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Were Financial Crises Predictable?

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  • Canova, Fabio

Abstract

This paper empirically investigates the nature of financial crises in the United States before 1914. It attempts to determine whether crises were statistically similar, predictable, and had a common generating mechanism. Using probit and hazard models and out-of-sample criteria, it is shown there are variables that explain movements in the probability of crises and that the probability of crises is seasonal. Two crises were predictable but in the other six episodes every forecasting model examined failed. These results suggest that financial crises were not all statistically alike and that their generation mechanisms differed. Copyright 1994 by Ohio State University Press.

Suggested Citation

  • Canova, Fabio, 1994. "Were Financial Crises Predictable?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(1), pages 102-124, February.
  • Handle: RePEc:mcb:jmoncb:v:26:y:1994:i:1:p:102-24
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    Cited by:

    1. Ilhyock Shim & Goetz Von Peter, 2007. "Distress Selling and Asset Market Feedback," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 16(5), pages 243-291, December.
    2. Michele Fratianni, 2008. "Financial Crises, Safety Nets and Regulation," Rivista italiana degli economisti, Società editrice il Mulino, issue 2, pages 169-208.
    3. Martin Bijsterbosch & Tatjana Dahlhaus, 2015. "Key features and determinants of credit-less recoveries," Empirical Economics, Springer, vol. 49(4), pages 1245-1269, December.
    4. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
    5. Xavier De Scheemaekere & Kim Oosterlinck & Ariane Szafarz, 2014. "Issues in Identifying Economic Crises: Insights from History," Working Papers CEB 14-014, ULB -- Universite Libre de Bruxelles.
    6. Hessler, Andrew, 2023. "Unobserved components model estimates of credit cycles: Tests and predictions," Journal of Financial Stability, Elsevier, vol. 66(C).
    7. Emmanuel Carré & Laurent Le Maux, 2024. "Bernanke and Kindleberger on financial crises, 1978–2003," Oxford Economic Papers, Oxford University Press, vol. 76(2), pages 314-329.
    8. Nason, James M. & Tallman, Ellis W., 2015. "Business Cycles And Financial Crises: The Roles Of Credit Supply And Demand Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 19(4), pages 836-882, June.
    9. Tomáš, Domonkos & Filip, Ostrihoň & Ivana, Šikulová & Mária, Širaňová, 2017. "Analysing the Relevance of the MIP Scoreboard's Indicators," National Institute Economic Review, National Institute of Economic and Social Research, vol. 239, pages 32-52, February.
    10. Tomáš, Domonkos & Filip, Ostrihoň & Ivana, Šikulová & Mária, Širaňová, 2017. "Analysing the Relevance of the MIP Scoreboard's Indicators," National Institute Economic Review, National Institute of Economic and Social Research, vol. 239, pages 32-52, February.
    11. Hoag, Christopher, 2005. "Deposit drains on "interest-paying" banks before financial crises," Explorations in Economic History, Elsevier, vol. 42(4), pages 567-585, October.
    12. Miller, V., 1998. "Domestic bank runs and speculative attacks on foreign currencies," Journal of International Money and Finance, Elsevier, vol. 17(2), pages 331-338, April.
    13. George Monokroussos, 2013. "A Classical MCMC Approach to the Estimation of Limited Dependent Variable Models of Time Series," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 71-105, June.
    14. Iskandar Simorangkir, 2011. "Determinant Of Bank Runs In Indonesia: Bad Luck Or Fundamental?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 14(1), pages 51-73, July.
    15. Bijsterbosch, Martin & Dahlhaus, Tatjana, 2011. "Determinants of credit-less recoveries," Working Paper Series 1358, European Central Bank.
    16. Sugawara, Naotaka & Zalduendo, Juan, 2013. "Credit-less recoveries : neither a rare nor an insurmountable challenge," Policy Research Working Paper Series 6459, The World Bank.
    17. Xavier De Scheemaekere & Kim Oosterlinck & Ariane Szafarz, 2012. "Addressing Economic Crises: The Reference-Class Problem," Working Papers CEB 12-024, ULB -- Universite Libre de Bruxelles.
    18. Konstandina Natalia, 2006. "Probability of Bank Failure: The Russian Case," EERC Working Paper Series 06-01e, EERC Research Network, Russia and CIS.
    19. Gong, Rui & Page, Frank, 2016. "Shadow banks and systemic risks," LSE Research Online Documents on Economics 66044, London School of Economics and Political Science, LSE Library.
    20. Diamondopoulos, John, 2012. "To what extent are financial crises comparable and thus predictable?," MPRA Paper 45668, University Library of Munich, Germany.
    21. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised May 2024.
    22. Tomáš Domonkos & Filip Ostrihoň & Ivana Šikulová & Maria Širaňová, 2016. "Analyzing macroeconomic imbalances in the EU," EcoMod2016 9660, EcoMod.
    23. Carree, Martin A., 2003. "A hazard rate analysis of Russian commercial banks in the period 1994-1997," Economic Systems, Elsevier, vol. 27(3), pages 255-269, September.
    24. Carree, M.A., 2000. "Interest and Hazard Rates of Russian Saving Banks," ERIM Report Series Research in Management ERS-2000-26-STR, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    25. Ioannis D. Vrontos & John Galakis & Ekaterini Panopoulou & Spyridon D. Vrontos, 2024. "Forecasting GDP growth: The economic impact of COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1042-1086, July.

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