Title :
Study on Measures of Dependence Conditional Risk Based-on Copulas in Financial Portfolio
Author :
Yi Wen-de ; Huang Ai-hua
Author_Institution :
Dept. of Math. & Stat., Chongqing Univ. of Arts & Sci., Chongqing
Abstract :
Copulas have become a powerful tool for modeling the dependence structure of financial data and preferable to the traditional, correlation-based approach. This paper concerns the application of copula functions in VaR and conditional VaR valuation. Some measures of dependence risks are proposed in studying financial portfoliopsilas risk. We investigate the relations between the dependence risk measure and copula function, and find that the choice of copula will effect on the degree of dependence risk in portfolio.
Keywords :
financial data processing; risk analysis; statistical analysis; conditional VaR valuation; copula function; copulas; dependence conditional risk; financial data; financial portfolio risk; statistical modelling; Application software; Art; Distributed computing; Finance; Financial management; Gaussian distribution; Information technology; Portfolios; Reactive power; Risk management; Conditional dependence risk; Conditional probability; Copula; Portfolio;
Conference_Titel :
Future Information Technology and Management Engineering, 2008. FITME '08. International Seminar on
Conference_Location :
Leicestershire, United Kingdom
Print_ISBN :
978-0-7695-3480-0
DOI :
10.1109/FITME.2008.131