Risk Measuring of Internet Financial Structural Products Based on Garch-EVT-Copula

Zhenyu ZHANG, Mengyun XIANG

Abstract


Internet structured financial products quickly occupied the market, however, ordinary investors cannot identify its risks because of complex product design. In this paper, Garch-EVT-Copula is used to scale the market risk of these products and quantify the extreme market risk through the Extreme Value Theory, Copula function and VaR model. After introducing our model, this paper uses the method to measure the risk of Internet structured financial products on the platform with an example, and provide scientific decision-making basis for the risk management of Internet financial products.


Keywords


Internet finance; Garch-EVT-copula; VaR

References


Acerbi, A., & Tasche, D. (1998). On the coherence of expected shortfall. Journal of Banking & Finance, 27(6), 1487-1503.

Akgiray, V. (1998). Distribution properties of Latin American black market exchange rates. Journal of International Money and Finance, 7, 37- 48.

Bouyé, E., Durrleman. V., Nikeghbali, A., Riboulet,G., & Roncalli, T. (2000). Copulas for finance: A reading guide and some applications. London: City University Business School.

Cui, B. S. (2008). Dynamic copula modelling for value at risk. Frontiers in Finance and Economics, 5, 72-108.

Du, M. (1999). Financial ratios as predictors of failures. Journal of Accounting Research, (6), 71-102.

Duffee, G. (1999). Estimating the price of default risk. Review of Financial Studies, 12(1), 197-26.

Embrechts, P., McNeil, A., & traumann, D. (1999). Correlation: Piflails and alternatives. RISK, 12(5), 11- 21.

Embrechts, P., McNeil, A., & Straumann, D. (1999). Correlation: Piflailsand alternatives. RISK, 12(5), 11-2.

Fisher, R. A., & Tippett, L. H. C. (1928). Limiting forms of the frequency distribution of the largest or smallest member of a sample. Proceedings of Cambridge Philosophical Society, 24, 180-190.

Gao, S. (2006). A general approach to integrated risk management with skewed, fat-tailed risks. Journal of Financial Economics, 79, 569-614.

Gong, P., & Huang, R. B. (2000). Value-at-risk: Applying the extreme value approach to Asian markets in the recent financial turmoil. Pacific-Basin Finance Journal, 8(2), 249-275.

Hua, Y. J. (1998). Calculating quantile risk measures for financial time series using extreme value theory. ASTIN Bulletin, 27, 117-137.

Koedijk, K. G. (1992). The estimation of East European exchange rates. Journal of Business and Statistic, 10, 83-89.

Longin, F. M. (2000). From value at risk to stress testing: The extreme value approach. Journal of Banking and Finance, 24, 1097-1130.

Nelsen, R. B. (1998). An introduction to copulas. New York: Springer.

Patton, A. J. (2001). Modeling time-varying exchange rate dependence using the conditional copula. San Diego: University of California.

Pickands, J. (1975). Statistic alinference using extreme order statistics. Ann. Statist, 3, 119-131.

Rosenberg, C. (2002). Applying copula function to risk management. Rome: University of Rome, La Sapienza.

Shi, D. J. (2010). A comparative study of VaR estimation for structured products. Economics Research Internationa1, 1-16.

Sklar, A. (1959). Fonctions de répartition`an dimensions et leurs marges. Publications de l‘Institut de Statistique de l‘ Université de Paris, 8, 229- 231.

Stelios, B. D., & Georgoutsos , D. (2005). Estimation of value-at-risk by extreme value and conventional methods: A compariative evaluation of their predictive performance. International Financial Markets, Institutions and Money, 15, 209-228.

Tasche, D. (2002). Expected shortfall and beyond. Journal of Banking & Finance, 26(7), 1519-1533.

Tian, H. W., Zhan, Y. R., & Qiu, J. (2005). Measuring portfolio value-at-risk by a copula-EVT based pproach. Study Ecomomic, 85, 1-29.

Wang, Z. R. (2009). Modeling international financial returns with a multivariate regime-switching copula. Journal of Financial Econometrics, 7, 437-480.

Wang, Z. R. (2004). Residual life time at great age. Annals of Probability, 2, 792-804.

Wu, Z. X. (2010). The measurement of integrated risk between market risk and liquidity risk. Journal of Beijing Institute of Technology (Social Sciences Edition), 8, 367-385.

Xie, F. Z. (2015). Measuring the value-at-risk of foreign exchange portfolio by a Garch-Evt-Copula based model. Journal of Industrial Engineering and Engineering Management, 69, 602-614.

Ye, W. Y. (1999). Financial ratios as predictors of failures. Journal of Accounting Research, (6), 71-102.

Zhang, Y. T. (2012). Option portfolio value at risk using Monte Carlo simulation under a risk neutral stochastic implied volatility model. Global Journal of Business Research, 6, 65-72.




DOI: http://dx.doi.org/10.3968/n

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