JACIII Vol.22 No.4 pp. 457-464
doi: 10.20965/jaciii.2018.p0457


Construction and Application of Mixed Copula Model

Xueyan Pan*, Guanghui Cai**, and Qiulin Chen**

*School of Economics and Mangement, Anhui Normal Universtity
No. 189 Jiuhua South Road, Wuhu, Anhui 241002, China

**School of Statistics and Mathematics, Zhejiang Gongshang University
No.18 Xuezheng Street, Xiasha University Town, Hangzhou 310018, China

July 28, 2017
December 25, 2017
July 20, 2018
model selection, mixed Copula model, Kendall rank correlation coefficient

The Copula theory has been widely used in many scientific fields. In this study, we discuss model selection for the Copula theory. We derive the mixed Copula model based on the Kendall rank correlation coefficient. This new method is applied to forecast the value at risk of the portfolio in the foreign exchange market. The results show that the proposed mixed Copula model proposed in this paper is better than the other, commonly used, Copula model.

Cite this article as:
X. Pan, G. Cai, and Q. Chen, “Construction and Application of Mixed Copula Model,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.4, pp. 457-464, 2018.
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Last updated on Aug. 16, 2018