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

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Zhenyu ZHANG

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Share us to:   


Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
[email protected]; [email protected]; [email protected]

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures