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Hysteresis and Duration Dependence of Financial Crises in the US: Evidence from 1871-2016

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  • Rui Menezes
  • Sonia Bentes

Abstract

This study analyses the duration dependence of events that trigger volatility persistence in stock markets. Such events, in our context, are monthly spells of contiguous price decline or negative returns for the S&P500 stock market index over the last 145 years. Factors known to affect the duration of these spells are the magnitude or intensity of the price decline, long-term interest rates and economic recessions, among others. The result of interest is the conditional probability of ending a spell of consecutive months over which stock market returns remain negative. In this study, we rely on continuous time survival models in order to investigate this question. Several specifications were attempted, some of which under the proportional hazards assumption and others under the accelerated failure time assumption. The best fit of the various models endeavored was obtained for the log-normal distribution. This distribution yields a non-monotonic hazard function that increases up to a maximum and then decreases. The peak is achieved 2-3 months after the spells onset with a hazard of around 0.9 or higher; this hazard then decays asymptotically to zero. Spells duration increase during recessions, when interest rate rises and when price declines are more intense. The main conclusion is that short spells of negative returns appear to be mainly frictional while long spells become structural and trigger hysteresis effects after an initial period of adjustment. Although in line with our expectations, these results may be of some importance for policy-makers.

Suggested Citation

  • Rui Menezes & Sonia Bentes, 2016. "Hysteresis and Duration Dependence of Financial Crises in the US: Evidence from 1871-2016," Papers 1610.00259, arXiv.org.
  • Handle: RePEc:arx:papers:1610.00259
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    1. Daly, Kevin, 2008. "Financial volatility: Issues and measuring techniques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2377-2393.
    2. Bentes, Sónia R. & Menezes, Rui & Mendes, Diana A., 2008. "Long memory and volatility clustering: Is the empirical evidence consistent across stock markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3826-3830.
    3. Roberto G. Gutierrez, 2002. "Parametric frailty and shared frailty survival models," Stata Journal, StataCorp LP, vol. 2(1), pages 22-44, February.
    4. Li, Wei-Shen & Liaw, Sy-Sang, 2015. "Return volatility interval analysis of stock indexes during a financial crash," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 151-163.
    5. Choi, Sujung, 2016. "Herding among local individual investors: Evidence from online and offline trading," Economics Letters, Elsevier, vol. 144(C), pages 4-6.
    6. Ntantamis, Christos & Zhou, Jun, 2015. "Bull and bear markets in commodity prices and commodity stocks: Is there a relation?," Resources Policy, Elsevier, vol. 43(C), pages 61-81.
    7. Sheri Markose & Amadeo Alentorn, 2005. "Option Pricing and the Implied Tail Index with the Generalized Extreme Value (GEV) Distribution," Computing in Economics and Finance 2005 397, Society for Computational Economics.
    8. Freedman, David A., 2006. "On The So-Called "Huber-Sandwich Estimator" and "Robust Standard Errors"," The American Statistician, American Statistical Association, vol. 60, pages 299-302, November.
    9. repec:bla:jfinan:v:44:y:1989:i:5:p:1115-53 is not listed on IDEAS
    10. repec:bla:econom:v:47:y:1980:i:187:p:247-83 is not listed on IDEAS
    11. Markose, Sheri M & Alentorn, Amadeo, 2005. "The Generalized Extreme Value (GEV) Distribution, Implied Tail Index and Option Pricing," Economics Discussion Papers 3726, University of Essex, Department of Economics.
    12. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
    13. King, Gary & Roberts, Margaret E., 2015. "How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About It," Political Analysis, Cambridge University Press, vol. 23(2), pages 159-179, April.
    14. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
    15. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    16. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2007. "On the integrated behaviour of non-stationary volatility in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 58-65.
    17. Jouni Kuha, 2004. "AIC and BIC," Sociological Methods & Research, , vol. 33(2), pages 188-229, November.
    18. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    19. Berg, G.J. & Ours, J.C., 1993. "Unemployment dynamics and duration dependence in France, the Netherlands and the UK," Serie Research Memoranda 0038, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    20. Mr. Lorenzo Giorgianni & Mr. Leonardo Bartolini, 1999. "Excess Volatility and the Asset-Pricing Exchange Rate Model with Unobservable Fundamentals," IMF Working Papers 1999/071, International Monetary Fund.
    21. Salem Boubakri & Cécile Couharde & Hélène Raymond, 2014. "Financial integration, financial turmoil and risk premia in emerging markets," Working Papers hal-04141291, HAL.
    22. Boubakri, Salem & Couharde, Cécile & Raymond, Hélène, 2016. "Effects of financial turmoil on financial integration and risk premia in emerging markets," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 120-138.
    23. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    24. Economou, Fotini & Katsikas, Epameinondas & Vickers, Gregory, 2016. "Testing for herding in the Athens Stock Exchange during the crisis period," Finance Research Letters, Elsevier, vol. 18(C), pages 334-341.
    25. van den Berg, Gerard J & van Ours, Jan C, 1994. "Unemployment Dynamics and Duration Dependence in France, the Netherlands and the United Kingdom," Economic Journal, Royal Economic Society, vol. 104(423), pages 432-443, March.
    26. Fama, Eugene F. & Schwert, G. William, 1977. "Asset returns and inflation," Journal of Financial Economics, Elsevier, vol. 5(2), pages 115-146, November.
    27. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    28. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
    29. Rolf Aaberge, 2002. "Characterization and Measurement of Duration Dependence in Hazard Rate Models," Discussion Papers 319, Statistics Norway, Research Department.
    30. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    31. Lansing, Kevin J. & LeRoy, Stephen F., 2014. "Risk aversion, investor information and stock market volatility," European Economic Review, Elsevier, vol. 70(C), pages 88-107.
    32. Heckman, James J. & Singer, Burton, 1984. "Econometric duration analysis," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 63-132.
    33. Frugier, Alain, 2016. "Returns, volatility and investor sentiment: Evidence from European stock markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 45-55.
    34. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    35. Wu, Shue-Jen & Lee, Wei-Ming, 2015. "Predicting severe simultaneous bear stock markets using macroeconomic variables as leading indicators," Finance Research Letters, Elsevier, vol. 13(C), pages 196-204.
    36. Litimi, Houda & BenSaïda, Ahmed & Bouraoui, Omar, 2016. "Herding and excessive risk in the American stock market: A sectoral analysis," Research in International Business and Finance, Elsevier, vol. 38(C), pages 6-21.
    37. Zorn, Christopher J. W., 2000. "Modeling Duration Dependence," Political Analysis, Cambridge University Press, vol. 8(4), pages 367-380, July.
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