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Gong, X.; Nguyen, H. T.; Kreinovich, V.; Sriboonchitta, S.

Examining the consistence of futures margin levels using bivariate extreme value copulas. (English) Zbl 1463.62350

Thai J. Math. 12, Spec. Iss., 39-57 (2014).
Summary: This study examines the consistence of the futures margin levels of different commodities and combinations in the CME group by Extreme Value Copula (EVC). We find that if we ignore the co-movements of the commodities, the margins become consistent with each other, and the margin violation rates hover around 0.5%. However, if we consider the co-movement of the related commodities using EVC, the margin levels are found to be not consistent anymore, especially in the combinations of strongly related commodities which are in the same category. Therefore, we suggest that the CME group should try to harmonize the margins policy with respect to the dependence between the futures in the future.

MSC:

62P20 Applications of statistics to economics
91B84 Economic time series analysis
62H05 Characterization and structure theory for multivariate probability distributions; copulas

Keywords:

bivariate extreme value copula; futures; consistent margin levels; CME group

Software:

ismev
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References:

[1] Sriboonchita, S., Wong, W. K., Dhompongsa, S., Nguyen, H. T. (2009). Stochastic dominance and applications to finance, risk and economics. CRC Press.
[2] Gong, Xue, Songsak S., (2013) The optimal margin setting: The application of bivariate EVT method. The Empirical Econometrics and Quantitative Economics Letters. 2, 55-74.
[3] Longin, Francois M., (2000) The Margin-Volatility Relationship: A Test Based on Extreme Price Movements. London Business School Institute of Finance and Accounting Working Paper 191.
[4] Estrella,A.(1988). Consistent margins requirements: Are they feasible? Federal Reserve Bank of New York Quarterly Review, 13, 61-79.
[5] Longin, Francois M. (1999), Optimal margin level in futures markets: Extreme price movements. Journal of Futures Markets. 19, 127152.
[6] John Cotter, Kevin Dowd. (2006). Extreme spectral risk measures: An application to futures clearinghouse margin requirements. Journal of Banking and Finance, 30(12), 3469-3485.
[7] Figlewski, S. (1984). Margins and market integrity: Margin setting for stock index futures and options. Journal of Futures Markets, 4(3), 385-416.
[8] Cathy Ning, Tony S. Wirjanto. 2009. Extreme returnvolume dependence in East-Asian stock markets: A copula approach, Finance Research Letters, 6, 202-209.
[9] W. Breymann, A. Dias and P. Embrechts. (2003). Dependence structures for multivariate high-frequency data in finance. Quantitative Finance. 3, 1-14. · Zbl 1408.62173
[10] S. Coles, An Introduction to Statistical Modeling of Extreme Values, Springer, 2001. · Zbl 0980.62043
[11] Sirisrisakulchai, J., Sriboonchitta, S. (2014). Modeling Dependence of Accident-Related Outcomes Using Pair Copula Constructions for Discrete Data. In Modeling Dependence in Econometrics. Springer International Publishing. 215-228.
[12] Liu J.X, Sriboonchitta, S., Nguyen, H. T., Kreinovich, V. (2014). Studying Volatility and Dependency of Chinese Outbound Tourism Demand in Singapore, Malaysia, and Thailand: A Vine Copula Approach. In Modeling Dependence in Econometrics. Springer International Publishing. 259-274.
[13] J. Beirlant, Y. Goegebeur, J. Segers, J. Teugels.(2004) Statistics of extremes: Theory and Applications. Wiley Series in Probability and Statistics. John Wiley and Sons Ltd., Chichester. · Zbl 1070.62036
[14] Embrechts, P., Kluppelberg, C., and Mikosch, T. (1997). Modelling extremal events: for insurance and finance (Vol.33). Springer. · Zbl 0873.62116
[15] Beirlant, J., Goegebeur, Y., Segers, J., and Teugels, J. (2006). Statistics of extremes: theory and applications. John Wiley Sons. · Zbl 1070.62036
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