Market Extreme Moves and the Industries' Probability of Crash and Jump

Authors

  • Mohammed Bouaddi American University in Cairo, Department of Economics, AUC Avenue, P.O. Box 74, New Cairo 11835, Egypt

DOI:

https://doi.org/10.14738/abr.127.17331

Keywords:

Copula, Tail dependence, Probability of crash, Probability of jump, asymmetric extreme dependence

Abstract

We investigate the dependence of stock returns in the extreme. We use a flexible model for the probability of extreme moves. The results show that the dependence of industries' returns to the market returns is asymmetric and significant in the extreme. In addition, it shows that; the probability of an industry to crash is at least seven times higher than the probability to jump. The results also highlight that the probability of an industry the crash or jump is higher in non-recession periods than in recession periods due to surprise effect.

References

Adrian, T., and H. S. Shin, 2008. Liquidity, Monetary Policy, and Financial Cycles. Current Issues in Economics and Finance, 14, 1-7.

Adrian, T. and H.S. Shin, 2010. Liquidity and Leverage. Journal of Financial Intermediation, 19, 418-437.

Ang, A., and J. Chen, 2002. Asymmetric correlations of equity portfolios. Journal of Financial Economics 63,

Bae, K. H., G. A. Karolyi, and R. M. Stulz, 2003. A new approach to measuring financial contagion. Review of Financial Studies 16, 717-763.

Baillien, J., Gijbels, I., and Verhasselt, A, 2022. Estimation in copula models with two-piece skewed margins using the inference for margins method. Econometrics and Statistics. (In Press)

Brunnermeier, M. K., and L. H. Pedersen, 2009. Market liquidity and funding liquidity. Review of Financial Studies 22, 2201-2238.

Campbell, R., A. J., K. Koedijk, and P. Kofman, 2002. Increased Correlation in Bear Markets. Financial Analysts Journal 58, 87-94.

Campbell, R. A. J., C. S. Forbes, K. G. Koedijk, and P. Kofman, 2008. Increasing correlations or just fat tails? Journal of Empirical Finance 15, 287-309.

Christie, A.A, 1982. The stochastic behavior of common stock variances. Journal of Financial Economics 10, Bouaddi, B. (2024). Market Extreme Moves and the Industries' Probability of Crash and Jump. Archives of Business Research, 12(7). 78-88.

Coval, J., and E. Stafford, 2007. Asset fire sales (and purchases) in equity markets. Journal of Financial Economics 86, 479-512.

Diamond, D. and R. Rajan, 2010. Fear of Fire Sales and the Credit Freeze. Bank for International Settlements, Working Papers, No 305.

Fama, E. F., 1965. The behavior of stock-market prices. Journal of Business 38, 34-105.

French, K. R., G.W. Schwert, and R. F. Stambaugh, 1987. Expected stock returns and volatility, Journal of Financial Economics 19, 3-29.

Hansen, B.E., 1994. Autoregressive conditional density estimation. International Economic Revue 35, 705-730.

Hong, Y., J. Tu, and G. Zhou, 2007. Asymmetries in stock returns: Statistical tests and economic evaluation. Review of Financial Studies 20, 1547-81.

Ivashina, V., and D. Scharfstein, 2010. Bank Lending during the Financial Crisis of 2008. Journal of Financial Economics 97, 319-338.

Jiang, L., W. Ke, and G. Zhou, 2018a. Asymmetry in stock comovements: An Entropy Approach. Journal of Financial and Quantitative Analysis 53, 1479-507.

Jiang, Lei, Esfandiar Maasoumi, Jiening Pan, and K. Wu, 2018b. A test of general asymmetric dependence. Journal of Applied Econometrics 33, 1026-43.

Jondeau, E, 2016. Asymmetry in tail dependence in equity portfolios. Computational Statistics and Data Analysis 100, 351-68.

Joe, H., 1997, Multivariate Models and Dependence Concepts. Monograph in Statistics and Probability 73, London: Chapman and Hall.

Joe, H., and J. J. Xu, 1996. The estimation method of inference functions for margins for multivariate models. Technical Report 166, Department of Statistics, University of British Columbia. doi: http://dx.doi.org/10.14288/1.0225985

Kang, W., A. Hameed, and S. Viswanathan, 2010. Stock Market Declines and Liquidity. Journal of Finance 65, 257-293.

Ko, V., and N.L. Hjort, 2019. Model robust inference with two-stage maximum likelihood estimation for copulas. Journal of Multivariate Analysis 171, 362-381.

Krishnamurthy, A. 2009. Amplification Mechanisms in Liquidity Crises. American Economic Journal 2,1-33.

Kyle, A. S., and W. Xiong, 2001. Contagion as a wealth effect. Journal of Finance 56, 1401-1440.

Longin, F., and B. Solnik, 2001. Extreme correlation of international equity markets. Journal of Finance 56,

Louzada, F., and P. H. Ferreira, 2016. Modified inference function for margins for the bivariate clayton copula-based SUN tobit model. Journal of Applied Statistics 43, 2956-2976.

Mirza, H., D. Moccero, S. Palligkinis, and C. Pancaro, 2020. Fire sales by euro area banks and funds: What is their asset price impact? Economic Modelling 93, 430-444. 87

Perrotti, E. and J. Suarez, 2011. A Pigovian Approach to Liquidity Regulation. International Journal of Central Banking 7, 3-41.

Rodriguez, J. C., 2007. Measuring financial contagion: A copula approach. Journal of Empirical Finance 14,

Sadka, R., 2010. Liquidity Risk and the Cross-Section of Hedge-Fund Returns. Journal of Financial Economics 98, 54-71.

Schleifer, A., and R. Vishny, 2011. Fire sales in finance and macroeconomics. Journal of Economic Perspectives 25, 29-48.

Shih, J. H., and T. A. Louis, 1995. Inferences on the association parameter in copula models for bivariate survival data. Biometrics 51, 1384-1399.

Slovin, M. B., M. E. Sushka, and J. A. Polonchek, 1999. An Analysis of Contagion and Competitive Effects at Commercial Banks. Journal of Financial Economics 54, 197-225.

Uhlig, H., 2010. A model of asystemic bank run. Journal of Monetary Economics 57, 78-96.

Yuan, K., 2005. Asymmetric price movements and borrowing constraints: A rational expectations equilibrium model of

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Published

2024-07-31

How to Cite

Bouaddi, M. (2024). Market Extreme Moves and the Industries’ Probability of Crash and Jump. Archives of Business Research, 12(7), 78–88. https://doi.org/10.14738/abr.127.17331