memory," Economics Letters, Elsevier, vol. 70(2), pages 157-164, February.
    4. Mark J. Jensen, 2004. "Semiparametric Bayesian Inference of Long‐Memory Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(6), pages 895-922, November.
    5. Veiga, Helena, 2006. "A two factor long memory stochastic volatility model," DES - Working Papers. Statistics and Econometrics. WS ws061303, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Pérez, Ana, 2001. "Modelos de memoria larga para series económicas y financieras," DES - Documentos de Trabajo. Estadística y Econometría. DS ds010101, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Celso Brunetti & Christopher L. Gilbert, 1999. "Bivariate FIGARCH and Fractional Cointegration," Working Papers 408, Queen Mary University of London, School of Economics and Finance.

  59. Wright, Jonathan H., 1999. "The Local Asymptotic Power Of Certain Tests For Fractional Integration," Econometric Theory, Cambridge University Press, vol. 15(5), pages 704-709, October.

    Cited by:

    1. Shao, Xiaofeng & Wu, Wei Biao, 2007. "Local asymptotic powers of nonparametric and semiparametric tests for fractional integration," Stochastic Processes and their Applications, Elsevier, vol. 117(2), pages 251-261, February.
    2. Terence Tai-Leung Chong, 2007. "Estimating the Fractionally Integrated Model with a Break in the Differencing Parameter," Economics Bulletin, AccessEcon, vol. 3(67), pages 1-10.

  60. Wright, Jonathan H, 1999. "Testing for a Unit Root in the Volatility of Asset Returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 309-318, May-June.

    Cited by:

    1. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    2. Athanasia Gavala & Nikolay Gospodinov & Deming Jiang, 2006. "Forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 381-400.
    3. Luis Gil-Alana, 2003. "Stochastic behavior of nominal exchange rates," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(2), pages 159-173, June.
    4. Kevin B. Grier & Aaron D. Smallwood, 2007. "Uncertainty and Export Performance: Evidence from 18 Countries," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(4), pages 965-979, June.
    5. Peter R. Hansen & Asger Lunde, 2010. "Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error," CREATES Research Papers 2010-08, Department of Economics and Business Economics, Aarhus University.
    6. Benth, Fred Espen & Paraschiv, Florentina, 2018. "A space-time random field model for electricity forward prices," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 203-216.
    7. Yong Li & Jun Yu, 2010. "A New Bayesian Unit Root Test in Stochastic Volatility Models," Working Papers 21-2010, Singapore Management University, School of Economics, revised Oct 2010.
    8. Patton, Andrew J., 2011. "Data-based ranking of realised volatility estimators," Journal of Econometrics, Elsevier, vol. 161(2), pages 284-303, April.
    9. Yong Li & Jun Yu, 2019. "An Improved Bayesian Unit Root Test in Stochastic Volatility Models," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 103-122, May.

  61. Wright, Jonathan H., 1999. "Frequency domain inference for univariate impulse responses," Economics Letters, Elsevier, vol. 63(3), pages 269-277, June.

    Cited by:

    1. Ionel Birgean & Lutz Kilian, 2002. "Data-Driven Nonparametric Spectral Density Estimators For Economic Time Series: A Monte Carlo Study," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 449-476.

  62. Jonathan H. Wright, 1999. "A New Test for Structural Stability Based on Recursive Residuals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(1), pages 109-119, February.

    Cited by:

    1. Godolphin, J.D., 2009. "New formulations for recursive residuals as a diagnostic tool in the fixed-effects linear model with design matrices of arbitrary rank," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2119-2128, April.

  63. Jonathan H. Wright, 1998. "Testing for a Structural Break at Unknown Date with Long‐memory Disturbances," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 369-376, May.

    Cited by:

    1. Luis Alberiko Gil-Alaña & Olanrewaju L. Shittu & OlaOluwa S. Yaya, 2011. "Long memory, strcutural breaks and mean shifts in the inflation rates in Nigeria," NCID Working Papers 04/2011, Navarra Center for International Development, University of Navarra.
    2. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    3. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    4. Pestana Barros, Carlos & Gil-Alana, Luis A. & Payne, James E., 2012. "Evidence of long memory behavior in U.S. renewable energy consumption," Energy Policy, Elsevier, vol. 41(C), pages 822-826.
    5. Seong Yeon Chang & Pierre Perron, 2017. "Fractional Unit Root Tests Allowing for a Structural Change in Trend under Both the Null and Alternative Hypotheses," Econometrics, MDPI, vol. 5(1), pages 1-26, January.
    6. Beran, Jan, 2007. "On parameter estimation for locally stationary long-memory processes," CoFE Discussion Papers 07/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
    7. Sibbertsen, Philipp, 2000. "Robust CUSUM-M test in the presence of long-memory disturbances," Technical Reports 2000,19, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    8. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2011. "International Labour Force Participation Rates by Gender: Unit Root or Structural Breaks?," ERC Working Papers 1105, ERC - Economic Research Center, Middle East Technical University, revised Oct 2011.
    9. Walter Kramer & Philipp Sibbertsen, 2002. "Testing for Structural Changes in the Presence of Long Memory," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(3), pages 235-242, December.
    10. Beran, Jan & Shumeyko, Yevgen, 2012. "Bootstrap testing for discontinuities under long-range dependence," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 322-347.
    11. Malinda & Maya & Jo-Hui & Chen, 2022. "Testing for the Long Memory and Multiple Structural Breaks in Consumer ETFs," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(6), pages 1-6.
    12. Javier Hualde & Fabrizio Iacone, 2015. "Autocorrelation robust inference using the Daniell kernel with fixed bandwidth," Discussion Papers 15/14, Department of Economics, University of York.
    13. Les Oxley & Chris Price & William Rea & Marco Reale, 2008. "A New Procedure to Test for H Self-Similarity," Working Papers in Economics 08/16, University of Canterbury, Department of Economics and Finance.
    14. Kai Wenger & Christian Leschinski & Philipp Sibbertsen, 2019. "Change-in-mean tests in long-memory time series: a review of recent developments," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(2), pages 237-256, June.
    15. Iacone, Fabrizio & Leybourne, Stephen J. & Robert Taylor, A.M., 2013. "Testing for a break in trend when the order of integration is unknown," Journal of Econometrics, Elsevier, vol. 176(1), pages 30-45.
    16. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.

  64. Wright, Jonathan H, 1997. "The Limiting Distribution of Post-sample Stability Tests for GMM Estimation When the Potential Break Date Is Unknown," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(2), pages 299-303, May.

    Cited by:

    1. D.M. Nachane & Nishita Raje, 2007. "Financial Liberalisation and Monetary Policy," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 1(1), pages 47-83, March.
    2. Clark, Todd & McCracken, Michael, 2013. "Advances in Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1107-1201, Elsevier.
    3. Jan, Yin-Ching & Chou, Peter Shyan-Rong & Hung, Mao-Wei, 2000. "Pacific Basin stock markets and international capital asset pricing," Global Finance Journal, Elsevier, vol. 11(1-2), pages 1-16.

  65. Wright, Jonathan H., 1996. "Structural stability tests in the linear regression model when the regressors have roots local to unity," Economics Letters, Elsevier, vol. 52(3), pages 257-262, September.

    Cited by:

    1. A. Deshkovski & A. Dzeshkovskaia, 2014. "Is a night better than a day: Empirical evidence," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-11, December.
    2. Lajos Horváth & Gregory Rice, 2014. "Extensions of some classical methods in change point analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 219-255, June.

  66. Bradley, John & Whelan, Karl & Wright, Jonathan, 1995. "HERMIN Ireland," Economic Modelling, Elsevier, vol. 12(3), pages 249-274, July.

    Cited by:

    1. Christodoulakis, Nicos M. & Kalyvitis, Sarantis C., 1998. "A four-sector macroeconometric model for Greece and the evaluation of the community support framework 1994-1999," Economic Modelling, Elsevier, vol. 15(4), pages 575-620, October.
    2. de la Fuente, Angel, 2002. "The Effect of Structural Fund Spending on the Spanish Regions: An Assessment of the 1994-99 Objective 1 CSF," CEPR Discussion Papers 3673, C.E.P.R. Discussion Papers.
    3. Christodoulakis, Nicos M. & Kalyvitis, Sarantis C., 1997. "The demand for energy in Greece: assessing the effects of the Community Support Framework 1994-1999," Energy Economics, Elsevier, vol. 19(4), pages 393-416, October.
    4. Stephen Roper, 2005. "Cross-Border and Local Cooperation on the island of Ireland - A Behavioural Perspective," ERSA conference papers ersa05p475, European Regional Science Association.
    5. John Bradley & Gerhard Untiedt & Edgar Morgenroth, 2003. "Macro-regional evaluation of the structural funds using the Hermin modelling framework," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2003(3).
    6. Alan Barrett & Adele Bergin, 2009. "Estimating the Impact of Immigration in Ireland," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 35, pages 1-2.
    7. Morris A. Davis & Michael G. Palumbo, 2001. "A primer on the economics and time series econometrics of wealth effects," Finance and Economics Discussion Series 2001-09, Board of Governors of the Federal Reserve System (U.S.).
    8. John FitzGerald & David Duffy & Diarmaid Smyth, 2000. "Managing an Economy Under EMU: The Case of Ireland," Papers WP127, Economic and Social Research Institute (ESRI).
    9. Zbigniew Mogila & Janusz Zaleski & Joanna Kudelko, 2011. "Leaders and outliers in the race of regions - EU Cohesion Policy in Poland in the light of macroeconomic modelling," ERSA conference papers ersa11p292, European Regional Science Association.
    10. Attila Varga, 2007. "GMR-Hungary: A Complex Macro-Regional Model for the Analysis of Development Policy Impacts on the Hungarian Economy," UPFBE Working Paper Series 2007/4, Faculty of Business and Economics, University Pécs.
    11. Begona Eguía & Cruz Angel Echevarría, "undated". "Estructura de la edad poblacional e inversión residencial en Espana," Studies on the Spanish Economy 119, FEDEA.
    12. Bergin, Adele & Kearney, Ide, 2007. "Human capital accumulation in an open labour market: Ireland in the 1990s," Economic Modelling, Elsevier, vol. 24(6), pages 839-858, November.
    13. Moretti, Luigi, 2004. "I modelli macroeconomici per la valutazione dell'impatto dei Fondi strutturali nelle economie a Obiettivo 1 [Macroeconomic Models Used for the Impact Evaluation of the Structural Funds in Objective," MPRA Paper 18868, University Library of Munich, Germany.

  67. Wright, J. H., 1993. "The CUSUM test based on least squares residuals in regressions with integrated variables," Economics Letters, Elsevier, vol. 41(4), pages 353-358.

    Cited by:

    1. Lee, Sangyeol & Park, Siyun, 2009. "The monitoring test for the stability of regression models with nonstationary regressors," Economics Letters, Elsevier, vol. 105(3), pages 250-252, December.
    2. Sayera Younus, 2010. "Exchange Market Pressure and Monetary Policy," Working Papers id:2389, eSocialSciences.
    3. Lu, Xinhong & Maekawa, Koichi & Lee, Sangyeol, 2008. "The CUSUM of squares test for the stability of regression models with non-stationary regressors," Economics Letters, Elsevier, vol. 100(2), pages 234-237, August.
    4. Wankeun Oh, 2002. "Cointegration and Structural Change: An Application to the U.S. Demand for Money," Economic Inquiry, Western Economic Association International, vol. 40(1), pages 91-101, January.

Chapters

  1. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.

    Cited by:

    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    2. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    3. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    4. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2012. "Prediction Markets for Economic Forecasting," IZA Discussion Papers 6720, Institute of Labor Economics (IZA).
    5. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    6. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    7. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2018. "Using low frequency information for predicting high frequency variables," International Journal of Forecasting, Elsevier, vol. 34(4), pages 774-787.
    8. Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2016. "The term structure of expectations and bond yields," Staff Reports 775, Federal Reserve Bank of New York.
    9. Timmermann, Allan & Pettenuzzo, Davide, 2016. "Forecasting Macroeconomic Variables under Model Instability," CEPR Discussion Papers 11355, C.E.P.R. Discussion Papers.
    10. Li, Kai, 2019. "Portfolio selection with inflation-linked bonds and indexation lags," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    11. Michael T. Kiley, 2023. "The Role of Wages in Trend Inflation: Back to the 1980s?," Finance and Economics Discussion Series 2023-022, Board of Governors of the Federal Reserve System (U.S.).
    12. Ahmed, M. Iqbal & Cassou, Steven P., 2021. "Asymmetries in the effects of unemployment expectation shocks as monetary policy shifts with economic conditions," Economic Modelling, Elsevier, vol. 100(C).
    13. Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
    14. Rodrigo Sekkel, 2014. "Balance Sheets of Financial Intermediaries: Do They Forecast Economic Activity?," Staff Working Papers 14-40, Bank of Canada.
    15. Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
    16. Álvarez, Luis J. & Sánchez, Isabel, 2019. "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 568-585.
    17. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    18. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2024. "Comparing forecasting performance with panel data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 918-941.
    19. Huisman, Ronald & Van der Sar, Nico L. & Zwinkels, Remco C.J., 2021. "Volatility expectations and disagreement," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 379-393.
    20. Dobrislav Dobrev & Pawel J. Szerszen, 2025. "Missing Data Substitution for Enhanced Robust Filtering and Forecasting in Linear State-Space Models," Finance and Economics Discussion Series 2025-001, Board of Governors of the Federal Reserve System (U.S.).
    21. Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
    22. Kim, Insu & Kim, Young Se, 2019. "Inattentive agents and inflation forecast error dynamics: A Bayesian DSGE approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
    23. Lucian Liviu ALBU & Carlos MatéJIMÉNEZ & Mihaela SIMIONESCU, 2015. "The Assessment of Some Macroeconomic Forecasts for Spain using Aggregated Accuracy Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 30-47, June.
    24. Ezgi O. Ozturk & Xuguang Simon Sheng, 2017. "Measuring Global and Country-Specific Uncertainty," IMF Working Papers 2017/219, International Monetary Fund.
    25. Marcin Kolasa & Michał Rubaszek, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," NBP Working Papers 282, Narodowy Bank Polski.
    26. Dellas, Harris & Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2018. "The macroeconomic and fiscal implications of inflation forecast errors," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 203-217.
    27. Smets, Frank & Warne, Anders & Wouters, Rafael, 2014. "Professional forecasters and real-time forecasting with a DSGE model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 981-995.
    28. Patrick T. kanda & Mehmet Balcilar & Pejman Bahramian & Rangan Gupta, 2014. "Forecasting South African Inflation Using Non-Linear Models: A Weighted Loss-Based Evaluation," Working Papers 201416, University of Pretoria, Department of Economics.
    29. Bo Zhang & Joshua C.C. Chan & Jamie L. Cross, 2018. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," CAMA Working Papers 2018-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    30. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    31. Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024. "Forecasting UK inflation bottom up," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1521-1538.
    32. Michele Ca' Zorzi & Micha􏰀l Rubaszek, 2018. "Exchange rate forecasting on a napkin," GRU Working Paper Series GRU_2018_025, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    33. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    34. Giacomo Sbrana & Andrea Silvestrini & Fabrizio Venditti, 2015. "Short term inflation forecasting: the M.E.T.A. approach," Temi di discussione (Economic working papers) 1016, Bank of Italy, Economic Research and International Relations Area.
    35. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    36. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    37. Ellis W. Tallman & Saeed Zaman, 2015. "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series) 1519, Federal Reserve Bank of Cleveland.
    38. Brownlees, Christian & Souza, André B.M., 2021. "Backtesting global Growth-at-Risk," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 312-330.
    39. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    40. Gibbs, Christopher G. & Vasnev, Andrey L., 2024. "Conditionally optimal weights and forward-looking approaches to combining forecasts," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1734-1751.
    41. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    42. Smith, Michael Stanley & Maneesoonthorn, Worapree, 2018. "Inversion copulas from nonlinear state space models with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 34(3), pages 389-407.
    43. Oren Barkan & Jonathan Benchimol & Itamar Caspi & Allon Hammer & Noam Koenigstein, 2021. "Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks," Bank of Israel Working Papers 2021.06, Bank of Israel.
    44. Michele Bernardi & Jaqueson K. Galimberti, 2014. "A Note on the Representative Adaptive Learning Algorithm," KOF Working papers 14-356, KOF Swiss Economic Institute, ETH Zurich.
    45. Dur, Ayşe & Martínez García, Enrique, 2020. "Mind the gap!—A monetarist view of the open-economy Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    46. Ahmet Akca & Ethem Çanakoğlu, 2021. "Adaptive stochastic risk estimation of firm operating profit," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(3), pages 463-504, September.
    47. Arnoud Stevens & Joris Wauters, 2021. "Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
    48. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2015. "Complete subset regressions with large-dimensional sets of predictors," Journal of Economic Dynamics and Control, Elsevier, vol. 54(C), pages 86-110.
    49. Arbex, Marcelo & Caetano, Sidney & Correa, Wilson, 2019. "Macroeconomic effects of inflation target uncertainty shocks," Economics Letters, Elsevier, vol. 181(C), pages 111-115.
    50. Kaihatsu, Sohei & Nakajima, Jouchi, 2018. "Has trend inflation shifted?: An empirical analysis with an equally-spaced regime-switching model," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 69-83.
    51. Todd E. Clark, 2014. "The Importance of Trend Inflation in the Search for Missing Disinflation," Economic Commentary, Federal Reserve Bank of Cleveland, issue Aug.
    52. Mehrotra, Aaron & Yetman, James, 2018. "Are inflation targets credible? A novel test," Economics Letters, Elsevier, vol. 167(C), pages 67-70.
    53. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    54. Hirano, Keisuke & Wright, Jonathan H., 2022. "Analyzing cross-validation for forecasting with structural instability," Journal of Econometrics, Elsevier, vol. 226(1), pages 139-154.
    55. Huber, Florian & Onorante, Luca & Pfarrhofer, Michael, 2024. "Forecasting euro area inflation using a huge panel of survey expectations," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1042-1054.
    56. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    57. Randal J. Verbrugge & Saeed Zaman, 2022. "Improving Inflation Forecasts Using Robust Measures," Working Papers 22-23R, Federal Reserve Bank of Cleveland, revised 30 May 2023.
    58. Peter Hooper, 2018. "The case against price-level targeting," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(3), pages 145-155, July.
    59. Forbes, Kristin & Kirkham, Lewis & Theodoridis, Konstantinos, 2017. "A trendy approach to UK inflation dynamics," Discussion Papers 49, Monetary Policy Committee Unit, Bank of England.
    60. Aristidou, Chrystalleni, 2018. "The meta-Phillips Curve: Modelling U.S. inflation in the presence of regime change," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 367-379.
    61. Angela Capolongo & Claudia Pacella, 2019. "Forecasting inflation in the euro area: countries matter!," Temi di discussione (Economic working papers) 1224, Bank of Italy, Economic Research and International Relations Area.
    62. Korobilis, Dimitris & Landau, Bettina & Musso, Alberto & Phella, Anthoulla, 2021. "The time-varying evolution of inflation risks," Working Paper Series 2600, European Central Bank.
    63. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    64. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
    65. Pincheira-Brown, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2019. "Forecasting inflation in Latin America with core measures," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1060-1071.
    66. Carriero, Andrea & Galvão, Ana Beatriz & Kapetanios, George, 2019. "A comprehensive evaluation of macroeconomic forecasting methods," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1226-1239.
    67. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    68. Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Naqvi, Bushra & Umar, Muhammad, 2024. "Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting," International Review of Financial Analysis, Elsevier, vol. 94(C).
    69. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    70. Gamber, Edward N. & Smith, Julie K. & Eftimoiu, Raluca, 2015. "The dynamic relationship between core and headline inflation," Journal of Economics and Business, Elsevier, vol. 81(C), pages 38-53.
    71. Aparicio, Diego & Bertolotto, Manuel I., 2020. "Forecasting inflation with online prices," International Journal of Forecasting, Elsevier, vol. 36(2), pages 232-247.
    72. Han, Zhao, 2024. "Asymmetric information and misaligned inflation expectations," Journal of Monetary Economics, Elsevier, vol. 143(C).
    73. Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.

Books

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