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Liu, W. and Yang, A.L. (2011) The Finite Mixture Model Unsupervised Learning Algorithm Which Based on BIC Criterion and Gibbs Sampling. Electronic Journals, 39, 134-139.

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• TITLE: Measuring Dependence Risk of Funds with Copula in China

  AUTHORS: Jiaqi Tang, Guohua Sun

  KEYWORDS: Copula, Dependence Risk, Monte Carlo Simulation, Parameter Estimation

  JOURNAL NAME: Applied Mathematics, Vol.5 No.13, July 7, 2014

  ABSTRACT: The aim of this paper is to measure dependence risk of fund market with copulas in China. Firstly, we introduce several common copula functions, then estimate parameters of copula function, and discuss how to select the optimal copula function. Finally, according to Shanghai and Shenzhen fund data, empirical analysis was done. Different combinations of risk values were obtained.