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Jonathan Wright

Citations

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

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Refet S. Gürkaynak & Brian P. Sack & Jonathan H. Wright, 2008. "The TIPS yield curve and inflation compensation," Finance and Economics Discussion Series 2008-05, Board of Governors of the Federal Reserve System (U.S.).

    Mentioned in:

    1. Inflation Expectations: How Credibility Pays Off
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2014-07-31 17:19:31

    Mentioned in:

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

    Mentioned in:

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

    Mentioned in:

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

    Mentioned in:

    1. Recent reading
      by Francisco in EconWeekly on 2010-11-23 20:40:00
  4. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.

    Mentioned in:

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

RePEc Biblio mentions

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

    Mentioned in:

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

    Mentioned in:

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

    Mentioned in:

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

Wikipedia or ReplicationWiki mentions

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

    Mentioned in:

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

    Mentioned in:

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

    Mentioned in:

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

Working papers

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

    Cited by:

    1. Barbara Rossi & Atsushi Inoue & Yiru Wang, 2024. "Has the Phillips curve flattened?," French Stata Users' Group Meetings 2024 22, Stata Users Group.
    2. Uwe Hassler & Marc-Oliver Pohle & Tanja Zahn, 2025. "Simultaneous Inference Bands for Autocorrelations," Papers 2503.18560, arXiv.org.
    3. Divino, Jose Angelo & da Silva, Adriana Gomes, 2024. "Cash transfers and the Phillips curve: The case of Brazil during the pandemic," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 680-688.
    4. Brzozowski, Michał & Siwińska-Gorzelak, Joanna, 2024. "Did robots make wages less responsive to unemployment?," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    5. Pascal Michaillat & Emmanuel Saez, 2024. "Beveridgean Phillips Curve," Papers 2401.12475, arXiv.org, revised Oct 2024.
    6. Durand, Luigi & Fornero, Jorge Alberto, 2024. "Estimating the output gap in times of COVID-19," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    7. Ferri, Piero & Cristini, Annalisa & Tramontana, Fabio, 2023. "Meta-models of the Phillips curve and income distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 215-232.
    8. Haschka, Rouven E., 2024. "Examining the New Keynesian Phillips Curve in the U.S.: Why has the relationship between inflation and unemployment weakened?," Research in Economics, Elsevier, vol. 78(4).
    9. Pierpaolo Benigno & Gauti B. Eggertsson, 2023. "It’s Baaack: The Surge in Inflation in the 2020s and the Return of the Non-Linear Phillips Curve," NBER Working Papers 31197, National Bureau of Economic Research, Inc.
    10. Bill Dupor & Marie Hogan & Jingchao Li, 2024. "A Decomposition of the Phillips Curve’s Flattening," Working Papers 2025-002, Federal Reserve Bank of St. Louis.

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

    Cited by:

    1. Junko Koeda & Yoichi Ueno, 2022. "A Preferred Habitat View of Yield Curve Control," Bank of Japan Working Paper Series 22-E-7, Bank of Japan.
    2. Patrick Aldridge & David Cimon & Rishi Vala, 2023. "Central Bank Crisis Interventions: A Review of the Recent Literature on Potential Costs," Discussion Papers 2023-30, Bank of Canada.
    3. Stephen Anthony & Hamid Yahyaei, 2022. "Bringing Credibility Back to Macroeconomic Policy Frameworks," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 276-295, September.
    4. Gauti B. Eggertsson & Sergey K. Egiev, 2024. "Liquidity Traps: A Unified Theory of the Great Depression and Great Recession," NBER Working Papers 33195, National Bureau of Economic Research, Inc.
    5. Richard Finlay & Dmitry Titkov & Michelle Xiang, 2022. "The Yield and Market Function Effects of the Reserve Bank of Australia's Bond Purchases," RBA Research Discussion Papers rdp2022-02, Reserve Bank of Australia.
    6. Jonathan Hambur & Qazi Haque, 2023. "Can we use high-frequency yield data to better understand the effects of monetary policy and its communication? Yes and no!," School of Economics and Public Policy Working Papers 2023-03 Classification-E4, University of Adelaide, School of Economics and Public Policy.

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

    Cited by:

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

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

    Cited by:

    1. Philippe Andrade & Filippo Ferroni & Leonardo Melosi, 2025. "Higher-order Moment Inequality Restrictions for SVARs," Working Papers 25-3, Federal Reserve Bank of Boston.
    2. Jordi Brandts & Sabrine El Baroudi & Stefanie Huber & Christina Rott, 2022. "Gender Differences in Private and Public Goal Setting," Tinbergen Institute Discussion Papers 22-008/II, Tinbergen Institute.
    3. Carriero, Andrea & Marcellino, Massimiliano & Tornese, Tommaso, 2022. "Blended Identification in Structural VARs," CEPR Discussion Papers 17640, C.E.P.R. Discussion Papers.
    4. Piotr Zwiernik & Geert Mesters, 2022. "Non-Independent Components Analysis," Working Papers 1358, Barcelona School of Economics.
    5. Philippe Andrade & Filippo Ferroni & Leonardo Melosi, 2023. "Identification Using Higher-Order Moments Restrictions," Working Paper Series WP 2023-28, Federal Reserve Bank of Chicago.
    6. Lee, Adam & Mesters, Geert, 2024. "Locally robust inference for non-Gaussian linear simultaneous equations models," Journal of Econometrics, Elsevier, vol. 240(1).
    7. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    9. Emanuele Bacchiocchi & Toru Kitagawa, 2025. "Locally- but not Globally-identified SVARs," Papers 2504.01441, arXiv.org.
    10. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    11. Lukas Hoesch & Adam Lee & Geert Mesters, 2024. "Locally robust inference for non‐Gaussian SVAR models," Quantitative Economics, Econometric Society, vol. 15(2), pages 523-570, May.
    12. Jarociński, Marek, 2021. "Estimating the Fed’s Unconventional Policy Shocks," Working Paper Series 20210, European Central Bank.
    13. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.
    14. Christiane Baumeister, 2025. "Comment on "Local Projections or VARs? A Primer for Macroeconomists"," NBER Chapters, in: NBER Macroeconomics Annual 2025, volume 40, National Bureau of Economic Research, Inc.
    15. Sascha A. Keweloh & Mathias Klein & Jan Pruser, 2023. "Estimating Fiscal Multipliers by Combining Statistical Identification with Potentially Endogenous Proxies," Papers 2302.13066, arXiv.org, revised May 2024.

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

    Cited by:

    1. Régis Barnichon & Geert Mesters, 2020. "Optimal policy perturbations," Economics Working Papers 1716, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Régis Barnichon & Geert Mesters, 2023. "A Sufficient Statistics Approach for Macro Policy," American Economic Review, American Economic Association, vol. 113(11), pages 2809-2845, November.
    3. Galí, Jordi & Andrade, Philippe & Le Bihan, Hervé & Matheron, Julien, 2018. "The Optimal Inflation Target and the Natural Rate of Interest," CEPR Discussion Papers 12723, C.E.P.R. Discussion Papers.
    4. Ellen Ryan & Karl Whelan, 2021. "A Model of QE, Reserve Demand and the Money Multiplier," Working Papers 202107, School of Economics, University College Dublin.
    5. Edward Nelson, 2021. "The Emergence of Forward Guidance As a Monetary Policy Tool," Finance and Economics Discussion Series 2021-033, Board of Governors of the Federal Reserve System (U.S.).
    6. Callum Jones & Mariano Kulish & James Morley, 2022. "A Structural Measure of the Shadow Federal Funds Rate," Working Papers 170, Red Nacional de Investigadores en Economía (RedNIE).
    7. Eric T. Swanson, 2023. "The Macroeconomic Effects of the Federal Reserve's Conventional and Unconventional Monetary Policies," NBER Working Papers 31603, National Bureau of Economic Research, Inc.
    8. Dario Caldara & Etienne Gagnon & Enrique Martínez García & Christopher J. Neely, 2020. "Monetary Policy and Economic Performance since the Financial Crisis," Finance and Economics Discussion Series 2020-065, Board of Governors of the Federal Reserve System (U.S.).
    9. Kristin Forbes, 2019. "Inflation Dynamics: Dead, Dormant, or Determined Abroad?," NBER Working Papers 26496, National Bureau of Economic Research, Inc.
    10. Böhl, Gregor & Goy, Gavin & Strobel, Felix, 2020. "A structural investigation of quantitative easing," IMFS Working Paper Series 142, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    11. Bjarni G. Einarsson, 2024. "Online Monitoring of Policy Optimality," Economics wp95, Department of Economics, Central bank of Iceland.
    12. Masahiko Shibamoto & Wataru Takahashi & Takashi Kamihigashi, 2023. "Japan’s monetary policy: a literature review and empirical assessment," Journal of Computational Social Science, Springer, vol. 6(2), pages 1215-1254, October.
    13. Philippe Andrade & Filippo Ferroni, 2016. "Delphic and Odyssean monetary policy shocks: Evidence from the euro-area," School of Economics Discussion Papers 1216, School of Economics, University of Surrey.
    14. Chen, Zhengyang, 2019. "The Long-term Rate and Interest Rate Volatility in Monetary Policy Transmission," MPRA Paper 96339, University Library of Munich, Germany.
    15. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2020. "Testing the effectiveness of unconventional monetary policy in Japan and the United States," Papers 2012.15158, arXiv.org, revised Nov 2023.
    16. Susana Párraga & Pedro del Río & Juan Luis Vega, 2019. "The Federal Reserve review of its monetary policy framework," Economic Bulletin, Banco de España, issue DEC.
    17. Geert Mesters & Régis Barnichon, 2020. "A Sufficient Statistics Approach for Macro Policy Evaluation," Working Papers 1171, Barcelona School of Economics.
    18. John B. Taylor, 2021. "Simple monetary rules: many strengths and few weaknesses," European Journal of Law and Economics, Springer, vol. 52(2), pages 267-283, December.
    19. Anna Bartocci & Alessandro Notarpietro & Massimiliano Pisani, 2023. "Non‐standard monetary policy measures in non‐normal times," International Finance, Wiley Blackwell, vol. 26(1), pages 19-35, April.
    20. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time‐Series Regressions Tell Us About Policy Counterfactuals?," Econometrica, Econometric Society, vol. 91(5), pages 1695-1725, September.
    21. Ma, Liang, 2024. "Using stock prices to help identify unconventional monetary policy shocks for external instrument SVAR," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1234-1247.
    22. Couture, Cody, 2021. "Financial market effects of FOMC projections," Journal of Macroeconomics, Elsevier, vol. 67(C).
    23. Carl E. Walsh, 2019. "Alternatives to Inflation Targeting in Low Interest Rate Environments," IMES Discussion Paper Series 19-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
    24. Mertens, Karel & Lewis, Daniel & Makridis, Christos, 2020. "Do Monetary Policy Announcements Shift Household Expectations?," CEPR Discussion Papers 14360, C.E.P.R. Discussion Papers.
    25. Kang, Hyunju & Park, Jaevin & Suh, Hyunduk, 2020. "The rise of part-time employment in the great recession: Its causes and macroeconomic effects," Journal of Macroeconomics, Elsevier, vol. 66(C).
    26. Michael Ellington, 2022. "The Empirical Relevance of the Shadow Rate and the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1605-1635, September.
    27. Richard H. Clarida, 2022. "The Federal Reserve's New Framework: Context and Consequences," Finance and Economics Discussion Series 2022-001, Board of Governors of the Federal Reserve System (U.S.).
    28. Adam Hale Shapiro, "undated". "Decomposing Supply and Demand Driven Inflation," RBA Annual Conference Papers acp2023-03, Reserve Bank of Australia, revised Nov 2023.
    29. Steven Diamond & Stephen Boyd & David Greenberg & Mykel Kochenderfer & Andrew Ang, 2021. "Optimal Claiming of Social Security Benefits," Papers 2106.00125, arXiv.org.
    30. Davtyan, Karen, 2023. "Unconventional monetary policy and economic inequality," Economic Modelling, Elsevier, vol. 126(C).
    31. Sophocles N. Brissimis & Evangelia A. Georgiou, 2022. "The effects of Federal Reserve's quantitative easing and balance sheet normalization policies on long-term interest rates," Working Papers 299, Bank of Greece.
    32. Gökhan Ider & Alexander Kriwoluzky & Frederik Kurcz & Ben Schumann, 2024. "Friend, Not Foe - Energy Prices and European Monetary Policy," Discussion Papers of DIW Berlin 2089, DIW Berlin, German Institute for Economic Research.
    33. Falk Bräuning & Viacheslav Sheremirov, 2023. "The Transmission Mechanisms of International Business Cycles: International Trade and the Foreign Effects of US Monetary Policy," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 300-325, March.
    34. Fernando M. Duarte & Benjamin K. Johannsen & Leonardo Melosi & Taisuke Nakata, 2020. "Strengthening the FOMC’s Framework in View of the Effective Lower Bound and Some Considerations Related to Time-Inconsistent Strategies," Finance and Economics Discussion Series 2020-067, Board of Governors of the Federal Reserve System (U.S.).
    35. Mark A. Carlson & Stefania D'Amico & Cristina Fuentes-Albero & Bernd Schlusche & Paul R. Wood, 2020. "Issues in the Use of the Balance Sheet Tool," Finance and Economics Discussion Series 2020-071, Board of Governors of the Federal Reserve System (U.S.).
    36. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    37. Adam Hale Shapiro, 2022. "Decomposing Supply and Demand Driven Inflation," Working Paper Series 2022-18, Federal Reserve Bank of San Francisco.

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

    Cited by:

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

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

    Cited by:

    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.

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

    Cited by:

    1. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    2. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
    3. Kerssenfischer, Mark & Helmus, Caspar, 2024. "Outages in sovereign bond markets," Working Paper Series 2944, European Central Bank.
    4. Christian Conrad & Julius Theodor Schoelkopf & Nikoleta Tushteva, 2023. "Long-Term Volatility Shapes the Stock Market’s Sensitivity to News," Working Paper series 23-16, Rimini Centre for Economic Analysis.
    5. Ricardo Nunes & Ali Ozdagli & Jenny Tang, 2023. "Interest Rate Surprises: A Tale of Two Shocks," Discussion Papers 2320, Centre for Macroeconomics (CFM).
    6. Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, Queen Mary University of London, School of Economics and Finance.
    7. Fatum, Rasmus & Hattori, Takahiro & Yamamoto, Yohei, 2023. "Reserves and risk: Evidence from China," Journal of International Money and Finance, Elsevier, vol. 134(C).
    8. Ann Xing, Bingxin & Feunou, Bruno & Nongni-Donfack, Morvan & Sekkel, Rodrigo, 2024. "U.S. macroeconomic news and low-frequency changes in bond yields in Canada, Sweden and the U.K," Journal of Banking & Finance, Elsevier, vol. 168(C).
    9. Filippo Pallotti & Gonzalo Paz-Pardo & Jiri Slacalek & Oreste Tristani & Giovanni L. Violante, 2023. "Who Bears the Costs of Inflation? Euro Area Households and the 2021–2023 Shock," NBER Working Papers 31896, National Bureau of Economic Research, Inc.
    10. Luca Vincenzo Ballestra & Enzo D’Innocenzo & Andrea Guizzardi, 2024. "Score-Driven Modeling with Jumps: An Application to S&P500 Returns and Options," Journal of Financial Econometrics, Oxford University Press, vol. 22(2), pages 375-406.
    11. Philippe Andrade & Filippo Ferroni, 2016. "Delphic and Odyssean monetary policy shocks: Evidence from the euro-area," School of Economics Discussion Papers 1216, School of Economics, University of Surrey.
    12. Ostapenko, Nataliia, 2020. "Central Bank Communication: Information and Policy shocks," MPRA Paper 104501, University Library of Munich, Germany, revised 21 Jun 2020.
    13. Christoph E. Boehm & Niklas Kroner, 2023. "The US, Economic News, and the Global Financial Cycle," International Finance Discussion Papers 1371, Board of Governors of the Federal Reserve System (U.S.).
    14. Daniel J. Lewis, 2019. "Announcement-Specific Decompositions of Unconventional Monetary Policy Shocks and Their Macroeconomic Effects," Staff Reports 891, Federal Reserve Bank of New York.
    15. Bingxin Ann Xing & Bruno Feunou & Morvan Nongni-Donfack & Rodrigo Sekkel, 2024. "U.S. Macroeconomic News and Low-Frequency Changes in Small Open Economies’ Bond Yields," Staff Working Papers 24-12, Bank of Canada.
    16. Christoph Boehm & T. Niklas Kroner, 2024. "Monetary Policy without Moving Interest Rates: The Fed Non-Yield Shock," NBER Working Papers 32636, National Bureau of Economic Research, Inc.
    17. McMahon, Michael & , & Tong, Matthew, 2019. "The Long-Run Information Effect of Central Bank Communication," CEPR Discussion Papers 13438, C.E.P.R. Discussion Papers.
    18. 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.).
    19. Cieslak, Anna & Pang, Hao, 2020. "Common shocks in stocks and bonds," CEPR Discussion Papers 14708, C.E.P.R. Discussion Papers.
    20. Arbatli-Saxegaard, Elif & Furceri, Davide & Gonzalez Dominguez, Pablo & Ostry, Jonathan & Peiris, Shanaka, 2022. "Spillovers from US Monetary Shocks: Role of Policy Drivers and Cyclical Conditions," ADBI Working Papers 1317, Asian Development Bank Institute.
    21. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
    22. Pallotti, Filippo & Paz-Pardo, Gonzalo & Slacalek, Jiri & Tristani, Oreste & Violante, Giovanni L., 2023. "Who bears the costs of inflation? Euro area households and the 2021–2022 shock," Working Paper Series 2877, European Central Bank.
    23. Canetg, Fabio & Kaufmann, Daniel, 2022. "Overnight rate and signalling effects of central bank bills," European Economic Review, Elsevier, vol. 143(C).
    24. Cieslak, Anna & Pang, Hao, 2021. "Common shocks in stocks and bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 880-904.
    25. Xu Zhang, 2021. "A New Measure of Monetary Policy Shocks," Staff Working Papers 21-29, Bank of Canada.
    26. Bruno Feunou & James Kyeong & Raisa Leiderman, 2018. "Markets Look Beyond the Headline," Staff Analytical Notes 2018-37, Bank of Canada.
    27. Hack, Lukas & Rostam-Afschar, Davud, 2025. "Which Macroeconomic News Matters for Price-Setting?," IZA Discussion Papers 17935, Institute of Labor Economics (IZA).
    28. Ji, Sunan & Zheng, Dazhi & Zhou, Kaiguo, 2025. "Financial risk contagion across markets in China under the impact of the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 71(C).
    29. Griller, Stefan & Huber, Florian & Pfarrhofer, Michael, 2024. "Financial markets and legal challenges to unconventional monetary policy," European Economic Review, Elsevier, vol. 163(C).
    30. Kerssenfischer, Mark & Schmeling, Maik, 2022. "What moves markets?," Discussion Papers 16/2022, Deutsche Bundesbank.
    31. Rongrong Sun, 2018. "Monetary Policy Announcements and Market Interest Rates Response: Evidence from China," CFDS Discussion Paper Series 2018/5, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    32. Luca Brugnolini & Antonello D’Agostino & Alex Tagliabracci, 2021. "Is Anything Predictable in Market-Based Surprises?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 387-410, November.

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

    Cited by:

    1. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    2. Michael D. Bauer & Carolin Pflueger & Adi Sunderam, 2023. "Perceptions about Monetary Policy," Working Paper Series 2023-31, Federal Reserve Bank of San Francisco.
    3. Robin Greenwood & Samuel Hanson & Dimitri Vayanos, 2023. "Supply and Demand and the Term Structure of Interest Rates," NBER Working Papers 31879, National Bureau of Economic Research, Inc.
    4. Du, Wenxin & Hebert, Benjamin & Li, Wenhao, 2022. "Intermediary Balance Sheets and the Treasury Yield Curve," Research Papers 4036, Stanford University, Graduate School of Business.
    5. Vedolin, Andrea & Leombroni, Matteo & , & Whelan, Paul, 2018. "Central Bank Communication and the Yield Curve," CEPR Discussion Papers 12970, C.E.P.R. Discussion Papers.
    6. Guimaraes, Rodrigo & Pinter, Gabor & Wijnandts, Jean-Charles, 2023. "The liquidity state-dependence of monetary policy transmission," Bank of England working papers 1045, Bank of England.
    7. Andreas Fuster & David O. Lucca & James Vickery, 2022. "Mortgage-Backed Securities," Staff Reports 1001, Federal Reserve Bank of New York.
    8. David O. Lucca & Jonathan H. Wright, 2022. "The Narrow Channel of Quantitative Easing: Evidence from YCC Down Under," Staff Reports 1013, Federal Reserve Bank of New York.
    9. Kelly Shue & Richard Townsend & Chen Wang, 2024. "Categorical Thinking About Interest Rates," CESifo Working Paper Series 11558, CESifo.
    10. Lou, Dong & Pinter, Gabor & Üslü, Semih & Walker, Danny, 2025. "Yield drifts when issuance comes before macro news," Journal of Financial Economics, Elsevier, vol. 165(C).
    11. Maciej Stefański, 2023. "Quantitative Easing During the COVID-19 Pandemic: A Cross-Country Study," KAE Working Papers 2023-088, Warsaw School of Economics, Collegium of Economic Analysis.

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

    Cited by:

    1. Jing Cynthia Wu & Yinxi Xie & Ji Zhang, 2024. "The Role of International Financial Integration in Monetary Policy Transmission," Staff Working Papers 24-3, Bank of Canada.
    2. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    3. Kota Ikkatai & Takuji Kawamoto & Kenichi Sakura, 2024. "Japan's Unconventional Monetary Policy and the Exchange Rate Dynamics," Bank of Japan Working Paper Series 24-E-23, Bank of Japan.
    4. Atsushi Inoue & Barbara Rossi, 2019. "A New Approach to Measuring Economic Policy Shocks, with an Application to Conventional and Unconventional Monetary Policy," Working Papers 1082, Barcelona School of Economics.
    5. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
    6. Eric T. Swanson, 2017. "Measuring the Effects of Federal Reserve Forward Guidance and Asset Purchases on Financial Markets," NBER Working Papers 23311, National Bureau of Economic Research, Inc.
    7. Yang, Yang & Zhang, Jiqiang, 2021. "Effects of monetary policy on the exchange rates: A Time-varying analysis," Finance Research Letters, Elsevier, vol. 43(C).
    8. Cosmas Dery & Apostolos Serletis, 2021. "Disentangling the Effects of Uncertainty, Monetary Policy and Leverage Shocks on the Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1029-1065, October.
    9. Sebastian K. Rüth & Wouter Van der Veken, 2023. "Monetary policy and exchange rate anomalies in set‐identified SVARs: Revisited," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 1085-1092, November.
    10. Stéphane Lhuissier & Urszula Szczerbowicz, 2018. "Monetary Policy and Corporate Debt Structure," Working papers 697, Banque de France.
    11. Bu, Chunya & Rogers, John & Wu, Wenbin, 2021. "A unified measure of Fed monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 331-349.
    12. Atsushi Inoue & Barbara Rossi, 2018. "The effects of conventional and unconventional monetary policy on exchange rates," Economics Working Papers 1639, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Prabheesh, K.P. & Padhan, Rakesh & Bhat, Javed Ahmad, 2024. "Do financial markets react to emerging economies’ asset purchase program? Evidence from the COVID-19 pandemic period," Journal of Asian Economics, Elsevier, vol. 90(C).
    14. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    15. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher & Florian Huber, 2019. "Spillovers from US monetary policy: evidence from a time varying parameter global vector auto‐regressive model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 831-861, June.
    16. Du, Wenxin & Hebert, Benjamin & Li, Wenhao, 2022. "Intermediary Balance Sheets and the Treasury Yield Curve," Research Papers 4036, Stanford University, Graduate School of Business.
    17. HA, JONGRIM & Kim, Dohan & Kose, Ayhan M., 2024. "Resolving Puzzles of Monetary Policy Transmission in Emerging Markets," MPRA Paper 122624, University Library of Munich, Germany.
    18. Grahame Johnson & Sharon Kozicki & Romanos Priftis & Lena Suchanek & Jonathan Witmer & Jing Yang, 2020. "Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature," Discussion Papers 2020-16, Bank of Canada.
    19. Goodhead, Robert, 2024. "The economic impact of yield curve compression: Evidence from euro area forward guidance and unconventional monetary policy," European Economic Review, Elsevier, vol. 164(C).
    20. Karau, Sören, 2024. "Relative monetary policy and exchange rates," Discussion Papers 40/2024, Deutsche Bundesbank.
    21. Daniel Gründler & Eric Mayer & Johann Scharler, 2021. "Monetary Policy Announcements, Information Schocks, and Exchange Rate Dynamics," Working Papers 2021-16, Faculty of Economics and Statistics, Universität Innsbruck.
    22. Eric T. Swanson, 2023. "The Macroeconomic Effects of the Federal Reserve's Conventional and Unconventional Monetary Policies," NBER Working Papers 31603, National Bureau of Economic Research, Inc.
    23. Nihar Shah, 2022. "Doubly heterogeneous monetary spillovers," International Finance, Wiley Blackwell, vol. 25(2), pages 126-150, August.
    24. Nie, Li & Wang, Yulong & Shi, Kai, 2025. "Financial market responses to the policy language of forward guidance: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 317-335.
    25. van der Zwan, Terri & Kole, Erik & van der Wel, Michel, 2024. "Heterogeneous macro and financial effects of ECB asset purchase programs," Journal of International Money and Finance, Elsevier, vol. 143(C).
    26. J. Scott Davis & Michael B. Devereux & Changhua Yu, 2020. "Sudden Stops in Emerging Economies: The Role of World Interest Rates and Foreign Exchange Intervention," Globalization Institute Working Papers 405, Federal Reserve Bank of Dallas, revised 10 Sep 2021.
    27. Holtemöller, Oliver & Kriwoluzky, Alexander & Kwak, Boreum, 2024. "Is there an information channel of monetary policy?," IWH Discussion Papers 17/2020, Halle Institute for Economic Research (IWH), revised 2024.
    28. Felipe Beltrán, 2023. "Global monetary policy surprises and their transmission to emerging market economies: an external VAR analysis," Working Papers Central Bank of Chile 975, Central Bank of Chile.
    29. Wang, Ling, 2022. "The dynamics of money supply determination under asset purchase programs: A market-based versus a bank-based financial system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    30. Georgiadis, Georgios & Jarociński, Marek, 2023. "Global spillovers from multi-dimensional US monetary policy," Working Paper Series 2881, European Central Bank.
    31. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.
    32. Malliaropulos, Dimitris & Migiakis, Petros, 2023. "A global monetary policy factor in sovereign bond yields," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 445-465.
    33. Hashmi, Aamir Rafique & Nsafoah, Dennis, 2024. "International spillovers of conventional versus new monetary policy," Economic Modelling, Elsevier, vol. 139(C).
    34. Dossani, Asad, 2024. "Monetary policy and currency variance risk premia," Research in International Business and Finance, Elsevier, vol. 69(C).
    35. Burger, John D. & Warnock, Francis E. & Warnock, Veronica Cacdac, 2018. "Currency matters: Analyzing international bond portfolios," Journal of International Economics, Elsevier, vol. 114(C), pages 376-388.
    36. Barbara Rossi, 2019. "Identifying and Estimating the Effects of Unconventional Monetary Policy in the Data: How to Do It and What Have We Learned?," Working Papers 1081, Barcelona School of Economics.
    37. Mueller, Philippe & Tahbaz-Salehi, Alireza & Vedolin, Andrea, 2016. "Exchange rates and monetary policy uncertainty," LSE Research Online Documents on Economics 118998, London School of Economics and Political Science, LSE Library.
    38. Stenfors, Alexis & Chatziantoniou, Ioannis & Gabauer, David, 2022. "Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    39. Giovanni Angelini & Luca Fanelli, 2019. "Exogenous uncertainty and the identification of structural vector autoregressions with external instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 951-971, September.
    40. Mirela Miescu, 2019. "Uncertainty shocks in emerging economies," Working Papers 277077821, Lancaster University Management School, Economics Department.
    41. Camehl, Annika & von Schweinitz, Gregor, 2023. "What explains international interest rate co-movement?," IWH Discussion Papers 3/2023, Halle Institute for Economic Research (IWH), revised 2023.
    42. Mandler, Martin & Scharnagl, Michael, 2020. "Estimating the effects of the Eurosystem's asset purchase programme at the country level," Discussion Papers 29/2020, Deutsche Bundesbank.
    43. Rüth, Sebastian K., 2020. "Shifts in monetary policy and exchange rate dynamics: Is Dornbusch's overshooting hypothesis intact, after all?," Journal of International Economics, Elsevier, vol. 126(C).
    44. Aymeric Ortmans, 2020. "Evolving Monetary Policy in the Aftermath of the Great Recession," Documents de recherche 20-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    45. Ma, Chang & Rogers, John H. & Zhou, Sili, 2020. "The effect of the China Connect," BOFIT Discussion Papers 1/2020, Bank of Finland Institute for Emerging Economies (BOFIT).
    46. Rossi, Barbara, 2019. "Identifying and Estimating the Effects of Unconventional Monetary Policy: How to Do It And What Have We Learned?," CEPR Discussion Papers 14064, C.E.P.R. Discussion Papers.
    47. Maurer, Tim D. & Nitschka, Thomas, 2023. "Stock market evidence on the international transmission channels of US monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 136(C).
    48. Tsai, I-Chun, 2020. "Alternative explanation of the money illusion: The effect of unexpected low inflation," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 110-123.
    49. Wang, Jialing & Eom, Young Ho & Jang, Woon Wook, 2024. "Stock market responses to unconventional monetary policy shocks," Economics Letters, Elsevier, vol. 244(C).
    50. Lucas F. Husted & John H. Rogers & Bo Sun, 2017. "Monetary Policy Uncertainty," International Finance Discussion Papers 1215, Board of Governors of the Federal Reserve System (U.S.).
    51. Patozi, A., 2023. "Green Transmission: Monetary Policy in the Age of ESG," Cambridge Working Papers in Economics 2311, Faculty of Economics, University of Cambridge.
    52. Husted, Lucas & Rogers, John & Sun, Bo, 2018. "Uncertainty, currency excess returns, and risk reversals," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 228-241.
    53. Schrimpf, Paul & Kearns, Jonathan & Ferrari, Massimo, 2017. "Monetary policy's rising FX impact in the era of ultra-low rates," CEPR Discussion Papers 11918, C.E.P.R. Discussion Papers.
    54. Ca' Zorzi, Michele & Dedola, Luca & Georgiadis, Georgios & Jarociński, Marek & Stracca, Livio & Strasser, Georg, 2020. "Monetary policy and its transmission in a globalised world," Working Paper Series 2407, European Central Bank.
    55. Serdar Kabaca & Kerem Tuzcuoglu, 2022. "International Transmission of Quantitative Easing Policies: Evidence from Canada," Staff Working Papers 22-30, Bank of Canada.
    56. Benjamin Gardner & Chiara Scotti & Clara Vega, 2021. "Words Speak as Loudly as Actions: Central Bank Communication and the Response of Equity Prices to Macroeconomic Announcements," Finance and Economics Discussion Series 2021-074, Board of Governors of the Federal Reserve System (U.S.).
    57. Nsafoah, Dennis & Dery, Cosmas, 2024. "Effect of conventional and unconventional monetary policy shocks on housing prices in Canada," Journal of Housing Economics, Elsevier, vol. 64(C).
    58. Caporin, Massimiliano & Pelizzon, Loriana & Plazzi, Alberto, 2020. "Does monetary policy impact international market co-movements?," SAFE Working Paper Series 276, Leibniz Institute for Financial Research SAFE.
    59. Phillip An & Karlye Dilts Stedman & Amaze Lusompa, 2025. "How High Does High Frequency Need to Be? A Comparison of Daily and Intradaily Monetary Policy Surprises," Research Working Paper RWP 25-03, Federal Reserve Bank of Kansas City.
    60. 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.
    61. Cesa-Bianchi, Ambrogio & Thwaites, Gregory & Vicondoa, Alejandro, 2020. "Monetary policy transmission in the United Kingdom: A high frequency identification approach," European Economic Review, Elsevier, vol. 123(C).
    62. Oliver Holtemöller & Alexander Kriwoluzky & Boreum Kwak, 2020. "Exchange Rates and the Information Channel of Monetary Policy," Discussion Papers of DIW Berlin 1906, DIW Berlin, German Institute for Economic Research.
    63. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," LSE Research Online Documents on Economics 125291, London School of Economics and Political Science, LSE Library.
    64. Stefano Fasani & Haroon Mumtaz & Lorenza Rossi, 2023. "Monetary Policy and Firm Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 278-296, January.
    65. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    66. Katagiri, Mitsuru & Takahashi, Koji, 2023. "Do term premiums matter? Transmission via exchange rate dynamics," Journal of International Money and Finance, Elsevier, vol. 139(C).
    67. Marco Pinchetti & Andrzej Szczepaniak, 2024. "Global Spillovers of the Fed Information Effect," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(2), pages 773-819, June.
    68. Ricardo J. Caballero & Gunes Kamber, 2019. "On the Global Impact of Risk-off Shocks and Policy-put Frameworks," NBER Working Papers 26031, National Bureau of Economic Research, Inc.
    69. Goto, Eiji, 2023. "Industry effects of unconventional monetary policy, within and across countries," Journal of International Money and Finance, Elsevier, vol. 136(C).
    70. Aksit, Derin, 2021. "Breaking the zero lower bound period: The shift across two unconventional policies," Economics Letters, Elsevier, vol. 198(C).
    71. Jean-Guillaume Sahuc & Grégory Levieuge & José Garcia-Revelo, 2024. "Revisiting 15 Years of Unusual Transatlantic Monetary Policies," EconomiX Working Papers 2024-13, University of Paris Nanterre, EconomiX.
    72. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur, 2021. "Combining negative rates, forward guidance and asset purchases: identification and impacts of the ECB’s unconventional policies," Working Paper Series 2564, European Central Bank.
    73. Wang, Ling, 2023. "Central bank asset purchases, banks’ risky security holdings and profitability: Macro and micro evidence from Japan and the U.S," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 347-364.
    74. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," Journal of International Money and Finance, Elsevier, vol. 148(C).
    75. Miescu, Mirela S., 2023. "Uncertainty shocks in emerging economies: A global to local approach for identification," European Economic Review, Elsevier, vol. 154(C).
    76. Davtyan, Karen, 2023. "Unconventional monetary policy and economic inequality," Economic Modelling, Elsevier, vol. 126(C).
    77. Gábor Dávid Kiss & Mercédesz Mészáros, 2020. "Gravity Among Central Bank Balance Sheets: Monetary Policy Spill-Over on FX Volatility," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(1), pages 33-57, June.
    78. Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
    79. Mira Farka, 2022. "The credit channel of monetary policy before and after the zero lower bound: Evidence from the US equity market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 633-693, September.
    80. Breitenlechner, Max & Gründler, Daniel & Scharler, Johann, 2021. "Unconventional monetary policy announcements and information shocks in the U.S," Journal of Macroeconomics, Elsevier, vol. 67(C).
    81. Kilman, Josefin, 2020. "Monetary Policy and Income Inequality in the United States: The Role of Labor Unions," Working Papers 2020:10, Lund University, Department of Economics, revised 20 Sep 2022.
    82. Don H. Kim & Marcelo Ochoa, 2021. "International Yield Spillovers," Finance and Economics Discussion Series 2021-001, Board of Governors of the Federal Reserve System (U.S.).
    83. Hou, Ai Jun & Khrashchevskyi, Ian & Suardi, Sandy & Xu, Caihong, 2024. "Spillover effects of monetary policy and information shocks," Finance Research Letters, Elsevier, vol. 62(PA).
    84. Masahiro Inoguchi, 2021. "The impact of foreign capital flows on long‐term interest rates in emerging and advanced economies," Review of International Economics, Wiley Blackwell, vol. 29(2), pages 268-295, May.
    85. Solís, Pavel, 2025. "Term premia and credit risk in emerging markets: The role of U.S. monetary policy," Journal of International Economics, Elsevier, vol. 154(C).

  11. Yıldız Akkaya & Refet S. Gürkaynak & Burçin Kısacıkoğlu & Jonathan H. Wright, 2015. "Forward Guidance and Asset Prices," IMES Discussion Paper Series 15-E-06, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Kliem, Martin & Meyer-Gohde, Alexander, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers 2017-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    3. Lemke, Wolfgang & Vladu, Andreea Liliana, 2017. "Below the zero lower bound: a shadow-rate term structure model for the euro area," Working Paper Series 1991, European Central Bank.
    4. Lucas F. Husted & John H. Rogers & Bo Sun, 2017. "Monetary Policy Uncertainty," International Finance Discussion Papers 1215, Board of Governors of the Federal Reserve System (U.S.).
    5. Yushi Endo & Takushi Kurozumi & Takemasa Oda & Kenichirou Watanabe, 2015. "Monetary Policy: Its Effects and Implementation: Summary of the 2015 BOJ-IMES Conference Organized by the Institute for Monetary and Economic Studies of the Bank of Japan," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 33, pages 1-24, November.

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

    Cited by:

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

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

    Cited by:

    1. Peter Hördahl & Eli M Remolona & Giorgio Valente, 2015. "Expectations and risk premia at 8:30am: Macroeconomic announcements and the yield curve," BIS Working Papers 527, Bank for International Settlements.
    2. Harju, Antti J., 2024. "Target rate factors in short rate models," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    3. Karol Gellert & Erik Schlogl, 2021. "Short Rate Dynamics: A Fed Funds and SOFR Perspective," Research Paper Series 420, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Claudio Fontana & Zorana Grbac & Sandrine Gümbel & Thorsten Schmidt, 2020. "Term structure modelling for multiple curves with stochastic discontinuities," Post-Print hal-03898927, HAL.
    5. Claudio Fontana & Zorana Grbac & Sandrine Gümbel & Thorsten Schmidt, 2020. "Term structure modelling for multiple curves with stochastic discontinuities," Finance and Stochastics, Springer, vol. 24(2), pages 465-511, April.
    6. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "Sure Profits via Flash Strategies and the Impossibility of Predictable Jumps," Research Paper Series 385, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Tunaru, Diana, 2017. "Gaussian estimation and forecasting of the U.K. yield curve with multi-factor continuous-time models," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 119-129.
    8. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "On the existence of sure profits via flash strategies," Papers 1708.03099, arXiv.org, revised Jul 2019.
    9. Martin Keller-Ressel & Thorsten Schmidt & Robert Wardenga, 2018. "Affine processes beyond stochastic continuity," Papers 1804.07556, arXiv.org, revised Dec 2018.
    10. Backwell, Alex & Hayes, Joshua, 2022. "Expected and Unexpected Jumps in the Overnight Rate: Consistent Management of the Libor Transition," Journal of Banking & Finance, Elsevier, vol. 145(C).
    11. Claudio Fontana & Zorana Grbac & Sandrine Gumbel & Thorsten Schmidt, 2018. "Term structure modeling for multiple curves with stochastic discontinuities," Papers 1810.09882, arXiv.org, revised Dec 2019.
    12. Alan Brace & Karol Gellert & Erik Schlögl, 2024. "SOFR term structure dynamics—Discontinuous short rates and stochastic volatility forward rates," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(6), pages 936-985, June.

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

    Cited by:

    1. Jeanne, Olivier & Son, Jeongwon, 2024. "To what extent are tariffs offset by exchange rates?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    2. Dedola, Luca & Georgiadis, Georgios & Gräb, Johannes & Mehl, Arnaud, 2018. "Does a big bazooka matter? Central bank balance-sheet policies and exchange rates," Working Paper Series 2197, European Central Bank.
    3. Fukuda, Shin-ichi, 2015. "Abenomics: Why was it so successful in changing market expectations?," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 1-20.
    4. Eksi, Ozan & Tas, Bedri Kamil Onur, 2017. "Unconventional monetary policy and the stock market’s reaction to Federal Reserve policy actions," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 136-147.
    5. Zheyao Pan, 2018. "A state‐price volatility index for the U.S. government bond market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 573-597, November.
    6. Douglas L. Campbell & Lester Lusher, 2018. "The Impact of Real Exchange Rate Shocks on Manufacturing Workers: An Autopsy from the MORG," Working Papers w0223, Center for Economic and Financial Research (CEFIR).
    7. Sergio Bianchi & Massimiliano Frezza, 2018. "Liquidity, Efficiency and the 2007-2008 Global Financial Crisis," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 375-404, November.
    8. Liu, Dehong & Gu, Hongmei & Xing, Tiancai, 2016. "The meltdown of the Chinese equity market in the summer of 2015," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 504-517.
    9. Atsushi Inoue & Barbara Rossi, 2019. "A New Approach to Measuring Economic Policy Shocks, with an Application to Conventional and Unconventional Monetary Policy," Working Papers 1082, Barcelona School of Economics.
    10. Stanley Fischer, 2016. "U.S. Monetary Policy from an International Perspective : a speech at the 20th Annual Conference of the Central Bank of Chile, Santiago, Chile (via videoconference), November 11, 2016," Speech 920, Board of Governors of the Federal Reserve System (U.S.).
    11. De Santis, Roberto A., 2020. "Impact of the Asset Purchase Programme on euro area government bond yields using market news," Economic Modelling, Elsevier, vol. 86(C), pages 192-209.
    12. Massimo Guidolin & Manuela Pedio, 2019. "Does the Cost of Private Debt Respond to Monetary Policy? Heteroskedasticity-Based Identification in a Model with Regimes," BAFFI CAREFIN Working Papers 19118, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    13. Zbyněk Revenda & Markéta Arltová, 2022. "Akcie, zlato a inflace - vztahy a souvislosti v posledních 25 letech [Stocks, Gold and Inflation - Relationships and Contexts Over the Last 25 Years]," Politická ekonomie, Prague University of Economics and Business, vol. 2022(3), pages 288-311.
    14. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn & Michailidis, George, 2019. "Interconnectedness in the interbank market," Journal of Financial Economics, Elsevier, vol. 133(2), pages 520-538.
    15. Anaya, Pablo & Hachula, Michael & Offermanns, Christian, 2015. "Spillovers of U.S. unconventional monetary policy to emerging markets: The role of capital flows," Discussion Papers 2015/35, Free University Berlin, School of Business & Economics.
    16. Ayelen Banegas & Gabriel Montes-Rojas & Lucas Siga, 2016. "Mutual Fund Flows, Monetary Policy and Financial Stability," Finance and Economics Discussion Series 2016-071, Board of Governors of the Federal Reserve System (U.S.).
    17. Annette Meinusch & Peter Tillmann, 2017. "Quantitative Easing and Tapering Uncertainty: Evidence from Twitter," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 227-258, December.
    18. Demir, Ishak & Eroglu, Burak A. & Yildirim-Karaman, Secil, 2021. "Heterogeneous effects of unconventional monetary policy on bond yields across the euro area," LEAF Working Paper Series 19-06, University of Lincoln, Lincoln International Business School, Lincoln Economics and Finance Research Group (LEAF), revised 2021.
    19. Hoek, Jasper & Kamin, Steve & Yoldas, Emre, 2022. "Are higher U.S. interest rates always bad news for emerging markets?," Journal of International Economics, Elsevier, vol. 137(C).
    20. Shin-ichi Fukuda & Tsutomu Doita, 2016. "Unconventional Monetary Policy and its External Effects: Evidence from Japan's Exports," The Developing Economies, Institute of Developing Economies, vol. 54(1), pages 59-79, March.
    21. Stéphane Lhuissier & Urszula Szczerbowicz, 2018. "Monetary Policy and Corporate Debt Structure," Working papers 697, Banque de France.
    22. Robert N. McCauley & Patrick McGuire & Vladyslav Sushko, 2015. "Global dollar credit: links to US monetary policy and leverage," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 30(82), pages 187-229.
    23. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    24. Francesco Casalena, 2024. "Back to normal? Assessing the Effects of the Federal Reserve's Quantitative Tightening," IHEID Working Papers 14-2024, Economics Section, The Graduate Institute of International Studies.
    25. Atsushi Inoue & Barbara Rossi, 2018. "The effects of conventional and unconventional monetary policy on exchange rates," Economics Working Papers 1639, Department of Economics and Business, Universitat Pompeu Fabra.
    26. Saroj Bhattarai & Christopher J. Neely, 2016. "An Analysis of the Literature on International Unconventional Monetary Policy," Working Papers 2016-021, Federal Reserve Bank of St. Louis, revised 04 May 2020.
    27. Canova, Fabio & Bluwstein, Kristina, 2015. "Beggar-thy-neighbor? The international effects of ECB unconventional monetary policy measures," CEPR Discussion Papers 10856, C.E.P.R. Discussion Papers.
    28. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher & Florian Huber, 2019. "Spillovers from US monetary policy: evidence from a time varying parameter global vector auto‐regressive model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 831-861, June.
    29. Joshua Aizenman, 2015. "Internationalization of the RMB, Capital Market Openness and Financial Reforms in China," Pacific Economic Review, Wiley Blackwell, vol. 20(3), pages 444-460, August.
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    3. Michael Redmond & Willem Van Zandweghe, 2016. "The Lasting Damage from the Financial Crisis to U.S. Productivity," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 39-64.
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    2. D. Georgoutsos & G. Moratis, 2021. "On the informative value of the EU-wide stress tests and the determinants of banks’ stock return reactions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 977-1008, November.
    3. Ahmed, Rashad, 2019. "Commodity Currencies and Causality: Some High-Frequency Evidence," MPRA Paper 98319, University Library of Munich, Germany, revised 25 Jan 2020.
    4. Pavel Gertler & Roman Horvath, 2017. "Market Reading of Central Bankers Words. A High-Frequency Evidence," Working and Discussion Papers WP 2/2017, Research Department, National Bank of Slovakia.
    5. Aakriti Mathur & Rajeswari Sengupta & Bhanu Pratap, 2022. "Saved by the bell? Equity market responses to surprise Covid-19 lockdowns and central bank interventions," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-001, Indira Gandhi Institute of Development Research, Mumbai, India.
    6. Christian Conrad & Julius Theodor Schoelkopf & Nikoleta Tushteva, 2023. "Long-Term Volatility Shapes the Stock Market’s Sensitivity to News," Working Paper series 23-16, Rimini Centre for Economic Analysis.
    7. Marcello Pericoli & Giovanni Veronese, 2015. "Forecaster heterogeneity, surprises and financial markets," Temi di discussione (Economic working papers) 1020, Bank of Italy, Economic Research and International Relations Area.
    8. Refet S. Gürkaynak & Hatice Gökce Karasoy-Can & Sang Seok Lee, 2019. "Stock Market's Assessment of Monetary Policy Transmission: The Cash Flow Effect," CESifo Working Paper Series 7898, CESifo.
    9. Carlo Altavilla & Domenico Giannone, 2014. "The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Survey Data," Working Papers ECARES ECARES 2014-30, ULB -- Universite Libre de Bruxelles.
    10. Christopher A. Hartwell & Paul M. Vaaler, 2023. "The Price of Empire: Unrest Location and Sovereign Risk in Tsarist Russia," Papers 2309.06885, arXiv.org, revised Nov 2023.
    11. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    12. Carlo Altavilla & Domenico Giannone & Michèle Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Working Papers ECARES ECARES 2014-34, ULB -- Universite Libre de Bruxelles.
    13. Andras Lengyel & Massimo Giuliodoril, 2020. "Demand shocks for public debt in the Eurozone," Working Papers 674, DNB.
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    15. Refet S. Gürkaynak & A. Hakan Kara & Burçin Kısacıkoğlu & Sang Seok Lee, 2020. "Monetary Policy Surprises and Exchange Rate Behavior," NBER Working Papers 27819, National Bureau of Economic Research, Inc.
    16. Elias Albagli & Luis Ceballos & Sebastián Claro & Damian Romero, 2018. "Channels of US monetary policy spillovers to international bond markets," BIS Working Papers 719, Bank for International Settlements.
    17. Ferroni, Filippo & Fisher, Jonas D.M. & Melosi, Leonardo, 2024. "Unusual shocks in our usual models," Journal of Monetary Economics, Elsevier, vol. 147(C).
    18. Bernhard, Severin & Ebner, Till, 2017. "Cross-border spillover effects of unconventional monetary policies on Swiss asset prices," Journal of International Money and Finance, Elsevier, vol. 75(C), pages 109-127.
    19. Steven Ambler & Fabio Rumler, 2017. "The Effectiveness of Unconventional Monetary Policy Announcements in the Euro Area: An Event and Econometric Study," Working Papers 212, Oesterreichische Nationalbank (Austrian Central Bank).
    20. B De Rezende, Rafael & Ristiniemi, Annukka, 2020. "A shadow rate without a lower bound constraint," Bank of England working papers 864, Bank of England.
    21. Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
    22. Alessandro Casini & Adam McCloskey, 2024. "Identification and Estimation of Causal Effects in High-Frequency Event Studies," Papers 2406.15667, arXiv.org, revised Oct 2024.
    23. Burak Eroglu & Secil Yildirim-Karaman, 2017. "Responses Of Term Structure Of Interest Rates And Asset Prices To Monetary Policy Shocks: Evidence From Turkey," Working Papers 1705, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    24. John H. Huston & Roger W. Spencer, 2016. "The Wealth Effects of Quantitative Easing," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(4), pages 471-486, December.
    25. Linda S. Goldberg & Christian Grisse, 2013. "Time Variation in Asset Price Responses to Macro Announcements," NBER Working Papers 19523, National Bureau of Economic Research, Inc.
    26. Gertler, Pavel & Horvath, Roman, 2018. "Central bank communication and financial markets: New high-frequency evidence," Journal of Financial Stability, Elsevier, vol. 36(C), pages 336-345.
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    28. Central Bank of the Republic of Türkiye, 2025. "The heterogeneous impact of monetary policy announcements on firms' financial outcomes," BIS Papers chapters, in: Bank for International Settlements (ed.), How can central banks take account of differences across households and firms for monetary policy?, volume 127, pages 295-330, Bank for International Settlements.
    29. Lorenzo Menna & Martín Tobal, 2021. "Communication of Credit Rating Agencies and Financial Markets," Working Papers 80, Red Nacional de Investigadores en Economía (RedNIE).
    30. Canetg, Fabio & Kaufmann, Daniel, 2022. "Overnight rate and signalling effects of central bank bills," European Economic Review, Elsevier, vol. 143(C).
    31. Anna Cieslak & Andreas Schrimpf, 2018. "Non-monetary news in central bank communication," BIS Working Papers 761, Bank for International Settlements.
    32. Schrimpf, Paul & Kearns, Jonathan & Ferrari, Massimo, 2017. "Monetary policy's rising FX impact in the era of ultra-low rates," CEPR Discussion Papers 11918, C.E.P.R. Discussion Papers.
    33. Mathur, Aakriti & Sengupta, Rajeswari & Pratap, Bhanu, 2024. "Equity market responses to surprise Covid-19 lockdowns: The role of pandemic-driven uncertainty," Journal of Asian Economics, Elsevier, vol. 91(C).
    34. Julio E. Sandubete & León Beleña & Juan Carlos García-Villalobos, 2023. "Testing the Efficient Market Hypothesis and the Model-Data Paradox of Chaos on Top Currencies from the Foreign Exchange Market (FOREX)," Mathematics, MDPI, vol. 11(2), pages 1-29, January.
    35. Alena Audzeyeva & Xu Wang, 2023. "Fundamentals, real-time uncertainty and CDS index spreads," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 1-33, July.
    36. Ali Ozdagli, 2013. "Not so fast: high-frequency financial data for macroeconomic event studies," Working Papers 13-19, Federal Reserve Bank of Boston.
    37. Maddalena Galardo & Cinzia Guerrieri, 2017. "The effects of central bank’s verbal guidance: evidence from the ECB," Temi di discussione (Economic working papers) 1129, Bank of Italy, Economic Research and International Relations Area.
    38. Strasser, Georg, 2017. "What determines the impact of macroeconomic news on asset markets?," Research Bulletin, European Central Bank, vol. 37.
    39. Ao Shu & Feiyang Cheng & Jianlei Han & Zini Liang & Zheyao Pan, 2023. "Arbitrage across different Bitcoin exchange venues: Perspectives from investor base and market related events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5183-5210, December.
    40. Ahmed, Rashad, 2019. "Currency Commodities and Causality: Some High-Frequency Evidence," MPRA Paper 96855, University Library of Munich, Germany.
    41. Pierpaolo Benigno & Paolo Canofari & Giovanni Di Bartolomeo & Marcello Messori, 2021. "The ECB's policy measures during the COVID-19 crisis," Working Papers in Public Economics 207, Department of Economics and Law, Sapienza University of Roma.
    42. Stracca, Livio, 2015. "Our currency, your problem? The global effects of the euro debt crisis," European Economic Review, Elsevier, vol. 74(C), pages 1-13.
    43. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    44. Guido Bulligan & Davide Delle Monache, 2018. "Financial markets effects of ECB unconventional monetary policy announcements," Questioni di Economia e Finanza (Occasional Papers) 424, Bank of Italy, Economic Research and International Relations Area.
    45. Blotevogel, Robert & Hudecz, Gergely & Vangelista, Elisabetta, 2024. "Asset purchases and sovereign bond spreads in the euro area during the pandemic," Journal of International Money and Finance, Elsevier, vol. 140(C).
    46. Li, Zehao, 2022. "Financial intermediary leverage and monetary policy transmission," European Economic Review, Elsevier, vol. 144(C).
    47. Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2017. "Is the intrinsic value of a macroeconomic news announcement related to its asset price impact?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 78-95.
    48. Mira Farka, 2022. "The credit channel of monetary policy before and after the zero lower bound: Evidence from the US equity market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 633-693, September.
    49. Hernández Vega Marco A., 2017. "Portfolio Investment Response to U.S. Monetary Policy Announcements: An Event Study Analysis Using High Frequency Data from Mexico," Working Papers 2017-02, Banco de México.
    50. Pavel Solís, 2023. "Does the Exchange Rate Respond to Monetary Policy in Mexico? Solving an Exchange Rate Puzzle in Emerging Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2093-2113, December.
    51. Bulusu, Narayan, 2024. "Disentangling the supply and announcement effects of open market operations," Journal of Financial Markets, Elsevier, vol. 67(C).
    52. Ahmed, Rashad, 2020. "Commodity currencies and causality: Some high-frequency evidence," Economics Letters, Elsevier, vol. 189(C).
    53. Bahaj, Saleem, 2020. "Sovereign spreads in the Euro area: Cross border transmission and macroeconomic implications," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 116-135.
    54. A. Ford Ramsey & Barry K. Goodwin & William F. Hahn & Matthew T. Holt, 2021. "Impacts of COVID‐19 and Price Transmission in U.S. Meat Markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 441-458, May.

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

    Cited by:

    1. Reis, Ricardo, 2016. "Funding quantitative easing to target inflation," LSE Research Online Documents on Economics 67883, London School of Economics and Political Science, LSE Library.
    2. Bianchi, Francesco & Melosi, Leonardo, 2013. "Escaping the Great Recession," CEPR Discussion Papers 9643, C.E.P.R. Discussion Papers.
    3. Deepa Dhume Datta & Juan M. Londono & Landon J. Ross, 2014. "Generating Options-Implied Probability Densities to Understand Oil Market Events," International Finance Discussion Papers 1122, Board of Governors of the Federal Reserve System (U.S.).
    4. Ryan Niladri Banerjee & Juan Contreras & Aaron Mehrotra & Fabrizio Zampolli, 2020. "Inflation at risk in advanced and emerging economies," BIS Working Papers 883, Bank for International Settlements.
    5. Roussellet, Guillaume, 2025. "The term structure of macroeconomic risks at the effective lower bound," Journal of Econometrics, Elsevier, vol. 248(C).
    6. Philippe Andrade & Ghysels, E. & Julien Idier., 2012. "Tails of Inflation Forecasts and Tales of Monetary Policy," Working papers 407, Banque de France.
    7. Hilscher, Jens & Raviv, Alon & Reis, Ricardo, 2022. "Inflating away the public debt? An empirical assessment," LSE Research Online Documents on Economics 107543, London School of Economics and Political Science, LSE Library.
    8. Jason Brown & Nida Çakır Melek & Johannes Matschke & Sai Sattiraju, 2023. "The Missing Tail Risk in Option Prices," Research Working Paper RWP 23-02, Federal Reserve Bank of Kansas City.
    9. Sayar Karmakar & Marek Chudý & Wei Biao Wu, 2022. "Long‐term prediction intervals with many covariates," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(4), pages 587-609, July.
    10. Thomas M. Mertens & John C. Williams, 2020. "What to Expect from the Lower Bound on Interest Rates: Evidence from Derivatives Prices," Working Paper Series 2018-03, Federal Reserve Bank of San Francisco.
    11. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    12. Chen, Ren-Raw & Hsieh, Pei-lin & Huang, Jeffrey, 2018. "Crash risk and risk neutral densities," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 162-189.
    13. Banerjee, Ryan & Contreras, Juan & Mehrotra, Aaron & Zampolli, Fabrizio, 2024. "Inflation at risk in advanced and emerging market economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
    14. Jarrow, Robert A. & Kwok, Simon S., 2020. "Inferring Financial Bubbles from Option Data," Working Papers 2020-04, University of Sydney, School of Economics, revised Jun 2021.
    15. Michael Abrahams & Tobias Adrian & Richard K. Crump & Emanuel Moench, 2012. "Decomposing real and nominal yield curves," Staff Reports 570, Federal Reserve Bank of New York.
    16. Grishchenko, Olesya V. & Vanden, Joel M. & Zhang, Jianing, 2016. "The informational content of the embedded deflation option in TIPS," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 1-26.
    17. Covarrubias, Enrique & Hernández-del-Valle, Gerardo, 2016. "Inflation expectations derived from a portfolio model," MPRA Paper 69489, University Library of Munich, Germany.
    18. M. Chudý & S. Karmakar & W. B. Wu, 2020. "Long-term prediction intervals of economic time series," Empirical Economics, Springer, vol. 58(1), pages 191-222, January.
    19. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
    20. Tomas Breach & Stefania D'Amico & Athanasios Orphanides, 2016. "The Term Structure and Inflation Uncertainty," Working Paper Series WP-2016-22, Federal Reserve Bank of Chicago.
    21. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    22. Krystian Jaworski, 2019. "Sentiment-induced regime switching in density forecasts of emerging markets’ exchange rates. Calibrated simulation trumps estimated autoregression," Bank i Kredyt, Narodowy Bank Polski, vol. 50(1), pages 83-106.
    23. Kejin Wu & Sayar Karmakar, 2023. "A model-free approach to do long-term volatility forecasting and its variants," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
    24. Galati, Gabriele & Gorgi, Zion & Moessner, Richhild & Zhou, Chen, 2018. "Deflation risk in the euro area and central bank credibility," Economics Letters, Elsevier, vol. 167(C), pages 124-126.
    25. Chipeniuk, Karsten O. & Walker, Todd B., 2021. "Forward inflation expectations: Evidence from inflation caps and floors," Journal of Macroeconomics, Elsevier, vol. 70(C).
    26. Scharnagl, Michael & Stapf, Jelena, 2015. "Inflation, deflation, and uncertainty: What drives euro-area option-implied inflation expectations, and are they still anchored in the sovereign debt crisis?," Economic Modelling, Elsevier, vol. 48(C), pages 248-269.
    27. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    28. Sirio Aramonte, 2022. "Inflation risk and the labor market: beneath the surface of a flat Phillips curve," BIS Working Papers 1054, Bank for International Settlements.
    29. Matthew Raskin, 2013. "The effects of the Federal Reserve's date-based forward guidance," Finance and Economics Discussion Series 2013-37, Board of Governors of the Federal Reserve System (U.S.).
    30. Jean-François Bégin, 2016. "Deflation Risk and Implications for Life Insurers," Risks, MDPI, vol. 4(4), pages 1-36, December.
    31. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    32. Ricardo Gimeno & Alfredo Ibáñez, 2017. "The eurozone (expected) inflation: an option’s eyes view," Working Papers 1722, Banco de España.
    33. Kejin Wu & Sayar Karmakar, 2021. "Model-Free Time-Aggregated Predictions for Econometric Datasets," Forecasting, MDPI, vol. 3(4), pages 1-14, December.
    34. Sayar Karmakar & Marek Chudy & Wei Biao Wu, 2020. "Long-term prediction intervals with many covariates," Papers 2012.08223, arXiv.org, revised Sep 2021.
    35. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    36. Goliński, Adam & Zaffaroni, Paolo, 2016. "Long memory affine term structure models," Journal of Econometrics, Elsevier, vol. 191(1), pages 33-56.
    37. Lu, Junwen & Qu, Zhongjun, 2021. "Sieve estimation of option-implied state price density," Journal of Econometrics, Elsevier, vol. 224(1), pages 88-112.
    38. Ulrich Mueller & Mark W. Watson, 2013. "Measuring Uncertainty about Long-Run Prediction," NBER Working Papers 18870, National Bureau of Economic Research, Inc.
    39. Smith, Tom, 2012. "Option-implied probability distributions for future inflation," Bank of England Quarterly Bulletin, Bank of England, vol. 52(3), pages 224-234.
    40. Dovern, Jonas & Manner, Hans, 2016. "Order Invariant Evaluation of Multivariate Density Forecasts," Working Papers 0608, University of Heidelberg, Department of Economics.
    41. Yoshibumi Makabe & Yoshihiko Norimasa, 2022. "The Term Structure of Inflation at Risk: A Panel Quantile Regression Approach," Bank of Japan Working Paper Series 22-E-4, Bank of Japan.
    42. Roc Armenter, 2015. "On the use of market-based probabilities for policy decisions," Working Papers 15-44, Federal Reserve Bank of Philadelphia.

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

    Cited by:

    1. Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2020. "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Working Papers 667, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Dario Caldara & Cristina Fuentes-Albero & Simon Gilchrist & Egon Zakrajšek, 2016. "The Macroeconomic Impact of Financial and Uncertainty Shocks," International Finance Discussion Papers 1166, Board of Governors of the Federal Reserve System (U.S.).
    3. Ha, Jongrim & Kose, M. Ayhan & Otrok, Christopher & Prasad, Eswar, 2020. "Global Macro-Financial Cycles and Spillovers," IZA Discussion Papers 13000, Institute of Labor Economics (IZA).
    4. Kupiec, Paul H., 2020. "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, vol. 51(C).
    5. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo.
    6. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    7. Iftekhar Hasan & Roman Horvath & Jan Mares, 2018. "Finance and Wealth Inequality," Working Papers IES 2018/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    8. Andrea Silvestrini & Andrea Zaghini, 2015. "Financial shocks and the real economy in a nonlinear world: a survey of the theoretical and empirical literature," Questioni di Economia e Finanza (Occasional Papers) 255, Bank of Italy, Economic Research and International Relations Area.
    9. Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," University of Göttingen Working Papers in Economics 415, University of Goettingen, Department of Economics.
    10. Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
    11. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Specification Choices in Quantile Regression for Empirical Macroeconomics," Working Papers 22-25, Federal Reserve Bank of Cleveland.
    12. Popp, Aaron & Zhang, Fang, 2016. "The macroeconomic effects of uncertainty shocks: The role of the financial channel," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 319-349.
    13. De Santis, Roberto A., 2016. "Credit spreads, economic activity and fragmentation," Working Paper Series 1930, European Central Bank.
    14. William F. Bassett & Mary Beth Chosak & John C. Driscoll & Egon Zakrajšek, 2012. "Changes in bank lending standards and the macroeconomy," Finance and Economics Discussion Series 2012-24, Board of Governors of the Federal Reserve System (U.S.).
    15. Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012. "A Comprehensive Look at Financial Volatility Prediction by Economic Variables," BIS Working Papers 374, Bank for International Settlements.
    16. Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024. "Daily growth at risk: Financial or real drivers? The answer is not always the same," International Journal of Forecasting, Elsevier, vol. 40(2), pages 762-776.
    17. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2017. "The term structure of credit spreads and business cycle in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 45(C), pages 27-36.
    18. Prieto, Esteban & Eickmeier, Sandra & Marcellino, Massimiliano, 2013. "Time variation in macro-financial linkages," Discussion Papers 13/2013, Deutsche Bundesbank.
    19. John V. Duca, 2011. "Did the commercial paper funding facility prevent a Great Depression-style money market meltdown?," Working Papers 1101, Federal Reserve Bank of Dallas.
    20. Barnichon, Regis & Matthes, Christian & Ziegenbein, Alexander, 2016. "Assessing the Non-Linear Effects of Credit Market Shocks," CEPR Discussion Papers 11410, C.E.P.R. Discussion Papers.
    21. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2022. "The credit spread curve distribution and economic fluctuations in Japan," Journal of International Money and Finance, Elsevier, vol. 122(C).
    22. Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2022. "The Relation between the High-Yield Bond Spread and the Unemployment Rate in the Euro Area," Finance Research Letters, Elsevier, vol. 46(PA).
    23. Luca Gambetti & Christoph Görtz & Dimitris Korobilis & John D. Tsoukalas & Francesco Zanetti, 2022. "The Effect of News Shocks and Monetary Policy," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 139-164, Emerald Group Publishing Limited.
    24. Rossana Merola, 2013. "The role of financial frictions during the crisis: An estimated DSGE model," Working Paper Research 249, National Bank of Belgium.
    25. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.
    26. Yang, Qiao, 2019. "Stock returns and real growth: A Bayesian nonparametric approach," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 53-69.
    27. Jules H. van Binsbergen & Wouter Hueskes & Ralph Koijen & Evert B. Vrugt, 2011. "Equity Yields," NBER Working Papers 17416, National Bureau of Economic Research, Inc.
    28. Born, Benjamin & Müller, Gernot & Pfeifer, Johannes & Wellmann, Susanne, 2020. "Different no more: Country spreads in advanced and emerging economies," CEPR Discussion Papers 14392, C.E.P.R. Discussion Papers.
    29. Tomas Havranek & Anna Sokolova, 2016. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say “Probably Not”," Working Papers IES 2016/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2016.
    30. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2024. "Sustainability and credit spreads in Japan," International Review of Financial Analysis, Elsevier, vol. 91(C).
    31. Anna Samarina & Anh D.M. Nguyen, 2019. "Does monetary policy affect income inequality in the euro area?," Bank of Lithuania Working Paper Series 61, Bank of Lithuania.
    32. Juan Laborda & Sonia Ruano & Ignacio Zamanillo, 2023. "Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
    33. Leonardo Gambacorta & Sergio Mayordomo & Jose Maria Serena, 2020. "Dollar borrowing, firmcharacteristics, and FX-hedged funding opportunities," BIS Working Papers 843, Bank for International Settlements.
    34. Johannes Poeschl & Ram Yamarthy, 2022. "Aggregate Risk in the Term Structure of Corporate Credit," Working Papers 22-02, Office of Financial Research, US Department of the Treasury.
    35. Jari Hännikäinen, 2014. "The mortgage spread as a predictor of real-time economic activity," Working Papers 1496, Tampere University, Faculty of Management and Business, Economics.
    36. Michael T. Kiley, 2022. "Unemployment Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1407-1424, August.
    37. Chauvet, Marcelle & Senyuz, Zeynep & Yoldas, Emre, 2010. "What does financial volatility tell us about macroeconomic fluctuations?," MPRA Paper 34104, University Library of Munich, Germany, revised Jun 2011.
    38. Simon Gilchrist & Jae W. Sim & Egon Zakrajšek, 2014. "Uncertainty, Financial Frictions, and Investment Dynamics," NBER Working Papers 20038, National Bureau of Economic Research, Inc.
    39. Guender, Alfred V., 2017. "Credit prices vs. credit quantities as predictors of economic activity in Europe: which tell a better story?," Bank of Estonia Working Papers wp2017-6, Bank of Estonia, revised 11 Sep 2017.
    40. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    41. Cheng, Tingting & Qiu, Liping & Lv, Wenya & Yang, Xuanbin & Yang, Gang, 2024. "Economic policy uncertainty and municipal corporate bonds credit spreads: Evidence from China," Finance Research Letters, Elsevier, vol. 69(PB).
    42. Sangyup Choi, 2018. "Bank Lending Standards, Loan Demand, and the Macroeconomy: Evidence from the Emerging Market Bank Loan Officer Survey," Working papers 2018rwp-126, Yonsei University, Yonsei Economics Research Institute.
    43. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021. "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers 2021:9, Örebro University, School of Business.
    44. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    45. Gkougkousi, Xanthi & John, Kose & Radhakrishnan, Suresh & Sadka, Gil & Saunders, Anthony, 2022. "Cross-sectional dispersion and bank performance," Journal of Banking & Finance, Elsevier, vol. 138(C).
    46. Karlsson, Sune & Österholm, Pär, 2019. "The Relation between the Corporate Bond-Yield Spread and the Real Economy: Stable or TimeVarying?," Working Papers 2019:7, Örebro University, School of Business.
    47. Ibarra-Ramírez Raúl, 2021. "The Yield Curve as a Predictor of Economic Activity in Mexico: The Role of the Term Premium," Working Papers 2021-07, Banco de México.
    48. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
    49. Jari Hännikäinen, 2016. "When does the yield curve contain predictive power? Evidence from a data-rich environment," Working Papers 1603, Tampere University, Faculty of Management and Business, Economics.
    50. Samuels, Jon D. & Sekkel, Rodrigo M., 2017. "Model Confidence Sets and forecast combination," International Journal of Forecasting, Elsevier, vol. 33(1), pages 48-60.
    51. Simon Gilchrist & Egon Zakrajšek, 2011. "Monetary Policy and Credit Supply Shocks," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(2), pages 195-232, June.
    52. De Santis, Roberto A. & Van der Veken, Wouter, 2020. "Forecasting macroeconomic risk in real time: Great and Covid-19 Recessions," Working Paper Series 2436, European Central Bank.
    53. Saman Hatamerad & Hossain Asgharpur & Bahram Adrangi & Jafar Haghighat, 2024. "Stock price index analysis of four OPEC members: a Bayesian approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    54. De Pace, Pierangelo & Weber, Kyle D., 2016. "The time-varying leading properties of the high yield spread in the United States," International Journal of Forecasting, Elsevier, vol. 32(1), pages 203-230.
    55. Jörg Breitung & Sandra Eickmeier, 2014. "Analyzing business and financial cycles using multi-level factor models," CAMA Working Papers 2014-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    56. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.
    57. Colombo, Valentina & Paccagnini, Alessia, 2020. "Does the credit supply shock have asymmetric effects on macroeconomic variables?," Economics Letters, Elsevier, vol. 188(C).
    58. Josef Hollmayr & Michael Kuehl, 2016. "Imperfect Information about Financial Frictions and Consequences for the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 179-207, October.
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    61. Aromi, J. Daniel, 2020. "Linking words in economic discourse: Implications for macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1517-1530.
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    67. Paul Kitney, 2016. "Financial factors and monetary policy: Determinacy and learnability of equilibrium," CAMA Working Papers 2016-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    68. Theo Eicher & Cecilia Garcia-Peñalosa & David Kuenzel, 2018. "Constitutional rules as determinants of social infrastructure," Post-Print hal-01981017, HAL.
    69. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    70. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
    71. Kwon, Dohyoung, 2020. "Risk Shocks and Credit Spreads," Journal of Macroeconomics, Elsevier, vol. 64(C).
    72. Takaoka, Sumiko, 2018. "Convenience yield on government bonds and unconventional monetary policy in Japanese corporate bond spreads," MPRA Paper 86418, University Library of Munich, Germany.
    73. Michael T. Kiley, 2023. "Recession Signals and Business Cycle Dynamics: Tying the Pieces Together," Finance and Economics Discussion Series 2023-008, Board of Governors of the Federal Reserve System (U.S.).
    74. Stefan Laseen & Marzie Taheri Sanjani, 2016. "Did the Global Financial Crisis Break the U.S. Phillips Curve?," IMF Working Papers 2016/126, International Monetary Fund.
    75. Paul Mizen & Veronica Veleanu, 2015. "On the Information Flow from Credit Derivatives to the Macroeconomy," Discussion Papers 2015/21, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    76. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2021. "Systemic risk measures and distribution forecasting of macroeconomic shocks," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 178-196.
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    78. Jari Hännikäinen, 2015. "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," Review of Financial Economics, John Wiley & Sons, vol. 26(1), pages 47-54, September.
    79. Ujjal Chatterjee, 2023. "Predicting economic growth: evidence from real-estate loans securitization," SN Business & Economics, Springer, vol. 3(3), pages 1-20, March.
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    81. Narayan Kundan Kishor, 2021. "Forecasting real‐time economic activity using house prices and credit conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 213-227, March.
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    83. Jinhwan Kim & Hoon Cho & Doojin Ryu, 2025. "Global Risk Aversion: Driving Force of Future Real Economic Activity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 706-729, March.
    84. Régis Barnichon & Christian Matthes & Alexander Ziegenbein, 2016. "Theory Ahead of Measurement? Assessing the Nonlinear Effects of Financial Market Disruptions," Working Paper 16-15, Federal Reserve Bank of Richmond.
    85. Fischer, Henning & Stolper, Oscar, 2019. "The nonlinear dynamics of corporate bond spreads: Regime-dependent effects of their determinants," Discussion Papers 08/2019, Deutsche Bundesbank.
    86. Renato Faccini & Eirini Konstantinidi & George Skiadopoulos & Sylvia Sarantopoulou-Chiourea, 2018. "A New Predictor of US. Real Economic Activity: The S&P 500 Option Implied Risk Aversion," Working Papers 850, Queen Mary University of London, School of Economics and Finance.
    87. Brownlees, Christian & Souza, André B.M., 2021. "Backtesting global Growth-at-Risk," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 312-330.
    88. Schumacher, Christian, 2014. "MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100289, Verein für Socialpolitik / German Economic Association.
    89. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
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    94. Chatterjee, Ujjal Kanti & Bazzana, Flavio, 2024. "Do corporate credit spreads predict the real economy?," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 272-286.
    95. Xu Feng & Xiaowen An & Yahui An & Yajun Xiao, 2024. "Shadow Funding and Economic Growth: Evidence from China," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(2-3), pages 589-611, March.
    96. Jürgen Antony & D. Broer, 2015. "Euro area financial shocks and economic activity in The Netherlands," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 571-595, August.
    97. Stefan Gebauer, 2017. "The Use of Financial Market Variables in Forecasting," DIW Roundup: Politik im Fokus 115, DIW Berlin, German Institute for Economic Research.
    98. Hafsa Hina & Henna Ahsan & Hania Afzal, 2022. "The Information in the Yield Spread for the Recession in the Case of Pakistan," PIDE-Working Papers 2022:11, Pakistan Institute of Development Economics.
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  19. Dick van Dijk & Siem Jan Koopman & Michel van der Wel & Jonathan H. Wright, 2012. "Forecasting Interest Rates with Shifting Endpoints," Tinbergen Institute Discussion Papers 12-076/4, Tinbergen Institute.

    Cited by:

    1. Giacomini, Raffaella & Ragusa, Giuseppe & Altavilla, Carlo, 2013. "Anchoring the Yield Curve Using Survey Expectations," CEPR Discussion Papers 9738, C.E.P.R. Discussion Papers.
    2. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    3. Christoph Berninger & Almond Stöcker & David Rügamer, 2022. "A Bayesian time‐varying autoregressive model for improved short‐term and long‐term prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 181-200, January.
    4. Speck, Christian, 2023. "Pricing the Bund term structure with linear regressions – without an observable short rate," Discussion Papers 08/2023, Deutsche Bundesbank.
    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. Joseph P. Byrne & Shuo Cao. & Dimitris Korobilis., 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Working Papers 2015_08, Business School - Economics, University of Glasgow.
    7. Hitesh Doshi & Kris Jacobs & Rui Liu, 2021. "Information in the Term Structure: A Forecasting Perspective," Management Science, INFORMS, vol. 67(8), pages 5255-5277, August.
    8. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    9. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    10. Ralph Chami & Thomas F. Cosimano & Jun Ma & Celine Rochon, 2022. "What’s Different about Bank Holding Companies?," JRFM, MDPI, vol. 15(5), pages 1-32, April.
    11. Vieira, Fausto & Fernandes, Marcelo & Chague, Fernando, 2017. "Forecasting the Brazilian yield curve using forward-looking variables," International Journal of Forecasting, Elsevier, vol. 33(1), pages 121-131.
    12. Eran Raviv, 2013. "Prediction Bias Correction for Dynamic Term Structure Models," Tinbergen Institute Discussion Papers 13-041/III, Tinbergen Institute.
    13. Malik, Sheheryar & Meldrum, Andrew, 2014. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Bank of England working papers 518, Bank of England.
    14. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
    15. Farmer, Leland E & Nakamura, Emi & Steinsson, Jón, 2024. "Learning about the Long Run," Department of Economics, Working Paper Series qt0tn1s1hp, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    16. Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
    17. Geiger, Felix & Schupp, Fabian, 2018. "With a little help from my friends: Survey-based derivation of euro area short rate expectations at the effective lower bound," Discussion Papers 27/2018, Deutsche Bundesbank.
    18. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    19. Doshi, Hitesh & Jacobs, Kris & Liu, Rui, 2018. "Macroeconomic determinants of the term structure: Long-run and short-run dynamics," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 99-122.
    20. Jiazi Chen & Zhiwu Hong & Linlin Niu, 2022. "Forecasting Interest Rates with Shifting Endpoints: The Role of the Demographic Age Structure," Working Papers 2022-06-25, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    21. Gaus, Eric & Sinha, Arunima, 2018. "What does the yield curve imply about investor expectations?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 248-265.
    22. Sang-Heon Lee, 2025. "An Alternative Approach for Determining the Time-Varying Decay Parameter of the Nelson-Siegel Model," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2965-2990, May.
    23. Joseph P Byrne & Shuo Cao, 2024. "Decomposing Uncertainty in Macro-Finance Term Structure Models," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(3), pages 428-449.
    24. 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.
    25. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    26. Daniel R. Kowal & Antonio Canale, 2021. "Semiparametric Functional Factor Models with Bayesian Rank Selection," Papers 2108.02151, arXiv.org, revised May 2022.
    27. Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
    28. Chen, Jiazi & Hong, Zhiwu & Niu, Linlin, 2025. "Forecasting interest rates with shifting endpoints: The role of the functional demographic age distribution," International Journal of Forecasting, Elsevier, vol. 41(1), pages 153-174.
    29. Badics, Milan Csaba & Huszar, Zsuzsa R. & Kotro, Balazs B., 2023. "The impact of crisis periods and monetary decisions of the Fed and the ECB on the sovereign yield curve network," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    30. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.

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

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    1. Richhild Moessner, 2018. "Effects of asset purchases and financial stability measures on term premia in the euro area," National Institute of Economic and Social Research (NIESR) Discussion Papers 489, National Institute of Economic and Social Research.
    2. Glick, Reuven & Leduc, Sylvain, 2012. "Central bank announcements of asset purchases and the impact on global financial and commodity markets," Journal of International Money and Finance, Elsevier, vol. 31(8), pages 2078-2101.
    3. Ippolito, Filippo & Ozdagli, Ali K. & Perez-Orive, Ander, 2018. "The transmission of monetary policy through bank lending: The floating rate channel," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 49-71.
    4. Luis F. Céspedes & Javier García-Cicco & Diego Saravia, 2013. "Monetary Policy at the Zero Lower Bound: The Chilean Experience," Working Papers Central Bank of Chile 712, Central Bank of Chile.
    5. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    6. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    7. Bernard Dumas & Marcel R. Savioz, 2020. "A theory of the nominal character of stock securities," Working Papers 2020-03, Swiss National Bank.
    8. Michael D. Bauer & Christopher J. Neely, 2012. "International channels of the Fed’s unconventional monetary policy," Working Paper Series 2012-12, Federal Reserve Bank of San Francisco.
    9. Eksi, Ozan & Tas, Bedri Kamil Onur, 2017. "Unconventional monetary policy and the stock market’s reaction to Federal Reserve policy actions," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 136-147.
    10. Bailey, Andrew & Bridges, Jonathan & Harrison, Richard & Jones, Josh & Mankodi, Aakash, 2020. "The central bank balance sheet as a policy tool: past, present and future," Bank of England working papers 899, Bank of England.
    11. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    12. Siami-Namini, Sima & Hudson, Darren & Trindade, A. Alexandre & Lyford, Conrad, 2018. "Commodity Prices, Monetary Policy and the Taylor Rule," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266722, Southern Agricultural Economics Association.
    13. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
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    15. Sui-Jade Ho & Özer Karagedikli, 2021. "Effects of Monetary Policy Communication in Emerging Market Economies: Evidence from Malaysia," Working Papers wp44, South East Asian Central Banks (SEACEN) Research and Training Centre.
    16. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
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    18. Alpanda, Sami & Aysun, Uluc & Kabaca, Serdar, 2024. "International portfolio rebalancing and fiscal policy spillovers," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
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    22. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2015. "The QE experience: worth a try?," SciencePo Working papers Main hal-03470201, HAL.
    23. Anaya, Pablo & Hachula, Michael & Offermanns, Christian, 2015. "Spillovers of U.S. unconventional monetary policy to emerging markets: The role of capital flows," Discussion Papers 2015/35, Free University Berlin, School of Business & Economics.
    24. Bartkiewicz Piotr, 2018. "The Impact of Quantitative Easing on Emerging Markets – Literature Review," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(4), pages 67-76, December.
    25. Coën, Alain & Lefebvre, Benoit & Simon, Arnaud, 2018. "International money supply and real estate risk premium: The case of the London office market," Journal of International Money and Finance, Elsevier, vol. 82(C), pages 120-140.
    26. John C. Williams, 2011. "Unconventional monetary policy: lessons from the past three years," Speech 92, Federal Reserve Bank of San Francisco.
    27. Kerstin Bernoth & Marcel Fratzscher & Philipp König, 2014. "Schwache Preisentwicklung und Deflationsgefahr im Euroraum: Grenzen der konventionellen Geldpolitik," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(12), pages 235-249.
    28. Belke, Ansgar & Gros, Daniel & Osowski, Thomas, 2016. "Did quantitative easing affect interest rates outside the US? New evidence based on interest tate differentials," Ruhr Economic Papers 600, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    29. Kathi Schlepper & Heiko Hofer & Ryan Riordan & Andreas Schrimpf, 2017. "Scarcity effects of QE: A transaction-level analysis in the Bund market," BIS Working Papers 625, Bank for International Settlements.
    30. Abdoulaye Millogo, 2020. "Hysteresis Effects and Macroeconomics Gains from Unconventional Monetary Policies Stabilization," Cahiers de recherche 20-12, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    31. Christopher Martin & Costas Milas, 2012. "Quantitative Easing: A Sceptical Survey," Working Paper series 73_12, Rimini Centre for Economic Analysis.
    32. Feiyan Zhang & Dewen Chen, 2019. "The short-term spillover effects of the Fed on Chinese financial market The overshooting model or the portfolio balance theory," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(5), pages 1-5.
    33. Alexander Guarín & José Fernando Moreno & Hernando Vargas, 2014. "An Empirical Analysis of the Relationship between US and Colombian Long-Term Sovereign Bond Yields?," Borradores de Economia 11311, Banco de la Republica.
    34. Chauvet, Marcelle & Gabriel, Stuart & Lutz, Chandler, 2016. "Mortgage default risk: New evidence from internet search queries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 91-111.
    35. Demir, Ishak & Eroglu, Burak A. & Yildirim-Karaman, Secil, 2021. "Heterogeneous effects of unconventional monetary policy on bond yields across the euro area," LEAF Working Paper Series 19-06, University of Lincoln, Lincoln International Business School, Lincoln Economics and Finance Research Group (LEAF), revised 2021.
    36. Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," Economics Working Paper Archive 600, The Johns Hopkins University,Department of Economics.
    37. Céline Antonin & Christophe Blot & Paul Hubert & Fabien Labondance & Catherine Mathieu & Christine Rifflart & Vincent Touzé, 2013. "Politiques monétaires : est-ce le début de la fin ?," SciencePo Working papers Main hal-01072109, HAL.
    38. Bekaert, Geert & Hoerova, Marie & Xu, Nancy R., 2023. "Risk, monetary policy and asset prices in a global world," Working Paper Series 2879, European Central Bank.
    39. Janice C. Eberly & James H. Stock & Jonathan H. Wright, 2019. "The Federal Reserve’s Current Framework for Monetary Policy: A Review and Assessment," NBER Working Papers 26002, National Bureau of Economic Research, Inc.
    40. Cao, N. & Galvani, V. & Gubellini, S., 2017. "Firm-specific stock and bond predictability: New evidence from Canada," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 174-192.
    41. Kaoru Hosono & Shogo Isobe, 2014. "The Financial Market Impact of Unconventional Monetary Policies in the U.S., the U.K., the Eurozone, and Japan," Discussion papers ron259, Policy Research Institute, Ministry of Finance Japan.
    42. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2014. "Evaluating Asset-Market Effects of Unconventional Monetary Policy: A Cross-Country Comparison," International Finance Discussion Papers 1101, Board of Governors of the Federal Reserve System (U.S.).
    43. Stéphane Lhuissier & Urszula Szczerbowicz, 2018. "Monetary Policy and Corporate Debt Structure," Working papers 697, Banque de France.
    44. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2020. "The role of ECB monetary policy and financial stress on Eurozone sovereign yields," Post-Print hal-02160378, HAL.
    45. Neely, Christopher J., 2022. "How persistent are unconventional monetary policy effects?," Journal of International Money and Finance, Elsevier, vol. 126(C).
    46. Thomas B. King, 2013. "A Portfolio-Balance Approach to the Nominal Term Structure," Working Paper Series WP-2013-18, Federal Reserve Bank of Chicago.
    47. Xu Zhang, 2018. "Evaluating the Effects of Forward Guidance and Large-scale Asset Purchases," 2018 Meeting Papers 894, Society for Economic Dynamics.
    48. Marcel Fratzscher & Marco Lo Duca & Roland Straub, 2013. "On the International Spillovers of US Quantitative Easing," Discussion Papers of DIW Berlin 1304, DIW Berlin, German Institute for Economic Research.
    49. Bu, Chunya & Rogers, John & Wu, Wenbin, 2021. "A unified measure of Fed monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 331-349.
    50. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2015. "Que peut-on attendre de l'assouplissement quantitatif de la BCE ?," Post-Print hal-03459898, HAL.
    51. Atsushi Inoue & Barbara Rossi, 2018. "The effects of conventional and unconventional monetary policy on exchange rates," Economics Working Papers 1639, Department of Economics and Business, Universitat Pompeu Fabra.
    52. Saroj Bhattarai & Christopher J. Neely, 2016. "An Analysis of the Literature on International Unconventional Monetary Policy," Working Papers 2016-021, Federal Reserve Bank of St. Louis, revised 04 May 2020.
    53. Emmanuel C. Mamatzakis & Anh N. Vu, 2018. "The interplay between quantitative easing, risk and competition: The case of Japanese banking," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 27(1), pages 3-46, February.
    54. Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," Economic Research Papers 269727, University of Warwick - Department of Economics.
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    61. Refet S. Gürkaynak & Hatice Gökce Karasoy-Can & Sang Seok Lee, 2019. "Stock Market's Assessment of Monetary Policy Transmission: The Cash Flow Effect," CESifo Working Paper Series 7898, CESifo.
    62. Urszula Szczerbowicz, 2012. "The ECB Unconventional Monetary Policies: Have They Lowered Market Borrowing Costs for Banks and Governments?," Working Papers 2012-36, CEPII research center.
    63. Eric T. Swanson, 2016. "Measuring the effects of unconventional monetary policy on asset prices," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 78-100, August.
    64. Marc Burri & Daniel Kaufmann, 2024. "Measuring multiple monetary policy shocks based on heteroscedasticity," IRENE Working Papers 24-03, IRENE Institute of Economic Research.
    65. Refet S. Gürkaynak & Jonathan H. Wright, 2013. "Identification and Inference Using Event Studies," Manchester School, University of Manchester, vol. 81, pages 48-65, September.
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    67. Marcel Fratzscher, 2014. "Capital Flow Policies, Monetary Policy and Coordination," RBA Annual Conference Volume (Discontinued), in: Alexandra Heath & Matthew Read (ed.),Financial Flows and Infrastructure Financing, Reserve Bank of Australia.
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    350. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2020. "The EHTS and the persistence in the spread reconsidered. A fractional cointegration approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 124-137.
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  21. Jonathan H. Wright, 2010. "Evaluating real-time VAR forecasts with an informative democratic prior," Working Papers 10-19, Federal Reserve Bank of Philadelphia.

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    1. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    2. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    3. Damian Stelmasiak & Grzegorz Szafrański, 2016. "Forecasting the Polish Inflation Using Bayesian VAR Models with Seasonality," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 21-42, March.
    4. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    5. Tomasz Woźniak, 2016. "Bayesian Vector Autoregressions," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(3), pages 365-380, September.
    6. Bjarni G. Einarsson, 2024. "Online Monitoring of Policy Optimality," Economics wp95, Department of Economics, Central bank of Iceland.
    7. George Monokroussos & Yongchen Zhao, 2020. "Nowcasting in Real Time Using Popularity Priors," Working Papers 2020-01, Towson University, Department of Economics, revised Feb 2020.
    8. Joshua C C Chan & Yong Song, 2017. "Measuring inflation expectations uncertainty using high-frequency data," CAMA Working Papers 2017-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.
    10. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    11. Michael Clements, 2017. "Do forecasters target first or later releases of national accounts data?," ICMA Centre Discussion Papers in Finance icma-dp2017-03, Henley Business School, University of Reading.
    12. Bańbura, Marta & Leiva-León, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Discussion Papers 48/2021, Deutsche Bundesbank.
    13. Michael P. Clements, 2014. "Long-Run Restrictions and Survey Forecasts of Output, Consumption and Investment," ICMA Centre Discussion Papers in Finance icma-dp2014-02, Henley Business School, University of Reading.
    14. Luis J. Álvarez & Isabel Sánchez, 2017. "A suite of inflation forecasting models," Occasional Papers 1703, Banco de España.
    15. Andrew B. Martinez & Jennifer L. Castle & David F. Hendry, 2020. "Smooth Robust Multi-Horizon Forecasts," Working Papers 2020-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    16. Gabriel Rodríguez & Luis Surco, 2024. "Modeling the trend, persistence, and volatility of inflation in Pacific Alliance countries: an empirical application using a model with inflation bands," Documentos de Trabajo / Working Papers 2024-533, Departamento de Economía - Pontificia Universidad Católica del Perú.
    17. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    18. Huw Dixon & Joshy Easaw & Saeed Heravi, 2020. "Forecasting inflation gap persistence: Do financial sector professionals differ from nonfinancial sector ones?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 461-474, July.
    19. Gergely Ganics & Florens Odendahl, 2019. "Bayesian VAR forecasts, survey information and structural change in the euro area," Working Papers 1948, Banco de España.
    20. Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018. "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
    21. Timmermann, Allan & Elliott, Graham, 2016. "Forecasting in Economics and Finance," CEPR Discussion Papers 11354, C.E.P.R. Discussion Papers.
    22. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2018. "Using low frequency information for predicting high frequency variables," International Journal of Forecasting, Elsevier, vol. 34(4), pages 774-787.
    23. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    24. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    25. Milan Szabo, 2024. "Disciplining growth‐at‐risk models with survey of professional forecasters and Bayesian quantile regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1975-1981, September.
    26. Jiazi Chen & Zhiwu Hong & Linlin Niu, 2022. "Forecasting Interest Rates with Shifting Endpoints: The Role of the Demographic Age Structure," Working Papers 2022-06-25, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    27. Andrew B. Martinez, 2020. "Extracting Information from Different Expectations," Working Papers 2020-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    28. Álvarez, Luis J. & Sánchez, Isabel, 2019. "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 568-585.
    29. Tomasz Wozniak, 2016. "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series 2021, The University of Melbourne.
    30. Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
    31. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.
    32. Chen, Jiazi & Hong, Zhiwu & Niu, Linlin, 2025. "Forecasting interest rates with shifting endpoints: The role of the functional demographic age distribution," International Journal of Forecasting, Elsevier, vol. 41(1), pages 153-174.
    33. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
    34. Dimitrios P. Louzis, 2016. "Macroeconomic forecasting and structural changes in steady states," Working Papers 204, Bank of Greece.

  22. Wright, Jonathan & Gürkaynak, Refet, 2010. "Macroeconomics and the Term Structure," CEPR Discussion Papers 8018, C.E.P.R. Discussion Papers.

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    1. Chernov, Mikhail & Bauer, Michael, 2021. "Interest Rate Skewness and Biased Beliefs," CEPR Discussion Papers 16274, C.E.P.R. Discussion Papers.
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    3. Robert M. Dunsky & James R. Follain & Seth H. Giertz, 2021. "Pricing Credit Risk for Mortgages: Credit Risk Spreads and Heterogeneity across Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(3), pages 997-1032, September.
    4. Oleksandr Castello & Marina Resta, 2025. "Optimal Time Varying Parameters in Yield Curve Modeling and Forecasting: A Simulation Study on BRICS Countries," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2081-2113, April.
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    6. Atsushi Inoue & Barbara Rossi, 2019. "A New Approach to Measuring Economic Policy Shocks, with an Application to Conventional and Unconventional Monetary Policy," Working Papers 1082, Barcelona School of Economics.
    7. Kliem, Martin & Meyer-Gohde, Alexander, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers 2017-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    8. Martin Ellison & Andreas Tischbirek, 2021. "Beauty Contests and the Term Structure [Risk Premia and Term Premia in General Equilibrium]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2234-2282.
    9. Lassaâd Mbarek & Hardik A. Marfatia & Sonja Juko, 2018. "Time-varying Response of Treasury Yields to Monetary Policy Shocks: Evidence from the Tunisian Bond Market," Working Papers 1243, Economic Research Forum, revised 23 Oct 2018.
    10. Alves, Paulo & Silva, Paulo, 2017. "Abnormal Retained Earnings Around The World," MPRA Paper 80243, University Library of Munich, Germany.
    11. Tronzano, Marco, 2018. "Does the Expectations Hypothesis of the Term Structure Hold in Korea after the Asian Financial Crisis? Some Empirical Evidence (1999-2017)," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(2), pages 191-226.
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    94. Shuo Cao, 2018. "Learning about Term Structure Predictability under Uncertainty," GRU Working Paper Series GRU_2018_006, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    95. Doshi, Hitesh & Jacobs, Kris & Liu, Rui, 2018. "Macroeconomic determinants of the term structure: Long-run and short-run dynamics," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 99-122.
    96. Halberstadt, Arne, 2023. "Decomposing the yield curve with linear regressions and survey information," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 25-39.
    97. 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.).
    98. Choudhry, Taufiq, 2016. "Time-varying risk premium yield spread effect in term structure and global financial crisis: Evidence from Europe," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 303-311.
    99. Martina Makarieva, 2021. "Yield curve modelling and forecasting in an undeveloped financial market: The case of Bulgaria," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 61-83,84-10.
    100. Guljanov, Gaygysyz & Mutschler, Willi & Trede, Mark, 2022. "Pruned Skewed Kalman Filter and Smoother: With Application to the Yield Curve," Dynare Working Papers 78, CEPREMAP.
    101. Michael T. Kiley, 2024. "Why Have Long-term Treasury Yields Fallen Since the 1980s? Expected Short Rates and Term Premiums in (Quasi-) Real Time," Finance and Economics Discussion Series 2024-054, Board of Governors of the Federal Reserve System (U.S.).
    102. Iqbal, Najaf & Umar, Zaghum & Shaoyong, Zhang & Sokolova, Tatiana, 2025. "Higher moments interaction between the US treasury yields, energy assets, and green cryptos: Dynamic analysis with portfolio implications," Energy Economics, Elsevier, vol. 141(C).
    103. James D. Hamilton & Jing Cynthia Wu, 2011. "Testable Implications of Affine Term Structure Models," NBER Working Papers 16931, National Bureau of Economic Research, Inc.
    104. 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.
    105. 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.
    106. Roman Sustek, 2021. "Yield curve and the business cycle in conventional times," Discussion Papers 2122, Centre for Macroeconomics (CFM).
    107. Pier Lopez, 2014. "The Term Structure of the Welfare Cost of Uncertainty," Working papers 521, Banque de France.
    108. Thien Nguyen, 2019. "Public Debt and the Slope of the Term Structure," 2019 Meeting Papers 957, Society for Economic Dynamics.
    109. Robert Kirkby & Huong Ngoc Vu, 2024. "Impacts of Monetary Policy Shocks on Inflation and Output in New Zealand," The Economic Record, The Economic Society of Australia, vol. 100(329), pages 160-187, June.
    110. Joseph P Byrne & Shuo Cao, 2024. "Decomposing Uncertainty in Macro-Finance Term Structure Models," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(3), pages 428-449.
    111. Michael E. Cahill & Stefania D'Amico & Canlin Li & John S. Sears, 2013. "Duration risk versus local supply channel in Treasury yields: evidence from the Federal Reserve's asset purchase announcements," Finance and Economics Discussion Series 2013-35, Board of Governors of the Federal Reserve System (U.S.).
    112. 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.
    113. Richard K. Crump & Nikolay Gospodinov, 2022. "On the Factor Structure of Bond Returns," Econometrica, Econometric Society, vol. 90(1), pages 295-314, January.
    114. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    115. Demirgüç-Kunt, Asli & Martinez Peria, Maria Soledad & Tressel, Thierry, 2020. "The global financial crisis and the capital structure of firms: Was the impact more severe among SMEs and non-listed firms?," Journal of Corporate Finance, Elsevier, vol. 60(C).
    116. Thomas A. Weber, 2017. "Optimal switching between cash-flow streams," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(3), pages 567-600, December.
    117. Linlin Niu & Gengming Zeng, 2013. "The Discrete-Time Framework of the Arbitrage-Free Nelson-Siegel Class of Term Structure Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    118. Ali Gungoraydinoglu & Özde Öztekin, 2022. "Financial crises, banking regulations, and corporate financing patterns around the world," International Review of Finance, International Review of Finance Ltd., vol. 22(3), pages 506-539, September.
    119. Sophocles N. Brissimis & Evangelia A. Georgiou, 2022. "The effects of Federal Reserve's quantitative easing and balance sheet normalization policies on long-term interest rates," Working Papers 299, Bank of Greece.
    120. Ken Nyholm, 2018. "A Rotated Dynamic Nelson†Siegel Model," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 47(1), pages 113-124, February.
    121. Dušan Staniek, 2018. "The Expectations Hypothesis in the Theory and Practice of Current Interest Rate Instruments [Hypotéza očekávání v teorii a praxi současných úrokových instrumentů]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2018(2), pages 61-79.
    122. Jiyoung Lee, 2015. "Disentangling the Predictive Power of Term Spreads under Inflation Targeting," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 419-450, September.
    123. Jemima Peppel-Srebrny, 2018. "Government borrowing cost and balance sheets: do assets matter?," Economics Series Working Papers 860, University of Oxford, Department of Economics.
    124. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    125. Maryam Movahedifar & Hossein Hassani & Masoud Yarmohammadi & Mahdi Kalantari & Rangan Gupta, 2021. "A robust approach for outlier imputation: Singular Spectrum Decomposition," Working Papers 202164, University of Pretoria, Department of Economics.
    126. Baskot, Bojan & Orsag, Silvije & Mikerevic, Dejan, 2018. "Yield Curve In Bosnia And Herzegovina: Financial And Macroeconomic Framework," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 1-15.
    127. Kaya, Huseyin, 2013. "The yield curve and the macroeconomy: Evidence from Turkey," Economic Modelling, Elsevier, vol. 32(C), pages 100-107.
    128. Kiyotaka Nakashima & Masahiko Shibamoto & Koji Takahashi, 2017. "Identifying Unconventional Monetary Policy Shocks," Discussion Paper Series DP2017-05, Research Institute for Economics & Business Administration, Kobe University, revised Apr 2017.
    129. J. Benson Durham, 2013. "More on U.S. Treasury term premiums: spot and expected measures," Staff Reports 658, Federal Reserve Bank of New York.
    130. Huseyin Ozturk, 2020. "The shape of sovereign yield curve in an emerging economy: Do macroeconomic or external factors matter?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(1), pages 83-112, February.
    131. Faria, Adriano & Almeida, Caio, 2018. "A hybrid spline-based parametric model for the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 72-94.
    132. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    133. Stefano Neri & Giuseppe Ferrero, 2017. "Monetary policy in a low interest rate environment," Questioni di Economia e Finanza (Occasional Papers) 392, Bank of Italy, Economic Research and International Relations Area.
    134. Equiza, Juan & Gimeno, Ricardo & Moreno, Antonio & Thomas, Carlos, 2024. "Evaluating the yield curve effects of central bank asset purchases under a forward-looking supply factor," European Economic Review, Elsevier, vol. 165(C).
    135. Julián Andrada-Félix & Adrian Fernandez-Perez & Fernando Fernández-Rodríguez, 2015. "Fixed income strategies based on the prediction of parameters in the NS model for the Spanish public debt market," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(2), pages 207-245, June.
    136. Yingying Xu & Zhi-Xin Liu & Hsu-Ling Chang & Adelina Dumitrescu Peculea & Chi-Wei Su, 2017. "Does self-fulfilment of the inflation expectation exist?," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1098-1113, March.
    137. Gergely Hudecz & Edmund Moshammer & Marco Onofri, 2024. "Option-implied bond spread risk," Working Papers 66, European Stability Mechanism, revised 25 Nov 2024.
    138. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.

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

    Cited by:

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

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

    Cited by:

    1. Michelle L. Barnes & N. Aaron Pancost, 2010. "The sensitivity of long-term interest rates to economic news: comment," Working Papers 10-7, Federal Reserve Bank of Boston.
    2. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    3. Bianchi, Francesco & Gómez-Cram, Roberto & Kind, Thilo & Kung, Howard, 2023. "Threats to central bank independence: High-frequency identification with twitter," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 37-54.
    4. Kenneth N. Kuttner & Adam S. Posen, 2007. "Do Markets Care Who Chairs the Central Bank?," Working Paper Series WP07-3, Peterson Institute for International Economics.
    5. Mehmet Pasaogullari & Simeon Tsonevy, 2011. "The term structure of inflation compensation in the nominal yield curve," Working Papers (Old Series) 1133, Federal Reserve Bank of Cleveland.
    6. Gerlach, Stefan & Moretti, Laura, 2011. "Monetary policy and TIPS yields before the crisis," CFS Working Paper Series 2011/22, Center for Financial Studies (CFS).
    7. Carboni, Giacomo & Ellison, Martin, 2022. "Preferred Habitat and Monetary Policy Through the Looking-Glass," CEPR Discussion Papers 17394, C.E.P.R. Discussion Papers.
    8. Monticini, Andrea & Peel, David & Vaciago, Giacomo, 2011. "The impact of ECB and FED announcements on the Euro interest rates," Economics Letters, Elsevier, vol. 113(2), pages 139-142.
    9. Winkelmann, Lars & Yao, Wenying, 2020. "Cojump anchoring," Discussion Papers 2020/17, Free University Berlin, School of Business & Economics.
    10. John Campbell & Robert Shiller & Luis Viceira, 2009. "Understanding Inflation-Indexed Bond Markets," Yale School of Management Working Papers amz2587, Yale School of Management.
    11. Cristhian Hernando Ruiz Cardozo & Jens H. E. Christensen, 2023. "The Benefit of Inflation-Indexed Debt: Evidence from an Emerging Bond Market," Working Paper Series 2023-04, Federal Reserve Bank of San Francisco.
    12. Iryna Kaminska & Haroon Mumtaz & Roman Sustek, 2020. "Monetary policy surprises and their transmission through term premia and expected interest rates," Discussion Papers 2024, Centre for Macroeconomics (CFM).
    13. Pitschner, Stefan, 2013. "Using Financial Markets To Estimate the Macro Effects of Monetary Policy:," Working Paper Series 267, Sveriges Riksbank (Central Bank of Sweden).
    14. Aït-Sahalia, Yacine & Xiu, Dacheng, 2016. "Increased correlation among asset classes: Are volatility or jumps to blame, or both?," Journal of Econometrics, Elsevier, vol. 194(2), pages 205-219.
    15. Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
    16. Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
    17. Peter Tillmann, 2020. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," MAGKS Papers on Economics 202007, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    18. Kurov, Alexander & Stan, Raluca, 2018. "Monetary policy uncertainty and the market reaction to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 127-142.
    19. Carlo Altavilla & Domenico Giannone & Michèle Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Working Papers ECARES ECARES 2014-34, ULB -- Universite Libre de Bruxelles.
    20. Michael D. Bauer, 2014. "Inflation Expectations and the News," Working Paper Series 2014-9, Federal Reserve Bank of San Francisco.
    21. Christoph E. Boehm & Niklas Kroner, 2023. "The US, Economic News, and the Global Financial Cycle," International Finance Discussion Papers 1371, Board of Governors of the Federal Reserve System (U.S.).
    22. Strohsal, Till & Winkelmann, Lars, 2012. "Assessing the anchoring of inflation expectations," SFB 649 Discussion Papers 2012-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    23. James D. Hamilton & Jing Cynthia Wu, 2012. "Identification and Estimation of Gaussian Affine Term Structure Models," NBER Working Papers 17772, National Bureau of Economic Research, Inc.
    24. Juan Angel García & Sebastian E. V. Werner, 2021. "Inflation News and Euro-Area Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 17(3), pages 1-60, September.
    25. Peter Tillmann, 2023. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 351-388, June.
    26. Paul Hubert, 2017. "Qualitative and quantitative central bank communication and inflation expectations," SciencePo Working papers Main hal-03409181, HAL.
    27. Stylianos X. Koufadakis, 2015. "Asymmetries on Closed End Country Funds Premium and Monetary Policy Announcements: An Approach Trough the Perspective of Foreign Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(3-4), pages 29-65, july-Dece.
    28. Boffelli, Simona & Urga, Giovanni, 2015. "Macroannouncements, bond auctions and rating actions in the European government bond spreads," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 148-173.
    29. Tillmann, Peter, 2020. "Macroeconomic Surprises and the Demand for Information about Monetary Policy," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224545, Verein für Socialpolitik / German Economic Association.
    30. Tobias Adrian & Hao Wu, 2009. "The term structure of inflation expectations," Staff Reports 362, Federal Reserve Bank of New York.
    31. Born, Benjamin & Dovern, Jonas & Enders, Zeno, 2020. "Expectation dispersion, uncertainty, and the reaction to news," Working Papers 29, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    32. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš, 2019. "Central bank announcements and realized volatility of stock markets in G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 117-135.
    33. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    34. Winkelmann, Lars & Bibinger, Markus & Linzert, Tobias, 2013. "ECB monetary policy surprises: identification through cojumps in interest rates," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79721, Verein für Socialpolitik / German Economic Association.
    35. Patrick D'Arcy & Emily Poole, 2010. "Interpreting Market Responses to Economic Data," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 35-42, September.
    36. Thomas Gilbert & Chiara Scotti & Georg H. Strasser & Clara Vega, 2015. "Is the Intrinsic Value of Macroeconomic News Announcements Related to Their Asset Price Impact?," Boston College Working Papers in Economics 874, Boston College Department of Economics, revised 23 Apr 2015.
    37. Connolly, Robert & Dubofsky, David & Stivers, Chris, 2018. "Macroeconomic uncertainty and the distant forward-rate slope," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 140-161.
    38. Paul Hubert, 2014. "Disentangling qualitative and quantitative central bank influence," SciencePo Working papers Main hal-01098464, HAL.
    39. Pacheco, André Sanchez, 2023. "Inflation surprises across developed and emerging economies," Textos para discussão 566, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    40. Goodell, John W. & Alon, Ilan & Chiaramonte, Laura & Dreassi, Alberto & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Risk substitution in cryptocurrencies: Evidence from BRICS announcements," Emerging Markets Review, Elsevier, vol. 54(C).
    41. Degiannakis, Stavros & Filis, George & Tsemperlidis, Stefanos, 2018. "Economic announcements and the 10-year US Treasury bond: Surprising findings without the surprise component," MPRA Paper 94176, University Library of Munich, Germany.
    42. Winkelmann, Lars & Bibinger, Markus & Linzert, Tobias, 2013. "ECB monetary policy surprises: Identification through cojumps in interest rates," SFB 649 Discussion Papers 2013-038, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    43. Lars Winkelmann & Markus Bibinger & Tobias Linzert, 2016. "ECB Monetary Policy Surprises: Identification Through Cojumps in Interest Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 613-629, June.
    44. Michael J. Fleming & Neel Krishnan, 2009. "The microstructure of the TIPS market," Staff Reports 414, Federal Reserve Bank of New York.
    45. Carlo Rosa, 2013. "The high-frequency response of energy prices to monetary policy: understanding the empirical evidence," Staff Reports 598, Federal Reserve Bank of New York.
    46. Strohsal, Till & Melnick, Rafi & Nautz, Dieter, 2015. "The time-varying degree of inflation expectations anchoring," SFB 649 Discussion Papers 2015-028, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    47. Linzert, Tobias & Winkelmann, Lars & Bibinger, Markus, 2014. "ECB monetary policy surprises: identification through cojumps in interest rates," Working Paper Series 1674, European Central Bank.
    48. Santos, Francisco Luna & Garcia, Márcio Gomes Pinto & Medeiros, Marcelo Cunha, 2016. "The High Frequency Impact of Macroeconomic Announcements in the Brazilian Futures Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    49. Moretti, Laura, 2014. "Monetary policy, long real yields and the financial crisis," CFS Working Paper Series 457, Center for Financial Studies (CFS).
    50. Zhang, Ji, 2016. "Macroeconomic news and the real interest rates at the zero lower bound," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 172-185.
    51. Grothe, Magdalena & Lejsgaard Autrup, Søren, 2014. "Economic surprises and inflation expectations: Has anchoring of expectations survived the crisis?," Working Paper Series 1671, European Central Bank.
    52. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2014. "Level shifts in stock returns driven by large shocks," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 41-51.
    53. Carlo Rosa, 2012. "How "unconventional" are large-scale asset purchases? The impact of monetary policy on asset prices," Staff Reports 560, Federal Reserve Bank of New York.
    54. Marcio Garcia & Marcelo Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "The impact of macroeconomic announcements in the Brazilian futures markets," Textos para discussão 623, Department of Economics PUC-Rio (Brazil).
    55. Refet S. Gürkaynak & Burçin Kısacıkoğlu & Jonathan H. Wright, 2018. "Missing Events in Event Studies: Identifying the Effects of Partially-Measured News Surprises," NBER Working Papers 25016, National Bureau of Economic Research, Inc.
    56. Polyzos, Efstathios, 2023. "Inflation and the war in Ukraine: Evidence using impulse response functions on economic indicators and Twitter sentiment," Research in International Business and Finance, Elsevier, vol. 66(C).
    57. Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    58. Vilhelmsson, Anders, 2020. "Macro news and long-run volatility expectations," Knut Wicksell Working Paper Series 2020/1, Lund University, Knut Wicksell Centre for Financial Studies.
    59. Deepa Dhume Datta & Benjamin K. Johannsen & Hannah Kwon & Robert J. Vigfusson, 2018. "Oil, Equities, and the Zero Lower Bound," Finance and Economics Discussion Series 2018-058, Board of Governors of the Federal Reserve System (U.S.).
    60. De Rezende, Rafael B., 2015. "Risks in macroeconomic fundamentals and excess bond returns predictability," Working Paper Series 295, Sveriges Riksbank (Central Bank of Sweden).
    61. Ali Ozdagli, 2013. "Not so fast: high-frequency financial data for macroeconomic event studies," Working Papers 13-19, Federal Reserve Bank of Boston.
    62. James D. Hamilton & Jing Cynthia Wu, 2011. "Testable Implications of Affine Term Structure Models," NBER Working Papers 16931, National Bureau of Economic Research, Inc.
    63. Daniel Perico Ortiz, 2023. "Economic policy statements, social media, and stock market uncertainty: An analysis of Donald Trump’s tweets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 333-367, June.
    64. Burçin Kısacıkoğlu, 2020. "Real Term Structure and New Keynesian Models," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 95-139, June.
    65. Weber, Christoph S., 2019. "The effect of central bank transparency on exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 165-181.
    66. Timmermann, Allan & Burjack, Rafael & Qu, Ritong, 2019. "Fluctuations in Economic Uncertainty and Transmission of Monetary Policy Shocks: Evidence Using Daily Surveys from Brazil," CEPR Discussion Papers 14097, C.E.P.R. Discussion Papers.
    67. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    68. Samuel G Hanson & David O Lucca & Jonathan H Wright, 2021. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1719-1781.
    69. Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2017. "Is the intrinsic value of a macroeconomic news announcement related to its asset price impact?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 78-95.
    70. Liebermann, Joelle, 2011. "The Impact of Macroeconomic News on Bond Yields: (In)Stabilities over Time and Relative Importance," Research Technical Papers 7/RT/11, Central Bank of Ireland.
    71. Amengual, Dante & Xiu, Dacheng, 2018. "Resolution of policy uncertainty and sudden declines in volatility," Journal of Econometrics, Elsevier, vol. 203(2), pages 297-315.
    72. Ciccarelli, Matteo & Garcí­a, Juan Angel, 2009. "What drives euro area break-even inflation rates?," Working Paper Series 996, European Central Bank.
    73. Perico Ortiz, Daniel, 2021. "The high frequency impact of economic policy narratives on stock market uncertainty," FAU Discussion Papers in Economics 02/2021, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    74. Perico Ortiz, Daniel, 2023. "Inflation news coverage, expectations and risk premium," FAU Discussion Papers in Economics 05/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.

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

    Cited by:

    1. Coen N. Teulings & Nikolay Zubanov, 2014. "Is Economic Recovery A Myth? Robust Estimation Of Impulse Responses," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 497-514, April.
    2. Jessica A. Wachter & Missaka Warusawitharana, 2011. "What is the Chance that the Equity Premium Varies over Time? Evidence from Regressions on the Dividend-Price Ratio," NBER Working Papers 17334, National Bureau of Economic Research, Inc.
    3. Mario Alloza & Jesús Gonzalo & Carlos Sanz, 2025. "Dynamic Effects of Persistent Shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(4), pages 380-394, June.
    4. Erdemlioglu, Deniz, 2009. "Macro Factors in UK Excess Bond Returns: Principal Components and Factor-Model Approach," MPRA Paper 28895, University Library of Munich, Germany.
    5. Jon Faust & Jonathan H. Wright, 2018. "Risk Premia in the 8:30 Economy," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-19, September.
    6. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    7. Mr. Yan Carriere-Swallow & Bertrand Gruss & Mr. Nicolas E Magud & Mr. Fabian Valencia, 2016. "Monetary Policy Credibility and Exchange Rate Pass-Through," IMF Working Papers 2016/240, International Monetary Fund.
    8. Spilimbergo, Antonio & Magud, Nicolas, 2021. "Economic and Institutional Consequences of Populism," CEPR Discussion Papers 15824, C.E.P.R. Discussion Papers.
    9. Riza Erdugan & Nada Kulendran & Riccardo Natoli, 2019. "Incorporating financial market volatility to improve forecasts of directional changes in Australian share market returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 417-445, December.

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

    Cited by:

    1. Choi, Sangyup & Shin, Junhyeok & Yoo, Seung Yong, 2022. "Are government spending shocks inflationary at the zero lower bound? New evidence from daily data," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
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    149. Brian J. Henderson & Neil D. Pearson & Li Wang, 2015. "Editor's Choice New Evidence on the Financialization of Commodity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 28(5), pages 1285-1311.
    150. Perico Ortiz, Daniel, 2023. "Inflation news coverage, expectations and risk premium," FAU Discussion Papers in Economics 05/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    151. Juan Equiza Goni, 2014. "Sovereign Debt Maturity and Debt-to GDP Dynamics in Six Euro Area Countries," Working Papers ECARES ECARES 2014-44, ULB -- Universite Libre de Bruxelles.

  27. Jonathan H. Wright, 2008. "Term premiums and inflation uncertainty: empirical evidence from an international panel dataset," Finance and Economics Discussion Series 2008-25, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Lahlou, Kamal & Bennouna , Hicham, 2022. "Contributions des facteurs domestiques et externes à la dynamique de l’inflation au Maroc," Document de travail 2022-1, Bank Al-Maghrib, Département de la Recherche.
    2. Sangyong Joo & Daehwan Kim & Jeffrey Nilsen, 2021. "Monetary Policy and Long-Term Interest Rates in Korea: A Decomposition Analysis," Korean Economic Review, Korean Economic Association, vol. 37, pages 327-366.
    3. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2009. "Disagreement among Forecasters in G7 Countries," Macroeconomics and Finance Series 200906, University of Hamburg, Department of Socioeconomics.
    4. Jessica James & Michael Leister & Christoph Rieger, 2017. "An empirical method of calculating the term premium," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1783-1793, December.
    5. Michael T. Kiley, 2008. "Inflation expectations, uncertainty, the Phillips curve, and monetary policy - comments," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.

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

    Cited by:

    1. Kentaro Iwatsubo & Yoshihiro Kitamura, 2009. "Intraday evidence of the informational efficiency of the yen/dollar exchange rate," Applied Financial Economics, Taylor & Francis Journals, vol. 19(14), pages 1103-1115.
    2. Ranaldo, Angelo & de Magistris, Paolo Santucci, 2022. "Liquidity in the global currency market," Journal of Financial Economics, Elsevier, vol. 146(3), pages 859-883.
    3. Yuki MASUJIMA & Yuki SATO, 2024. "Drivers of Post-pandemic Currency Movement: Recurring impacts of sovereign risks and oil prices," Discussion papers 24054, Research Institute of Economy, Trade and Industry (RIETI).
    4. Chang, Ya-Ting & Gau, Yin-Feng & Hsu, Chih-Chiang, 2017. "Liquidity Commonality in Foreign Exchange Markets During the Global Financial Crisis and the Sovereign Debt Crisis: Effects of Macroeconomic and Quantitative Easing Announcements," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 172-192.

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

    Cited by:

    1. Michael D. Bauer & Carolin Pflueger & Adi Sunderam, 2023. "Perceptions about Monetary Policy," Working Paper Series 2023-31, Federal Reserve Bank of San Francisco.
    2. Mehmet Pasaogullari & Simeon Tsonevy, 2011. "The term structure of inflation compensation in the nominal yield curve," Working Papers (Old Series) 1133, Federal Reserve Bank of Cleveland.
    3. Jesus Sierra, 2014. "International Capital Flows and Bond Risk Premia," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-36.
    4. Mariano Kulish & Daniel Rees, 2008. "Monetary Transmission and the Yield Curve in a Small Open Economy," RBA Research Discussion Papers rdp2008-03, Reserve Bank of Australia.
    5. Cathy Yi-Hsuan Chen & Thomas C. Chiang, 2017. "Surprises, sentiments, and the expectations hypothesis of the term structure of interest rates," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 1-28, July.
    6. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    7. Dániel Horváth & Péter Kálmán & Zalán Kocsis & Imre Ligeti, 2014. "What factors influence the yield curve?," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 9(1), pages 28-39, March.
    8. Ray Fair, 2008. "Estimating Term Structure Equations Using Macroeconomic Variables," Yale School of Management Working Papers amz2387, Yale School of Management.
    9. Refet S. Gürkaynak & Jonathan H. Wright, 2012. "Macroeconomics and the Term Structure," Journal of Economic Literature, American Economic Association, vol. 50(2), pages 331-367, June.
    10. Kaminska, Iryna & Vayanos, Dimitri & Zinna, Gabriele, 2011. "Preferred-habitat investors and the US term structure of real rates," Bank of England working papers 435, Bank of England.
    11. Adam Golinski & Peter Spencer, 2019. "Estimating the term structure with linear regressions: Getting to the roots of the problem," Discussion Papers 19/05, Department of Economics, University of York.
    12. Campbell, John Y. & Sunderam, Adi & Viceira, Luis M., 2017. "Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds," Critical Finance Review, now publishers, vol. 6(2), pages 263-301, September.
    13. Dewachter, Hans & Iania, Leonardo, 2009. "An Extended Macro-Finance Model with Financial Factors," MPRA Paper 18840, University Library of Munich, Germany.
    14. Christian Wolff & Ron Jongen & Willem F.C. Verschoor, 2009. "Time-Variation in Term Permia: International Survey-Based Evidence," LSF Research Working Paper Series 09-02, Luxembourg School of Finance, University of Luxembourg.
    15. Kučera, Adam, 2020. "Identification of triggers of U.S. yield curve movements," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    16. Menzie D. Chinn & Hiro Ito & Robert N. McCauley, 2021. "Do Central Banks Rebalance Their Currency Shares?," NBER Working Papers 29190, National Bureau of Economic Research, Inc.
    17. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2010. "The Bond Yield Conundrum : Alternative Hypotheses and the State of the Economy," Other publications TiSEM 8b320ebf-1447-46c9-82e3-c, Tilburg University, School of Economics and Management.
    18. Signe Krogstrup & Samuel Reynard & Barbara Sutter, 2012. "Liquidity Effects of Quantitative Easing on Long-Term Interest Rates," Working Papers 2012-02, Swiss National Bank.
    19. Markmann, Holger & Zietz, Joachim, 2017. "Determining the effectiveness of the Eurosystem’s Covered Bond Purchase Programs on secondary markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 314-327.
    20. Saar, Dan & Yagil, Yossi, 2015. "Forecasting growth and stock performance using government and corporate yield curves: Evidence from the European and Asian markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 27-41.
    21. Refet S. Gürkaynak & Brian Sack & Jonathan H. Wright, 2010. "The TIPS Yield Curve and Inflation Compensation," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 70-92, January.
    22. Ms. Sonali Jain-Chandra & Ms. Filiz D Unsal, 2012. "The Effectiveness of Monetary Policy Transmission Under Capital Inflows: Evidence from Asia," IMF Working Papers 2012/265, International Monetary Fund.
    23. Chien-Chiang Wang, 2021. "Online Appendix to "Asset Market Frictions, Household Heterogeneity, and the Liquidity Theory of the Term Structure"," Online Appendices 19-500, Review of Economic Dynamics.
    24. Taboga, Marco, 2009. "Macro-finance VARs and bond risk premia: A caveat," Review of Financial Economics, Elsevier, vol. 18(4), pages 163-171, October.
    25. Michael D. Bauer, 2011. "Restrictions on Risk Prices in Dynamic Term Structure Models," Working Paper Series 2011-03, Federal Reserve Bank of San Francisco.
    26. Kurita, Takamitsu, 2016. "Markov-switching variance models and structural changes underlying Japanese bond yields: An inquiry into non-linear dynamics," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 74-80.
    27. Adam Kucera & Evzen Kocenda & Ales Marsal, 2022. "Yield Curve Dynamics and Fiscal Policy Shocks," Working Papers IES 2022/04, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2022.
    28. Gil-Alana, Luis A. & Moreno, Antonio, 2012. "Uncovering the US term premium: An alternative route," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1181-1193.
    29. Adam Kucera & Michal Dvorak & Zlatuse Komarkova, 2017. "Decomposition of the Czech government bond yield curve," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2016/2017, chapter 0, pages 125-134, Czech National Bank, Research and Statistics Department.
    30. Felix Geiger, 2009. "International Interest-Rate Risk Premia in Affine Term Structure Models," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 316/2009, Department of Economics, University of Hohenheim, Germany.
    31. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    32. Daniel L. Thornton, 2018. "Greenspan's Conundrum and the Fed's Ability to Affect Long‐Term Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 513-543, March.
    33. De Graeve, Ferre & Emiris, Marina & Wouters, Raf, 2009. "A structural decomposition of the US yield curve," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 545-559, May.
    34. Gregory Bauer & Antonio Diez de los Rios, 2012. "An International Dynamic Term Structure Model with Economic Restrictions and Unspanned Risks," Staff Working Papers 12-5, Bank of Canada.
    35. Oreste Tristani & Gianni Amisano, 2010. "A nonlinear DSGE model of the term structure with regime shifts," 2010 Meeting Papers 234, Society for Economic Dynamics.
    36. Giannone, Domenico & Lenza, Michele & Reichlin, Lucrezia, 2019. "Money, credit, monetary policy and the business cycle in the euro area: what has changed since the crisis?," Working Paper Series 2226, European Central Bank.
    37. Gabriele Zinna, 2016. "Price Pressures on UK Real Rates: An Empirical Investigation," Review of Finance, European Finance Association, vol. 20(4), pages 1587-1630.
    38. Yunus Aksoy & Henrique S. Basso, 2015. "Securitization and asset prices," Working Papers 1526, Banco de España.
    39. Don H. Kim, 2009. "Challenges in macro-finance modeling," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 519-544.
    40. Matteo Modena, 2008. "The Term Structure and the Expectations Hypothesis: a Threshold Model," Working Papers 2008_36, Business School - Economics, University of Glasgow.
    41. Kulish, Mariano & Rees, Daniel, 2011. "The yield curve in a small open economy," Journal of International Economics, Elsevier, vol. 85(2), pages 268-279.
    42. Dániel Horváth & Péter Kálmán & Zalán Kocsis & Imre Ligeti, 2014. "Short-rate expectations and term premia: experiences from Hungary and other emerging market economies," BIS Papers chapters, in: Bank for International Settlements (ed.), The transmission of unconventional monetary policy to the emerging markets, volume 78, pages 185-196, Bank for International Settlements.
    43. Sungjun Cho & Liu Liu, 2023. "Correcting estimation bias in regime switching dynamic term structure models," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 1093-1127, October.
    44. Caroline JARDET & Alain MONFORT & Fulvio PEGORARO, 2011. "No-arbitrage Near-Cointegrated VAR(p) Term Structure Models, Term Premia and GDP Growth," Working Papers 2011-03, Center for Research in Economics and Statistics.
    45. Ceballos, Luis & Naudon, Alberto & Romero, Damian, 2014. "Nominal Term Structure and Term Premia. Evidence from Chile," MPRA Paper 60911, University Library of Munich, Germany.
    46. Kristoffer Nimark, 2009. "Speculative dynamics in the term structure of interest rates," Economics Working Papers 1194, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2012.
    47. Gabriele Zinna, 2014. "Price pressures in the UK index-linked market: an empirical investigation," Temi di discussione (Economic working papers) 968, Bank of Italy, Economic Research and International Relations Area.
    48. Don H. Kim, 2008. "Challenges in macro-finance modeling," Finance and Economics Discussion Series 2008-06, Board of Governors of the Federal Reserve System (U.S.).
    49. Olaf Posch, 2018. "Resurrecting the New-Keynesian Model: (Un)conventional Policy and the Taylor Rule," CESifo Working Paper Series 6925, CESifo.
    50. Joseph E. Gagnon & Matthew Raskin & Julie Remache & Brian P. Sack, 2010. "Large-scale asset purchases by the Federal Reserve: did they work?," Staff Reports 441, Federal Reserve Bank of New York.
    51. Halberstadt, Arne, 2015. "The term structure of interest rates and the macroeconomy: Learning about economic dynamics from a FAVAR," Discussion Papers 02/2015, Deutsche Bundesbank.
    52. Helmut Herwartz & Jan Roestel, 2011. "Convergence of Real Capital Market Interest Rates—Evidence from Inflation Indexed Bonds," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(7), pages 1523-1541, October.
    53. Mirko Abbritti & Luis A. Gil-Alana & Yuliya Lovcha & Antonio Moreno, 2016. "Term Structure Persistence," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 331-352.
    54. Modena, Matteo, 2008. "Yield curve, time varying term premia, and business cycle fluctuations," MPRA Paper 8873, University Library of Munich, Germany.
    55. Samuel G Hanson & David O Lucca & Jonathan H Wright, 2021. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1719-1781.
    56. Carlos E. Zarazaga, 2010. "The difficult art of eliciting long-run inflation expectations from government bond prices," Staff Papers, Federal Reserve Bank of Dallas, issue Mar.
    57. Francisco Palomino, 2012. "Bond Risk Premiums and Optimal Monetary Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(1), pages 19-40, January.
    58. Véronique Lederman, 2010. "Du Paradoxe De La Securite A La Cindynique Financiere," Post-Print hal-00479484, HAL.
    59. Bruno Feunou & Jean-Sébastien Fontaine, 2014. "Bond Risk Premia and Gaussian Term Structure Models," Staff Working Papers 14-13, Bank of Canada.
    60. Don H Kim, 2007. "Spanned stochastic volatility in bond markets: a reexamination of the relative pricing between bonds and bond options," BIS Working Papers 239, Bank for International Settlements.
    61. George A. Kahn, 2010. "Taylor rule deviations and financial imbalances," Economic Review, Federal Reserve Bank of Kansas City, vol. 95(Q II), pages 63-99.

  30. Jon Faust & Jonathan H. Wright, 2007. "Comparing Greenbook and Reduced Form Forecasts using a Large Realtime Dataset," NBER Working Papers 13397, National Bureau of Economic Research, Inc.

    Cited by:

    1. Exterkate, Peter & Groenen, Patrick J.F. & Heij, Christiaan & van Dijk, Dick, 2016. "Nonlinear forecasting with many predictors using kernel ridge regression," International Journal of Forecasting, Elsevier, vol. 32(3), pages 736-753.
    2. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    3. Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    5. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
    6. Knüppel, Malte & Schultefrankenfeld, Guido, 2018. "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers 56/2018, Deutsche Bundesbank.
    7. Jon Faust & Abhishek Gupta, 2012. "Posterior Predictive Analysis for Evaluating DSGE Models," NBER Working Papers 17906, National Bureau of Economic Research, Inc.
    8. Chang, Andrew C. & Hanson, Tyler J., 2016. "The accuracy of forecasts prepared for the Federal Open Market Committee," Journal of Economics and Business, Elsevier, vol. 83(C), pages 23-43.
    9. Michael S. Smith & Shaun P. Vahey, 2016. "Asymmetric Forecast Densities for U.S. Macroeconomic Variables from a Gaussian Copula Model of Cross-Sectional and Serial Dependence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 416-434, July.
    10. Natsuki Arai, 2016. "Evaluating the Efficiency of the FOMC's New Economic Projections," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(5), pages 1019-1049, August.
    11. James D. Hamilton, 2018. "The Efficacy of Large-Scale Asset Purchases When the Short-Term Interest Rate Is at Its Effective Lower Bound," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(2 (Fall)), pages 543-554.
    12. Gamber, Edward N. & Smith, Julie K. & McNamara, Dylan C., 2014. "Where is the Fed in the distribution of forecasters?," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 296-312.
    13. Svetlana Makarova, 2014. "Risk and Uncertainty: Macroeconomic Perspective," UCL SSEES Economics and Business working paper series 129, UCL School of Slavonic and East European Studies (SSEES).
    14. Francesco Ravazzolo & Philip Rothman, 2013. "Oil and U.S. GDP: A Real-Time Out-of-Sample Examination," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 449-463, March.
    15. Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
    16. Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
    17. Andrew Martinez, 2017. "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series) 1717, Federal Reserve Bank of Cleveland.
    18. Paul Hubert, 2009. "An Empirical Review of Federal Reserve’s Informational Advantage," Documents de Travail de l'OFCE 2009-03, Observatoire Francais des Conjonctures Economiques (OFCE).
    19. Ilhan Kilic & Faruk Balli, 2024. "Measuring economic country-specific uncertainty in Türkiye," Empirical Economics, Springer, vol. 67(4), pages 1649-1689, October.
    20. Fabio Canova & Luca Gambetti, 2007. "Do expectations matter? The Great Moderation revisited," Economics Working Papers 1084, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2009.
    21. Jennifer Castle & David Hendry, 2012. "Forecasting by factors, by variables, or both?," Economics Series Working Papers 600, University of Oxford, Department of Economics.
    22. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    23. Erik Hillebrand & Tae-Hwy Lee & Marcelo Cunha Medeiros, 2012. "Let´s do it again: bagging equity premium predictors," Textos para discussão 604, Department of Economics PUC-Rio (Brazil).
    24. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    25. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    26. Rossi, Barbara & Sekhposyan, Tatevik, 2016. "Forecast Rationality Tests in the Presence of Instabilities, With Applications to Federal Reserve and Survey Forecasts," CEPR Discussion Papers 11391, C.E.P.R. Discussion Papers.
    27. Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in Real-Time: A Density Combination Approach," Working Papers No 1/2011, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    28. 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.
    29. 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.
    30. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Nowcasting tail risk to economic activity at a weekly frequency," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 843-866, August.
    31. Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
    32. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparision of forecast, simple reduced-form models, and a DSGE model," CAMA Working Papers 2009-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    33. Barbara Rossi, 2011. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 25-29, August.
    34. Graziano Moramarco, 2025. "Regime‐Switching Density Forecasts Using Economists' Scenarios," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 833-845, March.
    35. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
    36. Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series) 1439, Federal Reserve Bank of Cleveland.
    37. Reifschneider, David & Tulip, Peter, 2019. "Gauging the uncertainty of the economic outlook using historical forecasting errors: The Federal Reserve’s approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1564-1582.
    38. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    39. Gamber, Edward N. & Liebner, Jeffrey P. & Smith, Julie K., 2015. "The distribution of inflation forecast errors," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 47-64.
    40. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    41. Duc Do, Nguyen, 2024. "Money/asset ratio as a predictor of inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 97(C).
    42. Bhatt, Vipul & Kishor, Kundan & Marfatia, Hardik, 2017. "Estimating excess sensitivity and habit persistence in consumption using Greenbook forecast as an instrument," MPRA Paper 79748, University Library of Munich, Germany.
    43. Wieland, Volker & Wolters, Maik H., 2010. "The diversity of forecasts from macroeconomic models of the U.S. economy," CFS Working Paper Series 2010/08, Center for Financial Studies (CFS).
    44. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324, Elsevier.
    45. Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
    46. Tae-Hwy Lee & Yiyao Wang, 2015. "Finding SPF Percentiles Closest to Greenbook," Working Papers 201503, University of California at Riverside, Department of Economics.
    47. Lunsford, Kurt G., 2015. "Forecasting residential investment in the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 276-285.
    48. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting GDP using machine learning algorithms: A real-time assessment," Reserve Bank of New Zealand Discussion Paper Series DP2019/03, Reserve Bank of New Zealand.
    49. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    50. Natsuki Arai & Shian Chang, 2025. "Dispersion of FOMC Policymakers: Evidence from Individual Economic Projections with Identities," Working Papers 2025-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    51. Rossi, Barbara & Sekhposyan, Tatevik & Hoesch, Lukas, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," CEPR Discussion Papers 14456, C.E.P.R. Discussion Papers.
    52. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2012. "Common Drifting Volatility in Large Bayesian VARs," CEPR Discussion Papers 8894, C.E.P.R. Discussion Papers.
    53. Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
    54. Olena Chyruk & Luca Benzoni & Andrea Ajello, 2012. "Core and `Crust': Consumer Prices and the Term Structure of Interest Rates," 2012 Meeting Papers 922, Society for Economic Dynamics.
    55. Tyler Pike & Horacio Sapriza & Tom Zimmermann, 2019. "Bottom-up Leading Macroeconomic Indicators: An Application to Non-Financial Corporate Defaults using Machine Learning," Finance and Economics Discussion Series 2019-070, Board of Governors of the Federal Reserve System (U.S.).
    56. 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.
    57. João Valle e Azevedo, 2011. "Rational vs. professional forecasts," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    58. Edward S. Knotek & Saeed Zaman, 2017. "Nowcasting U.S. Headline and Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
    59. Peter Tulip, 2009. "Has the Economy Become More Predictable? Changes in Greenbook Forecast Accuracy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1217-1231, September.
    60. Oh, Dong Hwan & Patton, Andrew J., 2024. "Better the devil you know: Improved forecasts from imperfect models," Journal of Econometrics, Elsevier, vol. 242(1).
    61. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    62. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
    63. Rodrigo Sekkel, 2014. "Balance Sheets of Financial Intermediaries: Do They Forecast Economic Activity?," Staff Working Papers 14-40, Bank of Canada.
    64. Stekler, Herman & Symington, Hilary, 2016. "Evaluating qualitative forecasts: The FOMC minutes, 2006–2010," International Journal of Forecasting, Elsevier, vol. 32(2), pages 559-570.
    65. Boussios, David & Skorbiansky, Sharon Raszap & MacLachlan, Matthew, 2021. "Evaluating U.S. Department of Agriculture’s Long-Term Forecasts for U.S. Harvested Area," Economic Research Report 327201, United States Department of Agriculture, Economic Research Service.
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  31. Jonathan H. Wright & Hao Zhou, 2007. "Bond risk premia and realized jump volatility," Finance and Economics Discussion Series 2007-22, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Todorov, Viktor & Bollerslev, Tim, 2010. "Jumps and betas: A new framework for disentangling and estimating systematic risks," Journal of Econometrics, Elsevier, vol. 157(2), pages 220-235, August.
    2. Fulvio Corsi & Davide Pirino & Roberto Reno', 2010. "Threshold Bipower Variation and the Impact of Jumps on Volatility Forecasting," LEM Papers Series 2010/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

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

    Cited by:

    1. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    2. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    3. Lixiong Yang, 2022. "Threshold mixed data sampling (TMIDAS) regression models with an application to GDP forecast errors," Empirical Economics, Springer, vol. 62(2), pages 533-551, February.
    4. Charles Engel & John H. Rogers, 2008. "Expected consumption growth from cross-country surveys: implications for assessing international capital markets," International Finance Discussion Papers 949, Board of Governors of the Federal Reserve System (U.S.).
    5. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    6. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    7. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    8. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    9. Lixiong Yang & Mingjian Ren & Jianming Bai, 2025. "Threshold mixed data sampling logit model with an application to forecasting US bank failures," Empirical Economics, Springer, vol. 68(1), pages 433-477, January.
    10. Feng Shen & Xiaodong Yan & Yuhuang Shang, 2024. "A novel hybrid PSO-MIDAS model and its application to the U.S. GDP forecast," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-22, December.
    11. Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in Real-Time: A Density Combination Approach," Working Papers No 1/2011, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    12. Michael P. Clements & Ana Beatriz Galvão, 2007. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth," Working Papers 616, Queen Mary University of London, School of Economics and Finance.
    13. Jiang, Yu & Guo, Yongji & Zhang, Yihao, 2017. "Forecasting China's GDP growth using dynamic factors and mixed-frequency data," Economic Modelling, Elsevier, vol. 66(C), pages 132-138.
    14. Constantin Rudolf Salomo Bürgi, 2023. "How to deal with missing observations in surveys of professional forecasters," Journal of Applied Economics, Taylor & Francis Journals, vol. 26(1), pages 2185975-218, December.
    15. Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
    16. Pitschner, Stefan, 2013. "Using Financial Markets To Estimate the Macro Effects of Monetary Policy:," Working Paper Series 267, Sveriges Riksbank (Central Bank of Sweden).
    17. Geoff Kenny & Thomas Kostka & Federico Masera, 2014. "How Informative are the Subjective Density Forecasts of Macroeconomists?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(3), pages 163-185, April.
    18. Biswas, Anindya, 2014. "The output gap and expected security returns," Review of Financial Economics, Elsevier, vol. 23(3), pages 131-140.
    19. Elena Andreou, Eric Ghysels & Eric Ghysels & Andros Kourtellos, 2007. "Regression Models with Mixed Sampling Frequencies," University of Cyprus Working Papers in Economics 8-2007, University of Cyprus Department of Economics.
    20. Didier Nibbering & Richard Paap & Michel van der Wel, 2015. "What Do Professional Forecasters Actually Predict?," Tinbergen Institute Discussion Papers 15-095/III, Tinbergen Institute, revised 13 Oct 2017.
    21. Clements, Michael P. & Galvao, Ana Beatriz, 2006. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US output growth and inflation," Economic Research Papers 269743, University of Warwick - Department of Economics.
    22. J. Isaac Miller, 2014. "Mixed-frequency Cointegrating Regressions with Parsimonious Distributed Lag Structures," Journal of Financial Econometrics, Oxford University Press, vol. 12(3), pages 584-614.
    23. Ilek, Alex, 2021. "Are monetary surprises effective? The view of professional forecasters in Israel," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 516-530.
    24. Degiannakis, Stavros & Filis, George, 2018. "Forecasting oil prices: High-frequency financial data are indeed useful," Energy Economics, Elsevier, vol. 76(C), pages 388-402.
    25. Mont'Alverne Duarte, Angelo & Gaglianone, Wagner Piazza & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor, 2021. "Commodity prices and global economic activity: A derived-demand approach," Energy Economics, Elsevier, vol. 96(C).
    26. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    27. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    28. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
    29. Yimin Yang & Fei Jia & Haoran Li, 2023. "Estimation of Panel Data Models with Mixed Sampling Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 514-544, June.
    30. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals: Google Trends Meets Mixed Frequency Data," MPRA Paper 90205, University Library of Munich, Germany.
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    1. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    2. Rebecca Stuart, 2020. "Monetary regimes, the term structure and business cycles in Ireland, 1972–2018," Manchester School, University of Manchester, vol. 88(5), pages 731-748, September.
    3. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    4. Rachidi Kotchoni & Dalibor Stevanovic, 2020. "GDP Forecast Accuracy During Recessions," Working Papers 20-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    5. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    6. Azhar Iqbal & John Silvia, 2016. "Is Predicting Recessions Enough?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 248-259, October.
    7. Mathias Moersch & Armin Pohl, 2011. "Predicting recessions with the term spread - recent evidence from seven countries," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1285-1288.
    8. Michael W. McCracken & Joseph T. McGillicuddy & Michael T. Owyang, 2022. "Binary Conditional Forecasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1246-1258, June.
    9. Ireland, Peter N., 2015. "Monetary policy, bond risk premia, and the economy," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 124-140.
    10. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    11. Charlotte Christiansen, 2011. "Predicting Severe Simultaneous Recessions Using Yield Spreads as Leading Indicators," CREATES Research Papers 2011-20, Department of Economics and Business Economics, Aarhus University.
    12. Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
    13. Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018. "Forecasting banking crises with dynamic panel probit models," International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
    14. Gerlach, Stefan & Stuart, Rebecca, 2018. "The Slope of the Term Structure and Recessions: The Pre-Fed Evidence, 1857-1913," CEPR Discussion Papers 13013, C.E.P.R. Discussion Papers.
    15. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    16. Daniel Detzer & Christian R. Proaño & Katja Rietzler & Sven Schreiber & Thomas Theobald & Sabine Stephan, 2012. "Verfahren der konjunkturellen Wendepunktbestimmung unter Berücksichtigung der Echtzeit-Problematik," IMK Studies 27-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    17. Bordo, Michael D. & Haubrich, Joseph G., 2008. "Forecasting with the yield curve; level, slope, and output 1875-1997," Economics Letters, Elsevier, vol. 99(1), pages 48-50, April.
    18. Chauvet, Marcelle & Senyuz, Zeynep, 2016. "A dynamic factor model of the yield curve components as a predictor of the economy," International Journal of Forecasting, Elsevier, vol. 32(2), pages 324-343.
    19. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    20. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2021. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Working Paper Series 2614, European Central Bank.
    21. Glenn D. Rudebusch & Brian P. Sack & Eric T. Swanson, 2006. "Macroeconomic implications of changes in the term premium," Working Paper Series 2006-46, Federal Reserve Bank of San Francisco.
    22. Hamilton, James D., 2011. "Calling recessions in real time," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1006-1026, October.
    23. Travis J. Berge, 2015. "Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(6), pages 455-471, September.
    24. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2010. "The yield curve and the macro-economy across time and frequencies," CEF.UP Working Papers 1004, Universidade do Porto, Faculdade de Economia do Porto.
    25. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
    26. Michael Bleaney & Paul Mizen & Veronica Veleanu, 2012. "Bond Spreads as Predictors of Economic Activity in Eight European Economies," Discussion Papers 12/11, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    27. Nyberg, Henri, 2010. "QR-GARCH-M Model for Risk-Return Tradeoff in U.S. Stock Returns and Business Cycles," MPRA Paper 23724, University Library of Munich, Germany.
    28. Mohamed Ben Alaya & Ahmed Kebaier & Djibril Sarr, 2024. "Credit Spreads' Term Structure: Stochastic Modeling with CIR++ Intensity," Papers 2409.09179, arXiv.org.
    29. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    30. Sun, Xiaojin & Tsang, Kwok Ping, 2023. "Yield curve and the macroeconomy: Evidence from a DSGE model with housing," Journal of Macroeconomics, Elsevier, vol. 75(C).
    31. Gilchrist, Simon & Yankov, Vladimir & Zakrajsek, Egon, 2009. "Credit market shocks and economic fluctuations: Evidence from corporate bond and stock markets," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 471-493, May.
    32. Hasse, Jean-Baptiste & Lajaunie, Quentin, 2022. "Does the yield curve signal recessions? New evidence from an international panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 9-22.
    33. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    34. Glenn D. Rudebusch & John C. Williams, 2007. "Forecasting recessions: the puzzle of the enduring power of the yield curve," Working Paper Series 2007-16, Federal Reserve Bank of San Francisco.
    35. Dahlquist, Magnus & Hasseltoft, Henrik, 2013. "International Bond Risk Premia," Journal of International Economics, Elsevier, vol. 90(1), pages 17-32.
    36. Pablo Aguilar & Corinna Ghirelli & Matías Pacce & Alberto Urtasun, 2020. "Can news help measure economic sentiment? An application in COVID-19 times," Working Papers 2027, Banco de España.
    37. Valerio Ercolani & Filippo Natoli, 2020. "Forecasting US recessions: the role of economic uncertainty," Temi di discussione (Economic working papers) 1299, Bank of Italy, Economic Research and International Relations Area.
    38. Mateus A. Feitosa & Benjamin M. Tabak, 2007. "Predictability Of Economic Activity Using Yield Spreads: The Case Of Brazil," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 029, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    39. Thomas B. King & Andrew T. Levin & Roberto Perli, 2007. "Financial market perceptions of recession risk," Finance and Economics Discussion Series 2007-57, Board of Governors of the Federal Reserve System (U.S.).
    40. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
    41. Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    42. Boukhatem, Jamel & Sekouhi, Hayfa, 2017. "What does the bond yield curve tell us about Tunisian economic activity?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 295-303.
    43. Gross, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
    44. Pönkä, Harri & Zheng, Yi, 2019. "The role of oil prices on the Russian business cycle," Research in International Business and Finance, Elsevier, vol. 50(C), pages 70-78.
    45. Apergis, Nicholas & Artikis, Panagiotis G. & Kyriazis, Dimitrios, 2015. "Does stock market liquidity explain real economic activity? New evidence from two large European stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 42-64.
    46. Peláez, Rolando F., 2015. "Market-timing the business cycle," Review of Financial Economics, Elsevier, vol. 26(C), pages 55-64.
    47. Christiansen, Charlotte & Eriksen, Jonas Nygaard & Møller, Stig Vinther, 2014. "Forecasting US recessions: The role of sentiment," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 459-468.
    48. Boulis Ibrahim & Janusz Brzeszczynski, 2013. "Interdependence of Stock Markets Before and After the Global Financial Crisis of 2007," CFI Discussion Papers 1305, Centre for Finance and Investment, Heriot Watt University.
    49. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
    50. Weiling Liu & Emanuel Moench, 2014. "What predicts U.S. recessions?," Staff Reports 691, Federal Reserve Bank of New York.
    51. Modena, Matteo, 2008. "Yield curve, time varying term premia, and business cycle fluctuations," MPRA Paper 8873, University Library of Munich, Germany.
    52. Schrimpf, Andreas & Wang, Qingwei, 2010. "A reappraisal of the leading indicator properties of the yield curve under structural instability," International Journal of Forecasting, Elsevier, vol. 26(4), pages 836-857, October.
    53. Sebastian Fossati, 2015. "Forecasting US recessions with macro factors," Applied Economics, Taylor & Francis Journals, vol. 47(53), pages 5726-5738, November.
    54. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    55. Rebecca Stuart, 2020. "The term structure, leading indicators, and recessions: evidence from Switzerland, 1974–2017," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-17, December.
    56. Proaño, Christian R. & Theobald, Thomas, 2014. "Predicting recessions with a composite real-time dynamic probit model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 898-917.
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  37. Don H. Kim & Jonathan H. Wright, 2005. "An arbitrage-free three-factor term structure model and the recent behavior of long-term yields and distant-horizon forward rates," Finance and Economics Discussion Series 2005-33, Board of Governors of the Federal Reserve System (U.S.).

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    1. Hans Dewachter & Leonardo Iania & Marco Lyrio, 2014. "Information in the yield curve: A Macro-Finance approach," Working Paper Research 254, National Bank of Belgium.
    2. Ethan Struby & Michael F. Connolly, 2022. "Shadow Rate Models and Monetary Policy," Working Papers 2022-03, Carleton College, Department of Economics.
    3. Goliński, Adam, 2021. "Monetary policy at the zero lower bound: Information in the Federal Reserve’s balance sheet," European Economic Review, Elsevier, vol. 131(C).
    4. Speck, Christian, 2023. "Pricing the Bund term structure with linear regressions – without an observable short rate," Discussion Papers 08/2023, Deutsche Bundesbank.
    5. Craine, Roger & Martin, Vance L, 2009. "Interest Rate Conundrum," Department of Economics, Working Paper Series qt0409193t, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Ichiue, Hibiki & Ueno, Yoichi, 2015. "Monetary policy and the yield curve at zero interest," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 1-12.
    7. Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," Economics Working Paper Archive 600, The Johns Hopkins University,Department of Economics.
    8. Tobias Adrian & J. Nellie Liang, 2014. "Monetary policy, financial conditions, and financial stability," Staff Reports 690, Federal Reserve Bank of New York.
    9. Taisuke Nakata & Hiroatsu Tanaka, 2020. "Equilibrium Yield Curves and the Interest Rate Lower Bound," CARF F-Series CARF-F-482, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    10. Kaszab, Lorant & Marsal, Ales, 2013. "Fiscal Policy and the Nominal Term Premium," Cardiff Economics Working Papers E2013/13, Cardiff University, Cardiff Business School, Economics Section.
    11. Elizondo Rocío, 2023. "The Three Intelligible Factors of the Yield Curve in Mexico," Working Papers 2023-13, Banco de México.
    12. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    13. 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).
    14. Glenn D. Rudebusch & Eric T. Swanson & Tao Wu, 2006. "The Bond Yield "Conundrum" from a Macro-Finance Perspective," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 24(S1), pages 83-109, December.
    15. Mirkov, Nikola, 2012. "International Financial Transmission of the US Monetary Policy: An Empirical Assessment," Working Papers on Finance 1201, University of St. Gallen, School of Finance.
    16. Peter Hördahl & Eli M Remolona & Giorgio Valente, 2015. "Expectations and risk premia at 8:30am: Macroeconomic announcements and the yield curve," BIS Working Papers 527, Bank for International Settlements.
    17. Daniel L. Thornton, 2008. "The unusual behavior of the federal funds and 10-year Treasury rates: a conundrum or Goodhart’s Law?," Working Papers 2007-039, Federal Reserve Bank of St. Louis.
    18. Taisuke Nakata & Hiroatsu Tanaka, 2016. "Equilibrium Yield Curves and the Interest Rate Lower Bound," Finance and Economics Discussion Series 2016-085, Board of Governors of the Federal Reserve System (U.S.).
    19. J. Benson Durham, 2007. "Implied interest rate skew, term premiums, and the \"conundrum\"," Finance and Economics Discussion Series 2007-55, Board of Governors of the Federal Reserve System (U.S.).
    20. Michiel D. de Pooter & Francesco Ravazzolo & Dick van Dijk, 2007. "Predicting the Term Structure of Interest Rates: Incorporating Parameter Uncertainty, Model Uncertainty and Macroeconomic Information," Tinbergen Institute Discussion Papers 07-028/4, Tinbergen Institute.
    21. Kučera, Adam, 2020. "Identification of triggers of U.S. yield curve movements," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    22. Bandholz, Harm & Clostermann, Jörg & Seitz, Franz, 2007. "Explaining the US bond yield conundrum," Weidener Diskussionspapiere 2, University of Applied Sciences Amberg-Weiden (OTH).
    23. Chen, Zhengyang, 2019. "The Long-term Rate and Interest Rate Volatility in Monetary Policy Transmission," MPRA Paper 96339, University Library of Munich, Germany.
    24. Carlo Altavilla & Domenico Giannone & Michèle Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Working Papers ECARES ECARES 2014-34, ULB -- Universite Libre de Bruxelles.
    25. Davis, Josh & Fuenzalida, Cristian & Huetsch, Leon & Mills, Benjamin & Taylor, Alan M., 2024. "Global natural rates in the long run: Postwar macro trends and the market-implied r∗ in 10 advanced economies," Journal of International Economics, Elsevier, vol. 149(C).
    26. Demiralp, Selva & Yılmaz, Kamil, 2012. "Asymmetric response to monetary policy surprises at the long-end of the yield curve," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 404-418.
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    32. Joyce, Michael A.S. & Lildholdt, Peter & Sorensen, Steffen, 2010. "Extracting inflation expectations and inflation risk premia from the term structure: A joint model of the UK nominal and real yield curves," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 281-294, February.
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    42. Drew D. Creal & Jing Cynthia Wu, 2014. "Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility," NBER Working Papers 20115, National Bureau of Economic Research, Inc.
    43. Gil-Alana, Luis A. & Moreno, Antonio, 2012. "Uncovering the US term premium: An alternative route," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1181-1193.
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    45. Carlo A. Favero & Ruben Fernandez-Fuertes, 2023. "Modelling the Term Structure with Trends in Yields and Cycles in Excess Returns," BAFFI CAREFIN Working Papers 23210, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    46. Calice, Giovanni & Ioannidis, Christos & Miao, RongHui, 2016. "A Markov switching unobserved component analysis of the CDX index term premium," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 189-204.
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    48. Christoph Boehm & T. Niklas Kroner, 2024. "Monetary Policy without Moving Interest Rates: The Fed Non-Yield Shock," NBER Working Papers 32636, National Bureau of Economic Research, Inc.
    49. François Gourio & Phuong Ngo, 2024. "Downward Nominal Rigidities and Bond Premia," Working Paper Series WP 2024-09, Federal Reserve Bank of Chicago.
    50. Orphanides, Athanasios & Kim, Don H., 2005. "Term Structure Estimation with Survey Data on Interest Rate Forecasts," CEPR Discussion Papers 5341, C.E.P.R. Discussion Papers.
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    74. Malik, Sheheryar & Meldrum, Andrew, 2014. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Bank of England working papers 518, Bank of England.
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  38. Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Raj S. Krishnasami Iyer & David Liu & Jonathan H. Wright, 2004. "The high-frequency effects of U.S. macroeconomic data releases on prices and trading activity in the global interdealer foreign exchange market," International Finance Discussion Papers 823, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Andreas M. Fischer & Angelo Ranaldo, 2008. "Does FOMC News Increase Global FX Trading?," Working Papers 2008-09, Swiss National Bank.
    2. Kathryn M. E. Dominguez & Freyan Panthaki, 2007. "The Influence of Actual and Unrequited Interventions," Working Papers 561, Research Seminar in International Economics, University of Michigan.
    3. Ito, Takatoshi & Yamada, Masahiro, 2018. "Did the reform fix the London fix problem?," Journal of International Money and Finance, Elsevier, vol. 80(C), pages 75-95.
    4. M. Frömmel & N. Kiss M & K. Pintér & -, 2009. "Macroeconomic announcements, communication and order flow on the Hungarian foreign exchange market," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/626, Ghent University, Faculty of Economics and Business Administration.
    5. Balazs Egert, 2009. "The Impact of Monetary and Commodity Fundamentals, Macro News and Central Bank Communication on the Exchange Rate: Evidence from South Africa," William Davidson Institute Working Papers Series wp955, William Davidson Institute at the University of Michigan.
    6. Fatum, Rasmus & Scholnick, Barry, 2008. "Monetary policy news and exchange rate responses: Do only surprises matter?," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1076-1086, June.
    7. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2007. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," International Finance Discussion Papers 905, Board of Governors of the Federal Reserve System (U.S.).
    8. Fang Cai & Edward Howorka & Jon Wongswan, 2006. "Transmission of volatility and trading activity in the global interdealer foreign exchange market: evidence from electronic broking services (EBS) data," International Finance Discussion Papers 863, Board of Governors of the Federal Reserve System (U.S.).
    9. Ito, Takatoshi & Hashimoto, Yuko, 2006. "Intraday seasonality in activities of the foreign exchange markets: Evidence from the electronic broking system," Journal of the Japanese and International Economies, Elsevier, vol. 20(4), pages 637-664, December.
    10. Dominguez, Kathryn M.E. & Panthaki, Freyan, 2006. "What defines `news' in foreign exchange markets?," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 168-198, February.
    11. David W. Berger & Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Jonathan H. Wright, 2006. "Order Flow and Exchange Rate Dynamics in Electronic Brokerage System Data," International Finance Discussion Papers 830, Board of Governors of the Federal Reserve System (U.S.).
    12. Kentaro Iwatsubo & Yoshihiro Kitamura, 2009. "Intraday evidence of the informational efficiency of the yen/dollar exchange rate," Applied Financial Economics, Taylor & Francis Journals, vol. 19(14), pages 1103-1115.
    13. Evžen Kocenda & Michala Moravcová, 2018. "Intraday Effect of News on Emerging European Forex Markets: An Event Study Analysis," CESifo Working Paper Series 7239, CESifo.
    14. David W. Berger & Alain P. Chaboud & Erik Hjalmarsson & Edward Howorka, 2006. "What drives volatility persistence in the foreign exchange market?," International Finance Discussion Papers 862, Board of Governors of the Federal Reserve System (U.S.).
    15. Santos, Francisco Luna & Garcia, Márcio Gomes Pinto & Medeiros, Marcelo Cunha, 2016. "The High Frequency Impact of Macroeconomic Announcements in the Brazilian Futures Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    16. Hashimoto, Yuko & Ito, Takatoshi, 2010. "Effects of Japanese macroeconomic statistic announcements on the dollar/yen exchange rate: High-resolution picture," Journal of the Japanese and International Economies, Elsevier, vol. 24(3), pages 334-354, September.
    17. Mahmoodzadeh, Soheil & Gençay, Ramazan, 2017. "Human vs. high-frequency traders, penny jumping, and tick size," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 69-82.
    18. Takatoshi Ito & Yuko Hashimoto, 2008. "Price Impacts of Deals and Predictability of the Exchange Rate Movements," NBER Chapters, in: International Financial Issues in the Pacific Rim: Global Imbalances, Financial Liberalization, and Exchange Rate Policy, pages 177-217, National Bureau of Economic Research, Inc.
    19. Janusz Brzeszczynski & Michael Melvin, 2006. "Explaining trading volume in the euro," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 25-34.
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    21. Enzo Rossi & Vincent Wolff, 2020. "Spillovers to exchange rates from monetary and macroeconomic communications events," Working Papers 2020-18, Swiss National Bank.
    22. Mardi Dungey & Charles Goodhart & Demosthenes Tambakis, 2008. "The US treasury market in August 1998: untangling the effects of Hong Kong and Russia with high-frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 40-52.

  39. Alain P. Chaboud & Jonathan H. Wright, 2003. "Uncovered interest parity: it works, but not for long," International Finance Discussion Papers 752, Board of Governors of the Federal Reserve System (U.S.).

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    1. Virginie Coudert & Valérie Mignon, 2013. "The ‘Forward Premium Puzzle’ and the Sovereign Default risk," Post-Print hal-01385839, HAL.
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    4. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
    5. Ahmed, Jameel & Straetmans, Stefan, 2015. "Predicting exchange rate cycles utilizing risk factors," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 112-130.
    6. Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Raj S. Krishnasami Iyer & David Liu & Jonathan H. Wright, 2004. "The high-frequency effects of U.S. macroeconomic data releases on prices and trading activity in the global interdealer foreign exchange market," International Finance Discussion Papers 823, Board of Governors of the Federal Reserve System (U.S.).
    7. Sager, Michael & Taylor, Mark P., 2014. "Generating currency trading rules from the term structure of forward foreign exchange premia," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 230-250.
    8. Sushil Kumar Rai & Akhilesh Kumar Sharma, 2023. "Forecasting Exchange Rate Volatility In India Under Univariate And Multivariate Analysis," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(1), pages 175-190, March.
    9. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    10. Christophe Chamley, 2006. "Complementarities in information acquisition with short-term trades," Boston University - Department of Economics - Working Papers Series WP2006-042, Boston University - Department of Economics.
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    12. Kerstin Bernoth & Jürgen von Hagen & Casper G. de Vries, 2018. "Estimating a Latent Risk Premium in Exchange Rate Futures," Discussion Papers of DIW Berlin 1733, DIW Berlin, German Institute for Economic Research.
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    45. Kearney, Fearghal & Cummins, Mark & Murphy, Finbarr, 2019. "Using extracted forward rate term structure information to forecast foreign exchange rates," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 1-14.
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    Cited by:

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

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

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    Cited by:

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

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

    Cited by:

    1. Adam J. Check & Anna K Nolan & Tyler C. Schipper, 2019. "Forecasting GDP Growth using Disaggregated GDP Revisions," Economics Bulletin, AccessEcon, vol. 39(4), pages 2580-2588.
    2. Lucio Sarno & Giorgio Valente, 2009. "Exchange Rates and Fundamentals: Footloose or Evolving Relationship?," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 786-830, June.
    3. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    4. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    5. Atsushi Inoue & Barbara Rossi, 2008. "Monitoring and Forecasting Currency Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 523-534, March.
    6. Deven Bathia & Riza Demirer & Rangan Gupta & Kevin Kotze, 2020. "Unemployment Fluctuations and Currency Returns in the United Kingdom: Evidence from Over One and a Half Century of Data," Working Papers 202083, University of Pretoria, Department of Economics.
    7. Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015. "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 116-141.
    8. Barbara Rossi, 2013. "Exchange rate predictability," Economics Working Papers 1369, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Ahmed, Jameel & Straetmans, Stefan, 2015. "Predicting exchange rate cycles utilizing risk factors," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 112-130.
    10. Stelios Bekiros, 2011. "Exchange Rates and Fundamentals: Co-Movement, Long-Run Relationships and Short-run Dynamics," Economics Working Papers ECO2011/21, European University Institute.
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    15. Clements, Michael P. & Galvão, Ana Beatriz, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," The Warwick Economics Research Paper Series (TWERPS) 953, University of Warwick, Department of Economics.
    16. Rossi Junior, Jose Luiz & Felicio, Wilson Rafael de Oliveira, 2014. "Common Factors and the Exchange Rate: Results From the Brazilian Case," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
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    47. Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2004. "Exchange Rates and Fundamentals: Evidence on the Economic Value of Predictability," CEPR Discussion Papers 4365, C.E.P.R. Discussion Papers.
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    91. Inci, Ahmet Can, 2008. "The Japanese yen futures returns, spot returns, and the risk premium," Global Finance Journal, Elsevier, vol. 18(3), pages 385-399.
    92. Michael P. Clements, 2017. "Assessing Macro Uncertainty in Real-Time When Data Are Subject To Revision," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 420-433, July.
    93. Onur Ince, 2013. "Forecasting Exchange Rates Out-of-Sample with Panel Methods and Real-Time Data," Working Papers 13-04, Department of Economics, Appalachian State University.
    94. Felício, Wilson Rafael de Oliveira & Rossi, José Luiz Júnior, 2013. "Common factors and the exchange rate: results from the Brazilian case," Insper Working Papers wpe_318, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    95. Imad A. Moosa, 2015. "The random walk versus unbiased efficiency: can we separate the wheat from the chaff?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 38(2), pages 251-279, October.
    96. Kingston, Geoffrey & Melecky, Martin, 2007. "Currency preferences and the Australian dollar," Journal of International Money and Finance, Elsevier, vol. 26(3), pages 454-467, April.
    97. Ernesto Pienika & Maximiliano Mateauda, 2017. "Análisis del proceso de revisión de las Cuentas Nacionales Trimestrales en Uruguay," Documentos de trabajo 2017008, Banco Central del Uruguay.
    98. Wang, Yudong & Liu, Li & Ma, Feng & Diao, Xundi, 2018. "Momentum of return predictability," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 141-156.
    99. F. Pancotto & G. Pignataro & D. Raggi, 2014. "Higher order beliefs and the dynamics of exchange rates," Working Papers wp957, Dipartimento Scienze Economiche, Universita' di Bologna.
    100. José Luiz Rossi Júnior & Pedro Fontoura & Marina Rossi, 2023. "Are Global Factors Useful for Forecasting the Exchange Rate?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(6), pages 1-14.
    101. Roberto Luis Olinto Ramos & Patrice T. Robitaille & Rebeca de la Rocque Palis, 2004. "News or noise? an analysis of Brazilian GDP announcements," International Finance Discussion Papers 776, Board of Governors of the Federal Reserve System (U.S.).
    102. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank, Research and Statistics Department.
    103. Garratt, Anthony & Lee, Kevin, 2010. "Investing under model uncertainty: Decision based evaluation of exchange rate forecasts in the US, UK and Japan," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 403-422, April.
    104. Erika Corona & Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "The Interplay Between Two Stock Markets and a Related Foreign Exchange Market: A Simulation Approach," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 99-119, September.
    105. Kelly Burns, 2016. "A Reconsideration of the Meese-Rogoff Puzzle: An Alternative Approach to Model Estimation and Forecast Evaluation," Multinational Finance Journal, Multinational Finance Journal, vol. 20(1), pages 41-83, March.
    106. Richard G. Anderson, 2006. "Replicability, real-time data, and the science of economic research: FRED, ALFRED, and VDC," Review, Federal Reserve Bank of St. Louis, vol. 88(Jan), pages 81-93.
    107. Cerra, Valerie & Saxena, Sweta Chaman, 2010. "The monetary model strikes back: Evidence from the world," Journal of International Economics, Elsevier, vol. 81(2), pages 184-196, July.
    108. Leitner, Johannes & Schmidt, Robert & Bofinger, Peter, 2003. "Biases of professional exchange rate forecasts: Psychological explanations and an experimentally based comparison to novices," W.E.P. - Würzburg Economic Papers 39, University of Würzburg, Department of Economics.
    109. Andersen, Torben M. & Beier, Niels C., 2005. "International transmission of transitory and persistent monetary shocks under imperfect information," Journal of International Economics, Elsevier, vol. 66(2), pages 485-507, July.
    110. David O. Cushman, 2007. "A portfolio balance approach to the Canadian–U.S. exchange rate," Review of Financial Economics, John Wiley & Sons, vol. 16(3), pages 305-320.
    111. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
    112. Menzie D. Chinn, 2008. "Non‐linearities, Business Cycles and Exchange Rates," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 37(3), pages 219-239, November.
    113. Ardic, Oya Pinar & Ergin, Onur & Senol, G. Bahar, 2008. "Exchange Rate Forecasting: Evidence from the Emerging Central and Eastern European Economies," MPRA Paper 7505, University Library of Munich, Germany.
    114. Kempa, Bernd & Riedel, Jana, 2013. "Nonlinearities in exchange rate determination in a small open economy: Some evidence for Canada," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 268-278.
    115. Frömmel, Michael & MacDonald, Ronald & Menkhoff, Lukas, 2003. "Do Fundamentals Matter for the D-Mark/Euro-Dollar? A Regime Switching Approach," Hannover Economic Papers (HEP) dp-289, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    116. Nikolsko-Rzhevskyy, Alex & Prodan, Ruxandra, 2012. "Markov switching and exchange rate predictability," International Journal of Forecasting, Elsevier, vol. 28(2), pages 353-365.
    117. Marcel Fratzscher, 2008. "US shocks and global exchange rate configurations [‘Micro effects of macro announcements: Real-time price discovery in foreign exchange’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 23(54), pages 364-409.
    118. Adrian Austin & Swarna Dutt, 2015. "Exchange Rates and Fundamentals: A New Look at the Evidence on Long-Horizon Predictability," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(1), pages 147-159, March.
    119. Andrew C. Chang, 2018. "Nothing is Certain Except Death and Taxes : The Lack of Policy Uncertainty from Expiring \"Temporary\" Taxes," Finance and Economics Discussion Series 2018-041, Board of Governors of the Federal Reserve System (U.S.).
    120. Hina, Hafsa & Qayyum, Abdul, 2015. "Exchange Rate Determination and Out of Sample Forecasting: Cointegration Analysis," MPRA Paper 61997, University Library of Munich, Germany.
    121. Snaith, Stuart & Coakley, Jerry & Kellard, Neil, 2013. "Does the forward premium puzzle disappear over the horizon?," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3681-3693.

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

    Cited by:

    1. Patrick Honohan & Philip R. Lane, 2003. "Divergent inflation rates in EMU [‘European financial integration and equity returns: a theory-based assessment’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(37), pages 357-394.
    2. Bohl, Martin T. & Siklos, Pierre L. & Werner, Thomas, 2007. "Do central banks react to the stock market? The case of the Bundesbank," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 719-733, March.
    3. Paolo Surico, 2003. "How does the ECB target inflation?," Macroeconomics 0305005, University Library of Munich, Germany.
    4. Siklos, Pierre L. & Bohl, Martin T., 2007. "Do actions speak louder than words? Evaluating monetary policy at the Bundesbank," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 368-386, June.
    5. Jérôme Creel & Jacky Fayolle, 2002. "La Banque centrale européenne ou le Seigneur des euros," Post-Print hal-01017819, HAL.
    6. Beck, Günther W. & Beyer, Robert C. M. & Kontny, Markus & Wieland, Volker, 2015. "Monetary Cross-Checking in Practice," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113126, Verein für Socialpolitik / German Economic Association.
    7. Fourcans, Andre & Vranceanu, Radu, 2004. "The ECB interest rate rule under the Duisenberg presidency," European Journal of Political Economy, Elsevier, vol. 20(3), pages 579-595, September.
    8. Gerdesmeier, Dieter & Roffia, Barbara, 2004. "Taylor rules for the euro area: the issue of real-time data," Discussion Paper Series 1: Economic Studies 2004,37, Deutsche Bundesbank.
    9. Huefner, Felix P & Friedrich Heinemann, 2003. "Is the View from the Eurotower Purely European? - National Divergence and ECB Interest Rate Policy," Royal Economic Society Annual Conference 2003 110, Royal Economic Society.
    10. Patrick Lünnemann & Abdelaziz Rouabah, 2003. "Règle de Taylor: estimation et interprétation pour la zone euro et pour le Luxembourg," BCL working papers 9, Central Bank of Luxembourg.
    11. Karsten Ruth, 2007. "Interest rate reaction functions for the euro area," Empirical Economics, Springer, vol. 33(3), pages 541-569, November.
    12. Hartmann, Matthias & Conrad, Christian, 2014. "Cross sectional evidence on the relation between monetary policy, macroeconomic conditions and low-frequency inflation uncertainty," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100477, Verein für Socialpolitik / German Economic Association.
    13. Michael Arghyrou, 2009. "Monetary policy before and after the euro: evidence from Greece," Empirical Economics, Springer, vol. 36(3), pages 621-643, June.
    14. Gerlach, Stefan, 2004. "Interest Rate Setting by the ECB: Words and Deeds," CEPR Discussion Papers 4775, C.E.P.R. Discussion Papers.
    15. Chiara Scotti, 2006. "A bivariate model of Fed and ECB main policy rates," International Finance Discussion Papers 875, Board of Governors of the Federal Reserve System (U.S.).
    16. Jean-Stéphane Mésonnier & Jean-Paul Renne, 2004. "R gle de Taylor et politique mon taire dans la zone euro," Working papers 117, Banque de France.
    17. Arnold, Ivo J.M., 2006. "Optimal regional biases in ECB interest rate setting," European Journal of Political Economy, Elsevier, vol. 22(2), pages 307-321, June.
    18. Gerlach-Kristen, Petra, 2003. "Interest rate reaction functions and the Taylor rule in the euro area," Working Paper Series 258, European Central Bank.
    19. Zeno Rotondi & Giacomo Vaciago, 2007. "Lessons from the ECB Experience: Frankfurt Still Matters!," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 36(2), pages 147-170, July.
    20. Claudia Kurz & Jeong-Ryeol Kurz-Kim, 2011. "Taylor Rule Revisited: from an Econometric Point of View," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 46-51, June.
    21. Fourçans, André & Vranceanu, Radu, 2002. "ECB Monetary Policy Rule: Some Theory and Empirical Evidence," ESSEC Working Papers DR 02008, ESSEC Research Center, ESSEC Business School.
    22. Yemba, Boniface P. & Otunuga, Olusegun Michael & Tang, Biyan & Biswas, Nabaneeta, 2023. "Nowcasting of the Short-run Euro-Dollar Exchange Rate with Economic Fundamentals and Time-varying Parameters," Finance Research Letters, Elsevier, vol. 52(C).
    23. Patrick Honohan & Anthony J. Leddin, 2006. "Ireland in EMU - More Shocks, Less Insulation?," The Economic and Social Review, Economic and Social Studies, vol. 37(2), pages 263-294.
    24. Volker Clausen & Bernd Hayo, 2002. "Makroökonomische Implikationen der Mitgliedschaft Deutschlands in der Europäischen Währungsunion," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 71(3), pages 339-353.
    25. FitzGerald, John & Bergin, Adele & Conefrey, Thomas & Diffney, Sean & Duffy, David & Kearney, Ide & Lyons, Sean & Malaguzzi Valeri, Laura & Mayor, Karen & Richard S. J. Tol, 2008. "Medium-Term Review 2008-2015, No. 11," Forecasting Report, Economic and Social Research Institute (ESRI), number MTR11.
    26. Jan J J Groen & Akito Matsumoto, 2004. "Real exchange rate persistence and systematic monetary policy behaviour," Bank of England working papers 231, Bank of England.
    27. Ansgar Belke & Thorsten Polleit, 2007. "How the ECB and the US Fed set interest rates," Applied Economics, Taylor & Francis Journals, vol. 39(17), pages 2197-2209.
    28. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2005. "How the Bundesbank really conducted monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 277-292, December.
    29. Anton, Roman, 2015. "Monetary Development and Transmission in the Eurosystem," MPRA Paper 67323, University Library of Munich, Germany, revised 08 Oct 2015.
    30. Conrad, Christian & Hartmann, Matthias, 2019. "On the determinants of long-run inflation uncertainty: Evidence from a panel of 17 developed economies," European Journal of Political Economy, Elsevier, vol. 56(C), pages 233-250.
    31. Gerdesmeier, Dieter & Roffia, Barbara, 2004. "The relevance of real-time data in estimating reaction functions for the Euro area," Frankfurt School - Working Paper Series 56, Frankfurt School of Finance and Management.
    32. P. Siklos & M. Bohl, 2006. "Asset Prices as Indicators of Euro Area Monetary Policy: An Empirical Assessment of Their Role in a Taylor Rule," Working Papers eg0053, Wilfrid Laurier University, Department of Economics, revised 2006.
    33. Coenen, Günter, 2003. "Inflation persistence and robust monetary policy design," Working Paper Series 290, European Central Bank.
    34. Stephan Sauer & Jan-Egbert Sturm, 2003. "Using Taylor Rules to Understand ECB Monetary Policy," CESifo Working Paper Series 1110, CESifo.
    35. Dieter Gerdesmeier & Barbara Roffia, 2004. "Empirical Estimates of Reaction Functions for the Euro Area," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(I), pages 37-66, March.
    36. Zeno Rotondi & Giacomo Vaciago, 2003. "The reputation of a newborn central bank," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 56(224), pages 3-22.
    37. Ruth, Karsten, 2004. "Interest rate reaction functions for the euro area Evidence from panel data analysis," Discussion Paper Series 1: Economic Studies 2004,33, Deutsche Bundesbank.
    38. Leon, Costas, 2006. "The Taylor rule: can it be supported by the data?," MPRA Paper 1650, University Library of Munich, Germany.
    39. Rautureau, Nicolas, 2004. "Measuring the long-term perception of monetary policy and the term structure," Bank of Finland Research Discussion Papers 12/2004, Bank of Finland.
    40. Ansgar Belke & Wim Kösters & Martin Leschke & Thorsten Polleit, 2005. "Back to the rules," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 268/2005, Department of Economics, University of Hohenheim, Germany.
    41. Ahmad Hassan Ahmad & Stephen Brown, 2017. "Re-examining the ECB’s two-pillar monetary policy strategy: Are there any deviations during and the pre-financial crisis periods?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 585-607, August.
    42. Eleftheriou, Maria, 2009. "Monetary policy in Germany: A cointegration analysis on the relevance of interest rate rules," Economic Modelling, Elsevier, vol. 26(5), pages 946-960, September.
    43. Siklos, Pierre L. & Bohl, Martin T. & Werner, Thomas, 2003. "Did the Bundesbank React to Stock Price Movements?," Discussion Paper Series 1: Economic Studies 2003,14, Deutsche Bundesbank.
    44. Aleksandra Maslowska, 2009. "Using Taylor Rule to Explain Effects of Institutional Changes in Central Banks," Discussion Papers 46, Aboa Centre for Economics.
    45. Colavecchio, Roberta & Carstensen, Kai, 2004. "Did the Revision of the ECB Monetary Policy Strategy Affect the Reaction Function?," Kiel Working Papers 1221, Kiel Institute for the World Economy (IfW Kiel).
    46. Wilde, Wolfram, 2012. "The influence of Taylor rule deviations on the real exchange rate," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 51-61.
    47. Gerberding, Christina & Worms, Andreas & Seitz, Franz, 2004. "How the Bundesbank really conducted monetary policy: An analysis based on real-time data," Discussion Paper Series 1: Economic Studies 2004,25, Deutsche Bundesbank.

  49. Jonathan H. Wright, 2000. "Log-periodogram estimation of long memory volatility dependencies with conditionally heavy tailed returns," International Finance Discussion Papers 685, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Ngene, Geoffrey & Tah, Kenneth A. & Darrat, Ali F., 2017. "Long memory or structural breaks: Some evidence for African stock markets," Review of Financial Economics, Elsevier, vol. 34(C), pages 61-73.
    2. Christopher J. Neely, 2004. "Forecasting foreign exchange volatility: why is implied volatility biased and inefficient? and does it matter?," Working Papers 2002-017, Federal Reserve Bank of St. Louis.
    3. Geoffrey Ngene & Ann Nduati Mungai & Allen K. Lynch, 2018. "Long-Term Dependency Structure and Structural Breaks: Evidence from the U.S. Sector Returns and Volatility," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-38, June.
    4. Avci-Surucu, Ezgi & Aydogan, A. Kursat & Akgul, Doganbey, 2016. "Bidding structure, market efficiency and persistence in a multi-time tariff setting," Energy Economics, Elsevier, vol. 54(C), pages 77-87.
    5. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    6. Pierre Perron & Zhongjun Qu, 2008. "Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices," Boston University - Department of Economics - Working Papers Series wp2008-004, Boston University - Department of Economics.
    7. David McMillan & Alan Speight, 2006. "Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 959-972.
    8. Clifford M. Hurvich & Eric Moulines & Philippe Soulier, 2005. "Estimating Long Memory in Volatility," Econometrica, Econometric Society, vol. 73(4), pages 1283-1328, July.
    9. Ranjit Kumar Paul & Bishal Gurung & Sandipan Samanta, 2015. "Analyzing the Effect of Dual Long Memory Process in Forecasting Agricultural Prices in Different Markets of India," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(4), pages 235-249.
    10. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    11. Paolo Zaffaroni, 2003. "Gaussian inference on certain long-range dependent volatility models," Temi di discussione (Economic working papers) 472, Bank of Italy, Economic Research and International Relations Area.
    12. Dalla, Violetta, 2015. "Power transformations of absolute returns and long memory estimation," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 1-18.
    13. Serpil TURKYILMAZ & Mesut BALIBEY, 2014. "Long Memory Behavior in the Returns of Pakistan Stock Market: ARFIMA-FIGARCH Models," International Journal of Economics and Financial Issues, Econjournals, vol. 4(2), pages 400-410.
    14. Christopher J. Neely, 2004. "Implied volatility from options on gold futures: do statistical forecasts add value or simply paint the lilly?," Working Papers 2003-018, Federal Reserve Bank of St. Louis.
    15. Tripathy, Naliniprava, 2022. "Long memory and volatility persistence across BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    16. Frederiksen, Per & Nielsen, Frank S. & Nielsen, Morten Ørregaard, 2012. "Local polynomial Whittle estimation of perturbed fractional processes," Journal of Econometrics, Elsevier, vol. 167(2), pages 426-447.
    17. Maheu John, 2005. "Can GARCH Models Capture Long-Range Dependence?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-43, December.
    18. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.

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

    Cited by:

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

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

    Cited by:

    1. Morris A. Davis & Jonas D. M. Fisher & Toni M. Whited, 2014. "Macroeconomic Implications of Agglomeration," Econometrica, Econometric Society, vol. 82(2), pages 731-764, March.
    2. Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
    3. Manuel Arellano & Lars Peter Hansen & Enrique Sentana, 2009. "Underidentification? (Resumen)," Working Papers wp2009_0905, CEMFI.
    4. Matthijs Lof, 2014. "GMM Estimation with Non-causal Instruments under Rational Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 279-286, April.
    5. Sophocles Mavroeidis, 2004. "Weak Identification of Forward‐looking Models in Monetary Economics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 609-635, September.
    6. Fabio Canova & Luca Sala, 2005. "Back to square one: Identification issues in DSGE models," Economics Working Papers 927, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2006.
    7. Dovonon, Prosper & Gonçalves, Sílvia, 2017. "Bootstrapping the GMM overidentification test under first-order underidentification," Journal of Econometrics, Elsevier, vol. 201(1), pages 43-71.
    8. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: an Identification Robust Econometric Analysis," CIRANO Working Papers 2005s-30, CIRANO.
    9. A. Craig Burnside, 2010. "Empirical Asset Pricing and Statistical Power in the Presence of Weak Risk Factors," Working Papers 10-45, Duke University, Department of Economics.
    10. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    11. Gregory Phelan & Alexis Akira Toda, 2015. "On the Robustness of Theoretical Asset Pricing Models," Department of Economics Working Papers 2015-10, Department of Economics, Williams College.
    12. Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
    13. Forneron, Jean-Jacques, 2024. "Detecting identification failure in moment condition models," Journal of Econometrics, Elsevier, vol. 238(1).
    14. Gospodinov, Nikolay & Kan, Raymond & Robotti, Cesare, 2019. "Too good to be true? Fallacies in evaluating risk factor models," Journal of Financial Economics, Elsevier, vol. 132(2), pages 451-471.
    15. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.
    16. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    17. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    18. Sentana, Enrique, 2025. "Reprint of: Finite underidentification," Journal of Econometrics, Elsevier, vol. 248(C).
    19. Anine E. Bolko & Kim Christensen & Mikko S. Pakkanen & Bezirgen Veliyev, 2020. "A GMM approach to estimate the roughness of stochastic volatility," Papers 2010.04610, arXiv.org, revised Apr 2022.
    20. Strebulaev, Ilya A. & Whited, Toni M., 2012. "Dynamic Models and Structural Estimation in Corporate Finance," Foundations and Trends(R) in Finance, now publishers, vol. 6(1–2), pages 1-163, November.
    21. Bravo, Francesco & Crudu, Federico, 2012. "Efficient bootstrap with weakly dependent processes," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3444-3458.
    22. Manuel Arellano & Lars P. Hansen & Enrique Sentana, 2000. "Underidentification?," Econometric Society World Congress 2000 Contributed Papers 1824, Econometric Society.
    23. Rachida Ouysse, 2014. "On the performance of block-bootstrap continuously updated GMM for a class of non-linear conditional moment models," Computational Statistics, Springer, vol. 29(1), pages 233-261, February.
    24. Craig Burnside, 2016. "Identification and Inference in Linear Stochastic Discount Factor Models with Excess Returns," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 295-330.
    25. Prosper Dovonon & Alastair R. Hall, 2017. "The Asymptotic Properties of GMM and Indirect Inference Under Second-Order Identification," Economics Discussion Paper Series 1705, Economics, The University of Manchester.
    26. Dovonon, Prosper & Hall, Alastair R., 2018. "The asymptotic properties of GMM and indirect inference under second-order identification," Journal of Econometrics, Elsevier, vol. 205(1), pages 76-111.
    27. Sentana, Enrique, 2024. "Finite underidentification," Journal of Econometrics, Elsevier, vol. 240(1).
    28. Man Fai Ip & Kin Wai Chan, 2024. "Inference in Coarsened Time Series via Generalized Method of Moments," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(5), pages 823-846, September.
    29. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.
    30. Don S. Poskitt, 2020. "On GMM Inference: Partial Identification, Identification Strength, and Non-Standard," Monash Econometrics and Business Statistics Working Papers 40/20, Monash University, Department of Econometrics and Business Statistics.
    31. Gospodinov, Nikolay & Robotti, Cesare, 2021. "Common pricing across asset classes: Empirical evidence revisited," Journal of Financial Economics, Elsevier, vol. 140(1), pages 292-324.
    32. Yuya Sasaki & Yulong Wang, 2020. "Testing Finite Moment Conditions for the Consistency and the Root-N Asymptotic Normality of the GMM and M Estimators," Papers 2006.02541, arXiv.org, revised Sep 2020.
    33. Amit Gandhi & Jean-François Houde, 2019. "Measuring Substitution Patterns in Differentiated-Products Industries," NBER Working Papers 26375, National Bureau of Economic Research, Inc.
    34. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    35. Schäfer Benjamin, 2018. "The Impact of the Crisis and Unconventional Monetary Policy on European Inflation Dynamics: Evidence from a Three-Period Structural Model and Six Countries," Review of Economics, De Gruyter, vol. 69(2), pages 87-110, August.
    36. Djankov, Simeon & Montalvo, Jose G. & Reynal-Querol, Marta, 2009. "Aid with multiple personalities," Journal of Comparative Economics, Elsevier, vol. 37(2), pages 217-229, June.
    37. Dimitris Hatzinikolaou & Dimitrios Hatzinikolaou, 2025. "Modeling aggregate investment under financial constraints," Empirical Economics, Springer, vol. 68(2), pages 759-781, February.

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

    Cited by:

    1. Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
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    3. Franses, Philip Hans, 2013. "Data revisions and periodic properties of macroeconomic data," Economics Letters, Elsevier, vol. 120(2), pages 139-141.
    4. Jan Jacobs & Jan-Egbert Sturm, 2009. "The information content of KOF indicators on Swiss current account data revisions," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2008(2), pages 161-181.
    5. Dean Croushore, 2009. "Commentary on Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 371-382.
    6. Francisco de Castro & Javier J. Pérez & Marta Rodríguez Vives, 2011. "Fiscal data revisions in Europe," Working Papers 1106, Banco de España.
    7. Pascal Bührig & Klaus Wohlrabe, 2015. "Revisionen der deutschen Industrieproduktion und die ifo Indikatoren," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(21), pages 27-31, November.
    8. Richard Harrison & George Kapetanios, 2004. "Forecasting with Measurement Errors in Dynamic Models," Working Papers 521, Queen Mary University of London, School of Economics and Finance.
    9. Bańkowski, Krzysztof & Faria, Thomas & Schall, Robert, 2022. "How well-behaved are revisions to quarterly fiscal data in the euro area?," Working Paper Series 2676, European Central Bank.
    10. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    11. 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.
    12. Jan Jacobs & Jan-Egbert Sturm, 2007. "A real-time analysis of the Swiss trade account," Money Macro and Finance (MMF) Research Group Conference 2006 167, Money Macro and Finance Research Group.
    13. Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
    14. Jacoby, Gady & Lee, Gemma & Paseka, Alexander & Wang, Yan, 2019. "Asset pricing with an imprecise information set," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 82-93.
    15. Sentance, Andrew & Taylor, Mark P. & Wieladek, Tomasz, 2012. "How the UK economy weathered the financial storm," Journal of International Money and Finance, Elsevier, vol. 31(1), pages 102-123.
    16. Clements, Michael P & Harvey, David I, 2006. "Forecast Encompassing Tests and Probability Forecasts," The Warwick Economics Research Paper Series (TWERPS) 774, University of Warwick, Department of Economics.
    17. Evans, Martin D.D., 2005. "Where Are We Now? Real-Time Estimates of the Macro Economy," CEPR Discussion Papers 5270, C.E.P.R. Discussion Papers.
    18. Jacobs, Jan P.A.M. & van Norden, Simon, 2011. "Modeling data revisions: Measurement error and dynamics of "true" values," Journal of Econometrics, Elsevier, vol. 161(2), pages 101-109, April.
    19. Norman R. Swanson & Valentina Corradi & Andres Fernandez, 2011. "Information in the Revision Process of Real-Time Datasets," Departmental Working Papers 201107, Rutgers University, Department of Economics.
    20. 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.
    21. Ignacio Martínez, 2021. "Deepening GDP revision analysis: GDP bias breakdown and compositional change," Economic Statistics Series 136, Central Bank of Chile.
    22. Anthony Garratt & Shaun P Vahey, 2006. "UK Real-Time Macro Data Characteristics," Economic Journal, Royal Economic Society, vol. 116(509), pages 119-135, February.
    23. Dean Croushore & Katherine Marsten, 2016. "Do GDP Forecasts Respond Efficiently to Changes in Interest Rates?," Working Papers 16-17, Federal Reserve Bank of Philadelphia.
    24. Sandra Bilek-Steindl & Petra Sauer, 2009. "An Evaluation of Revisions and Quality Aspects of Austrian Quarterly GDP Publications," WIFO Studies, WIFO, number 37201, July.
    25. Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
    26. Constantin Anghelache & Aurelian DIACONU & Andreea Ioana MARINESCU & Marius POPOVICI, 2016. "Comparative study of the evolution of the Gross Domestic Product indicator," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(12), pages 165-172, December.
    27. Philip Hans Franses, 2009. "Why is GDP typically revised upwards?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(2), pages 125-130, May.
    28. Scotti, Chiara, 2016. "Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 1-19.
    29. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.
    30. Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
    31. Thomas A. Knetsch & Hans‐Eggert Reimers, 2009. "Dealing with Benchmark Revisions in Real‐Time Data: The Case of German Production and Orders Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 209-235, April.
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    33. Christiane Baumeister & Lutz Kilian, 2011. "Real-Time Forecasts of the Real Price of Oil," Staff Working Papers 11-16, Bank of Canada.
    34. Timo Wollmershäuser, 2016. "Vorhersage der Revisionen der Vorratsveränderungen mit Hilfe der ifo Lagerbeurteilung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(07), pages 26-32, April.
    35. Evan F. Koenig & Sheila Dolmas & Jeremy Piger, 2003. "The Use and Abuse of Real-Time Data in Economic Forecasting," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 618-628, August.
    36. Clements, Michael P. & Galvao, Ana Beatriz, 2006. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US output growth and inflation," Economic Research Papers 269743, University of Warwick - Department of Economics.
    37. Eva A. Arnold, 2013. "The Role of Data Revisions and Disagreement in Professional Forecasts," Macroeconomics and Finance Series 201303, University of Hamburg, Department of Socioeconomics.
    38. Paolo Pasquariello & Clara Vega, 2007. "Informed and Strategic Order Flow in the Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1975-2019, November.
    39. Cath Sleeman, 2006. "Analysis of revisions to quarterly GDP - a real-time database," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 69, pages 1-44., March.
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    41. Clark, Todd E. & McCracken, Michael W., 2009. "Tests of Equal Predictive Ability With Real-Time Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 441-454.
    42. Dean Croushore, 2006. "An evaluation of inflation forecasts from surveys using real-time data," Working Papers 06-19, Federal Reserve Bank of Philadelphia.
    43. Nicholas Taylor, 2014. "Economic forecast quality: information timeliness and data vintage effects," Empirical Economics, Springer, vol. 46(1), pages 145-174, February.
    44. Michael Clements, 2017. "Do forecasters target first or later releases of national accounts data?," ICMA Centre Discussion Papers in Finance icma-dp2017-03, Henley Business School, University of Reading.
    45. Müller, Gernot & Enders, Zeno & Kleemann, Michael, 2016. "Growth expectations, undue optimism, and short-run fluctuations," CEPR Discussion Papers 11521, C.E.P.R. Discussion Papers.
    46. Pascal Bührig & Klaus Wohlrabe, 2016. "Forecasting revisions of German industrial production," Applied Economics Letters, Taylor & Francis Journals, vol. 23(15), pages 1062-1064, October.
    47. Verónica Cañal-Fernández, 2012. "Accuracy and reliability of Spanish regional accounts (CRE-95)," Empirical Economics, Springer, vol. 43(3), pages 1299-1320, December.
    48. Casares, Miguel & Vázquez, Jesús, 2016. "Data Revisions In The Estimation Of Dsge Models," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1683-1716, October.
    49. van Dijk, D.J.C. & Franses, Ph.H.B.F. & Ravazzolo, F., 2007. "Evaluating real-time forecasts in real-time," Econometric Institute Research Papers EI 2007-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    50. Jeffrey A. Frankel & Ayako Saiki, 2017. "Does It Matter If Statistical Agencies Frame the Month’s CPI Reporton a 1-Month or 12-month Basis?," NBER Working Papers 23754, National Bureau of Economic Research, Inc.
    51. Garratt, Anthony & Koop, Gary & Mise, Emi & Vahey, Shaun P., 2009. "Real-Time Prediction With U.K. Monetary Aggregates in the Presence of Model Uncertainty," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 480-491.
    52. Michael Pedersen, 2010. "Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data," Working Papers Central Bank of Chile 595, Central Bank of Chile.
    53. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    54. Roland Döhrn, 2023. "Are German National Accounts informationally efficient?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 23-42, March.
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    56. Dean Croushore, 2011. "Frontiers of Real-Time Data Analysis," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
    57. Pérez-Quirós, Gabriel & Camacho, Máximo, 2009. "Introducing the Euro-STING: Short-Term Indicator of Euro Area Growth," CEPR Discussion Papers 7343, C.E.P.R. Discussion Papers.
    58. Gavin, William T. & Mandal, Rachel J., 2003. "Evaluating FOMC forecasts," International Journal of Forecasting, Elsevier, vol. 19(4), pages 655-667.
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    60. Chiu, Adrian & Wieladek, Tomasz, 2015. "Is the ‘Great Recession’ really so different from the past?," Discussion Papers 40, Monetary Policy Committee Unit, Bank of England.
    61. Jacobs, Jan P.A.M. & van Norden, Simon, 2016. "Why are initial estimates of productivity growth so unreliable?," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 200-213.
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    63. Umino, Shingo, 2014. "Real-time estimation of the equilibrium real interest rate: Evidence from Japan," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 17-32.
    64. Baetje, Fabian & Friedrici, Karola, 2016. "Does cross-sectional forecast dispersion proxy for macroeconomic uncertainty? New empirical evidence," Economics Letters, Elsevier, vol. 143(C), pages 38-43.
    65. Pasquariello, Paolo & Vega, Clara, 2009. "The on-the-run liquidity phenomenon," Journal of Financial Economics, Elsevier, vol. 92(1), pages 1-24, April.
    66. Christoph Görtz & Mallory Yeromonahos, 2019. "Asymmetries in Risk Premia, Macroeconomic Uncertainty and Business Cycles," CESifo Working Paper Series 7959, CESifo.
    67. Dennis J. Fixler & Jeremy J. Nalewaik, 2007. "News, noise, and estimates of the \"true\" unobserved state of the economy," Finance and Economics Discussion Series 2007-34, Board of Governors of the Federal Reserve System (U.S.).
    68. Bermingham, Colin, 2006. "A Look at Data Revisions in the Quarterly National Accounts," Quarterly Bulletin Articles, Central Bank of Ireland, pages 93-105, July.
    69. Richard G. Anderson & Charles S. Gascon, 2009. "Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 349-370.
    70. Döpke, Jörg, 2004. "Real-time data and business cycle analysis in Germany," Discussion Paper Series 1: Economic Studies 2004,11, Deutsche Bundesbank.
    71. Flodberg, Caroline & Österholm, Pär, 2015. "A Statistical Analysis of Revisions of Swedish National Accounts Data," Working Papers 136, National Institute of Economic Research.
    72. Tom Bernhardsen & ØYvind Eitrheim, 2005. "Real-time data for Norway: Output gap revisions and challenges for monetary policy," Computing in Economics and Finance 2005 274, Society for Computational Economics.
    73. Clements, Michael P., 2006. "Internal consistency of survey respondentsíforecasts: Evidence based on the Survey of Professional Forecasters," Economic Research Papers 269742, University of Warwick - Department of Economics.
    74. Clements, Michael P., 2008. "Rounding of probability forecasts: The SPF forecast probabilities of negative output growth," Economic Research Papers 269880, University of Warwick - Department of Economics.
    75. Robinson Durán & Evelyn Garrido & Carolina Godoy & Juan de Dios Tena, 2012. "Predicción de la inflación en México con modelos desagregados por componente," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 27(1), pages 133-167.
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    78. Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.
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    81. komaki, Yasuyuki, 2023. "Why is the forecast error of quarterly GDP in Japan so large? – From an international comparison of quarterly GDP forecast situation," Japan and the World Economy, Elsevier, vol. 66(C).
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    83. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
    84. Timmermann, Allan & Patton, Andrew, 2007. "Learning in Real Time: Theory and Empirical Evidence from the Term Structure of Survey Forecasts," CEPR Discussion Papers 6526, C.E.P.R. Discussion Papers.
    85. Kishor, N. Kundan, 2011. "Data revisions in India: Implications for monetary policy," Journal of Asian Economics, Elsevier, vol. 22(2), pages 164-173, April.
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    88. Gilbert, Thomas, 2011. "Information aggregation around macroeconomic announcements: Revisions matter," Journal of Financial Economics, Elsevier, vol. 101(1), pages 114-131, July.
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    90. Yunus Aksoy & Kurmas Akdogan, 2006. "Exchange Rates and Fundamentals: Is there a Role for Nonlinearities in Real Time?," Computing in Economics and Finance 2006 12, Society for Computational Economics.
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    93. Sarmidi, Tamat, 2008. "Exchange Rates Predictability in Developing Countries," MPRA Paper 16580, University Library of Munich, Germany.
    94. Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
    95. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
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    97. 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.
    98. Pierre Siklos, 2006. "What Can We Learn from Comprehensive Data Revisions for Forecasting Inflation: Some US Evidence," Working Papers eg0049, Wilfrid Laurier University, Department of Economics, revised 2006.
    99. Heinisch Katja & Scheufele Rolf, 2019. "Should Forecasters Use Real-Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence," German Economic Review, De Gruyter, vol. 20(4), pages 170-200, December.
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    101. William T. Gavin, 2003. "FOMC forecasts: is all the information in the central tendency?," Working Papers 2003-002, Federal Reserve Bank of St. Louis.
    102. Nalewaik, Jeremy J., 2011. "Incorporating vintage differences and forecasts into Markov switching models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 281-307, April.
    103. Kishor, N. Kundan, 2009. "Data Revisions in India and its Implications for Monetary Policy," MPRA Paper 16099, University Library of Munich, Germany.
    104. Valentina Raponi & Cecilia Frale, 2014. "Revisions in official data and forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 451-472, August.
    105. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do forecasters inform or reassure?," KOF Working papers 09-215, KOF Swiss Economic Institute, ETH Zurich.
    106. Reichlin, Lucrezia & Sala, Luca & Giannone, Domenico, 2002. "Tracking Greenspan: Systematic and Unsystematic Monetary Policy Revisited," CEPR Discussion Papers 3550, C.E.P.R. Discussion Papers.
    107. Juan de Dios Tena & Jorge Dresdner & Iván Araya, 2009. "A Multimarket Approach for Estimating a New Keynesian Phillips Curve," Working Papers 02-2009, Departamento de Economía, Universidad de Concepción.
    108. Nalewaik, Jeremy J., 2011. "Incorporating vintage differences and forecasts into Markov switching models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 281-307.
    109. Asimakopoulos, Stylianos & Lalik, Magdalena & Paredes, Joan & Salvado García, José, 2023. "GDP revisions are not cool: the impact of statistical agencies’ trade-off," Working Paper Series 2857, European Central Bank.
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    112. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank, Research and Statistics Department.
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    114. S. Boragan Aruoba, 2004. "Data Uncertainty in General Equilibrium," Computing in Economics and Finance 2004 131, Society for Computational Economics.
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    117. Pino, Gabriel & Tena Horrillo, Juan de Dios & Espasa, Antoni, 2013. "Forecasting disaggregates by sectors and regions : the case of inflation in the euro area and Spain," DES - Working Papers. Statistics and Econometrics. WS ws130807, Universidad Carlos III de Madrid. Departamento de Estadística.
    118. Amberger, Korie, 2013. "The Role of Capital on Noise Shocks," MPRA Paper 46483, University Library of Munich, Germany.
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    124. Troy Matheson & James Mitchell & Brian Silverstone, 2007. "Nowcasting and predicting data revisions in real time using qualitative panel survey data," Reserve Bank of New Zealand Discussion Paper Series DP2007/02, Reserve Bank of New Zealand.
    125. Heinisch, Katja, 2016. "A real-time analysis on the importance of hard and soft data for nowcasting German GDP," VfS Annual Conference 2016 (Augsburg): Demographic Change 145864, Verein für Socialpolitik / German Economic Association.
    126. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
    127. Döhrn, Roland, 2018. "Revisionen der Volkswirtschaftlichen Gesamtrechnungen: Revisionspraxis des Statistischen Bundesamtes und ihre Auswirkungen auf Prognosen," RWI Materialien 127, RWI - Leibniz-Institut für Wirtschaftsforschung.
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    130. Funashima, Yoshito & Iizuka, Nobuo & Ohtsuka, Yoshihiro, 2020. "GDP announcements and stock prices," Journal of Economics and Business, Elsevier, vol. 108(C).
    131. J. Steven Landefeld & Eugene P. Seskin & Barbara M. Fraumeni, 2008. "Taking the Pulse of the Economy: Measuring GDP," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 193-216, Spring.
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  53. Jonathan H. Wright, 1999. "Long memory in emerging market stock returns," International Finance Discussion Papers 650, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

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

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

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    1. Avdoulas, Christos & Bekiros, Stelios & Boubaker, Sabri, 2016. "Detecting nonlinear dependencies in eurozone peripheral equity markets: A multistep filtering approach," Economic Modelling, Elsevier, vol. 58(C), pages 580-587.
    2. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    3. Timo Terasvirta & Zhenfang Zhao, 2011. "Stylized facts of return series, robust estimates and three popular models of volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 67-94.
    4. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    5. Shusheng Ding & Tianxiang Cui & Yongmin Zhang & Jiawei Li, 2021. "Liquidity effects on oil volatility forecasting: From fintech perspective," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
    6. Luisa Bisaglia & Silvano Bordignon & Francesco Lisi, 2003. "k -Factor GARMA models for intraday volatility forecasting," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 251-254.
    7. Sarwar, Suleman & Tiwari, Aviral Kumar & Tingqiu, Cao, 2020. "Analyzing volatility spillovers between oil market and Asian stock markets," Resources Policy, Elsevier, vol. 66(C).
    8. Andersen, Torben G. & Bollerslev, Tim & Francis X. Diebold,, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," CFS Working Paper Series 2003/35, Center for Financial Studies (CFS).
    9. Ardakani, Omid M. & Dalko, Viktoria & Shim, Hyeeun, 2025. "Information loss from perception alignment," International Review of Economics & Finance, Elsevier, vol. 97(C).
    10. Hansen, Peter R. & Lunde, Asger, 2014. "Estimating The Persistence And The Autocorrelation Function Of A Time Series That Is Measured With Error," Econometric Theory, Cambridge University Press, vol. 30(1), pages 60-93, February.
    11. Axel Grossmann & Emiliano Giudici & Marc Simpson, 2014. "Euro conversion and return dynamics of European financial markets: a frequency domain approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(1), pages 1-26, January.
    12. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
    13. Thomas C. Chiang & Jiandong Li, 2012. "Stock Returns and Risk: Evidence from Quantile," JRFM, MDPI, vol. 5(1), pages 1-39, December.
    14. Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Post-Print hal-04218488, HAL.
    15. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    16. Jouini, Jamel, 2015. "New empirical evidence from assessing financial market integration, with application to Saudi Arabia," Economic Modelling, Elsevier, vol. 49(C), pages 198-211.
    17. 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.
    18. Thomakos, Dimitrios D. & Wang, Tao, 2003. "Realized volatility in the futures markets," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 321-353, May.
    19. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    20. Stavros Degiannakis, 2008. "ARFIMAX and ARFIMAX-TARCH realized volatility modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(10), pages 1169-1180.
    21. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2016. "Intraday return predictability, portfolio maximisation, and hedging," Emerging Markets Review, Elsevier, vol. 28(C), pages 105-116.
    22. Adam Aleksander Majewski & Giacomo Bormetti & Fulvio Corsi, 2014. "Smile from the Past: A general option pricing framework with multiple volatility and leverage components," Papers 1404.3555, arXiv.org.
    23. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    24. Andrew J. Patton & Kevin Sheppard, 2008. "Evaluating Volatility and Correlation Forecasts," OFRC Working Papers Series 2008fe22, Oxford Financial Research Centre.
    25. Jiang, Yonghong & Fu, Yuyuan & Ruan, Weihua, 2019. "Risk spillovers and portfolio management between precious metal and BRICS stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    26. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    27. Mofleh Alshogeathri & Jamel Jouini, 2017. "Linkages Between Equity and Global Food Markets: New Evidence from Including Structural Changes," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(3), pages 166-198, June.
    28. Alfeus, Mesias & Nikitopoulos, Christina Sklibosios, 2022. "Forecasting volatility in commodity markets with long-memory models," Journal of Commodity Markets, Elsevier, vol. 28(C).
    29. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," NBER Working Papers 11188, National Bureau of Economic Research, Inc.
    30. Patton, Andrew J., 2011. "Volatility forecast comparison using imperfect volatility proxies," Journal of Econometrics, Elsevier, vol. 160(1), pages 246-256, January.
    31. Kuo, Chen-Yin, 2016. "Does the vector error correction model perform better than others in forecasting stock price? An application of residual income valuation theory," Economic Modelling, Elsevier, vol. 52(PB), pages 772-789.
    32. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2005. "Roughing it Up: Including Jump Components in the Measurement, Modeling and Forecasting of Return Volatility," NBER Working Papers 11775, National Bureau of Economic Research, Inc.
    33. Radovan Parrák, 2013. "The Economic Valuation of Variance Forecasts: An Artificial Option Market Approach," Working Papers IES 2013/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2013.
    34. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.
    35. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas, 2015. "Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 560-573, November.
    36. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    37. Galbraith, John W. & KI[#x1e63]Inbay, Turgut, 2005. "Content horizons for conditional variance forecasts," International Journal of Forecasting, Elsevier, vol. 21(2), pages 249-260.
    38. Majewski, A. A. & Bormetti, G. & Corsi, F., 2013. "Smile from the Past: A general option pricing framework with multiple volatility and leverage components," Working Papers 13/11, Department of Economics, City St George's, University of London.
    39. Warusawitharana, Missaka, 2018. "Time-varying volatility and the power law distribution of stock returns," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 123-141.
    40. François-Éric Racicot & Raymond Théoret & Alain Coën, 2008. "Forecasting Irregularly Spaced UHF Financial Data: Realized Volatility vs UHF-GARCH Models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 112-124, February.
    41. Luis Alberiko Gil-Alaña & Olanrewaju L. Shittu & OlaOluwa S. Yaya, 2013. "On the persistence and volatility in European, American and Asian stocks bull and bear markets," NCID Working Papers 12/2013, Navarra Center for International Development, University of Navarra.
    42. Chundakkadan, Radeef & Sasidharan, Subash, 2019. "Liquidity pull-back and predictability of government security yield volatility," Economic Modelling, Elsevier, vol. 77(C), pages 124-132.
    43. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    44. Liu, Min, 2022. "The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 288-309.
    45. Xu, Danyang & Hu, Yang & Corbet, Shaen & Hou, Yang (Greg) & Oxley, Les, 2024. "Green bonds and traditional and emerging investments: Understanding connectedness during crises," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    46. Chen, Chun-Hung & Yu, Wei-Choun & Zivot, Eric, 2012. "Predicting stock volatility using after-hours information: Evidence from the NASDAQ actively traded stocks," International Journal of Forecasting, Elsevier, vol. 28(2), pages 366-383.
    47. Majewski, Adam A. & Bormetti, Giacomo & Corsi, Fulvio, 2015. "Smile from the past: A general option pricing framework with multiple volatility and leverage components," Journal of Econometrics, Elsevier, vol. 187(2), pages 521-531.
    48. Carmen Broto & Esther Ruiz, 2004. "Estimation methods for stochastic volatility models: a survey," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
    49. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    50. Grossmann, Axel & Love, Inessa & Orlov, Alexei G., 2014. "The dynamics of exchange rate volatility: A panel VAR approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 1-27.
    51. Mostafa R. Sarkandiz, 2023. "Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?," Papers 2302.08897, arXiv.org.
    52. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, December.
    53. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    54. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
    55. Wang, Lu & Zhao, Chenchen & Liang, Chao & Jiu, Song, 2022. "Predicting the volatility of China's new energy stock market: Deep insight from the realized EGARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 48(C).
    56. Liu, Ming-Hua & Margaritis, Dimitris & Zhang, Yang, 2016. "Competition and petrol pricing in the smartphone era: Evidence from Singapore," Economic Modelling, Elsevier, vol. 53(C), pages 144-155.
    57. Chun-Hung Chen & Wei-Choun Yu & Eric Zivot, 2009. "Predicting Stock Volatility Using After-Hours Information," Working Papers UWEC-2009-01, University of Washington, Department of Economics.

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

    Cited by:

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

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

    Cited by:

    1. Alastair Hall & Fernanda P. M. Peixe, 2000. "A Consistent Method for the Selection of Relevant Instruments," Econometric Society World Congress 2000 Contributed Papers 0790, Econometric Society.
    2. Biorn, Erik & Klette, Tor Jakob, 1998. "Panel data with errors-in-variables: essential and redundant orthogonality conditions in GMM-estimation," Economics Letters, Elsevier, vol. 59(3), pages 275-282, June.

Articles

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

    Cited by:

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

  4. Jonathan H. Wright, 2022. "The Extent and Consequences of Federal Reserve Balance Sheet Shrinkage," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 53(2 (Fall)), pages 259-275.

    Cited by:

    1. S. Borağan Aruoba & Thomas Drechsel, 2024. "The Long and Variable Lags of Monetary Policy: Evidence from Disaggregated Price Indices," NBER Chapters, in: Inflation in the COVID Era and Beyond, National Bureau of Economic Research, Inc.
    2. YiLi Chien & Ashley Stewart, 2025. "Monetary Policy Implementation with Ample Reserves," Review, Federal Reserve Bank of St. Louis, vol. 107(8), pages 1-11, May.

  5. Samuel G Hanson & David O Lucca & Jonathan H Wright, 2021. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1719-1781.
    See citations under working paper version above.
  6. Janice C. Eberly & James H. Stock & Jonathan H. Wright, 2020. "The Federal Reserve's Current Framework for Monetary Policy: A Review and Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 16(1), pages 5-71, February.
    See citations under working paper version above.
  7. Refet S. Gürkaynak & Burçin Kisacikoğlu & Jonathan H. Wright, 2020. "Missing Events in Event Studies: Identifying the Effects of Partially Measured News Surprises," American Economic Review, American Economic Association, vol. 110(12), pages 3871-3912, December.
    See citations under working paper version above.
  8. Wright, Jonathan H., 2019. "Comment on “Measuring euro area monetary policy” by Carlo Altavilla, Luca Brugnolini, Refet Gürkaynak, Giuseppe Ragusa and Roberto Motto," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 180-184.

    Cited by:

    1. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    2. Goodhead, Robert, 2024. "The economic impact of yield curve compression: Evidence from euro area forward guidance and unconventional monetary policy," European Economic Review, Elsevier, vol. 164(C).
    3. Fanelli, Luca & Marsi, Antonio, 2022. "Sovereign spreads and unconventional monetary policy in the Euro area: A tale of three shocks," European Economic Review, Elsevier, vol. 150(C).
    4. Farinha, Jorge Bento & Vidrago, José, 2021. "The impact of the ECB's asset purchase programme on core and peripheral sovereign yields and its transmission channels," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    5. Andrejs Zlobins, 2021. "On the Time-varying Effects of the ECB's Asset Purchases," Working Papers 2021/02, Latvijas Banka.
    6. Luca Fanelli & Antonio Marsi, 2021. "Unconventional Monetary Policy in the Euro Area: A Tale of Three Shocks," Working Papers wp1164, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Andrejs Zlobins, 2024. "On the time-varying effects of the ECB’s asset purchases," Empirical Economics, Springer, vol. 66(6), pages 2593-2623, June.
    8. Valentin Jouvanceau & Ieva Mikaliunaite, 2020. "Euro Area Monetary Communications: Excess Sensitivity and Perception Shocks," Bank of Lithuania Working Paper Series 79, Bank of Lithuania.
    9. Farinha, Jorge Bento & Vidrago, José, 2021. "The impact of the ECB’s asset purchase programme on euro area equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 270-279.
    10. Blotevogel, Robert & Hudecz, Gergely & Vangelista, Elisabetta, 2024. "Asset purchases and sovereign bond spreads in the euro area during the pandemic," Journal of International Money and Finance, Elsevier, vol. 140(C).
    11. Martínez-Hernández, Catalina, 2020. "Disentangling the effects of multidimensional monetary policy on inflation and inflation expectations in the euro area," Discussion Papers 2020/18, Free University Berlin, School of Business & Economics.

  9. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.

    Cited by:

    1. Pao‐Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2021. "Do Fed Forecast Errors Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 686-712, June.
    2. Lee Mason & Amy Berrington de Gonzalez & Montserrat Garcia-Closas & Stephen J Chanock & Blànaid Hicks & Jonas S Almeida, 2023. "Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualization," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-12, April.
    3. Knotek, Edward S. & Zaman, Saeed, 2023. "Real-time density nowcasts of US inflation: A model combination approach," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
    4. 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.
    5. Monique Reid & Pierre Siklos, 2021. "The Bureau for Economic Research's inflation expectations surveys: Know your data," Working Papers 10/2021, Stellenbosch University, Department of Economics.
    6. Thu, Le Ha & Leon-Gonzalez, Roberto, 2021. "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, vol. 77(C).
    7. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).

  10. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2018. "Unconventional Monetary Policy and International Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1827-1850, December.
    See citations under working paper version above.
  11. Jon Faust & Jonathan H. Wright, 2018. "Risk Premia in the 8:30 Economy," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-19, September.

    Cited by:

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

  12. Keisuke Hirano & Jonathan H. Wright, 2017. "Forecasting With Model Uncertainty: Representations and Risk Reduction," Econometrica, Econometric Society, vol. 85, pages 617-643, March.

    Cited by:

    1. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
    2. Siemsen, Thomas & Vilsmeier, Johannes, 2017. "A stress test framework for the German residential mortgage market: Methodology and application," Discussion Papers 37/2017, Deutsche Bundesbank.
    3. Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 695-746, August.
    4. Keisuke Hirano & Jack R. Porter, 2023. "Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits," Papers 2302.03117, arXiv.org, revised Feb 2025.
    5. Hirano, Keisuke & Porter, Jack R., 2020. "Asymptotic analysis of statistical decision rules in econometrics," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 283-354, Elsevier.
    6. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    7. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    8. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    9. Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
    10. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    11. Boot, Tom & Nibbering, Didier, 2019. "Forecasting using random subspace methods," Journal of Econometrics, Elsevier, vol. 209(2), pages 391-406.
    12. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    13. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    14. Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
    15. Benjamin Garcia & Arsenios Skaperdas, 2017. "Inferring the Shadow Rate from Real Activity," Finance and Economics Discussion Series 2017-106, Board of Governors of the Federal Reserve System (U.S.).

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

    Cited by:

    1. Semyon Malamud & Andreas Schrimpf, 2016. "Intermediation Markups and Monetary Policy Passthrough," Swiss Finance Institute Research Paper Series 16-75, Swiss Finance Institute.
    2. Maxim Ulrich & Simon Walther, 2020. "Option-implied information: What’s the vol surface got to do with it?," Review of Derivatives Research, Springer, vol. 23(3), pages 323-355, October.

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

    Cited by:

    1. Larry Hughes & Moniek Jong & Zach Thorne, 2021. "(De)coupling and (De)carbonizing in the economies and energy systems of the G20," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5614-5639, April.
    2. Schreiber, Sven, 2017. "Weather adjustment of economic output," Discussion Papers 2017/5, Free University Berlin, School of Business & Economics.
    3. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects Of Disruptions In Global Food Commodity Markets: Evidence For The United States," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/924, Ghent University, Faculty of Economics and Business Administration.
    4. Avi Goldfarb & Mo Xiao, 2024. "Transitory shocks, limited attention, and a firm’s decision to exit," Quantitative Marketing and Economics (QME), Springer, vol. 22(3), pages 223-255, September.
    5. Schreiber, Sven, 2018. "Weather-induced Short-term Fluctuations of Economic Output," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181622, Verein für Socialpolitik / German Economic Association.
    6. Charles Fries & François Gourio, 2020. "Adaptation and the Cost of Rising Temperature for the U.S. economy," Working Paper Series WP-2020-08, Federal Reserve Bank of Chicago.
    7. Boriss Siliverstovs & Anna Sandqvist, 2018. "Is it good to be bad or bad to be good?: Assessing the aggregate impact of abnormal weather on consumer spending," KOF Working papers 18-443, KOF Swiss Economic Institute, ETH Zurich.
    8. Bo Liu & Barry T. Hirsch, 2021. "Winter weather and work hours: Heterogeneous effects and regional adaptation," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 867-881, October.
    9. Emanuele Bacchiocchi & Andrea Bastianin & Graziano Moramarco, 2024. "Macroeconomic Spillovers of Weather Shocks across U.S. States," Working Papers 2024.09, Fondazione Eni Enrico Mattei.
    10. Augustus J. Panton, 2020. "Climate Hysteresis and Monetary Policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Sultana Zeenat Fouzia & Jianhong Mu & Yong Chen, 2020. "Local labour market impacts of climate-related disasters: a demand-and-supply analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 15(3), pages 336-352, July.
    12. 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.
    13. Pankaj C. Patel & Jack I. Richter, 2025. "Self-Interest over Ethics: Firm Withdrawal from Russia After the Ukraine Invasion," Journal of Business Ethics, Springer, vol. 199(2), pages 365-391, June.

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

    Cited by:

    1. Jeanne, Olivier & Son, Jeongwon, 2024. "To what extent are tariffs offset by exchange rates?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    2. Dedola, Luca & Georgiadis, Georgios & Gräb, Johannes & Mehl, Arnaud, 2018. "Does a big bazooka matter? Central bank balance-sheet policies and exchange rates," Working Paper Series 2197, European Central Bank.
    3. Fukuda, Shin-ichi, 2015. "Abenomics: Why was it so successful in changing market expectations?," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 1-20.
    4. Gustavo Adler & Ms. Carolina Osorio-Buitron, 2017. "Tipping the Scale? The Workings of Monetary Policy through Trade," IMF Working Papers 2017/142, International Monetary Fund.
    5. Zheyao Pan, 2018. "A state‐price volatility index for the U.S. government bond market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 573-597, November.
    6. Douglas L. Campbell & Lester Lusher, 2018. "The Impact of Real Exchange Rate Shocks on Manufacturing Workers: An Autopsy from the MORG," Working Papers w0223, Center for Economic and Financial Research (CEFIR).
    7. Atsushi Inoue & Barbara Rossi, 2019. "A New Approach to Measuring Economic Policy Shocks, with an Application to Conventional and Unconventional Monetary Policy," Working Papers 1082, Barcelona School of Economics.
    8. Julian di Giovanni & John Rogers, 2024. "The Impact of U.S. Monetary Policy on Foreign Firms," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 58-115, March.
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    137. Pierpaolo Benigno & Paolo Canofari & Giovanni Di Bartolomeo & Marcello Messori, 2021. "The ECB's policy measures during the COVID-19 crisis," Working Papers in Public Economics 207, Department of Economics and Law, Sapienza University of Roma.
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    140. Jean-Guillaume Sahuc & Grégory Levieuge & José Garcia-Revelo, 2024. "Revisiting 15 Years of Unusual Transatlantic Monetary Policies," EconomiX Working Papers 2024-13, University of Paris Nanterre, EconomiX.
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    142. Beetsma, Roel & de Jong, Frank & Giuliodori, Massimo & Widijanto, Daniel, 2017. "Realized (co)variances of eurozone sovereign yields during the crisis: The impact of news and the Securities Markets Programme," Journal of International Money and Finance, Elsevier, vol. 75(C), pages 14-31.
    143. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," Journal of International Money and Finance, Elsevier, vol. 148(C).
    144. Fausch, Jürg & Sigonius, Markus, 2018. "The impact of ECB monetary policy surprises on the German stock market," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 46-63.
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    150. Rongrong Sun, 2018. "Monetary Policy Announcements and Market Interest Rates Response: Evidence from China," CFDS Discussion Paper Series 2018/5, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    151. Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
    152. Wright, Jonathan H., 2019. "Comment on “Measuring euro area monetary policy” by Carlo Altavilla, Luca Brugnolini, Refet Gürkaynak, Giuseppe Ragusa and Roberto Motto," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 180-184.
    153. Albert, Juan-Francisco & Gómez-Fernández, Nerea, 2024. "The impact of monetary policy shocks on net worth and consumption across races in the United States," Economic Systems, Elsevier, vol. 48(1).
    154. Hiroyuki Kubota & Mototsugu Shintani, 2020. "High-frequency Identification of Unconventional Monetary Policy Shocks in Japan," CARF F-Series CARF-F-502, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    155. Wang, Ling, 2020. "Unconventional monetary policy and stock repurchases: Firm-level evidence from a comparison between the United States and Japan," Research in International Business and Finance, Elsevier, vol. 51(C).
    156. Nikolaos Petrakis & Christos Lemonakis & Christos Floros & Constantin Zopounidis, 2022. "Greek Banking Sector Stock Reaction to ECB’s Monetary Policy Interventions," JRFM, MDPI, vol. 15(10), pages 1-19, October.
    157. Luigi Bonatti & Andrea Fracasso & Roberto Tamborini, 2021. "Monetary and Fiscal Spillovers Across the Atlantic: The Role of Financial Markets," DEM Working Papers 2021/09, Department of Economics and Management.
    158. Takaoka, Sumiko & Takahashi, Koji, 2018. "Differential effects of unconventional monetary policy on syndicated loan contracts," MPRA Paper 89342, University Library of Munich, Germany.
    159. Mody, Ashoka & Nedeljkovic, Milan, 2024. "Central bank policies and financial markets: Lessons from the euro crisis," Journal of Banking & Finance, Elsevier, vol. 158(C).
    160. Neugebauer, Frederik, 2019. "ECB Announcements and Stock Market Volatility," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203554, Verein für Socialpolitik / German Economic Association.
    161. Don H. Kim & Marcelo Ochoa, 2021. "International Yield Spillovers," Finance and Economics Discussion Series 2021-001, Board of Governors of the Federal Reserve System (U.S.).
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    168. Solís, Pavel, 2025. "Term premia and credit risk in emerging markets: The role of U.S. monetary policy," Journal of International Economics, Elsevier, vol. 154(C).
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  18. Jonathan H. Wright, 2014. "Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset: Reply," American Economic Review, American Economic Association, vol. 104(1), pages 338-341, January.

    Cited by:

    1. Goliński, Adam, 2021. "Monetary policy at the zero lower bound: Information in the Federal Reserve’s balance sheet," European Economic Review, Elsevier, vol. 131(C).
    2. Januj Juneja, 2018. "Empirical performance of Gaussian affine dynamic term structure models in the presence of autocorrelation misspecification bias," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 695-715, April.
    3. De Rezende, Rafael B., 2016. "The interest rate effects of government bond purchases away from the lower bound," Working Paper Series 324, Sveriges Riksbank (Central Bank of Sweden).
    4. Alex Aronovich & Andrew C. Meldrum, 2021. "High-Frequency Estimates of the Natural Real Rate and Inflation Expectations," Finance and Economics Discussion Series 2021-034, Board of Governors of the Federal Reserve System (U.S.).
    5. Alberto Di Iorio & Marco Fanari, 2020. "Break-even inflation rates: the Italian case," Questioni di Economia e Finanza (Occasional Papers) 578, Bank of Italy, Economic Research and International Relations Area.
    6. Ceballos, Luis & Naudon, Alberto & Romero, Damian, 2014. "Nominal Term Structure and Term Premia. Evidence from Chile," MPRA Paper 60911, University Library of Munich, Germany.
    7. Halberstadt, Arne, 2021. "Decomposing the yield curve with linear regressions and survey information," Discussion Papers 27/2021, Deutsche Bundesbank.
    8. Hakan Berument & Richard T. Froyen, 2015. "Monetary policy and interest rates under inflation targeting in Australia and New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 49(2), pages 171-188, August.
    9. Lloyd, Simon P., 2020. "Estimating nominal interest rate expectations: Overnight indexed swaps and the term structure," Journal of Banking & Finance, Elsevier, vol. 119(C).
    10. Ichiue, Hibiki & Shimizu, Yuhei, 2015. "Determinants of long-term yields: A panel data analysis of major countries," Japan and the World Economy, Elsevier, vol. 34, pages 44-55.
    11. Halberstadt, Arne, 2023. "Decomposing the yield curve with linear regressions and survey information," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 25-39.
    12. Geert Bekaert & Eric Engstrom & Andrey Ermolov, 2017. "Macro Risks and the Term Structure of Interest Rates," Finance and Economics Discussion Series 2017-058, Board of Governors of the Federal Reserve System (U.S.).
    13. Sara Cecchetti & Adriana Grasso & Marcello Pericoli, 2022. "An analysis of objective inflation expectations and inflation risk premia," Temi di discussione (Economic working papers) 1380, Bank of Italy, Economic Research and International Relations Area.
    14. Martin Møller Andreasen & Kasper Jørgensen & Andrew Meldrum, 2019. "Bond Risk Premiums at the Zero Lower Bound," CREATES Research Papers 2019-10, Department of Economics and Business Economics, Aarhus University.
    15. Gianni Amisano & Oreste Tristani, 2019. "Uncertainty Shocks, Monetary Policy and Long-Term Interest Rates," Finance and Economics Discussion Series 2019-024, Board of Governors of the Federal Reserve System (U.S.).
    16. Juneja, Januj A., 2016. "Financial crises and estimation bias in international bond markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 593-607.
    17. Martin M. Andreasen & Kasper Joergensen & Andrew C. Meldrum, 2019. "Bond Risk Premiums at the Zero Lower Bound," Finance and Economics Discussion Series 2019-040, Board of Governors of the Federal Reserve System (U.S.).

  19. Min Wei & Jonathan H. Wright, 2013. "Reverse Regressions And Long‐Horizon Forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(3), pages 353-371, April.

    Cited by:

    1. Chernov, Mikhail & Bauer, Michael, 2021. "Interest Rate Skewness and Biased Beliefs," CEPR Discussion Papers 16274, C.E.P.R. Discussion Papers.
    2. Kostakis, Alexandros & Magdalinos, Tassos & Stamatogiannis, Michalis P., 2023. "Taking stock of long-horizon predictability tests: Are factor returns predictable?," Journal of Econometrics, Elsevier, vol. 237(2).
    3. Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75, Brandeis University, Department of Economics and International Business School.
    4. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    5. Tobias Adrian & Richard K. Crump & Erik Vogt, 2019. "Nonlinearity and Flight‐to‐Safety in the Risk‐Return Trade‐Off for Stocks and Bonds," Journal of Finance, American Finance Association, vol. 74(4), pages 1931-1973, August.
    6. Richard K. Crump & Nikolay Gospodinov, 2019. "Deconstructing the yield curve," Staff Reports 884, Federal Reserve Bank of New York.
    7. Jing-Zhi Huang & Zhan Shi, 2023. "Machine-Learning-Based Return Predictors and the Spanning Controversy in Macro-Finance," Management Science, INFORMS, vol. 69(3), pages 1780-1804, March.
    8. Faten Ben Bouheni & Manish Tewari, 2023. "Common risk factors and risk–return trade-off for REITs and treasuries," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 374-395, September.
    9. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    10. Jiang, Zhengyang, 2021. "US Fiscal cycle and the dollar," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 91-106.
    11. Bansal, Naresh & Stivers, Chris, 2022. "Bond risk’s role in the equity risk-return tradeoff," Journal of Financial Markets, Elsevier, vol. 60(C).
    12. Bretscher, Lorenzo & Hsu, Alex & Tamoni, Andrea, 2020. "Fiscal policy driven bond risk premia," Journal of Financial Economics, Elsevier, vol. 138(1), pages 53-73.
    13. Andrea Berardi & Michael Markovich & Alberto Plazzi & Andrea Tamoni, 2021. "Mind the (Convergence) Gap: Bond Predictability Strikes Back!," Management Science, INFORMS, vol. 67(12), pages 7888-7911, December.

  20. Refet S. Gürkaynak & Jonathan H. Wright, 2013. "Identification and Inference Using Event Studies," Manchester School, University of Manchester, vol. 81, pages 48-65, September.
    See citations under working paper version above.
  21. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1120-1154, December.
    See citations under working paper version above.
  22. Jonathan H. Wright, 2013. "Evaluating Real‐Time Var Forecasts With An Informative Democratic Prior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 762-776, August.
    See citations under working paper version above.
  23. Jon Faust & Simon Gilchrist & Jonathan H. Wright & Egon Zakrajšsek, 2013. "Credit Spreads as Predictors of Real-Time Economic Activity: A Bayesian Model-Averaging Approach," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1501-1519, December.
    See citations under working paper version above.
  24. Jonathan H. Wright, 2013. "Unseasonal Seasonals?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(2 (Fall)), pages 65-126.

    Cited by:

    1. Patrick Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," NBER Working Papers 22402, National Bureau of Economic Research, Inc.
    2. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
    3. Lahiri, Kajal & Yin, Yimeng, 2024. "Seasonality in U.S. disability applications, labor market, and the pandemic echoes," Labour Economics, Elsevier, vol. 87(C).
    4. Gabriel P. Mathy, 2018. "Hysteresis and persistent long-term unemployment: the American Beveridge Curve of the Great Depression and World War II," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(1), pages 127-152, January.

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

    Cited by:

    1. Carl Bonham & Peter Fuleky & James Jones & Ashley Hirashima, 2015. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 2015-13R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2016.
    2. Li, Dongxin & Zhang, Li & Li, Lihong, 2023. "Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 88(C).
    3. El-Shagi, Makram & Jung, Alexander, 2015. "Does the Greenspan era provide evidence on leadership in the FOMC?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 173-190.
    4. Martin Enilov, 2024. "The predictive power of commodity prices for future economic growth: Evaluating the role of economic development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3040-3062, July.
    5. Peter Fuleky & Carl Bonham, 2010. "Forecasting Based on Common Trends in Mixed Frequency Samples," Working Papers 2010-17R1, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2013.
    6. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    7. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    8. Guillaume Bagnarosa & Mark Cummins & Michael Dowling & Fearghal Kearney, 2022. "Commodity risk in European dairy firms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 151-181.
    9. Raul Ibarra & Luis M. Gomez-Zamudio, 2017. "Are Daily Financial Data Useful for Forecasting GDP? Evidence from Mexico," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 173-203, April.
    10. Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.
    11. Gani Ramadani & Magdalena Petrovska & Vesna Bucevska, 2021. "Evaluation of mixed frequency approaches for tracking near-term economic developments in North Macedonia," Working Papers 2021-03, National Bank of the Republic of North Macedonia.
    12. Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
    13. Hirashima, Ashley & Jones, James & Bonham, Carl S. & Fuleky, Peter, 2017. "Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism," Annals of Tourism Research, Elsevier, vol. 63(C), pages 191-202.
    14. Anna Samarina & Anh D.M. Nguyen, 2019. "Does monetary policy affect income inequality in the euro area?," Bank of Lithuania Working Paper Series 61, Bank of Lithuania.
    15. Lynda Khalaf & Maral Kichian & Charles Saunders & Marcel Voia, 2021. "Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit," Post-Print hal-03528880, HAL.
    16. Mont'Alverne Duarte, Angelo & Gaglianone, Wagner Piazza & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor, 2021. "Commodity prices and global economic activity: A derived-demand approach," Energy Economics, Elsevier, vol. 96(C).
    17. Peter Fuleky & Carl, 2013. "Forecasting with Mixed Frequency Samples: The Case of Common Trends," Working Papers 2013-5, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    18. Gilles Dufrénot & Meryem Rhouzlane & Etienne Vaccaro-Grange, 2022. "Potential growth and natural yield curve in Japan," Post-Print hal-03680259, HAL.
    19. Frömmel, Michael & Midiliç, Murat, 2021. "Daily currency interventions in an emerging market: Incorporating reserve accumulation to the reaction function," Economic Modelling, Elsevier, vol. 97(C), pages 461-476.
    20. Bahar Şen Doğan & Murat Midiliç, 2019. "Forecasting Turkish real GDP growth in a data-rich environment," Empirical Economics, Springer, vol. 56(1), pages 367-395, January.
    21. Bonino-Gayoso, Nicolás & García-Hiernaux, Alfredo, 2019. "TF-MIDAS: a new mixed-frequency model to forecast macroeconomic variables," MPRA Paper 93366, University Library of Munich, Germany.
    22. Grant Allan & Gary Koop & Stuart McIntyre & Paul Smith, 2014. "Nowcasting Scottish GDP Growth," Working Paper series 41_14, Rimini Centre for Economic Analysis.
    23. Hale, Galina & Lopez, Jose A, 2023. "Monitoring Banking System Connectedness with Big Data," Santa Cruz Department of Economics, Working Paper Series qt17h5v7rj, Department of Economics, UC Santa Cruz.
    24. Dhaene, Geert & Wu, Jianbin, 2020. "Incorporating overnight and intraday returns into multivariate GARCH volatility models," Journal of Econometrics, Elsevier, vol. 217(2), pages 471-495.
    25. Thomas Gilbert & Chiara Scotti & Georg H. Strasser & Clara Vega, 2015. "Is the Intrinsic Value of Macroeconomic News Announcements Related to Their Asset Price Impact?," Boston College Working Papers in Economics 874, Boston College Department of Economics, revised 23 Apr 2015.
    26. Donato Ceci & Orest Prifti & Andrea Silvestrini, 2024. "Nowcasting Italian GDP growth: a Factor MIDAS approach," Temi di discussione (Economic working papers) 1446, Bank of Italy, Economic Research and International Relations Area.
    27. Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2017. "An analysis of the decline of electricity spot prices in Europe: Who is to blame?," Energy Policy, Elsevier, vol. 107(C), pages 323-336.
    28. Marc Francke & Alex Van De Minne, 2022. "Daily appraisal of commercial real estate a new mixed frequency approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(5), pages 1257-1281, September.
    29. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.
    30. Leippold, Markus & Yang, Hanlin, 2019. "Particle filtering, learning, and smoothing for mixed-frequency state-space models," Econometrics and Statistics, Elsevier, vol. 12(C), pages 25-41.
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    4. Malkhozov, Aytek & Mueller, Philippe & Vedolin, Andrea & Venter, Gyuri, 2013. "Mortgage hedging in fixed income markets," LSE Research Online Documents on Economics 119032, London School of Economics and Political Science, LSE Library.
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    8. Demirer, Riza & Gupta, Rangan & Suleman, Tahir & Wohar, Mark E., 2018. "Time-varying rare disaster risks, oil returns and volatility," Energy Economics, Elsevier, vol. 75(C), pages 239-248.
    9. Fricke, Christoph & Menkhoff, Lukas, 2014. "Financial conditions, macroeconomic factors and (un)expected bond excess returns," Discussion Papers 35/2014, Deutsche Bundesbank.
    10. 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.
    11. Zhou, Haigang & Zhu, John Qi, 2019. "Firm characteristics and jump dynamics in stock prices around earnings announcements," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    12. Olesya V. Grishchenko & Zhaogang Song & Hao Zhou, 2015. "Term Structure of Interest Rates with Short-run and Long-run Risks," Finance and Economics Discussion Series 2015-95, Board of Governors of the Federal Reserve System (U.S.).
    13. 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.
    14. Joyce, Michael A.S. & Lildholdt, Peter & Sorensen, Steffen, 2010. "Extracting inflation expectations and inflation risk premia from the term structure: A joint model of the UK nominal and real yield curves," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 281-294, February.
    15. Cui, Jing & Zhao, Hua, 2015. "Intraday jumps in China's Treasury bond market and macro news announcements," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 211-223.
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    17. Lund, Bruno, 2019. "The Role of Jumps and Options in the Risk Premia of Interest Rates," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(2), January.
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    19. Hassan Zada & Mirzat Ullah & Kazi Sohag, 2025. "Examining the role of jumps on the returns and integrated volatility of emerging Asian stock markets during global financial crises and Covid-19: an application of the swap variance jump approach," Journal of Asset Management, Palgrave Macmillan, vol. 26(1), pages 30-43, February.
    20. Li, Shaoyu & Huang, Henry H. & Zhang, Teng, 2020. "Generalized affine transform on pricing quanto range accrual note," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    21. Fleming, Jeff & Kirby, Chris, 2011. "Long memory in volatility and trading volume," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1714-1726, July.
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    23. Todd E. Clark & Michael W. McCracken, 2011. "Tests of equal forecast accuracy for overlapping models," Working Papers (Old Series) 1121, Federal Reserve Bank of Cleveland.
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    28. Zhang, Zehua & Zhao, Ran, 2023. "Good volatility, bad volatility, and the cross section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 89(C).
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    30. Anupam Dutta & Elie Bouri & David Roubaud, 2021. "Modelling the volatility of crude oil returns: Jumps and volatility forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 889-897, January.
    31. Andrade, Sandro C. & Barrett, W. Brian, 2011. "Can broker-dealer client surveys provide signals for debt investing?," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1170-1178, May.
    32. Xin Yang & Shan Chen & Hong Liu & Xiaoguang Yang & Chuangxia Huang, 2023. "Jump volatility spillover network based measurement of systemic importance of Chinese financial institutions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1201-1213, April.
    33. Huang, Darien & Schlag, Christian & Shaliastovich, Ivan & Thimme, Julian, 2018. "Volatility-of-volatility risk," SAFE Working Paper Series 210, Leibniz Institute for Financial Research SAFE.
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    35. Duan, Jin-Chuan & Yeh, Chung-Ying, 2010. "Jump and volatility risk premiums implied by VIX," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2232-2244, November.
    36. Joslin, Scott & Konchitchki, Yaniv, 2018. "Interest rate volatility, the yield curve, and the macroeconomy," Journal of Financial Economics, Elsevier, vol. 128(2), pages 344-362.
    37. Zhu, Xiaoneng, 2015. "Out-of-sample bond risk premium predictions: A global common factor," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 155-173.
    38. Chen, XiaoHua & Maringer, Dietmar, 2011. "Detecting time-variation in corporate bond index returns: A smooth transition regression model," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 95-103, January.
    39. 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.
    40. Christos Ioannidis & Kook Ka, 2021. "Economic Policy Uncertainty and Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1479-1522, September.
    41. Sévi, Benoît, 2015. "Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps," Economic Modelling, Elsevier, vol. 44(C), pages 243-251.
    42. Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
    43. Mirco Rubin & Dario Ruzzi, 2020. "Equity tail risk in the treasury bond market," Temi di discussione (Economic working papers) 1311, Bank of Italy, Economic Research and International Relations Area.
    44. Malinská, Barbora, 2022. "Time-varying pricing of risk in sovereign bond futures returns," Finance Research Letters, Elsevier, vol. 47(PA).
    45. Han, Seung-Oh & Huh, Sahn-Wook & Park, Jeayoung, 2023. "Detecting jumps amidst prevalent zero returns: Evidence from the U.S. Treasury securities," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 276-307.
    46. Lian, Yu-Min & Chen, Jun-Home & Liao, Szu-Lang, 2024. "Pricing derivatives on foreign assets using Markov-modulated cojump-diffusion dynamics," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 503-519.
    47. Jang, Bong-Gyu & Yoon, Ji Hee, 2010. "Analytic valuation formulas for range notes and an affine term structure model with jump risks," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2132-2145, September.
    48. Giacomo Bormetti & Lucio Maria Calcagnile & Michele Treccani & Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2015. "Modelling systemic price cojumps with Hawkes factor models," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1137-1156, July.
    49. Jin-Huei Yeh & Jying-Nan Wang & Chung-Ming Kuan, 2014. "A noise-robust estimator of volatility based on interquantile ranges," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 751-779, November.
    50. Li, Junye, 2011. "Volatility components, leverage effects, and the return-volatility relations," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1530-1540, June.
    51. Chan, Kam Fong & Powell, John G. & Treepongkaruna, Sirimon, 2014. "Currency jumps and crises: Do developed and emerging market currencies jump together?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 132-157.
    52. Benoît Sévi & César Baena, 2012. "A reassessment of the risk-return tradeoff at the daily horizon," Economics Bulletin, AccessEcon, vol. 32(1), pages 190-203.
    53. Hassan Zada & Huma Maqsood & Shakeel Ahmed & Muhammad Zeb Khan, 2023. "Information shocks, market returns and volatility: a comparative analysis of developed equity markets in Asia," SN Business & Economics, Springer, vol. 3(1), pages 1-22, January.
    54. Sekkel, Rodrigo, 2011. "International evidence on bond risk premia," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 174-181, January.
    55. Evans, Kevin P., 2011. "Intraday jumps and US macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2511-2527, October.
    56. Hassan Zada & Arshad Hassan & Wing-Keung Wong, 2021. "Do Jumps Matter in Both Equity Market Returns and Integrated Volatility: A Comparison of Asian Developed and Emerging Markets," Economies, MDPI, vol. 9(2), pages 1-26, June.
    57. Kent Wang & Yuqiang Guo, 2014. "Predictability of time-varying jump premiums: Evidence based on calibration," Australian Journal of Management, Australian School of Business, vol. 39(3), pages 369-394, August.
    58. Da Fonseca, José & Ignatieva, Katja & Ziveyi, Jonathan, 2016. "Explaining credit default swap spreads by means of realized jumps and volatilities in the energy market," Energy Economics, Elsevier, vol. 56(C), pages 215-228.
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    60. Jae Young Jang & Min Jae Park, 2019. "A Study on Global Investors’ Criteria for Investment in the Local Currency Bond Markets Using AHP Methods: The Case of the Republic of Korea," Risks, MDPI, vol. 7(4), pages 1-20, October.

  37. Wright, Jonathan H., 2008. "Bayesian Model Averaging and exchange rate forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 329-341, October.
    See citations under working paper version above.
  38. Alain P. Chaboud & Sergey V. Chernenko & Jonathan H. Wright, 2008. "Trading Activity and Macroeconomic Announcements in High-Frequency Exchange Rate Data," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 589-596, 04-05.

    Cited by:

    1. Andreas M. Fischer & Angelo Ranaldo, 2008. "Does FOMC News Increase Global FX Trading?," Working Papers 2008-09, Swiss National Bank.
    2. Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015. "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 116-141.
    3. Andrey G. Shulgin, 2017. "A Simple Theoretical Setup for the Evaluation of Sterilized Intervention Effectiveness in a Small Open Commodity Exporting Economy," HSE Working papers WP BRP 170/EC/2017, National Research University Higher School of Economics.
    4. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    5. Ben Omrane, Walid & Heinen, Andréas, 2010. "Public news announcements and quoting activity in the Euro/Dollar foreign exchange market," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2419-2431, November.
    6. Tim Bollerslev & Jia Li & Yuan Xue, 2016. "Volume, Volatility and Public News Announcements," CREATES Research Papers 2016-19, Department of Economics and Business Economics, Aarhus University.
    7. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2007. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," International Finance Discussion Papers 905, Board of Governors of the Federal Reserve System (U.S.).
    8. Carlo Rosa, 2013. "The financial market effect of FOMC minutes," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 67-81.
    9. Wenqian Huang & Angelo Ranaldo & Andreas Schrimpf & Fabricius Somogyi, 2023. "Constrained liquidity provision in currency markets," BIS Working Papers 1073, Bank for International Settlements.
    10. Chien-Hsiu Lin & Shih-Kuei Lin & An-Chi Wu, 2015. "Foreign exchange option pricing in the currency cycle with jump risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 755-789, May.
    11. Domenico Ferraro & Kenneth S. Rogoff & Barbara Rossi, 2012. "Can Oil Prices Forecast Exchange Rates?," NBER Working Papers 17998, National Bureau of Economic Research, Inc.
    12. Christopher J. Neely, 2011. "A survey of announcement effects on foreign exchange volatility and jumps," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 361-385.
    13. Takatoshi Ito & Kenta Yamada & Misako Takayasu & Hideki Takayasu, 2020. "Execution Risk and Arbitrage Opportunities in the Foreign Exchange Markets," NBER Working Papers 26706, National Bureau of Economic Research, Inc.
    14. Gençay, Ramazan & Gradojevic, Nikola, 2013. "Private information and its origins in an electronic foreign exchange market," Economic Modelling, Elsevier, vol. 33(C), pages 86-93.
    15. Doojin Ryu & Robert I. Webb & Jinyoung Yu, 2023. "Who pays the liquidity cost? Central bank announcements and adverse selection," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 904-924, July.
    16. Weber, Christoph S., 2019. "The effect of central bank transparency on exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 165-181.
    17. Carlo Rosa, 2016. "Fedspeak: Who Moves U.S. Asset Prices?," International Journal of Central Banking, International Journal of Central Banking, vol. 12(4), pages 223-261, December.
    18. Huang, Wenqian & Ranaldo, Angelo & Schrimpf, Andreas & Somogyi, Fabricius, 2022. "Constrained Dealers and Market Efficiency," VfS Annual Conference 2022 (Basel): Big Data in Economics 264054, Verein für Socialpolitik / German Economic Association.

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

    Cited by:

    1. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    2. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. John C. Bluedorn & Christopher Bowdler, 2010. "The Empirics of International Monetary Transmission: Identification and the Impossible Trinity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 679-713, June.
    4. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    5. João Valle e Azevedo, 2011. "Rational vs. professional forecasts," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    6. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.
    7. Chanont Banternghansa & Michael W. McCracken, 2009. "Forecast disagreement among FOMC members," Working Papers 2009-059, Federal Reserve Bank of St. Louis.
    8. John C. Bluedorn & Christopher Bowdler & Christoffer Koch, 2014. "Heterogeneous bank lending responses to monetary policy: new evidence from a real-time identification," Working Papers 1404, Federal Reserve Bank of Dallas.
    9. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    10. Andrew C. Chang, 2018. "The Fed's Asymmetric Forecast Errors," Finance and Economics Discussion Series 2018-026, Board of Governors of the Federal Reserve System (U.S.).
    11. Paul Hubert, 2015. "Do Central Bank forecasts influence private agents? Forecasting Performance vs. Signals," SciencePo Working papers Main hal-03399242, HAL.
    12. Berge, Travis J. & Chang, Andrew C. & Sinha, Nitish R., 2019. "Evaluating the conditionality of judgmental forecasts," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1627-1635.
    13. Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.
    14. Amy Y. Guisinger & Michael W. Mccracken & Michael T. Owyang, 2025. "Reconsidering the Fed's Inflation Forecasting Advantage," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(1), pages 5-30, February.
    15. Knüppel, Malte & Schultefrankenfeld, Guido, 2013. "The empirical (ir)relevance of the interest rate assumption for central bank forecasts," Discussion Papers 11/2013, Deutsche Bundesbank.
    16. Andrew B. Martinez, 2025. "How do Macroeconomic Expectations React to Extreme Weather Shocks?," Working Papers 2025-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    17. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    18. Sylvia Kaufmann & Peter Kugler, 2010. "A monetary real-time conditional forecast of euro area inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 388-405.
    19. Timmermann, Allan & Patton, Andrew, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," CEPR Discussion Papers 8194, C.E.P.R. Discussion Papers.
    20. 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.
    21. Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019. "Mind the gap: A multi-country BVAR benchmark for the Eurosystem projections," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1658-1668.
    22. Thomas L. Hogan, 2022. "The calculus of dissent: Bias and diversity in FOMC projections," Public Choice, Springer, vol. 191(1), pages 105-135, April.
    23. Arai, Natsuki & Iizuka, Nobuo & Yamamoto, Yohei, 2022. "The Efficiency of the Government’s Revenue Projections," Discussion paper series HIAS-E-122, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    24. Robert P. Lieli & Augusto Nieto-Barthaburu, 2023. "Forecasting with Feedback," Papers 2308.15062, arXiv.org, revised Aug 2024.
    25. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    26. Paul Hubert, 2010. "Monetary policy, imperfect information and the expectations channel [Politique monétaire,information imparfaite et canal des anticipations]," SciencePo Working papers Main tel-04095385, HAL.
    27. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.
    28. Chen, Chaoyi & Gospodinov, Nikolay & Maynard, Alex & Pesavento, Elena, 2022. "Long-horizon stock valuation and return forecasts based on demographic projections," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 190-215.

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

    Cited by:

    1. B. Onur Tas, 2012. "Why does the Federal Reserve Forecast Inflation Better than Everyone Else?," Working Papers 1207, TOBB University of Economics and Technology, Department of Economics.
    2. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    3. Gamber, Edward N. & Smith, Julie K. & McNamara, Dylan C., 2014. "Where is the Fed in the distribution of forecasters?," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 296-312.
    4. Hubert, Paul & Labondance, Fabien, 2021. "The signaling effects of central bank tone," European Economic Review, Elsevier, vol. 133(C).
    5. Andreas Neuhierl & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," NBER Working Papers 22831, National Bureau of Economic Research, Inc.
    6. Neuhierl, Andreas & Weber, Michael, 2019. "Monetary policy communication, policy slope, and the stock market," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 140-155.
    7. Bu, Chunya & Rogers, John & Wu, Wenbin, 2021. "A unified measure of Fed monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 331-349.
    8. Paul Hubert, 2009. "An Empirical Review of Federal Reserve’s Informational Advantage," Documents de Travail de l'OFCE 2009-03, Observatoire Francais des Conjonctures Economiques (OFCE).
    9. Seung Kwak, 2022. "How Does Monetary Policy Affect Prices of Corporate Loans?," Finance and Economics Discussion Series 2022-008, Board of Governors of the Federal Reserve System (U.S.).
    10. Gurkaynak, Refet S & Sack, Brian & Swanson, Eric T, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," MPRA Paper 820, University Library of Munich, Germany.
    11. Friedrich Heinemann & Katrin Ullrich, 2007. "Does it Pay to Watch Central Bankers’ Lips? The Information Content of ECB Wording," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 143(II), pages 155-185, June.
    12. Frankel, Alex & Kartik, Navin, 2018. "What kind of central bank competence?," Theoretical Economics, Econometric Society, vol. 13(2), May.
    13. Paul Hubert & Fabien Labondance, 2019. "Central bank tone and the dispersion of views within monetary policy committees," Working Papers hal-03403256, HAL.
    14. D'Agostino, Antonello & Whelan, Karl, 2007. "Federal Reserve Information During the Great Moderation," Research Technical Papers 8/RT/07, Central Bank of Ireland.
    15. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Why Are Target Interest Rate Changes So Persistent?," NBER Working Papers 16707, National Bureau of Economic Research, Inc.
    16. Emi Nakamura & Jón Steinsson, 2018. "Identification in Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 59-86, Summer.
    17. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    18. Jarociński, Marek & Karadi, Peter, 2018. "Deconstructing monetary policy surprises: the role of information shocks," Working Paper Series 2133, European Central Bank.
    19. Kurov, Alexander, 2012. "What determines the stock market's reaction to monetary policy statements?," Review of Financial Economics, Elsevier, vol. 21(4), pages 175-187.
    20. Chengcheng Jia, 2019. "The Informational Effect of Monetary Policy and the Case for Policy Commitment," Working Papers 19-07R, Federal Reserve Bank of Cleveland, revised 09 May 2022.
    21. Mariana García-Schmidt, 2024. "Is the Information Channel of Monetary Policy Alive in Emerging Markets?," Working Papers Central Bank of Chile 1017, Central Bank of Chile.
    22. Kwamie Dunbar, 2008. "The Impact of the FOMC's Monetary Policy Actions on the growth of Credit Risk: the Monetary Policy - Liquidity Paradox," Working papers 2008-05, University of Connecticut, Department of Economics.
    23. Gorodnichenko, Y & Coibion, O, 2016. "How inertial is monetary policy? implications for the fed’s exit strategy," Department of Economics, Working Paper Series qt2qc6f09b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    24. Calvin He, 2021. "Monetary Policy, Equity Markets and the Information Effect," RBA Research Discussion Papers rdp2021-04, Reserve Bank of Australia.
    25. Andreas Neuhierl & Michael Weber & Michael Weber, 2017. "Monetary Momentum," CESifo Working Paper Series 6648, CESifo.
    26. Thealexa Becker & Andrew Lee Smith, 2015. "Has Forward Guidance Been Effective?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 57-78.
    27. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    28. Patrice T. Robitaille & Jennifer E. Roush, 2006. "How do FOMC actions and U.S. macroeconomic data announcements move Brazilian sovereign yield spreads and stock prices?," International Finance Discussion Papers 868, Board of Governors of the Federal Reserve System (U.S.).
    29. Ali Ozdagli & Michael Weber & Michael Weber, 2017. "Monetary Policy through Production Networks: Evidence from the Stock Market," CESifo Working Paper Series 6486, CESifo.
    30. Aymen Belgacem, 2009. "Fundamentals, Macroeconomic Announcements and Asset Prices," EconomiX Working Papers 2009-16, University of Paris Nanterre, EconomiX.
    31. Tas, Bedri Kamil Onur, 2011. "An explanation for the price puzzle: Asymmetric information and expectation dynamics," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 259-275, June.
    32. Baghestani, Hamid, 2006. "Federal reserve vs. private forecasts of real net exports," Economics Letters, Elsevier, vol. 91(3), pages 349-353, June.
    33. Hwang, Youngjin, 2025. "Information content in yield curve dynamics: Implications for monetary policy," Journal of Macroeconomics, Elsevier, vol. 83(C).
    34. Bedri Kamil Onur Tas, 2007. "Inflation Targeting as a Signalling Mechanism," Working Papers 0701, TOBB University of Economics and Technology, Department of Economics.
    35. Golez, Benjamin & Matthies, Ben, 2025. "Fed information effects: Evidence from the equity term structure," Journal of Financial Economics, Elsevier, vol. 165(C).
    36. Kishor, N. Kundan, 2023. "Estimating Expected Asset Returns With the Present Value Model of Consumption and Fed Forecasts," MPRA Paper 119617, University Library of Munich, Germany.
    37. Paul Hubert, 2015. "Do Central Bank forecasts influence private agents? Forecasting Performance vs. Signals," SciencePo Working papers Main hal-03399242, HAL.
    38. Chan, Kam Fong & Bowman, Robert G. & Neely, Christopher J., 2017. "Systematic cojumps, market component portfolios and scheduled macroeconomic announcements," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 43-58.
    39. Lakdawala, Aeimit & Schaffer, Matthew, 2019. "Federal reserve private information and the stock market," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 34-49.
    40. Abdullah Mamun & M. Kabir Hassan, 2014. "What explains the lack of monetary policy influence on bank holding companies?," Review of Financial Economics, John Wiley & Sons, vol. 23(4), pages 227-235, November.
    41. Benjamin Gardner & Chiara Scotti & Clara Vega, 2021. "Words Speak as Loudly as Actions: Central Bank Communication and the Response of Equity Prices to Macroeconomic Announcements," Finance and Economics Discussion Series 2021-074, Board of Governors of the Federal Reserve System (U.S.).
    42. Kishor N. Kundan, 2010. "The Superiority of Greenbook Forecasts and the Role of Recessions," NBP Working Papers 74, Narodowy Bank Polski.
    43. Karnaukh, Nina & Vokata, Petra, 2022. "Growth forecasts and news about monetary policy," Journal of Financial Economics, Elsevier, vol. 146(1), pages 55-70.
    44. Paul Hubert, 2015. "Revisiting the Greenbook’s relative forecasting performance," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(1), pages 151-179.
    45. Lavan Mahadeva, 2007. "A model of market surprises," Bank of England working papers 327, Bank of England.
    46. Jackson, Aaron L., 2010. "Policy futures markets with multiple goals," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 45-54, March.
    47. Michael Smolyansky & Gustavo A. Suarez, 2021. "Non-monetary news in Fed announcements: Evidence from the corporate bond market," Finance and Economics Discussion Series 2021-010r1, Board of Governors of the Federal Reserve System (U.S.), revised 31 Jan 2025.
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    1766. Ishimura, Yuichi & Shinkuma, Takayoshi & Takeuchi, Kenji & Hosoda, Eiji, 2024. "The effects of regional goal setting on household waste," Ecological Economics, Elsevier, vol. 215(C).
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    1768. Angelo Castaldo & Giuliana De Luca & Berardino Barile, 2021. "Does Initial Access To Bank Loans Predict Start‐Ups' Future Default Probability? Evidence From Italy," Contemporary Economic Policy, Western Economic Association International, vol. 39(1), pages 83-106, January.
    1769. Tonmoy Choudhury & Muhammad Kamran & Hadrian Geri Djajadikerta & Tapan Sarker, 2023. "Can Banks Sustain the Growth in Renewable Energy Supply? An International Evidence," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 20-50, February.
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  53. Tim Bollerslev & Jonathan H. Wright, 2001. "High-Frequency Data, Frequency Domain Inference, And Volatility Forecasting," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 596-602, November.
    See citations under working paper version above.
  54. Wright, Jonathan H, 2000. "Confidence Sets for Cointegrating Coefficients Based on Stationarity Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(2), pages 211-222, April.

    Cited by:

    1. Erik Hjalmarsson & Pär Österholm, 2010. "Testing for cointegration using the Johansen methodology when variables are near-integrated: size distortions and partial remedies," Empirical Economics, Springer, vol. 39(1), pages 51-76, August.
    2. Sophocles N. Brissimis & Petros M. Migiakis, 2013. "Inflation persistence and the rationality of inflation expectations," Working Papers 151, Bank of Greece.
    3. Michael Jansson & Marcelo J. Moreira, 2006. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Econometrica, Econometric Society, vol. 74(3), pages 681-714, May.
    4. Jean Thomas Bernard & Ba Chu & Lynda Khalaf & Marcel Voia, 2019. "Non-Standard Confidence Sets for Ratios and Tipping Points with Applications to Dynamic Panel Data," Post-Print hal-03549991, HAL.
    5. M. Shahe Emran & Forhad Shilpi & M. Imam Alam, 2007. "Economic liberalization and price response of aggregate private investment: time series evidence from India," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 914-934, August.
    6. Luca Benati & Robert Lucas, Jr. & Juan Nicolini & Warren Weber, 2016. "International Evidence on Long Run Money Demand," Working Papers id:11152, eSocialSciences.
    7. Luca Benati, 2017. "Money Velocity and the Natural Rate of Interest," Diskussionsschriften dp1706, Universitaet Bern, Departement Volkswirtschaft.
    8. Ulrich K. Müller & Mark W. Watson, 2024. "Spatial Unit Roots and Spurious Regression," Econometrica, Econometric Society, vol. 92(5), pages 1661-1695, September.
    9. Müller, Ulrich K. & Watson, Mark W., 2013. "Low-frequency robust cointegration testing," Journal of Econometrics, Elsevier, vol. 174(2), pages 66-81.
    10. Kurt Graden Lunsford, 2023. "Business Cycles and Low-Frequency Fluctuations in the US Unemployment Rate," Working Papers 23-19, Federal Reserve Bank of Cleveland.
    11. Ioannis Kasparis & Elena Andreou & Peter C.B. Phillips, 2012. "Nonparametric Predictive Regression," Cowles Foundation Discussion Papers 1878, Cowles Foundation for Research in Economics, Yale University.
    12. Jonathan H. Wright, 1999. "A simple approach to robust inference in a cointegrating system," International Finance Discussion Papers 654, Board of Governors of the Federal Reserve System (U.S.).
    13. Khalaf, Lynda & Urga, Giovanni, 2014. "Identification robust inference in cointegrating regressions," Journal of Econometrics, Elsevier, vol. 182(2), pages 385-396.
    14. Nikitas Pittis & Christina Christou & Sarantis Kalyvitis & Christis Hassapis, 2009. "Long‐Run PPP under the Presence of Near‐to‐Unit Roots: The Case of the British Pound–US Dollar Rate," Review of International Economics, Wiley Blackwell, vol. 17(1), pages 144-155, February.
    15. Moreira, Marcelo J. & Mourão, Rafael & Moreira, Humberto Ataíde, 2016. "A critical value function approach, with an application to persistent time-series," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 778, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    16. Katsumi Shimotsu & Alex Maynard, 2004. "Covariance-based orthogonality tests for regressors with unknown persistence," Econometric Society 2004 North American Summer Meetings 536, Econometric Society.
    17. Erik Hjalmarsson & Pär Österholm, 2007. "A residual-based cointegration test for near unit root variables," International Finance Discussion Papers 907, Board of Governors of the Federal Reserve System (U.S.).
    18. Kang, Heejoon, 2008. "The cointegration relationships among G-7 foreign exchange rates," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 446-460, June.

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

    Cited by:

    1. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    2. Katsumi Shimotsu, 2006. "Simple (but Effective) Tests Of Long Memory Versus Structural Breaks," Working Paper 1101, Economics Department, Queen's University.
    3. Mikkel Bennedsen & Asger Lunde & Mikko S. Pakkanen, 2017. "Decoupling the short- and long-term behavior of stochastic volatility," CREATES Research Papers 2017-26, Department of Economics and Business Economics, Aarhus University.
    4. Nuno Cassola & Claudio Morana, 2006. "Volatility of interest rates in the euro area: Evidence from high frequency data," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 513-528.
    5. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
    6. Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Working Papers hal-01512781, HAL.
    7. Bent Jesper Christensen & Rasmus Tangsgaard Varneskov, 2021. "Dynamic Global Currency Hedging [Arbitrage in the Foreign Exchange Market: Turning on the Microscope]," Journal of Financial Econometrics, Oxford University Press, vol. 19(1), pages 97-127.
    8. Yang K. Lu & Pierre Perron, 2008. "Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model," Boston University - Department of Economics - Working Papers Series wp2008-012, Boston University - Department of Economics.
    9. Hasan Fehmi Baklaci & Tezer Yelkenci, 2022. "Cross-time-frequency analysis of volatility linkages in global currency markets: an extended framework," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 267-314, June.
    10. Mikkel Bennedsen & Asger Lunde & Mikko S. Pakkanen, 2016. "Decoupling the short- and long-term behavior of stochastic volatility," Papers 1610.00332, arXiv.org, revised Jan 2021.
    11. Bollerslev, Tim, 2001. "Financial econometrics: Past developments and future challenges," Journal of Econometrics, Elsevier, vol. 100(1), pages 41-51, January.
    12. Paulo M.M. Rodrigues & Marina Balboa, 2021. "Multivariate Fractional Integration Tests allowing for Conditional Heteroskedasticity with an Application to Return Volatility and Trading Volume," Working Papers w202102, Banco de Portugal, Economics and Research Department.
    13. Loredana Ureche-Rangau & Quiterie de Rorthays, 2009. "More on the volatility-trading volume relationship in emerging markets: The Chinese stock market," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 779-799.
    14. Gil-Alana, Luis A. & Tripathy, Trilochan, 2014. "Modelling volatility persistence and asymmetry: A Study on selected Indian non-ferrous metals markets," Resources Policy, Elsevier, vol. 41(C), pages 31-39.
    15. Hansen, Peter R. & Lunde, Asger, 2014. "Estimating The Persistence And The Autocorrelation Function Of A Time Series That Is Measured With Error," Econometric Theory, Cambridge University Press, vol. 30(1), pages 60-93, February.
    16. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Economics Working Papers 2008-08, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    18. Pierre Perron & Zhongjun Qu, 2008. "Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices," Boston University - Department of Economics - Working Papers Series wp2008-004, Boston University - Department of Economics.
    19. Dräger, Lena & Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2020. "The Long Memory of Equity Volatility and the Macroeconomy: International Evidence," Hannover Economic Papers (HEP) dp-667, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    21. Charfeddine, Lanouar & Ajmi, Ahdi Noomen, 2013. "The Tunisian stock market index volatility: Long memory vs. switching regime," Emerging Markets Review, Elsevier, vol. 16(C), pages 170-182.
    22. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2017. "The Long Memory of Equity Volatility: International Evidence," Hannover Economic Papers (HEP) dp-614, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    23. Hull, Matthew & McGroarty, Frank, 2014. "Do emerging markets become more efficient as they develop? Long memory persistence in equity indices," Emerging Markets Review, Elsevier, vol. 18(C), pages 45-61.
    24. Saint Kuttu & Joshua Yindenaba Abor & Godfred Amewu, 2024. "Long memory in volatility in foreign exchange markets: evidence from selected countries in Africa," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 462-482, June.
    25. Härdle, Wolfgang Karl & Mungo, Julius, 2007. "Long memory persistence in the factor of Implied volatility dynamics," SFB 649 Discussion Papers 2007-027, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    26. David McMillan & Alan Speight, 2006. "Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 959-972.
    27. David W. Berger & Alain P. Chaboud & Erik Hjalmarsson & Edward Howorka, 2006. "What drives volatility persistence in the foreign exchange market?," International Finance Discussion Papers 862, Board of Governors of the Federal Reserve System (U.S.).
    28. Karuppiah, Jeyanthi & Los, Cornelis A., 2005. "Wavelet multiresolution analysis of high-frequency Asian FX rates, Summer 1997," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 211-246.
    29. Auer, Benjamin R., 2016. "On the performance of simple trading rules derived from the fractal dynamics of gold and silver price fluctuations," Finance Research Letters, Elsevier, vol. 16(C), pages 255-267.
    30. Omane-Adjepong, Maurice & Boako, Gideon, 2017. "Long-range dependence in returns and volatility of global gold market amid financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 188-202.
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    1. Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank.
    2. Rossi, Barbara & Pesavento, Elena, 2004. "Small Sample Confidence Intervals for Multivariate Impulse Response Functions at Long Horizons," CEPR Discussion Papers 4536, C.E.P.R. Discussion Papers.
    3. José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.
    4. Jonathan H. Wright, 2000. "Exact confidence intervals for impulse responses in a Gaussian vector autoregression," International Finance Discussion Papers 682, Board of Governors of the Federal Reserve System (U.S.).
    5. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    6. Atsushi Inoue & Lutz Kilian, 2019. "The uniform validity of impulse response inference in autoregressions," Vanderbilt University Department of Economics Working Papers 19-00001, Vanderbilt University Department of Economics.
    7. Dorfman, Jeffrey H. & McIntosh, Christopher S., 2001. "Imposing inequality restrictions: efficiency gains from economic theory," Economics Letters, Elsevier, vol. 71(2), pages 205-209, May.
    8. Richard T. Baillie & George Kapetanios & Fotis Papailias, 2017. "Inference for impulse response coefficients from multivariate fractionally integrated processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 60-84, March.
    9. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    10. Ozdemir, Zeynel Abidin & Gokmenoglu, Korhan & Ekinci, Cagdas, 2013. "Persistence in crude oil spot and futures prices," Energy, Elsevier, vol. 59(C), pages 29-37.
    11. Pesavento, Elena & Rossi, Barbara, 2007. "Impulse response confidence intervals for persistent data: What have we learned?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2398-2412, July.
    12. Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
    13. Kilian, Lutz & Kim, Yun Jung, 2009. "Do Local Projections Solve the Bias Problem in Impulse Response Inference?," CEPR Discussion Papers 7266, C.E.P.R. Discussion Papers.

  59. Wright, Jonathan H., 1999. "A new estimator of the fractionally integrated stochastic volatility model," Economics Letters, Elsevier, vol. 63(3), pages 295-303, June.

    Cited by:

    1. G. Mesters & S. J. Koopman & M. Ooms, 2016. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
    2. Mark J. Jensen, 2004. "Semiparametric Bayesian Inference of Long‐Memory Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(6), pages 895-922, November.
    3. Ana Pérez & Esther Ruiz, 2002. "Modelos de memoria larga para series económicas y financieras," Investigaciones Economicas, Fundación SEPI, vol. 26(3), pages 395-445, September.
    4. Celso Brunetti & Christopher L. Gilbert, 1999. "Bivariate FIGARCH and Fractional Cointegration," Working Papers 408, Queen Mary University of London, School of Economics and Finance.
    5. Pérez, Ana & Ruiz Ortega, Esther, 1999. "Finite sample properties of a QML estimator of stochastic volatility models with long memory," DES - Working Papers. Statistics and Econometrics. WS 6360, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Carmen Broto & Esther Ruiz, 2004. "Estimation methods for stochastic volatility models: a survey," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
    7. Veiga, Helena, 2006. "A two factor long memory stochastic volatility model," DES - Working Papers. Statistics and Econometrics. WS ws061303, Universidad Carlos III de Madrid. Departamento de Estadística.

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

    Cited by:

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

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

    Cited by:

    1. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    2. Athanasia Gavala & Nikolay Gospodinov & Deming Jiang, 2006. "Forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 381-400.
    3. Hansen, Peter R. & Lunde, Asger, 2014. "Estimating The Persistence And The Autocorrelation Function Of A Time Series That Is Measured With Error," Econometric Theory, Cambridge University Press, vol. 30(1), pages 60-93, February.
    4. Yong Li & Jun Yu, 2019. "An Improved Bayesian Unit Root Test in Stochastic Volatility Models," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 103-122, May.
    5. Luis Gil-Alana, 2003. "Stochastic behavior of nominal exchange rates," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(2), pages 159-173, June.
    6. Kevin B. Grier & Aaron D. Smallwood, 2007. "Uncertainty and Export Performance: Evidence from 18 Countries," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(4), pages 965-979, June.
    7. Benth, Fred Espen & Paraschiv, Florentina, 2018. "A space-time random field model for electricity forward prices," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 203-216.
    8. Yong Li & Jun Yu, 2010. "A New Bayesian Unit Root Test in Stochastic Volatility Models," Working Papers 21-2010, Singapore Management University, School of Economics, revised Oct 2010.
    9. Patton, Andrew J., 2011. "Data-based ranking of realised volatility estimators," Journal of Econometrics, Elsevier, vol. 161(2), pages 284-303, April.

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

    Cited by:

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

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

    Cited by:

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

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

    Cited by:

    1. Luis Alberiko Gil-Alaña & Olanrewaju L. Shittu & OlaOluwa S. Yaya, 2011. "Long memory, strcutural breaks and mean shifts in the inflation rates in Nigeria," NCID Working Papers 04/2011, Navarra Center for International Development, University of Navarra.
    2. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2011. "International Labour Force Participation Rates by Gender: Unit Root or Structural Breaks?," ERC Working Papers 1105, ERC - Economic Research Center, Middle East Technical University, revised Oct 2011.
    3. Beran, Jan & Shumeyko, Yevgen, 2012. "Bootstrap testing for discontinuities under long-range dependence," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 322-347.
    4. Les Oxley & Chris Price & William Rea & Marco Reale, 2008. "A New Procedure to Test for H Self-Similarity," Working Papers in Economics 08/16, University of Canterbury, Department of Economics and Finance.
    5. Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017. "Change-in-Mean Tests in Long-memory Time Series: A Review of Recent Developments," Hannover Economic Papers (HEP) dp-598, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    7. Pestana Barros, Carlos & Gil-Alana, Luis A. & Payne, James E., 2012. "Evidence of long memory behavior in U.S. renewable energy consumption," Energy Policy, Elsevier, vol. 41(C), pages 822-826.
    8. Sibbertsen, Philipp, 2000. "Robust CUSUM-M test in the presence of long-memory disturbances," Technical Reports 2000,19, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    9. Malinda & Maya & Jo-Hui & Chen, 2022. "Testing for the Long Memory and Multiple Structural Breaks in Consumer ETFs," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(6), pages 1-6.
    10. Javier Hualde & Fabrizio Iacone, 2015. "Autocorrelation robust inference using the Daniell kernel with fixed bandwidth," Discussion Papers 15/14, Department of Economics, University of York.
    11. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    12. Beran, Jan, 2007. "On parameter estimation for locally stationary long-memory processes," CoFE Discussion Papers 07/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
    13. Walter Kramer & Philipp Sibbertsen, 2002. "Testing for Structural Changes in the Presence of Long Memory," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(3), pages 235-242, December.
    14. Seong Yeon Chang & Pierre Perron, 2017. "Fractional Unit Root Tests Allowing for a Structural Change in Trend under Both the Null and Alternative Hypotheses," Econometrics, MDPI, vol. 5(1), pages 1-26, January.
    15. Iacone, Fabrizio & Leybourne, Stephen J. & Robert Taylor, A.M., 2013. "Testing for a break in trend when the order of integration is unknown," Journal of Econometrics, Elsevier, vol. 176(1), pages 30-45.
    16. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.

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

    Cited by:

    1. Jan, Yin-Ching & Chou, Peter Shyan-Rong & Hung, Mao-Wei, 2000. "Pacific Basin stock markets and international capital asset pricing," Global Finance Journal, Elsevier, vol. 11(1-2), pages 1-16.
    2. D.M. Nachane & Nishita Raje, 2007. "Financial Liberalisation and Monetary Policy," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 1(1), pages 47-83, March.
    3. Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers (Old Series) 1120, Federal Reserve Bank of Cleveland.

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

    Cited by:

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

  67. J. H. Wright, 1995. "Stochastic Orders Of Magnitude Associated With Two‐Stage Estimators Of Fractional Arima Systems," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(1), pages 119-125, January.

    Cited by:

    1. John Barkoulas & Christopher F. Baum, 1996. "Fractional Differencing Modeling and Forecasting of Eurocurrency Deposit Rates," Boston College Working Papers in Economics 317., Boston College Department of Economics.
    2. John Barkoulas & Christopher F. Baum, 2003. "Long-Memory Forecasting of U.S. Monetary Indices," Boston College Working Papers in Economics 558, Boston College Department of Economics.
    3. Delgado, Miguel A. & Velasco, Carlos, 2005. "Sign tests for long-memory time series," Journal of Econometrics, Elsevier, vol. 128(2), pages 215-251, October.

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

    Cited by:

    1. Christodoulakis, Nicos M. & Kalyvitis, Sarantis C., 1998. "A four-sector macroeconometric model for Greece and the evaluation of the community support framework 1994-1999," Economic Modelling, Elsevier, vol. 15(4), pages 575-620, October.
    2. Christodoulakis, Nicos M. & Kalyvitis, Sarantis C., 1997. "The demand for energy in Greece: assessing the effects of the Community Support Framework 1994-1999," Energy Economics, Elsevier, vol. 19(4), pages 393-416, October.
    3. Zbigniew Mogila & Janusz Zaleski & Joanna Kudelko, 2011. "Leaders and outliers in the race of regions - EU Cohesion Policy in Poland in the light of macroeconomic modelling," ERSA conference papers ersa11p292, European Regional Science Association.
    4. Attila Varga, 2007. "GMR-Hungary: A Complex Macro-Regional Model for the Analysis of Development Policy Impacts on the Hungarian Economy," UPFBE Working Paper Series 2007/4, Faculty of Business and Economics, University Pécs.
    5. Moretti, Luigi, 2004. "I modelli macroeconomici per la valutazione dell'impatto dei Fondi strutturali nelle economie a Obiettivo 1 [Macroeconomic Models Used for the Impact Evaluation of the Structural Funds in Objective," MPRA Paper 18868, University Library of Munich, Germany.
    6. de la Fuente, Angel, 2002. "The Effect of Structural Fund Spending on the Spanish Regions: An Assessment of the 1994-99 Objective 1 CSF," CEPR Discussion Papers 3673, C.E.P.R. Discussion Papers.
    7. Stephen Roper, 2005. "Cross-Border and Local Cooperation on the island of Ireland - A Behavioural Perspective," ERSA conference papers ersa05p475, European Regional Science Association.
    8. Morris A. Davis & Michael G. Palumbo, 2001. "A primer on the economics and time series econometrics of wealth effects," Finance and Economics Discussion Series 2001-09, Board of Governors of the Federal Reserve System (U.S.).
    9. Bergin, Adele & Kearney, Ide, 2007. "Human capital accumulation in an open labour market: Ireland in the 1990s," Economic Modelling, Elsevier, vol. 24(6), pages 839-858, November.
    10. Alan Barrett & Adele Bergin, 2009. "Estimating the Impact of Immigration in Ireland," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 35, pages 1-2.
    11. John FitzGerald & David Duffy & Diarmaid Smyth, 2000. "Managing an Economy Under EMU: The Case of Ireland," Papers WP127, Economic and Social Research Institute (ESRI).
    12. John Bradley & Edgar Morgenroth & Gerhard Untiedt, 2003. "Macro-Regional Evaluation of the Structural Funds Using the HERMIN Modelling Framework," Papers WP152, Economic and Social Research Institute (ESRI).
    13. Begona Eguía & Cruz Angel Echevarría, "undated". "Estructura de la edad poblacional e inversión residencial en Espana," Studies on the Spanish Economy 119, FEDEA.

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

    Cited by:

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

Chapters

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

    Cited by:

    1. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    2. Ahmed, M. Iqbal & Cassou, Steven P., 2021. "Asymmetries in the effects of unemployment expectation shocks as monetary policy shifts with economic conditions," Economic Modelling, Elsevier, vol. 100(C).
    3. Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
    4. Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
    5. Bart Keijsers & Dick van Dijk, 2022. "Does economic uncertainty predict real activity in real-time?," Tinbergen Institute Discussion Papers 22-069/III, Tinbergen Institute, revised 01 Mar 2023.
    6. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    7. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," ERSA Working Paper Series, Economic Research Southern Africa, vol. 0.
    8. Marcin Kolasa & Michal Rubaszek, 2016. "Does foreign sector help forecast domestic variables in DSGE models?," EcoMod2016 9393, EcoMod.
    9. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2012. "Prediction Markets for Economic Forecasting," CESifo Working Paper Series 3884, CESifo.
    10. Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024. "Forecasting UK inflation bottom up," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1521-1538.
    11. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    12. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    13. Arnoud Stevens & Joris Wauters, 2021. "Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
    14. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    15. Barkan, Oren & Benchimol, Jonathan & Caspi, Itamar & Cohen, Eliya & Hammer, Allon & Koenigstein, Noam, 2023. "Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1145-1162.
    16. Peter Hooper, 2018. "The case against price-level targeting," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(3), pages 145-155, July.
    17. Angela Capolongo & Claudia Pacella, 2019. "Forecasting inflation in the euro area: countries matter!," Temi di discussione (Economic working papers) 1224, Bank of Italy, Economic Research and International Relations Area.
    18. Davide Pettenuzzo & Allan Timmermann, 2017. "Forecasting Macroeconomic Variables Under Model Instability," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 183-201, April.
    19. Marcelo Arbex & Sidney Caetano & Wilson Correa, 2018. "Macroeconomic Effects of Inflation Target Uncertainty Shocks," Working Papers 1804, University of Windsor, Department of Economics.
    20. Karol Szafranek, 2017. "Bagged artificial neural networks in forecasting inflation: An extensive comparison with current modelling frameworks," NBP Working Papers 262, Narodowy Bank Polski.
    21. Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series) 1439, Federal Reserve Bank of Cleveland.
    22. Christopher G. Gibbs & Andrey L. Vasnev, 2017. "Conditionally Optimal Weights and Forward-Looking Approaches to Combining Forecasts," Discussion Papers 2017-10, School of Economics, The University of New South Wales.
    23. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    24. Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2017. "Forecasting Inflation in Latin America with Core Measures," MPRA Paper 80496, University Library of Munich, Germany.
    25. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324, Elsevier.
    26. Aparicio, Diego & Bertolotto, Manuel I., 2020. "Forecasting inflation with online prices," International Journal of Forecasting, Elsevier, vol. 36(2), pages 232-247.
    27. Kristin Forbes & Lewis Kirkham & Konstantinos Theodoridis, 2021. "A Trendy Approach to UK Inflation Dynamics," Manchester School, University of Manchester, vol. 89(S1), pages 23-75, September.
    28. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    29. Li, Kai, 2019. "Portfolio selection with inflation-linked bonds and indexation lags," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    30. Rodrigo Sekkel, 2014. "Balance Sheets of Financial Intermediaries: Do They Forecast Economic Activity?," Staff Working Papers 14-40, Bank of Canada.
    31. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2024. "Comparing forecasting performance with panel data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 918-941.
    32. Huisman, Ronald & Van der Sar, Nico L. & Zwinkels, Remco C.J., 2021. "Volatility expectations and disagreement," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 379-393.
    33. Dobrislav Dobrev & Pawel J. Szerszen, 2025. "Missing Data Substitution for Enhanced Robust Filtering and Forecasting in Linear State-Space Models," Finance and Economics Discussion Series 2025-001, Board of Governors of the Federal Reserve System (U.S.).
    34. Kim, Insu & Kim, Young Se, 2019. "Inattentive agents and inflation forecast error dynamics: A Bayesian DSGE approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
    35. Bo Zhang & Joshua C.C. Chan & Jamie L. Cross, 2018. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," CAMA Working Papers 2018-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    36. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    37. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    38. Tallman, Ellis W. & Zaman, Saeed, 2017. "Forecasting inflation: Phillips curve effects on services price measures," International Journal of Forecasting, Elsevier, vol. 33(2), pages 442-457.
    39. Carriero, Andrea & Galvão, Ana Beatriz & Kapetanios, George, 2019. "A comprehensive evaluation of macroeconomic forecasting methods," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1226-1239.
    40. Verbrugge, Randal & Zaman, Saeed, 2024. "Improving inflation forecasts using robust measures," International Journal of Forecasting, Elsevier, vol. 40(2), pages 735-745.
    41. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    42. Patrick T. Kanda & Mehmet Balcilar & Pejman Bahramian & Rangan Gupta, 2016. "Forecasting South African inflation using non-linearmodels: a weighted loss-based evaluation," Applied Economics, Taylor & Francis Journals, vol. 48(26), pages 2412-2427, June.
    43. Garcia, Juan Angel & Gimeno, Ricardo, 2024. "Navigating high inflation: A joint analysis of inflation dynamics and long-term inflation expectations in Latin America," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    44. 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.
    45. Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.
    46. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    47. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2018. "Using low frequency information for predicting high frequency variables," International Journal of Forecasting, Elsevier, vol. 34(4), pages 774-787.
    48. Michael T. Kiley, 2023. "The Role of Wages in Trend Inflation: Back to the 1980s?," Finance and Economics Discussion Series 2023-022, Board of Governors of the Federal Reserve System (U.S.).
    49. Dellas, Harris & Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2018. "The macroeconomic and fiscal implications of inflation forecast errors," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 203-217.
    50. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    51. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    52. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2015. "Complete subset regressions with large-dimensional sets of predictors," Journal of Economic Dynamics and Control, Elsevier, vol. 54(C), pages 86-110.
    53. Kaihatsu, Sohei & Nakajima, Jouchi, 2018. "Has trend inflation shifted?: An empirical analysis with an equally-spaced regime-switching model," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 69-83.
    54. Mehrotra, Aaron & Yetman, James, 2018. "Are inflation targets credible? A novel test," Economics Letters, Elsevier, vol. 167(C), pages 67-70.
    55. Huber, Florian & Onorante, Luca & Pfarrhofer, Michael, 2024. "Forecasting euro area inflation using a huge panel of survey expectations," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1042-1054.
    56. Korobilis, Dimitris & Landau, Bettina & Musso, Alberto & Phella, Anthoulla, 2021. "The time-varying evolution of inflation risks," Working Paper Series 2600, European Central Bank.
    57. Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017. "Short-term inflation forecasting: The M.E.T.A. approach," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1065-1081.
    58. 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.
    59. Berardi, Michele & Galimberti, Jaqueson K., 2014. "A note on the representative adaptive learning algorithm," Economics Letters, Elsevier, vol. 124(1), pages 104-107.
    60. Han, Zhao, 2024. "Asymmetric information and misaligned inflation expectations," Journal of Monetary Economics, Elsevier, vol. 143(C).
    61. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    62. 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.
    63. Álvarez, Luis J. & Sánchez, Isabel, 2019. "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 568-585.
    64. Hasan ŞENGÜLER & Berat KARA, 2025. "Forecasting the Inflation for Budget Forecasters: An Analysis of ANN Model Performance in Türkiye," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 10(1), pages 58-91.
    65. Lucian Liviu ALBU & Carlos MatéJIMÉNEZ & Mihaela SIMIONESCU, 2015. "The Assessment of Some Macroeconomic Forecasts for Spain using Aggregated Accuracy Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 30-47, June.
    66. Smets, Frank & Warne, Anders & Wouters, Rafael, 2014. "Professional forecasters and real-time forecasting with a DSGE model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 981-995.
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