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Rodrigo Sekkel

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Tony Chernis & Rodrigo Sekkel, 2017. "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers 17-2, Bank of Canada.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting

Working papers

  1. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.

    Cited by:

    1. Muhammed Bulutay, 2024. "Better than Perceived? Correcting Misperceptions about Central Bank Inflation Forecasts," Berlin School of Economics Discussion Papers 0034, Berlin School of Economics.

  2. Dmitry Matveev & Julien McDonald-Guimond & Rodrigo Sekkel, 2020. "The neutral rate in Canada: 2020 update," Staff Analytical Notes 2020-24, Bank of Canada.

    Cited by:

    1. Robert Amano & Marc-André Gosselin & Kurt See, 2021. "Exploring the potential benefits of inflation overshooting," Staff Analytical Notes 2021-16, Bank of Canada.
    2. Dany Brouillette & Guyllaume Faucher & Martin Kuncl & Austin McWhirter & Youngmin Park, 2021. "Potential output and the neutral rate in Canada: 2021 update," Staff Analytical Notes 2021-6, Bank of Canada.

  3. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.

    Cited by:

    1. Calista Cheung & Luke Frymire & Lise Pichette, 2020. "Can the Business Outlook Survey Help Improve Estimates of the Canadian Output Gap?," Discussion Papers 2020-14, Bank of Canada.
    2. Dany Brouillette & Marie-Noëlle Robitaille & Laurence Savoie-Chabot & Pierre St-Amant & Bassirou Gueye & Elise Martin, 2019. "The Trend Unemployment Rate in Canada: Searching for the Unobservable," Staff Working Papers 19-13, Bank of Canada.
    3. Cars Hommes & Mario He & Sebastian Poledna & Melissa Siqueira & Yang Zhang, 2022. "CANVAS: A Canadian Behavioral Agent-Based Model," Staff Working Papers 22-51, Bank of Canada.
    4. Mr. Troy D Matheson, 2019. "How to Improve Inflation Forecasting in Canada," IMF Working Papers 2019/190, International Monetary Fund.
    5. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    6. Tony Chernis & Taylor Webley, 2022. "Nowcasting Canadian GDP with Density Combinations," Discussion Papers 2022-12, Bank of Canada.
    7. Poloz, Stephen S., 2021. "Technological progress and monetary policy: Managing the fourth industrial revolution," Journal of International Money and Finance, Elsevier, vol. 114(C).
    8. Stephen S. Poloz, 2019. "Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution," Discussion Papers 2019-11, Bank of Canada.
    9. Henri Keränen & Sakari Lähdemäki, 2020. "Identification of fiscal SVARs in small open economies using trading partner forecast errors as instruments," Working Papers 330, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    10. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.

  4. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.

    Cited by:

    1. 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.
    2. Taylor Webley & Carla Valerio & Maureen MacIsaac, 2020. "Characterizing Breadth in Canadian Economic Activity," Staff Analytical Notes 2020-1, Bank of Canada.
    3. Patrick Rizzetto, 2018. "GDP by Industry in Real Time: Are Revisions Well Behaved?," Staff Analytical Notes 2018-40, Bank of Canada.

  5. Tony Chernis & Rodrigo Sekkel, 2017. "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers 17-2, Bank of Canada.

    Cited by:

    1. Shafiullah Qureshi & Ba M. Chu & Fanny S. Demers, 2020. "Forecasting Canadian GDP growth using XGBoost," Carleton Economic Papers 20-14, Carleton University, Department of Economics, revised 24 Aug 2020.
    2. André Binette & Tony Chernis & Daniel de Munnik, 2017. "Global Real Activity for Canadian Exports: GRACE," Discussion Papers 17-2, Bank of Canada.
    3. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.
    4. Daniel Hopp, 2022. "Benchmarking Econometric and Machine Learning Methodologies in Nowcasting," Papers 2205.03318, arXiv.org.
    5. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
    6. Christian Glocker & Philipp Wegmueller, 2020. "Business cycle dating and forecasting with real-time Swiss GDP data," Empirical Economics, Springer, vol. 58(1), pages 73-105, January.
    7. D.V. Firsov & T.C. Chernyshevа, 2021. "Review of Successful Practices of Applying Nowcasting in Socio-Economic Forecasting," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 269-293.
    8. Rudrani Bhattacharya & Bornali Bhandari & Sudipto Mundle, 2023. "Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 213-234, March.
    9. Baumeister, Christiane & Guérin, Pierre, 2021. "A comparison of monthly global indicators for forecasting growth," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1276-1295.
    10. González-Astudillo, Manuel & Baquero, Daniel, 2019. "A nowcasting model for Ecuador: Implementing a time-varying mean output growth," Economic Modelling, Elsevier, vol. 82(C), pages 250-263.
    11. Giannone, Domenico & Tambalotti, Andrea & Sbordone, Argia & Bok, Brandyn & Caratelli, Daniele, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," CEPR Discussion Papers 12589, C.E.P.R. Discussion Papers.
    12. Danilo Leiva-Leon & Gabriel Pérez-Quirós & Eyno Rots, 2020. "Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis," MNB Working Papers 2020/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    13. Evzen Kocenda & Karen Poghosyan, 2020. "Nowcasting Real GDP Growth: Comparison between Old and New EU Countries," Working Papers IES 2020/5, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2020.
    14. Chris D'Souza & Jane Voll, 2021. "Qualitative Field Research in Monetary Policy Making," Discussion Papers 2021-1, Bank of Canada.
    15. Tony Chernis & Calista Cheung & Gabriella Velasco, 2017. "A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth," Discussion Papers 17-8, Bank of Canada.
    16. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    17. Daniel Baquero & Manuel Gonzalez-Astudillo, 2018. "A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept," Finance and Economics Discussion Series 2018-044, Board of Governors of the Federal Reserve System (U.S.).
    18. Konstantin S. Rybak, 2023. "Анализ Важности Глобальных Факторов Для Наукастинга Ввп," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    19. Hopp Daniel, 2022. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Journal of Official Statistics, Sciendo, vol. 38(3), pages 847-873, September.
    20. James Chapman & Ajit Desai, 2021. "Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19," Staff Working Papers 21-2, Bank of Canada.
    21. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    22. Zhang, Yixiao & Yu, Cindy L. & Li, Haitao, 2022. "Nowcasting GDP Using Dynamic Factor Model with Unknown Number of Factors and Stochastic Volatility: A Bayesian Approach," Econometrics and Statistics, Elsevier, vol. 24(C), pages 75-93.
    23. Tony Chernis & Taylor Webley, 2022. "Nowcasting Canadian GDP with Density Combinations," Discussion Papers 2022-12, Bank of Canada.
    24. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    25. Philipp Wegmüller & Christian Glocker & Valentino Guggia, 2021. "Weekly Economic Activity: Measurement and Informational Content," WIFO Working Papers 627, WIFO.
    26. Patrick Rizzetto, 2018. "GDP by Industry in Real Time: Are Revisions Well Behaved?," Staff Analytical Notes 2018-40, Bank of Canada.
    27. Shafiullah Qureshi & Ba Chu & Fanny S. Demers, 2021. "Forecasting Canadian GDP Growth with Machine Learning," Carleton Economic Papers 21-05, Carleton University, Department of Economics.
    28. Stavros Degiannakis, 2023. "The D-model for GDP nowcasting," Working Papers 317, Bank of Greece.
    29. Krist'of N'emeth & D'aniel Hadh'azi, 2023. "GDP nowcasting with artificial neural networks: How much does long-term memory matter?," Papers 2304.05805, arXiv.org, revised Feb 2024.
    30. Tingguo Zheng & Xinyue Fan & Wei Jin & Kuangnan Fang, 2024. "Forecasting CPI with multisource data: The value of media and internet information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 702-753, April.
    31. Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    32. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    33. Zhang, Wei & He, Jie & Ge, Chanyuan & Xue, Rui, 2022. "Real-time macroeconomic monitoring using mixed frequency data: Evidence from China," Economic Modelling, Elsevier, vol. 117(C).
    34. Stankevich, Ivan, 2020. "Comparison of macroeconomic indicators nowcasting methods: Russian GDP case," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 113-127.
    35. Andrius Grybauskas & Vaida Pilinkienė & Mantas Lukauskas & Alina Stundžienė & Jurgita Bruneckienė, 2023. "Nowcasting Unemployment Using Neural Networks and Multi-Dimensional Google Trends Data," Economies, MDPI, vol. 11(5), pages 1-23, April.
    36. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
    37. Ashton de Silva & Maria Yanotti & Sarah Sinclair & Sveta Angelopoulos, 2023. "Place‐Based Policies and Nowcasting," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(3), pages 363-370, September.

  6. Julien Champagne & Rodrigo Sekkel, 2017. "Changes in Monetary Regimes and the Identification of Monetary Policy Shocks: Narrative Evidence from Canada," Staff Working Papers 17-39, Bank of Canada.

    Cited by:

    1. Olivier Gervais, 2019. "How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections," Discussion Papers 2019-6, Bank of Canada.
    2. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.
    3. Barnichon, Regis & Mesters, Geert, 2021. "The Phillips multiplier," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 689-705.
    4. Xing Guo & Pablo Ottonello & Diego J. Perez, 2020. "Monetary Policy and Redistribution in Open Economies," NBER Working Papers 28213, National Bureau of Economic Research, Inc.
    5. Murgia, Lucia M., 2020. "The effect of monetary policy shocks on macroeconomic variables: Evidence from the Eurozone," Economics Letters, Elsevier, vol. 186(C).
    6. Shutao Cao & Wei Dong, 2020. "Production Networks and the Propagation of Commodity Price Shocks," Staff Working Papers 20-44, Bank of Canada.
    7. Olivier Fortin-Gagnon & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "A Large Canadian Database for Macroeconomic Analysis," Working Papers 20-07, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    8. Cristiano Cantore & Filippo Ferroni & Miguel A. Leon-Ledesma, 2018. "The Missing Link: Monetary Policy and The Labor Share," Studies in Economics 1808, School of Economics, University of Kent.
    9. Frederic Boissay & Fabrice Collard & Cristina Manea & Adam Shapiro, 2023. "Monetary tightening, inflation drivers and financial stress," BIS Working Papers 1155, Bank for International Settlements.
    10. Thomas J Carter & Rhys Mendes & Lawrence L Schembri, 2018. "Credibility, Flexibility and Renewal: The Evolution of Inflation Targeting in Canada," RBA Annual Conference Volume (Discontinued), in: John Simon & Maxwell Sutton (ed.),Central Bank Frameworks: Evolution or Revolution?, Reserve Bank of Australia.
    11. Jeremy Kronick & Steve Ambler, 2019. "Do demographics affect monetary policy transmission in Canada?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 787-811, April.
    12. van der Ploeg, Frederick & Willems, Tim, 2024. "Battle of the markups: conflict inflation and the aspirational channel of monetary policy transmission," Bank of England working papers 1065, Bank of England.
    13. Chevaughn van der Westhuizen & Renee van Eyden & Goodness C. Aye, 2023. "Monetary Policy Effectiveness in the Face of Uncertainty: The Real Macroeconomic Impact of a Monetary Policy Shock in South Africa during High and Low Uncertainty States," Working Papers 202331, University of Pretoria, Department of Economics.
    14. Baranowski, Paweł & Doryń, Wirginia & Łyziak, Tomasz & Stanisławska, Ewa, 2021. "Words and deeds in managing expectations: Empirical evidence from an inflation targeting economy," Economic Modelling, Elsevier, vol. 95(C), pages 49-67.
    15. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
    16. Julien Champagne & Émilien Gouin-Bonenfant, 2022. "Monetary Policy, Credit Constraints and SME Employment," Staff Working Papers 22-49, Bank of Canada.
    17. Mr. Andrea Pescatori & Stefan Laseen, 2016. "Financial Stability and Interest-Rate Policy: A Quantitative Assessment of Costs and Benefits," IMF Working Papers 2016/073, International Monetary Fund.
    18. Jongrim Ha, 2020. "Nonlinear transmission of U.S. monetary policy shocks to international financial markets," International Finance, Wiley Blackwell, vol. 23(3), pages 350-369, December.
    19. Philippe Goulet Coulombe, 2020. "Time-Varying Parameters as Ridge Regressions," Papers 2009.00401, arXiv.org, revised Apr 2023.
    20. 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.
    21. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    22. Taylor, Alan M. & Cloyne, James & Hürtgen, Patrick, 2022. "Global Monetary and Financial Spillovers: Evidence from a New Measure of Bundesbank Policy Shocks," CEPR Discussion Papers 17587, C.E.P.R. Discussion Papers.
    23. Sangyup Choi & Tim Willems & Seung Yong Yoo, 2023. "Revisiting the Monetary Transmission Mechanism through an Industry-Level Differential Approach," Working papers 2023rwp-215, Yonsei University, Yonsei Economics Research Institute.
    24. Tony Chernis & Corinne Luu, 2018. "Disaggregating Household Sensitivity to Monetary Policy by Expenditure Category," Staff Analytical Notes 2018-32, Bank of Canada.
    25. Monica Jain & Christopher S. Sutherland, 2020. "How Do Central Bank Projections and Forward Guidance Influence Private-Sector Forecasts?," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 179-218, October.
    26. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
    27. Kronick, Jeremy M. & Villarreal, Francisco G., 2019. "Distributional Impacts of Low for Long Interest Rates," MPRA Paper 93483, University Library of Munich, Germany.
    28. Kevin Moran & Dalibor Stevanovic & Stephane Surprenant, 2024. "Risk Scenarios and Macroeconomic Forecasts," Working Papers 24-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Apr 2024.
    29. Matthieu Verstraete & Lena Suchanek, 2018. "Understanding Monetary Policy and its Effects: Evidence from Canadian Firms Using the Business Outlook Survey," CESifo Working Paper Series 7221, CESifo.
    30. Rosen Azad Chowdhury & Dilshad Jahan & Tapas Mishra & Mamata Parhi, 2024. "Monetary policy shock and impact asymmetry in bank lending channel: Evidence from the UK housing sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 511-530, January.
    31. Xu Zhang, 2021. "A New Measure of Monetary Policy Shocks," Staff Working Papers 21-29, Bank of Canada.
    32. 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.
    33. Alex Ilek & Guy Segal, 2022. "A Simple Theory-Based Estimate of the Real Natural Rate of Interest in Open Economies," Bank of Israel Working Papers 2022.06, Bank of Israel.

  7. Gregory Bauer & Gurnain Pasricha & Rodrigo Sekkel & Yaz Terajima, 2016. "The Global Financial Cycle, Monetary Policies and Macroprudential Regulations in Small, Open Economies," Staff Working Papers 16-38, Bank of Canada.

    Cited by:

    1. Scheubel, Beatrice & Stracca, Livio & Tille, Cédric, 2019. "The global financial cycle and capital flow episodes: a wobbly link?," Working Paper Series 2337, European Central Bank.
    2. Łukasz Kurowski & Paweł Smaga, 2018. "Monetary Policy and Cyclical Systemic Risk - Friends or Foes?," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(5), pages 522-540.
    3. Hassan Dargahi & Mehdi Hadian, 2022. "Oil shocks, financial stability and implementing macroeconomics and macro‐prudential policies in an oil‐exporting economy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2481-2496, April.
    4. Xing Zhang & Fengchao Li & Zhen Li & Yingying Xu, 2018. "Macroprudential Policy, Credit Cycle, and Bank Risk-Taking," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    5. Kurowski, Łukasz & Rogowicz, Karol, 2018. "Are business and credit cycles synchronised internally or externally?," Economic Modelling, Elsevier, vol. 74(C), pages 124-141.
    6. Patrik Kupkovic & Martin Suster, 2020. "Identifying the Financial Cycle in Slovakia," Working and Discussion Papers WP 2/2020, Research Department, National Bank of Slovakia.

  8. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2016. "The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates," Staff Working Papers 16-28, Bank of Canada.

    Cited by:

    1. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.
    2. Ms. Burcu Hacibedel & Pierre Mandon & Ms. Priscilla S Muthoora & Nathalie Pouokam, 2019. "Inequality in Good and Bad Times: A Cross-Country Approach," IMF Working Papers 2019/020, International Monetary Fund.
    3. Matteo Cacciatore & Dmitry Matveev & Rodrigo Sekkel, 2022. "Uncertainty and Monetary Policy Experimentation: Empirical Challenges and Insights from Academic Literature," Discussion Papers 2022-9, Bank of Canada.
    4. Güneş Kamber & James Morley & Benjamin Wong, 2017. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," Reserve Bank of New Zealand Discussion Paper Series DP2017/01, Reserve Bank of New Zealand.
    5. Calista Cheung & Luke Frymire & Lise Pichette, 2020. "Can the Business Outlook Survey Help Improve Estimates of the Canadian Output Gap?," Discussion Papers 2020-14, Bank of Canada.
    6. Julien Champagne & Rodrigo Sekkel, 2018. "Changes in Monetary Regimes and the Identification of Monetary Policy Shocks: Narrative Evidence from Canada," 2018 Meeting Papers 128, Society for Economic Dynamics.
    7. Quast, Josefine & Wolters, Maik H., 2019. "Reliable Real-time Output Gap Estimates Based on a Modified Hamilton Filter," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203535, Verein für Socialpolitik / German Economic Association.
    8. Monica Jain & Christopher S. Sutherland, 2020. "How Do Central Bank Projections and Forward Guidance Influence Private-Sector Forecasts?," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 179-218, October.
    9. Camila Figueroa & Jorge Fornero & Pablo García, 2019. "Hindsight vs. Real time measurement of the output gap: Implications for the Phillips curve in the Chilean Case," Working Papers Central Bank of Chile 854, Central Bank of Chile.
    10. Mr. Alvar Kangur & Koralai Kirabaeva & Jean-Marc Natal & Simon Voigts, 2019. "How Informative Are Real Time Output Gap Estimates in Europe?," IMF Working Papers 2019/200, International Monetary Fund.
    11. Tetiana Kvasha, 2021. "Potential GDP and its factors assessment," Technology audit and production reserves, Socionet;Technology audit and production reserves, vol. 6(4(62)), pages 40-45.
    12. Matthieu Verstraete & Lena Suchanek, 2017. "Understanding Monetary Policy and its Effects: Evidence from Canadian Firms Using the Business Outlook Survey," Staff Working Papers 17-24, Bank of Canada.
    13. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
    14. Francesco Furlanetto & Kåre Hagelund & Frank Hansen & Ørjan Robstad, 2020. "Norges Bank Output Gap Estimates: Forecasting Properties, Reliability and Cyclical Sensitivity," Working Paper 2020/7, Norges Bank.
    15. Lise Pichette & Marie-Noëlle Robitaille & Mohanad Salameh & Pierre St-Amant, 2018. "Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation," Staff Working Papers 18-10, Bank of Canada.
    16. Amy Y. Guisinger & Michael T. Owyang & Hannah Shell, 2018. "Comparing Measures of Potential Output," Review, Federal Reserve Bank of St. Louis, vol. 100(4), pages 297-316.
    17. Lise Pichette & Maria Bernier & Marie-Noëlle Robitaille, 2018. "An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework," Discussion Papers 18-14, Bank of Canada.

  9. Soojin Jo & Rodrigo Sekkel, 2016. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Staff Working Papers 16-5, Bank of Canada.

    Cited by:

    1. Sheen, Jeffrey & Wang, Ben Zhe, 2021. "Measuring macroeconomic disagreement – A mixed frequency approach," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 547-566.
    2. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36, Federal Reserve Bank of Cleveland.
    3. Martina Hengge, 2019. "Uncertainty as a Predictor of Economic Activity," IHEID Working Papers 19-2019, Economics Section, The Graduate Institute of International Studies.
    4. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    5. Oscar Claveria, 2021. "On the Aggregation of Survey-Based Economic Uncertainty Indicators Between Different Agents and Across Variables," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 1-26, April.
    6. Laurent Ferrara & Pierre Guérin, 2016. "What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks," Staff Working Papers 16-25, Bank of Canada.
    7. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021. "Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty," Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
    8. Galvao, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2020. "Does Judgment Improve Macroeconomic Density Forecasts?," EMF Research Papers 33, Economic Modelling and Forecasting Group.
    9. Forni, Mario & Gambetti, Luca & Sala, Luca, 2021. "Downside and Upside Uncertainty Shocks," CEPR Discussion Papers 15881, C.E.P.R. Discussion Papers.
    10. Shinohara, Takeshi & Okuda, Tatsushi & Nakajima, Jouchi, 2021. "Characteristics of Uncertainty Indices in the Macroeconomy," Economic Review, Hitotsubashi University, vol. 72(3), pages 246-267, July.
    11. Philip Hans Franses, 2021. "Modeling Judgment in Macroeconomic Forecasts," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 401-417, December.
    12. Mario Forni & Luca Gambetti & Nicolò Maffei-Faccioli & Luca Sala, 2023. "The impact of financial shocks on the forecast distribution of output and inflation," Working Paper 2023/3, Norges Bank.
    13. MORIKAWA Masayuki, 2019. "Uncertainty in Long-Term Macroeconomic Forecasts: Ex post Evaluation of Forecasts by Economics Researchers," Discussion papers 19084, Research Institute of Economy, Trade and Industry (RIETI).
    14. Travis J. Berge, 2020. "Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate," Finance and Economics Discussion Series 2020-012r1, Board of Governors of the Federal Reserve System (U.S.), revised 14 Apr 2021.
    15. Ozturk, Ezgi O. & Sheng, Xuguang Simon, 2018. "Measuring global and country-specific uncertainty," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 276-295.
    16. 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.
    17. Karanasos, M. & Yfanti, S., 2021. "On the Economic fundamentals behind the Dynamic Equicorrelations among Asset classes: Global evidence from Equities, Real estate, and Commodities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    18. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    19. Bae, Siye & Jo, Soojin & Shim, Myungkyu, 2023. "United States of Mind under Uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 102-127.
    20. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers (Old Series) 1715, Federal Reserve Bank of Cleveland.
    21. Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
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    3. Yu, Mingzhe & Fan, Jiachuan & Wang, Haijun & Wang, Jie, 2023. "US trade policy uncertainty on Chinese agricultural imports and exports: An aggregate and product-level analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 70-83.
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    6. Syed Hassan & Sarosh Shabi & Taufiq Choudhry, 2018. "US Economic Uncertainty, EU Business Cycles and the Global Financial Crisis," Working Papers 2018-05, Swansea University, School of Management.
    7. Chang, Kuang-Liang, 2021. "Do U.S. and Japanese uncertainty shocks play important roles in affecting transition mechanisms of Japanese stock market?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Pan, Wei-Fong & Wang, Xinjie & Yang, Shanxiang, 2019. "Debt maturity, leverage, and political uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    9. Pawan Kumar & Vipul Kumar Singh, 2023. "Examining the Time Varying Spillover Dynamics of Indian Financial Indictors from Global and Local Economic Uncertainty," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 99-121, March.
    10. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2021. "The Financial US Uncertainty Spillover Multiplier: Evidence from a GVAR Model," Working Papers 202145, University of Pretoria, Department of Economics.
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    98. Biswas, Sonny & Zhai, Wei, 2021. "Economic policy uncertainty and cross-border lending," Journal of Corporate Finance, Elsevier, vol. 67(C).
    99. Yuting Gong & Zhongzhi He & Wenjun Xue, 2023. "EPU spillovers and sovereign CDS spreads: A cross‐country study," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(12), pages 1770-1806, December.
    100. Tang, Wenjin & Ding, Saijie & Chen, Hao, 2021. "Economic uncertainty and its spillover networks: Evidence from the Asia-Pacific countries," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    101. Kim, Young Min & Lee, Seojin, 2023. "Spillover shifts in the FX market: Implication for the behavior of a safe haven currency," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    102. Andrew Castro & Neville Francis, 2018. "What Economic Factors Underlie Connectedness in Corporate Credit Default Swaps: News vs. Macroeconomic Factors?," 2018 Meeting Papers 586, Society for Economic Dynamics.
    103. Wangfang Xu & Wenjia Rao & Longbao Wei & Qianqian Wang, 2023. "A Normalized Global Economic Policy Uncertainty Index from Unsupervised Machine Learning," Mathematics, MDPI, vol. 11(15), pages 1-10, July.
    104. Huang, Wenli & Li, Shi & Qi, Zhen & Zhang, Qi, 2022. "Macro disagreement and international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    105. Graziano Moramarco, 2022. "Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers," Econometrics, MDPI, vol. 11(1), pages 1-29, December.
    106. Genc, Ismail H., 2022. "Are Indian Subcontinent remittance markets connected to each other?," Journal of Asian Economics, Elsevier, vol. 80(C).
    107. Han, Liyan & Liu, Yang & Yin, Libo, 2019. "Uncertainty and currency performance: A quantile-on-quantile approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 702-729.
    108. Thomas C. Chiang, 2019. "Market Efficiency and News Dynamics: Evidence from International Equity Markets," Economies, MDPI, vol. 7(1), pages 1-17, February.
    109. Gupta, Rangan & Lau, Chi-Keung (Marco) & Sheng, Xin, 2020. "Graph theory-based network analysis of regional uncertainties of the US Economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    110. Chen, Xiaoyu & Chiang, Thomas C., 2020. "Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market," Research in International Business and Finance, Elsevier, vol. 53(C).
    111. Wang, Pengfei & Li, Xiao & Shen, Dehua & Zhang, Wei, 2020. "How does economic policy uncertainty affect the bitcoin market?," Research in International Business and Finance, Elsevier, vol. 53(C).
    112. Sanjay Kumar Rout & Hrushikesh Mallick, 2022. "Sovereign Bond Market Shock Spillover Over Different Maturities: A Journey from Normal to Covid-19 Period," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 697-734, December.
    113. Liu, Li & Zhang, Tao, 2015. "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, vol. 15(C), pages 99-105.
    114. Ranajit Kumar Bairagi, 2022. "Dynamic Impacts of Economic Policy Uncertainty on Australian Stock Market: An Intercontinental Evidence," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 64-91, March.
    115. Neharika Sobti, 2018. "Domestic intermarket linkages: measuring dynamic return and volatility connectedness among Indian financial markets," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(4), pages 325-344, December.
    116. LI, Yang & Luo, Jingqiu & Jiang, Yongmu, 2021. "Policy uncertainty spillovers and financial risk contagion in the Asia-Pacific network," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    117. Guo, Junjie & Li, Youshu & Shao, Qinglong, 2022. "Cross-category spillover effects of economic policy uncertainty between China and the US: Time and frequency evidence," Journal of Asian Economics, Elsevier, vol. 80(C).
    118. Scarcioffolo, Alexandre Ribeiro & Etienne, Xiaoli L., 2019. "How connected are the U.S. regional natural gas markets in the post-deregulation era? Evidence from time-varying connectedness analysis," Journal of Commodity Markets, Elsevier, vol. 15(C), pages 1-1.
    119. Burkhard Raunig, 2021. "Economic Policy Uncertainty and Stock Market Volatility: A Causality Check (Burkhard Raunig)," Working Papers 234, Oesterreichische Nationalbank (Austrian Central Bank).
    120. M. Karanasos & S. Yfanti & J. Hunter, 2022. "Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises," Annals of Operations Research, Springer, vol. 313(2), pages 1077-1116, June.
    121. OlaOluwa S. Yaya & Hammed A. Olayinka & Ahamuefula E. Ogbonna & Mamdouh Abdulaziz Saleh Al-Faryan & Xuan Vinh Vo, 2024. "Dynamic connectedness of economic policy uncertainty in G7 countries and the influence of the USA and UK on non-G7 countries," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-27, April.

  11. Jon D. Samuels & Rodrigo Sekkel, 2013. "Forecasting with Many Models: Model Confidence Sets and Forecast Combination," Staff Working Papers 13-11, Bank of Canada.

    Cited by:

    1. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2018. "Forecasting global stock market implied volatility indices," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 111-129.
    2. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    3. Mauro Bernardi & Leopoldo Catania, 2014. "The Model Confidence Set package for R," Papers 1410.8504, arXiv.org.
    4. 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.
    5. Fuentes, Julieta & Poncela, Pilar & Rodríguez, Julio, 2014. "Selecting and combining experts from survey forecasts," DES - Working Papers. Statistics and Econometrics. WS ws140905, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Liu, Liwei & Zong, Haijing & Zhao, Erdong & Chen, Chuxiang & Wang, Jianzhou, 2014. "Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development," Applied Energy, Elsevier, vol. 124(C), pages 199-212.
    7. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2015. "Forecasting implied volatility indices worldwide: A new approach," MPRA Paper 72084, University Library of Munich, Germany.
    8. Gang Cheng & Sicong Wang & Yuhong Yang, 2015. "Forecast Combination under Heavy-Tailed Errors," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    9. Marcelo C. Medeiros & Eduardo F. Mendes, 2015. "l1-Regularization of High-Dimensional Time-Series Models with Flexible Innovations," Textos para discussão 636, Department of Economics PUC-Rio (Brazil).
    10. Mauro Bernardi & Leopoldo Catania, 2016. "Comparison of Value-at-Risk models using the MCS approach," Computational Statistics, Springer, vol. 31(2), pages 579-608, June.

  12. Rodrigo Sekkel & Denisard Alves, 2005. "The Economic Determinants Of The Brazilian Term Structure Of Interest Rates," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 027, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. Júlio Cesar Albuquerque Bastos & Gabriel Caldas Montes, 2011. "Metasde Inflação E Estrutura A Termo Das Taxas De Juros - Uma Análise Dainfluência Da Credibilidade Sobre O Spread Da Taxa De Juros De Longoprazo No Brasil," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 142, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

Articles

  1. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.

    Cited by:

    1. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    2. 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.

  2. Soojin Jo & Rodrigo Sekkel, 2019. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 436-446, July.
    See citations under working paper version above.
  3. Gregory Bauer & Gurnain Pasricha & Rodrigo Sekkel & Yaz Terajima, 2018. "The Global Financial Cycle, Monetary Policies, and Macroprudential Regulations in Small, Open Economies," Canadian Public Policy, University of Toronto Press, vol. 44(2), pages 81-99, June.
    See citations under working paper version above.
  4. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2018. "The Real‐Time Properties of the Bank of Canada's Staff Output Gap Estimates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1167-1188, September.
    See citations under working paper version above.
  5. Champagne, Julien & Sekkel, Rodrigo, 2018. "Changes in monetary regimes and the identification of monetary policy shocks: Narrative evidence from Canada," Journal of Monetary Economics, Elsevier, vol. 99(C), pages 72-87.
    See citations under working paper version above.
  6. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    See citations under working paper version above.
  7. Samuels, Jon D. & Sekkel, Rodrigo M., 2017. "Model Confidence Sets and forecast combination," International Journal of Forecasting, Elsevier, vol. 33(1), pages 48-60.

    Cited by:

    1. James Younker, 2022. "Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models," Discussion Papers 2022-19, Bank of Canada.
    2. Wei, Yu & Liang, Chao & Li, Yan & Zhang, Xunhui & Wei, Guiwu, 2020. "Can CBOE gold and silver implied volatility help to forecast gold futures volatility in China? Evidence based on HAR and Ridge regression models," Finance Research Letters, Elsevier, vol. 35(C).
    3. Roccazzella, Francesco & Gambetti, Paolo & Vrins, Frédéric, 2021. "Optimal and robust combination of forecasts via constrained optimization and shrinkage," LIDAM Reprints LFIN 2021014, Université catholique de Louvain, Louvain Finance (LFIN).
    4. Wenting Zhao & Juanjuan Zhao & Xilong Yao & Zhixin Jin & Pan Wang, 2019. "A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand," Energies, MDPI, vol. 12(7), pages 1-28, April.
    5. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    6. Garcia, Márcio G.P. & Medeiros, Marcelo C. & Vasconcelos, Gabriel F.R., 2017. "Real-time inflation forecasting with high-dimensional models: The case of Brazil," International Journal of Forecasting, Elsevier, vol. 33(3), pages 679-693.
    7. Afanasyev, Dmitriy O. & Fedorova, Elena A., 2019. "On the impact of outlier filtering on the electricity price forecasting accuracy," Applied Energy, Elsevier, vol. 236(C), pages 196-210.
    8. Francis X. Diebold & Minchul Shin, 2018. "Machine Learning for Regularized Survey Forecast Combination: Partially-Egalitarian Lasso and its Derivatives," NBER Working Papers 24967, National Bureau of Economic Research, Inc.
    9. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    10. Luca De Mori & Pietro Millossovich & Rui Zhu & Steven Haberman, 2024. "Two-Population Mortality Forecasting: An Approach Based on Model Averaging," Risks, MDPI, vol. 12(4), pages 1-17, March.
    11. Ding, Lili & Zhao, Zhongchao & Wang, Lei, 2022. "Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter?," Applied Energy, Elsevier, vol. 312(C).
    12. Bravo, Jorge M. & Ayuso, Mercedes & Holzmann, Robert & Palmer, Edward, 2021. "Addressing the life expectancy gap in pension policy," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 200-221.
    13. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020. "Predicting bond return predictability," CREATES Research Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
    14. WenJie Wang & Qi Xu & Dandan Fan, 2018. "Stein-Rule Combination Forecasting on RFID Based Supply Chain," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(02), pages 1-13, April.
    15. Chiang, I-Hsuan Ethan & Liao, Yin & Zhou, Qing, 2021. "Modeling the cross-section of stock returns using sensible models in a model pool," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 56-73.
    16. Amendola, Alessandra & Braione, Manuela & Candila, Vincenzo & Storti, Giuseppe, 2020. "A Model Confidence Set approach to the combination of multivariate volatility forecasts," International Journal of Forecasting, Elsevier, vol. 36(3), pages 873-891.
    17. Mercedes Ayuso & Jorge M. Bravo & Robert Holzmann & Edward Palmer, 2021. "Automatic Indexation of the Pension Age to Life Expectancy: When Policy Design Matters," Risks, MDPI, vol. 9(5), pages 1-28, May.
    18. Chao Liang & Yongan Xu & Zhonglu Chen & Xiafei Li, 2023. "Forecasting China's stock market volatility with shrinkage method: Can Adaptive Lasso select stronger predictors from numerous predictors?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3689-3699, October.

  8. Klößner, Stefan & Sekkel, Rodrigo, 2014. "International spillovers of policy uncertainty," Economics Letters, Elsevier, vol. 124(3), pages 508-512.
    See citations under working paper version above.
  9. Sekkel, Rodrigo, 2011. "International evidence on bond risk premia," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 174-181, January.

    Cited by:

    1. Ravi Bansal & Ivan Shaliastovich, 2012. "A Long-Run Risks Explanation of Predictability Puzzles in Bond and Currency Markets," NBER Working Papers 18357, National Bureau of Economic Research, Inc.
    2. Fan, Longzhen & Tian, Shu & Zhang, Chu, 2012. "Why are excess returns on China’s Treasury bonds so predictable? The role of the monetary system," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 239-248.
    3. Petter Eilif de Lange & Morten Risstad & Kristian Semmen & Sjur Westgaard, 2023. "Term Premia in Norwegian Interest Rate Swaps," JRFM, MDPI, vol. 16(3), pages 1-19, March.
    4. Antonio Diez de los Rios, 2013. "A New Linear Estimator for Gaussian Dynamic Term Structure Models," Staff Working Papers 13-10, Bank of Canada.
    5. 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.
    6. Rui Chen & Meng Wang & Jiri Svec, 2017. "Australian Bond Excess Returns: An Asset Allocation Perspective," Australian Economic Papers, Wiley Blackwell, vol. 56(2), pages 163-173, June.
    7. Hong, Yongmiao & Lin, Hai & Wu, Chunchi, 2012. "Are corporate bond market returns predictable?," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2216-2232.
    8. Fricke, Christoph & Menkhoff, Lukas, 2014. "Financial conditions, macroeconomic factors and (un)expected bond excess returns," Discussion Papers 35/2014, Deutsche Bundesbank.
    9. 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.
    10. Gräb, Johannes & Kostka, Thomas, 2018. "Predicting risk premia in short-term interest rates and exchange rates," Working Paper Series 2131, European Central Bank.
    11. Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020. "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202002, University of Kansas, Department of Economics, revised Feb 2020.
    12. Zhang, Han & Fan, Xiaoyun & Guo, Bin & Zhang, Wei, 2019. "Reexamining time-varying bond risk premia in the post-financial crisis era," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    13. 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.
    14. 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.

  10. Rodrigo Sekkel & Denisard Alves, 2010. "The economic determinants of the Brazilian nominal term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 1-10.

    Cited by:

    1. Stona, Filipe & Caldeira, João F., 2019. "Do U.S. factors impact the Brazilian yield curve? Evidence from a dynamic factor model," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 76-89.
    2. Anna Buchholz & Cesar Cupertino & Roberto Meurer & Andre Portela Santos & Newton Da Costa, 2012. "The market reaction to changes in the Brazilian official interest rate," Applied Economics Letters, Taylor & Francis Journals, vol. 19(14), pages 1359-1364, September.

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