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Dongho Song

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:
  1. S. Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," NBER Working Papers 17421, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Better GDP estimates
      by Economic Logician in Economic Logic on 2011-10-12 19:28:00
  2. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.

    Mentioned in:

    1. Is the economy growing? Depends on how you measure it : GDP vs. GDI
      by ? in FRED blog on 2022-09-01 13:00:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," PIER Working Paper Archive 20-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Consequences > Macroeconomic
  2. Bianchi, Francesco & Bianchi, Giada & Song, Dongho, 2020. "The Long-Term Impact of the COVID-19 Unemployment Shock on Life Expectancy and Mortality Rates," CEPR Discussion Papers 15605, C.E.P.R. Discussion Papers.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Long-term consequences
  3. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)

Working papers

  1. Jésus Fernández-Villaverde & Tomohide Mineyama & Dongho Song & Jesús Fernández-Villaverde, 2024. "Are We Fragmented Yet? Measuring Geopolitical Fragmentation and Its Causal Effects," CESifo Working Paper Series 11192, CESifo.

    Cited by:

    1. Cathrin Mohr & Christoph Trebesch, 2024. "Geoeconomics," CESifo Working Paper Series 11564, CESifo.
    2. Norring, Anni, 2024. "The economic effects of geoeconomic fragmentation," BOFIT Policy Briefs 8/2024, Bank of Finland Institute for Emerging Economies (BOFIT).
    3. Andreas Baur & Florian Dorn & Clemens Fuest & Lisandra Flach, 2025. "Geoeconomic Fragmentation and the Role of Non-Aligned Countries," Rationality and Competition Discussion Paper Series 526, CRC TRR 190 Rationality and Competition.
    4. Alessandro Moro & Valerio Nispi Landi, 2024. "FraNK: fragmentation in the NK model," Temi di discussione (Economic working papers) 1475, Bank of Italy, Economic Research and International Relations Area.

  2. Francesco Bianchi & Giovanni Nicolo & Dongho Song, 2023. "Inflation and Real Activity over the Business Cycle," Finance and Economics Discussion Series 2023-038, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Ascari, Guido & Fosso, Luca, 2024. "The international dimension of trend inflation," Journal of International Economics, Elsevier, vol. 148(C).
    2. Ángelo Gutiérrez-Daza, 2024. "Business Cycles when Consumers Learn by Shopping," Working Papers 2024-12, Banco de México.
    3. Manuel M. F. Martins & Fabio Verona, 2024. "Forecasting Inflation with the New Keynesian Phillips Curve: Frequencies Matter," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 811-832, August.
    4. Sun, Yulong, 2024. "Prices and returns: Role of inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).
    5. Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," LEM Papers Series 2024/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  3. Chernov, Mikhail & Lochstoer, Lars & Song, Dongho, 2021. "The real channel for nominal bond-stock puzzles," CEPR Discussion Papers 16381, C.E.P.R. Discussion Papers.

    Cited by:

    1. Sun, Yulong, 2024. "Prices and returns: Role of inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).

  4. Schorfheide, Frank & Song, Dongho, 2021. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," CEPR Discussion Papers 16760, C.E.P.R. Discussion Papers.

    Cited by:

    1. Frank Schorfheide & Dongho Song, 2024. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," International Journal of Central Banking, International Journal of Central Banking, vol. 20(4), pages 275-320, October.
    2. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," NBER Working Papers 28014, National Bureau of Economic Research, Inc.
    3. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
    4. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    5. Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," JRC Working Papers in Economics and Finance 2021-01, Joint Research Centre, European Commission.
    6. Marco Flaccadoro, 2024. "The recent weakness in the German manufacturing sector," Questioni di Economia e Finanza (Occasional Papers) 902, Bank of Italy, Economic Research and International Relations Area.
    7. De Backer, Bruno & Dewachter, Hans & Iania, Leonardo, 2021. "Macrofinancial information on the post-COVID-19 economic recovery: Will it be V, U or L-shaped?," LIDAM Reprints LFIN 2021007, Université catholique de Louvain, Louvain Finance (LFIN).
    8. José R. Maria & Paulo Júlio, 2023. "Trends and cycles during the COVID-19 pandemic period," Working Papers w202311, Banco de Portugal, Economics and Research Department.
    9. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
    10. Serena Ng, 2021. "Modeling Macroeconomic Variations after Covid-19," NBER Working Papers 29060, National Bureau of Economic Research, Inc.
    11. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1403-1417, September.
    12. John Cotter & Mark Hallam & Kamil Yilmaz, 2020. "Macro-Financial Spillovers," Working Papers 202005, Geary Institute, University College Dublin.
    13. Roberta Cardani & Olga Croitorov & Massimo Giovannini & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2021. "The Euro Area's Pandemic Recession: A DSGE-Based Interpretation," European Economy - Discussion Papers 153, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    14. Tino Berger & James Morley & Benjamin Wong, 2020. "Nowcasting the output gap," CAMA Working Papers 2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Thomas B Götz & Klemens Hauzenberger, 2021. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 442-461.
    16. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    17. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    18. Bhaghoe, Sailesh & Ooft, Gavin, 2021. "Nowcasting Quarterly GDP Growth in Suriname with Factor-MIDAS and Mixed-Frequency VAR Models," Studies in Applied Economics 176, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    19. Zhang, Bo & Nguyen, Bao H., 2020. "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers 2020-12, University of Tasmania, Tasmanian School of Business and Economics.
    20. John O’Trakoun, 2022. "Business forecasting during the pandemic," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 57(3), pages 95-110, July.
    21. Claudia Foroni & Massimiliano Marcellino & Dalibor Stevanovic, 2020. "Forecasting the Covid-19 Recession and Recovery: Lessons from the Financial Crisis," CIRANO Working Papers 2020s-32, CIRANO.
    22. William D. Larson & Tara M. Sinclair, 2020. "Nowcasting Unemployment Insurance Claims in the Time of COVID-19," Working Papers 2020-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Aug 2020.
    23. Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
    24. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    25. Lin, Jiahe & Michailidis, George, 2024. "A multi-task encoder-dual-decoder framework for mixed frequency data prediction," International Journal of Forecasting, Elsevier, vol. 40(3), pages 942-957.
    26. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    27. Buda, G & Carvalho, V. M. & Corsetti, G & Duarte, J. B. & Hansen, S. & Moura, A. S. & Ortiz, à . & Rodrigo, T. & Rodríguez Mora, J. V. & Alves da Silva, G., 2025. "The Short Lags of Monetary Policy," Cambridge Working Papers in Economics 2509, Faculty of Economics, University of Cambridge.
    28. Metiu, Norbert & Prieto, Esteban, 2023. "The macroeconomic effects of inflation uncertainty," Discussion Papers 32/2023, Deutsche Bundesbank.
    29. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    30. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    31. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
    32. Evgenidis, Anastasios & Fasianos, Apostolos, 2023. "Modelling monetary policy’s impact on labour markets under Covid-19," Economics Letters, Elsevier, vol. 230(C).
    33. Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.
    34. Buda, G & Carvalho, V. M. & Corsetti, G & Duarte, J. B. & Hansen, S. & Moura, A. S. & Ortiz, à . & Rodrigo, T. & Rodríguez Mora, J. V. & Alves da Silva, G., 2025. "The Short Lags of Monetary Policy," Janeway Institute Working Papers 2504, Faculty of Economics, University of Cambridge.
    35. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    36. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    37. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    38. Anna Sznajderska & Alfred A. Haug, 2023. "Bayesian VARs of the U.S. economy before and during the pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 211-236, June.
    39. Zhang, Wen, 2022. "China’s government spending and global inflation dynamics: The role of the oil price channel," Energy Economics, Elsevier, vol. 110(C).
    40. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    41. Danilo Cascaldi-Garcia, 2022. "Pandemic Priors," International Finance Discussion Papers 1352, Board of Governors of the Federal Reserve System (U.S.).
    42. Antonio Musa, 2022. "Nowcasting Bosnia and Herzegovina GDP in Real Time," IHEID Working Papers 08-2022, Economics Section, The Graduate Institute of International Studies.
    43. Chen, Zhengyang & Valcarcel, Victor J., 2025. "Modeling inflation expectations in forward-looking interest rate and money growth rules," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 170, pages 1-21.
    44. 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.).
    45. 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.
    46. Zeynep Kantur & Gülserim Özcan, 2022. "Dissecting Turkish inflation: theory, fact, and illusion," Economic Change and Restructuring, Springer, vol. 55(3), pages 1543-1553, August.
    47. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.

  5. Patrick Augustin & Mikhail Chernov & Lukas Schmid & Dongho Song, 2020. "The Term Structure of Covered Interest Rate Parity Violations," NBER Working Papers 27231, National Bureau of Economic Research, Inc.

    Cited by:

    1. Du, Wenxin & Hebert, Benjamin & Li, Wenhao, 2022. "Intermediary Balance Sheets and the Treasury Yield Curve," Research Papers 4036, Stanford University, Graduate School of Business.

  6. Bianchi, Francesco & Bianchi, Giada & Song, Dongho, 2020. "The Long-Term Impact of the COVID-19 Unemployment Shock on Life Expectancy and Mortality Rates," CEPR Discussion Papers 15605, C.E.P.R. Discussion Papers.

    Cited by:

    1. Marco Palomeque & Juan de-Lucio, 2024. "The Soundtrack of a Crisis: More Positive Music Preferences During Economic and Social Adversity," Journal of Happiness Studies, Springer, vol. 25(5), pages 1-24, June.
    2. Celine Saul & Shannon Lange & Charlotte Probst, 2022. "Employment Status and Alcohol-Attributable Mortality Risk—A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(12), pages 1-10, June.
    3. Víctor Giménez & Diego Prior & Claudio Thieme & Emili Tortosa-Ausina, 2021. "International comparisons of the COVID-19 pandemic management: What can be learned from activity analysis techniques?," Working Papers 2021/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2021. "The long shadow of an infection: COVID-19 and performance at work," DICE Discussion Papers 368, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    5. Dong-Suk Chun & Keeyeon Ki-cheon Park & Jong-Min Kim, 2024. "From Disruption to Sustainability: The Event Industry’s Journey through the COVID-19 Pandemic," Sustainability, MDPI, vol. 16(14), pages 1-15, July.
    6. Bogliacino, Francesco & codagnone, cristiano & Folkvord, F. & Lupiáñez-Villanueva, Francisco, 2022. "The impact of labour market shocks on mental health: evidence from the COVID-19 first wave," SocArXiv wx9d4, Center for Open Science.
    7. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2022. "What cannot be cured must be endured: The long-lasting effect of a COVID-19 infection on workplace productivity," Labour Economics, Elsevier, vol. 79(C).
    8. Harran Al-Rahamneh & Lubna Arafa & Anas Al Orani & Rahaf Baqleh, 2021. "Long-Term Psychological Effects of COVID-19 Pandemic on Children in Jordan," IJERPH, MDPI, vol. 18(15), pages 1-10, July.
    9. Liu, Tie-Ying & Lin, Ye, 2023. "Does global warming affect unemployment? International evidence," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 991-1005.
    10. Baira Faulks & Song Yinghua, 2021. "The COVID-19 Crisis: Implications for the Development and Growth of Agricultural Sector in EU countries and Russia," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 7(1), pages 37-46, April.
    11. Florin-Valeriu PANTELIMON & Bogdan-Stefan POSEDARU & Elena-Aura GRIGORESCU & Dimitrie-Daniel PLACINTA, 2021. "Labor Market Trends During The COVID-19 Pandemic," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 25(2), pages 50-63.

  7. Chernov, Mikhail & Augustin, Patrick & Schmid, Lukas & Song, Dongho, 2020. "The term structure of CIP violations," CEPR Discussion Papers 14774, C.E.P.R. Discussion Papers.

    Cited by:

    1. Du, Wenxin & Hebert, Benjamin & Li, Wenhao, 2022. "Intermediary Balance Sheets and the Treasury Yield Curve," Research Papers 4036, Stanford University, Graduate School of Business.
    2. Wohlfarth, Paul & Chen, Xiaohong, 2024. "Limits to arbitrage and the term structure of CIP violations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 95(C).
    3. Nissinen, Juuso & Sihvonen, Markus, 2024. "Bond convenience curves and funding costs," Journal of International Economics, Elsevier, vol. 151(C).

  8. Taeyoung Doh & Dongho Song & Shu-Kuei X. Yang, 2020. "Deciphering Federal Reserve Communication via Text Analysis of Alternative FOMC Statements," Research Working Paper RWP 20-14, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Luis Felipe Gutiérrez & Neda Tavakoli & Sima Siami-Namini & Akbar Siami Namin, 2022. "Similarity analysis of federal reserve statements using document embeddings: the Great Recession vs. COVID-19," SN Business & Economics, Springer, vol. 2(7), pages 1-28, July.
    2. Zahner, Johannes & Baumgärtner, Martin, 2022. "Whatever it Takes to Understand a Central Banker – Embedding their Words Using Neural Networks," VfS Annual Conference 2022 (Basel): Big Data in Economics 264019, Verein für Socialpolitik / German Economic Association.
    3. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2021. "Monetary policy and financial markets: evidence from Twitter traffic," BAFFI CAREFIN Working Papers 21160, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Ge Gao & Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera, 2023. "Can central banks be heard over the sound of gunfire?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(S1), pages 183-203, December.
    5. Olivier De Bandt & Jean-Charles Bricongne & Julien Denes & Alexandre Dhenin & Annabelle De Gaye & Pierre-Antoine Robert, 2023. "Using the Press to Construct a New Indicator of Inflation Perceptions in France," Working papers 921, Banque de France.

  9. Chernov, Mikhail & Augustin, Patrick & Schmid, Lukas & Song, Dongho, 2019. "Benchmark interest rates when the government is risky," CEPR Discussion Papers 14105, C.E.P.R. Discussion Papers.

    Cited by:

    1. Patrick Augustin & Mikhail Chernov & Lukas Schmid & Dongho Song, 2020. "The Term Structure of Covered Interest Rate Parity Violations," NBER Working Papers 27231, National Bureau of Economic Research, Inc.
    2. Du, Wenxin & Hebert, Benjamin & Li, Wenhao, 2022. "Intermediary Balance Sheets and the Treasury Yield Curve," Research Papers 4036, Stanford University, Graduate School of Business.
    3. Montes, Gabriel Caldas & Maia, João Pedro Neves, 2023. "Who speaks louder, financial instruments or credit rating agencies? Analyzing the effects of different sovereign risk measures on interest rates in Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    4. Yang, Yang & He, Weijun & Jiang, Ningye & Xu, Shasha & Ramsey, Thomas Stephen & Yuan, Liang, 2024. "The intertemporal choice study of individual water-saving irrigation construction under three water pricing and subsidy scenarios," Agricultural Water Management, Elsevier, vol. 295(C).
    5. Hartley, Jonathan S. & Jermann, Urban J., 2024. "The pricing of U.S. Treasury floating rate notes," Journal of Financial Economics, Elsevier, vol. 155(C).
    6. David B. Cashin & Erin E. Syron Ferris & Elizabeth C. Klee, 2020. "Treasury Safety, Liquidity, and Money Premium Dynamics: Evidence from Recent Debt Limit Impasses," Finance and Economics Discussion Series 2020-008, Board of Governors of the Federal Reserve System (U.S.).
    7. Kanno, Masayasu, 2024. "Assessing the impact of the COVID-19 crisis on sovereign default risk," Research in International Business and Finance, Elsevier, vol. 68(C).
    8. Boutros, Michael & Clara, Nuno & Gomes, Francisco, 2024. "Borrow now, pay even later: A quantitative analysis of student debt payment plans," Journal of Financial Economics, Elsevier, vol. 159(C).
    9. Hanson, Samuel G. & Malkhozov, Aytek & Venter, Gyuri, 2024. "Demand-and-supply imbalance risk and long-term swap spreads," Journal of Financial Economics, Elsevier, vol. 154(C).
    10. Li, Shaoyu & Zhu, Chunhui & Shang, Yuhuang, 2023. "Hedging demand and near-zero swap spreads: Evidence from the Chinese interest rate swap market," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 170-185.
    11. David Cashin & Erin E. Syron Ferris & Elizabeth Klee, 2023. "Treasury Safety, Liquidity, and Money Premium Dynamics: Evidence from Debt Limit Impasses," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(6), pages 1475-1506, September.
    12. Matthias Fleckenstein & Francis A. Longstaff, 2024. "Treasury Richness," Journal of Finance, American Finance Association, vol. 79(4), pages 2797-2844, August.
    13. David-Pur, Lior & Galil, Koresh & Rosenboim, Mosi, 2020. "The dynamics of sovereign yields over swap rates in the Eurozone market," International Review of Financial Analysis, Elsevier, vol. 72(C).

  10. Ravi Bansal & Shane Miller & Dongho Song & Amir Yaron, 2019. "The Term Structure of Equity Risk Premia," NBER Working Papers 25690, National Bureau of Economic Research, Inc.

    Cited by:

    1. Andrei S. Gonçalves, 2021. "Reinvestment Risk and the Equity Term Structure," Journal of Finance, American Finance Association, vol. 76(5), pages 2153-2197, October.
    2. Foley, Sean & Li, Simeng & Malloch, Hamish & Svec, Jiri, 2022. "What is the expected return on Bitcoin? Extracting the term structure of returns from options prices," Economics Letters, Elsevier, vol. 210(C).
    3. Belén Nieto & Gonzalo Rubio, 2022. "The Effects of the COVID-19 Crisis on Risk Factors and Option-Implied Expected Market Risk Premia: An International Perspective," JRFM, MDPI, vol. 15(1), pages 1-29, January.
    4. A. Ronald Gallant & George Tauchen, 2021. "Cash Flows Discounted Using a Model-Free SDF Extracted under a Yield Curve Prior," JRFM, MDPI, vol. 14(3), pages 1-15, March.
    5. TAKAMIZAWA, Hideyuki & 高見澤, 秀幸, 2018. "An Equilibrium Model of Term Structures of Bonds and Equities," Working Paper Series G-1-19, Hitotsubashi University Center for Financial Research.
    6. Michael Hasler & Mariana Khapko & Roberto Marfè, 2020. "Rational Learning and the Term Structures of Value and Growth Risk Premia," Carlo Alberto Notebooks 622, Collegio Carlo Alberto.
    7. Koichiro Moriya & Akihiko Noda, 2023. "On the Time-Varying Structure of the Arbitrage Pricing Theory using the Japanese Sector Indices," Papers 2305.05998, arXiv.org, revised Mar 2024.
    8. Pierlauro Lopez & J. David López-Salido & Francisco Vazquez-Grande, 2023. "Nominal Rigidities and the Term Structures of Equity and Bond Returns," Working Papers 23-11, Federal Reserve Bank of Cleveland.
    9. Yu, Deshui & Huang, Difang, 2023. "Cross-sectional uncertainty and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 321-340.
    10. Jeffrey L. Callen & Matthew R. Lyle, 2020. "The term structure of implied costs of equity capital," Review of Accounting Studies, Springer, vol. 25(1), pages 342-404, March.
    11. Patricia M. Dechow & Ryan D. Erhard & Richard G. Sloan & And Mark T. Soliman, 2021. "Implied Equity Duration: A Measure of Pandemic Shutdown Risk," Journal of Accounting Research, Wiley Blackwell, vol. 59(1), pages 243-281, March.
    12. Oliver Boguth & Murray Carlson & Adlai Fisher & Mikhail Simutin, 2023. "The Term Structure of Equity Risk Premia: Levered Noise and New Estimates," Review of Finance, European Finance Association, vol. 27(4), pages 1155-1182.
    13. Gonçalves, Andrei S., 2021. "The short duration premium," Journal of Financial Economics, Elsevier, vol. 141(3), pages 919-945.
    14. Niels Joachim Gormsen & Eben Lazarus, 2023. "Duration‐Driven Returns," Journal of Finance, American Finance Association, vol. 78(3), pages 1393-1447, June.
    15. Jankauskas, Tomas, 2023. "Essays in empirical finance," Other publications TiSEM 4c319f87-ba97-44be-897e-1, Tilburg University, School of Economics and Management.
    16. Ye Li & Chen Wang, 2023. "Valuation Duration of the Stock Market," Papers 2310.07110, arXiv.org.

  11. Chernov, Mikhail & Augustin, Patrick & Song, Dongho, 2018. "Sovereign credit risk and exchange rates: Evidence from CDS quanto spreads," CEPR Discussion Papers 12857, C.E.P.R. Discussion Papers.

    Cited by:

    1. Marlene Amstad & Frank Packer & Jimmy Shek, 2018. "Does sovereign risk in local and foreign currency differ?," BIS Working Papers 709, Bank for International Settlements.
    2. Chernov, Mikhail & Creal, Drew & Hördahl, Peter, 2020. "Sovereign credit and exchange rate risks: Evidence from Asia-Pacific local currency bonds," CEPR Discussion Papers 14986, C.E.P.R. Discussion Papers.
    3. Martin, Ian & Kremens, Lukas, 2017. "The Quanto Theory of Exchange Rates," CEPR Discussion Papers 11970, C.E.P.R. Discussion Papers.
    4. Andrey Itkin & Fazlollah Soleymani, 2019. "Four-factor model of Quanto CDS with jumps-at-default and stochastic recovery," Papers 1912.08713, arXiv.org.
    5. Chernov, Mikhail & Schmid, Lukas & Schneider, Andres, 2016. "A Macrofinance View of U.S. Sovereign CDS Premiums," CEPR Discussion Papers 11576, C.E.P.R. Discussion Papers.
    6. Gordon Y. Liao, 2016. "Credit Migration and Covered Interest Rate Parity," Working Paper 468601, Harvard University OpenScholar.
    7. Giovanni Calice & Ming Zeng, 2021. "The term structure of sovereign credit default swap and the cross‐section of exchange rate predictability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 445-458, January.
    8. Mustafa Akay & Berat Bayram & Abdullah Kazdal & Muhammed Hasan Yilmaz, 2020. "Investigating Regime-Dependent Dynamics in Country Risk Premium: Evidence from Turkey and Emerging Markets," CBT Research Notes in Economics 2008, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    9. Borri, Nicola, 2019. "Redenomination-risk spillovers in the Eurozone," Economics Letters, Elsevier, vol. 174(C), pages 173-178.
    10. Dumitru, Ana-Maria & Holden, Thomas, 2019. "Quantifying the transmission of European sovereign default risk," EconStor Preprints 193632, ZBW - Leibniz Information Centre for Economics.
    11. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide & Uno, Jun, 2018. "Central bank-driven mispricing," SAFE Working Paper Series 226, Leibniz Institute for Financial Research SAFE, revised 2018.
    12. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    13. A. Itkin & V. Shcherbakov & A. Veygman, 2017. "Influence of jump-at-default in IR and FX on Quanto CDS prices," Papers 1711.07133, arXiv.org.

  12. Dongho Song & Jenny Tang, 2018. "News-driven uncertainty fluctuations," Working Papers 18-3, Federal Reserve Bank of Boston.

    Cited by:

    1. Francesco Carbonero & Jeremy Davies & Ekkehard Ernst & Sayantan Ghosal & Leaza McSorley, 2021. "Anxiety, Expectations Stabilization and Intertemporal Markets: Theory, Evidence and Policy," Working Papers 2021_12, Business School - Economics, University of Glasgow.
    2. Attílio, Luccas Assis & Mollick, André Varella, 2024. "Assessing the baseline model of WTI oil and stock returns under financial volatility and spillover effects," Energy Economics, Elsevier, vol. 135(C).

  13. Tzuo Hann Law & Dongho Song & Amir Yaron, 2017. "Fearing the Fed: How Wall Street Reads Main Street," 2017 Meeting Papers 1632, Society for Economic Dynamics.

    Cited by:

    1. Semyon Malamud & Andreas Schrimpf, 2018. "An intermediation-based model of exchange rates," BIS Working Papers 743, Bank for International Settlements.
    2. Semyon Malamud & Andreas Schrimpf, 2016. "Intermediation Markups and Monetary Policy Passthrough," Swiss Finance Institute Research Paper Series 16-75, Swiss Finance Institute.
    3. Anthony M. Diercks & William Waller, 2017. "Taxes and the Fed : Theory and Evidence from Equities," Finance and Economics Discussion Series 2017-104, Board of Governors of the Federal Reserve System (U.S.).
    4. Pascal Paul, 2019. "The Time-Varying Effect of Monetary Policy on Asset Prices," Working Paper Series 2017-09, Federal Reserve Bank of San Francisco.
    5. Döttling, Robin & Lam, Adrian, 2023. "Monetary Policy, Carbon Transition Risk, and Firm Valuation," OSF Preprints kqdar_v1, Center for Open Science.
    6. Kam F. Chan & Philip Gray, 2018. "Volatility jumps and macroeconomic news announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(8), pages 881-897, August.

  14. Dongho Song, 2016. "Bond Market Exposures to Macroeconomic and Monetary Policy Risks," Boston College Working Papers in Economics 915, Boston College Department of Economics, revised 19 Jul 2016.

    Cited by:

    1. Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Cardiff Economics Working Papers E2018/21, Cardiff University, Cardiff Business School, Economics Section.
    2. Nitschka, Thomas & Satkurunathan, Shajivan, 2021. "Habits die hard: implications for bond and stock markets internationally," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242358, Verein für Socialpolitik / German Economic Association.
    3. François Gourio & Phuong Ngo, 2020. "Risk Premia at the ZLB: A Macroeconomic Interpretation," Working Paper Series WP 2020-01, Federal Reserve Bank of Chicago.
    4. Ravi Bansal & Shane Miller & Dongho Song & Amir Yaron, 2019. "The Term Structure of Equity Risk Premia," NBER Working Papers 25690, National Bureau of Economic Research, Inc.
    5. 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.
    6. Duarte, Diogo & Saporito, Yuri F., 2019. "Endogenous asymmetric money illusion," Journal of Banking & Finance, Elsevier, vol. 109(C).
    7. Jamel Boukhatem & Zied Ftiti & Jean Michel Sahut, 2021. "Bond market and macroeconomic stability in East Asia: a nonlinear causality analysis," Annals of Operations Research, Springer, vol. 297(1), pages 53-76, February.
    8. Nguyen, Hoang & Javed, Farrukh, 2023. "Dynamic relationship between Stock and Bond returns: A GAS MIDAS copula approach," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 272-292.
    9. Li, Junye & Sarno, Lucio & Zinna, Gabriele, 2024. "Risks and risk premia in the US Treasury market," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    10. Michael D. Bauer & Glenn D. Rudebusch, 2017. "Resolving the Spanning Puzzle in Macro-Finance Term Structure Models," Review of Finance, European Finance Association, vol. 21(2), pages 511-553.
    11. Bernard Dumas & Marcel Savioz, 2023. "A Theory of the Nominal Character of Stock Securities," Review of Finance, European Finance Association, vol. 27(5), pages 1615-1657.
    12. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    13. Dohyun CHUN & Hoon CHO & Doojin RYU, 2018. "Macroeconomic Structural Changes in a Leading Emerging Market: The Effects of the Asian Financial Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-42, December.
    14. Erica X.N. Li & Tao Zha & Ji Zhang & Hao Zhou, 2020. "Stock-Bond Return Correlation, Bond Risk Premium Fundamentals, and Fiscal-Monetary Policy Regime," FRB Atlanta Working Paper 2020-19, Federal Reserve Bank of Atlanta.
    15. Bianca De Paoli & Hande Küçük, 2015. "News shocks, monetary policy, and foreign currency positions," Staff Reports 750, Federal Reserve Bank of New York.
    16. Marcello Pericoli, 2018. "Macroeconomics determinants of the correlation between stocks and bonds," Temi di discussione (Economic working papers) 1198, Bank of Italy, Economic Research and International Relations Area.
    17. Ermolov, Andrey, 2022. "Time-varying risk of nominal bonds: How important are macroeconomic shocks?," Journal of Financial Economics, Elsevier, vol. 145(1), pages 1-28.
    18. Nicolas Pesci & Jean-Philippe Aguilar & Victor James & Fabien Rouillé, 2022. "Inflation Forecasts and European Asset Returns: A Regime-Switching Approach," JRFM, MDPI, vol. 15(10), pages 1-20, October.
    19. Shaliastovich, Ivan, 2015. "Learning, confidence, and option prices," Journal of Econometrics, Elsevier, vol. 187(1), pages 18-42.
    20. Kuvshinov, Dmitry & Zimmermann, Kaspar, 2020. "The Expected Return on Risky Assets: International Long-run Evidence," CEPR Discussion Papers 15610, C.E.P.R. Discussion Papers.
    21. Chernov, Mikhail & Schmid, Lukas & Schneider, Andres, 2016. "A Macrofinance View of U.S. Sovereign CDS Premiums," CEPR Discussion Papers 11576, C.E.P.R. Discussion Papers.
    22. van Holle, Frederiek, 2017. "Essays in empirical finance and monetary policy," Other publications TiSEM 30d11a4b-7bc9-4c81-ad24-5, Tilburg University, School of Economics and Management.
    23. Palazzo, Berardino & Yamarthy, Ram, 2022. "Credit risk and the transmission of interest rate shocks," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 120-136.
    24. Guihai Zhao, 2020. "Ambiguity, Nominal Bond Yields, and Real Bond Yields," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 177-192, June.
    25. Dergunov, Ilya & Meinerding, Christoph & Schlag, Christian, 2022. "Extreme inflation and time-varying expected consumption growth," SAFE Working Paper Series 334, Leibniz Institute for Financial Research SAFE.
    26. 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.
    27. Sewon Hur & Illenin O. Kondo & Fabrizio Perri, 2018. "Inflation, Debt, and Default," Working Papers (Old Series) 1812, Federal Reserve Bank of Cleveland.
    28. François Gourio & Phuong Ngo, 2024. "Downward Nominal Rigidities and Bond Premia," Working Paper Series WP 2024-09, Federal Reserve Bank of Chicago.
    29. Robert A. Connolly & Chris Stivers & Licheng Sun, 2022. "Stock returns and inflation shocks in weaker economic times," Financial Management, Financial Management Association International, vol. 51(3), pages 827-867, September.
    30. Lakdawala, Aeimit & Wu, Shu, 2017. "Federal Reserve credibility and the term structure of interest rates," European Economic Review, Elsevier, vol. 100(C), pages 364-389.
    31. Boons, Martijn & Duarte, Fernando & de Roon, Frans & Szymanowska, Marta, 2020. "Time-varying inflation risk and stock returns," Journal of Financial Economics, Elsevier, vol. 136(2), pages 444-470.
    32. Kim, Jaeho, 2015. "Bayesian Inference in a Non-linear/Non-Gaussian Switching State Space Model: Regime-dependent Leverage Effect in the U.S. Stock Market," MPRA Paper 67153, University Library of Munich, Germany.
    33. Bahmani-Oskooee, Mohsen & Ghodsi, Seyed Hesam & Hadzic, Muris, 2020. "Asymmetric causality between stock returns and usual hedges: An industry-level analysis," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    34. Roberto Marfè, 2016. "Labor Rigidity, In ation Risk and Bond Returns," Carlo Alberto Notebooks 461, Collegio Carlo Alberto.
    35. 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.).
    36. Cieslak, Anna & Pang, Hao, 2020. "Common shocks in stocks and bonds," CEPR Discussion Papers 14708, C.E.P.R. Discussion Papers.
    37. Alex Hsu & Francisco J. Palomino & Charles Qian, 2017. "The Decline in Asset Return Predictability and Macroeconomic Volatility," Finance and Economics Discussion Series 2017-050, Board of Governors of the Federal Reserve System (U.S.).
    38. Li, Erica X.N. & Zha, Tao & Zhang, Ji & Zhou, Hao, 2022. "Does fiscal policy matter for stock-bond return correlation?," Journal of Monetary Economics, Elsevier, vol. 128(C), pages 20-34.
    39. Bansal, Naresh & Stivers, Chris, 2022. "Bond risk’s role in the equity risk-return tradeoff," Journal of Financial Markets, Elsevier, vol. 60(C).
    40. Gregory R Duffee, 2023. "Macroeconomic News and Stock–Bond Comovement," Review of Finance, European Finance Association, vol. 27(5), pages 1859-1882.
    41. Nikolay Gospodinov, 2017. "Asset Co-movements: Features and Challenges," FRB Atlanta Working Paper 2017-11, Federal Reserve Bank of Atlanta.
    42. Cieslak, Anna & Pang, Hao, 2021. "Common shocks in stocks and bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 880-904.
    43. Gozluklu, Arie & Morin, Annaïg, 2019. "Stock vs. Bond yields and demographic fluctuations," Journal of Banking & Finance, Elsevier, vol. 109(C).
    44. 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.
    45. Alfonso Dufour & Andrei Stancu & Simone Varotto, 2014. "The Equity-like Behaviour of Sovereign Bonds," ICMA Centre Discussion Papers in Finance icma-dp2014-16, Henley Business School, University of Reading.
    46. Gokmenoglu, Korhan K. & Hadood, Abobaker Al.Al., 2020. "Impact of US unconventional monetary policy on dynamic stock-bond correlations: Portfolio rebalancing and signalling channel effects," Finance Research Letters, Elsevier, vol. 33(C).
    47. Bodilsen, Simon & Eriksen, Jonas N. & Grønborg, Niels S., 2021. "Asset pricing and FOMC press conferences," Journal of Banking & Finance, Elsevier, vol. 128(C).
    48. Dergunov, Ilya & Meinerding, Christoph & Schlag, Christian, 2019. "Extreme inflation and time-varying consumption growth," Discussion Papers 16/2019, Deutsche Bundesbank.
    49. Mohsan Bilal, 2017. "Zeroing in: Asset Pricing at the Zero Lower Bound," 2017 Meeting Papers 377, Society for Economic Dynamics.
    50. Andrews, Spencer & Colacito, Riccardo & Croce, Mariano M. & Gavazzoni, Federico, 2024. "Concealed carry," Journal of Financial Economics, Elsevier, vol. 159(C).
    51. 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.).
    52. Hiroatsu Tanaka, 2022. "Equilibrium Yield Curves with Imperfect Information," Finance and Economics Discussion Series 2022-086, Board of Governors of the Federal Reserve System (U.S.).
    53. Marcello Pericoli, 2020. "On risk factors of the stock–bond correlation," International Finance, Wiley Blackwell, vol. 23(3), pages 392-416, December.
    54. Bletzinger, Tilman & Lemke, Wolfgang & Renne, Jean-Paul, 2025. "Time-varying risk aversion and inflation-consumption correlation in an equilibrium term structure model," Working Paper Series 3012, European Central Bank.
    55. Roman Sustek, 2021. "Yield curve and the business cycle in conventional times," Discussion Papers 2122, Centre for Macroeconomics (CFM).
    56. Perri, Fabrizio & Hur, Sewon & Kondo, Illenin, 2018. "Real Interest Rates, Inflation, and Default," CEPR Discussion Papers 13388, C.E.P.R. Discussion Papers.
    57. Pierlauro Lopez, 2021. "Welfare Implications of Asset Pricing Facts: Should Central Banks Fill Gaps or Remove Volatility?," Working Papers 21-16R, Federal Reserve Bank of Cleveland, revised 16 May 2023.
    58. Liu, Yang, 2023. "Government debt and risk premia," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 18-34.
    59. Wang, Hailong & Hu, Duni, 2024. "Heterogeneous beliefs with information processing capacity constraints and asset pricing in a monetary economy," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    60. Taeyoung Doh & Shu Wu, 2016. "The Equilibrium Term Structure of Equity and Interest Rates," Research Working Paper RWP 16-11, Federal Reserve Bank of Kansas City.
    61. Alex Hsu & Francisco Palomino & Liang Qian, 2023. "Gone with the Vol: A Decline in Asset Return Predictability During the Great Moderation," Management Science, INFORMS, vol. 69(5), pages 3025-3047, May.

  15. 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.

    Cited by:

    1. Jeremy J. Nalewaik, 2014. "Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression," Finance and Economics Discussion Series 2014-27, Board of Governors of the Federal Reserve System (U.S.).
    2. Daniel Aaronson & Scott A. Brave & Michael Fogarty & Ezra Karger & Spencer D. Krane, 2021. "Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade," Working Paper Series WP-2021-05, Federal Reserve Bank of Chicago, revised 18 Jun 2021.
    3. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    4. 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.
    5. Nalewaik, Jeremy & Pinto, Eugénio, 2015. "The response of capital goods shipments to demand over the business cycle," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 62-80.
    6. Sekine, Toshitaka, 2022. "Looking from Gross Domestic Income: Alternative view of Japan’s economy," Japan and the World Economy, Elsevier, vol. 64(C).
    7. John C. Williams, 2015. "The recovery’s final frontier?," Speech 150, Federal Reserve Bank of San Francisco.
    8. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    9. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
    10. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    11. Daniel Rees & David Lancaster & Richard Finlay, 2014. "A State-space Approach to Australian GDP Measurement," RBA Research Discussion Papers rdp2014-12, Reserve Bank of Australia.
    12. Tom Stark, 2014. "Real-time performance of GDPplus and alternative model-based measures of GDP: 2005—2014," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Nov.
    13. Almuzara, Martin & Amengual, Dante & Fiorentini, Gabriele & Sentana, Enrique, 2022. "GDP Solera: The Ideal Vintage Mix," CEPR Discussion Papers 17196, C.E.P.R. Discussion Papers.
    14. Jan-Benedict E. M. Steenkamp & Alberto Maydeu-Olivares, 2023. "Unrestricted factor analysis: A powerful alternative to confirmatory factor analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 86-113, January.
    15. Prydz, Espen Beer & Jolliffe, Dean & Serajuddin, Umar, 2021. "Mind the Gap," GLO Discussion Paper Series 944, Global Labor Organization (GLO).
    16. Eiji Goto & Jan P.A.M. Jacobs & Tara M. Sinclair & Simon van Norden, 2021. "Employment Reconciliation and Nowcasting," Working Papers 2021-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    17. Martín Almuzara & Dante Amengual & Enrique Sentana, 2019. "Normality tests for latent variables," Quantitative Economics, Econometric Society, vol. 10(3), pages 981-1017, July.
    18. John C. Williams, 2015. "Looking forward, forward looking: the path for monetary policy," Speech 138, Federal Reserve Bank of San Francisco.
    19. Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Indirect inference with time series observed with error," CREATES Research Papers 2014-57, Department of Economics and Business Economics, Aarhus University.
    20. John C. Williams, 2015. "Data is the new black: monetary policy by the numbers," Speech 140, Federal Reserve Bank of San Francisco.
    21. Ben Zeev, Nadav & Pappa, Evi, 2015. "Multipliers of unexpected increases in defense spending: An empirical investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 205-226.
    22. Andrew C. Chang & Phillip Li, 2018. "Measurement Error In Macroeconomic Data And Economics Research: Data Revisions, Gross Domestic Product, And Gross Domestic Income," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1846-1869, July.
    23. Tom Stark, 2015. "First quarters in the national income and product accounts," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue May.
    24. Yannic Stucki, 2022. "Measuring Swiss employment growth: a measurement-error approach," Working Papers 2022-11, Swiss National Bank.
    25. Nikoleta Anesti & Ana Beatriz Galvão & Silvia Miranda‐Agrippino, 2022. "Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 42-62, January.
    26. Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
    27. Kurt Graden Lunsford, 2023. "The Discrepancy Between Expenditure- and Income-Side Estimates of US Output," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(01), pages 1-7, January.
    28. Alifatussaadah, Ardiana & Primariesty, Anindya Diva & Soleh, Agus Mohamad & Andriansyah, Andriansyah, 2019. "Nowcasting Indonesia's GDP Growth: Are Fiscal Data Useful?," MPRA Paper 105252, University Library of Munich, Germany.
    29. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
    30. Florian Eckert & Nina Mühlebach, 2023. "Global and local components of output gaps," Empirical Economics, Springer, vol. 65(5), pages 2301-2331, November.
    31. Gyurkovics, Éva & Takács, Tibor, 2022. "Robust energy-to-peak filter design for a class of unstable polytopic systems with a macroeconomic application," Applied Mathematics and Computation, Elsevier, vol. 420(C).
    32. Reinelt, Timo & Meier, Matthias, 2020. "Monetary policy, markup dispersion, and aggregate TFP," Working Paper Series 2427, European Central Bank.
    33. Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe & Glenn D. Rudebusch & Boyuan Zhang, 2020. "Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach," Papers 2003.14276, arXiv.org, revised Aug 2020.
    34. Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
    35. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    36. Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 147-170, National Bureau of Economic Research, Inc.
    37. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    38. 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.
    39. Onno Kleen, 2024. "Scaling and measurement error sensitivity of scoring rules for distribution forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 833-849, August.
    40. 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.
    41. Jiang, Fuwei & Kang, Jie & Meng, Lingchao, 2024. "Certainty of uncertainty for asset pricing," Journal of Empirical Finance, Elsevier, vol. 78(C).
    42. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
    43. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
    44. Geng, Pei, 2022. "Estimation of functional-coefficient autoregressive models with measurement error," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    45. John G. Fernald & J. Christina Wang, 2015. "Why has the cyclicality of productivity changed?: what does it mean?," Current Policy Perspectives 15-6, Federal Reserve Bank of Boston.
    46. Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017. "Simulated minimum distance estimation of dynamic models with errors-in-variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.
    47. Lee, Hangyu & Kim, Tae Bong, 2023. "The effectiveness of labor market indicators for conducting monetary policy: Evidence from the Korean economy," Economic Modelling, Elsevier, vol. 118(C).
    48. 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.
    49. John C. Williams, 2015. "Looking forward: the path for monetary policy," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    50. Wankeun Oh & Jonghyun Yoo, 2020. "Long-Term Increases and Recent Slowdowns of CO 2 Emissions in Korea," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    51. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    52. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    53. Matthew Read, 2024. "Sign Restrictions and Supply-demand Decompositions of Inflation," RBA Research Discussion Papers rdp2024-05, Reserve Bank of Australia.
    54. Ammi, Mehdi & Arpin, Emmanuelle & Allin, Sara, 2021. "Interpreting forty-three-year trends of expenditures on public health in Canada: Long-run trends, temporal periods, and data differences," Health Policy, Elsevier, vol. 125(12), pages 1557-1564.
    55. Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.
    56. Víctor M. Guerrero & Juan A. Mendoza, 2019. "On measuring economic growth from outer space: a single country approach," Empirical Economics, Springer, vol. 57(3), pages 971-990, September.

  16. Frank Schorfheide & Dongho Song & Amir Yaron, 2013. "Identifying long-run risks: a bayesian mixed-frequency approach," Working Papers 13-39, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Christopher Anderson, 2021. "Consumption-Based Asset Pricing When Consumers Make Mistakes," Finance and Economics Discussion Series 2021-015, Board of Governors of the Federal Reserve System (U.S.).
    2. Rhys M. Bidder & Matthew E. Smith, 2013. "Doubts and Variability: A Robust Perspective on Exotic Consumption Series," Working Paper Series 2013-28, Federal Reserve Bank of San Francisco.
    3. Marlène Isoré & Urszula Szczerbowicz, 2015. "Disaster Risk and Preference Shifts in a New Keynesian Model," Working Papers 2015-16, CEPII research center.
    4. Pierlauro Lopez & J. David López-Salido & Francisco Vazquez-Grande, 2022. "Accounting for Risk in a Linearized Solution: How to Approximate the Risky Steady State and Around It," Working Papers 22-14, Federal Reserve Bank of Cleveland.
    5. Zhang, Jian & Kong, Dongmin & Liu, Hening & Wu, Ji, 2019. "Asset pricing with time varying pessimism and rare disasters," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 165-175.
    6. Gao, Lin & Hitzemann, Steffen & Shaliastovich, Ivan & Xu, Lai, 2022. "Oil volatility risk," Journal of Financial Economics, Elsevier, vol. 144(2), pages 456-491.
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    122. Meyer-Gohde, Alexander & Shabalina, Ekaterina, 2022. "Estimation and forecasting using mixed-frequency DSGE models," IMFS Working Paper Series 175, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
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  18. S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP measurement: a forecast combination perspective," Working Papers 11-41, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Jeremy J. Nalewaik, 2014. "Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression," Finance and Economics Discussion Series 2014-27, Board of Governors of the Federal Reserve System (U.S.).
    2. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    3. Tom Stark, 2014. "Real-time performance of GDPplus and alternative model-based measures of GDP: 2005—2014," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Nov.
    4. Diebold, Francis X. & Shin, Minchul, 2019. "Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1679-1691.
    5. James Bishop & Troy Gill & David Lancaster, 2013. "GDP Revisions: Measurement and Implications," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 11-22, March.
    6. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
    7. Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 147-170, National Bureau of Economic Research, Inc.
    8. Francis X. Diebold & Minchul Shin, 2017. "Beating the Simple Average: Egalitarian LASSO for Combining Economic Forecasts," PIER Working Paper Archive 17-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 20 Aug 2017.
    9. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    10. Mary C. Daly & John G. Fernald & Òscar Jordà & Fernanda Nechio, 2013. "Shocks and Adjustments," Working Paper Series 2013-32, Federal Reserve Bank of San Francisco.
    11. Marius Cristian Acatrinei, 2020. "Financial stability indicator for non-banking markets," Journal of Financial Studies, Institute of Financial Studies, vol. 9(5), pages 3-9, November.

Articles

  1. Patrick Augustin & Mikhail Chernov & Lukas Schmid & Dongho Song, 2024. "The Term Structure of Covered Interest Rate Parity Violations," Journal of Finance, American Finance Association, vol. 79(3), pages 2077-2114, June.
    See citations under working paper version above.
  2. Elenev, Vadim & Law, Tzuo-Hann & Song, Dongho & Yaron, Amir, 2024. "Fearing the Fed: How wall street reads main street," Journal of Financial Economics, Elsevier, vol. 153(C).
    See citations under working paper version above.
  3. Frank Schorfheide & Dongho Song, 2024. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," International Journal of Central Banking, International Journal of Central Banking, vol. 20(4), pages 275-320, October.
    See citations under working paper version above.
  4. Dongho Song & Jenny Tang, 2023. "News-Driven Uncertainty Fluctuations," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(3), pages 968-982, July.
    See citations under working paper version above.
  5. Bianchi, Francesco & Bianchi, Giada & Song, Dongho, 2023. "The long-term impact of the COVID-19 unemployment shock on life expectancy and mortality rates," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    See citations under working paper version above.
  6. Augustin, P. & Chernov, M. & Schmid, L. & Song, D., 2021. "Benchmark interest rates when the government is risky," Journal of Financial Economics, Elsevier, vol. 140(1), pages 74-100.
    See citations under working paper version above.
  7. Bansal, Ravi & Miller, Shane & Song, Dongho & Yaron, Amir, 2021. "The term structure of equity risk premia," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1209-1228.
    See citations under working paper version above.
  8. Frank Schorfheide & Dongho Song & Amir Yaron, 2018. "Identifying Long‐Run Risks: A Bayesian Mixed‐Frequency Approach," Econometrica, Econometric Society, vol. 86(2), pages 617-654, March.
    See citations under working paper version above.
  9. Dongho Song, 2017. "Bond Market Exposures to Macroeconomic and Monetary Policy Risks," The Review of Financial Studies, Society for Financial Studies, vol. 30(8), pages 2761-2817.
    See citations under working paper version above.
  10. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    See citations under working paper version above.
  11. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    See citations under working paper version above.Sorry, no citations of articles recorded.
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