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Can Forecast Errors Predict Financial Crises? Exploring the Properties of a New Multivariate Credit Gap

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Abstract

Yes, they can. I propose a new method to detect credit booms and busts from multivariate systems -- monetary Bayesian vector autoregressions. When observed credit is systematically higher than credit forecasts justified by real economic activity variables, a positive credit gap emerges. The methodology is tested for 31 advanced and emerging market economies. The resulting credit gaps fit historical evidence well and detect turning points earlier, outperforming the credit-to-GDP gaps in signaling financial crises, especially at longer horizons. The results survive in real time and can shed light on the drivers of credit booms.

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  • Elena Afanasyeva, 2020. "Can Forecast Errors Predict Financial Crises? Exploring the Properties of a New Multivariate Credit Gap," Finance and Economics Discussion Series 2020-045, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2020-45
    DOI: 10.17016/FEDS.2020.045
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    1. Enrique G. Mendoza & Marco E. Terrones, 2008. "An Anatomy Of Credit Booms: Evidence From Macro Aggregates And Micro Data," NBER Working Papers 14049, National Bureau of Economic Research, Inc.
    2. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2019. "Money, Credit, Monetary Policy, and the Business Cycle in the Euro Area: What Has Changed Since the Crisis?," International Journal of Central Banking, International Journal of Central Banking, vol. 15(5), pages 137-173, December.
    3. Pierre-Olivier Gourinchas & Rodrigo Valdes & Oscar Landerretche, 2001. "Lending Booms: Latin America and the World," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 47-100, January.
    4. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    5. Shigenori Shiratsuka, 2005. "The asset price bubble in Japan in the 1980s: lessons for financial and macroeconomic stability," BIS Papers chapters, in: Bank for International Settlements (ed.), Real estate indicators and financial stability, volume 21, pages 42-62, Bank for International Settlements.
    6. Buch, Claudia M. & Eickmeier, Sandra & Prieto, Esteban, 2014. "In search for yield? Survey-based evidence on bank risk taking," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 12-30.
    7. Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen V.K. Rombouts, 2015. "The Contribution of Structural Break Models to Forecasting Macroeconomic Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 596-620, June.
    8. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    9. Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen V.K. Rombouts, 2015. "The Contribution of Structural Break Models to Forecasting Macroeconomic Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 596-620, June.
    10. Bank for International Settlements, 2005. "Real estate indicators and financial stability," BIS Papers, Bank for International Settlements, number 21.
    11. Marek Jarocinski & Frank Smets, 2008. "House prices and the stance of monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 90(Jul), pages 339-366.
    12. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The unreliability of credit-to-GDP ratio gaps in real-time: Implications for countercyclical capital buffers," Finance and Economics Discussion Series 2011-37, Board of Governors of the Federal Reserve System (U.S.).
    13. Ben S. Bernanke & Cara S. Lown, 1991. "The Credit Crunch," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 205-248.
    14. Vasso Ioannidou & Steven Ongena & José-Luis Peydró, 2015. "Monetary Policy, Risk-Taking, and Pricing: Evidence from a Quasi-Natural Experiment," Review of Finance, European Finance Association, vol. 19(1), pages 95-144.
    15. Afanasyeva, Elena & Güntner, Jochen, 2020. "Bank market power and the risk channel of monetary policy," Journal of Monetary Economics, Elsevier, vol. 111(C), pages 118-134.
    16. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    17. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    18. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    19. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    20. Gabriel Jiménez & Steven Ongena & José‐Luis Peydró & Jesús Saurina, 2014. "Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?," Econometrica, Econometric Society, vol. 82(2), pages 463-505, March.
    21. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    22. Tobias Adrian & Emanuel Moench & Hyun Song Shin, 2010. "Macro Risk Premium and Intermediary Balance Sheet Quantities," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 58(1), pages 179-207, August.
    23. Bowman, David & Cai, Fang & Davies, Sally & Kamin, Steven, 2015. "Quantitative easing and bank lending: Evidence from Japan," Journal of International Money and Finance, Elsevier, vol. 57(C), pages 15-30.
    24. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    25. John B. Taylor, 2007. "Housing and monetary policy," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 463-476.
    26. Matthew Baron & Emil Verner & Wei Xiong, 2021. "Banking Crises Without Panics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(1), pages 51-113.
    27. Philip Lowe & Claudio Borio, 2002. "Asset prices, financial and monetary stability: exploring the nexus," BIS Working Papers 114, Bank for International Settlements.
    28. Adrian, Tobias & Song Shin, Hyun, 2010. "Financial Intermediaries and Monetary Economics," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 12, pages 601-650, Elsevier.
    29. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    30. Douglas J. Elliott & Greg Feldberg & Andreas Lehnert, 2013. "The history of cyclical macroprudential policy in the United States," Finance and Economics Discussion Series 2013-29, Board of Governors of the Federal Reserve System (U.S.).
    31. Afanasyeva, Elena & Jerow, Sam & Lee, Seung Jung & Modugno, Michele, 2024. "Sowing the seeds of financial imbalances: The role of macroeconomic performance," Journal of Financial Stability, Elsevier, vol. 74(C).
    32. Bordo, Michael D. & Haubrich, Joseph G., 2010. "Credit crises, money and contractions: An historical view," Journal of Monetary Economics, Elsevier, vol. 57(1), pages 1-18, January.
    33. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The Unreliability of Credit-to-GDP Ratio Gaps in Real Time: Implications for Countercyclical Capital Buffers," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 261-298, December.
    34. Mathias Drehmann & Claudio Borio & Leonardo Gambacorta & Gabriel Jiminez & Carlos Trucharte, 2010. "Countercyclical capital buffers: exploring options," BIS Working Papers 317, Bank for International Settlements.
    35. Afanasyeva, Elena, 2013. "Atypical behavior of credit: Evidence from a monetary VAR," IMFS Working Paper Series 70, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    36. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
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    Cited by:

    1. Piergiorgio Alessandri & Pierluigi Bologna & Maddalena Galardo, 2022. "Financial Crises, Macroprudential Policy and the Reliability of Credit-to-GDP Gaps," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 625-667, December.
    2. Daniel O. Beltran & Mohammad R. Jahan-Parvar & Fiona A. Paine, 2021. "Optimizing Credit Gaps for Predicting Financial Crises: Modelling Choices and Tradeoffs," International Finance Discussion Papers 1307, Board of Governors of the Federal Reserve System (U.S.).

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    More about this item

    Keywords

    Bayesian VARs; conditional forecasts; Credit boom; Credit gap; Early warning; Financial crisis;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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