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An extreme value analysis of the last century crises across industries in the U.S. economy

Author

Listed:
  • Bee, Marco
  • Riccaboni, Massimo
  • Trapin, Luca
Abstract
The two large scale crises that hit the world economy in the last century, i.e. the Great Depression and the Great Recession, have similar outbreak and recovery patterns with respect to several macroeconomic variables. In particular, the largest depressions are likely to be accompanied by stock-market crashes. This study investigates the behavior of the U.S. stock market before, during and after deep downturns, focusing particularly on the tails of the return distribution. We develop two automatic procedures to identify multiple change-points in the tail of financial time series as well as in the co-crash and co-boom probabilities of different markets. We then apply our methodology to twelve time series representative of the sectors of the U.S. economy. We find that regime shifts in the lower tail of the distribution tend to co-occur before deep downturns. Our results contribute to a better understanding of the origin and systemic nature of large scale events to make policy interventions more timely and effective.

Suggested Citation

  • Bee, Marco & Riccaboni, Massimo & Trapin, Luca, 2017. "An extreme value analysis of the last century crises across industries in the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 65-78.
  • Handle: RePEc:eee:dyncon:v:81:y:2017:i:c:p:65-78
    DOI: 10.1016/j.jedc.2017.01.012
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    References listed on IDEAS

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    1. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2017. "Microeconomic Origins of Macroeconomic Tail Risks," American Economic Review, American Economic Association, vol. 107(1), pages 54-108, January.
    2. Gauti B. Eggertsson & Neil R. Mehrotra, 2014. "A Model of Secular Stagnation," NBER Working Papers 20574, National Bureau of Economic Research, Inc.
    3. S. T. M. Straetmans & W. F. C. Verschoor & C. C. P. Wolff, 2008. "Extreme US stock market fluctuations in the wake of 9|11," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 17-42.
    4. Carmela Quintos & Zhenhong Fan & Peter C. B. Phillips, 2001. "Structural Change Tests in Tail Behaviour and the Asian Crisis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(3), pages 633-663.
    5. Marco Bee & Debbie J. Dupuis & Luca Trapin, 2016. "US stock returns: are there seasons of excesses?," Quantitative Finance, Taylor & Francis Journals, vol. 16(9), pages 1453-1464, September.
    6. Barro, Robert J. & Ursúa, José F., 2017. "Stock-market crashes and depressions," Research in Economics, Elsevier, vol. 71(3), pages 384-398.
    7. Candelon, Bertrand & Straetmans, Stefan, 2006. "Testing for multiple regimes in the tail behavior of emerging currency returns," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1187-1205, November.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Bordo, Michael & James, Harold, 2010. "The Great Depression analogy1," Financial History Review, Cambridge University Press, vol. 17(2), pages 127-140, October.
    10. 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..
    11. Joseph E. Stiglitz, 2015. "Towards a General Theory of Deep Downturns," NBER Working Papers 21444, National Bureau of Economic Research, Inc.
    12. Carrasco, Marine & Chen, Xiaohong, 2002. "Mixing And Moment Properties Of Various Garch And Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 18(1), pages 17-39, February.
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    More about this item

    Keywords

    Financial crisis; Extreme value theory; Change-points detection; U.S. economy;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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