Conditional dependence of index returns series in Shanghai stock market is analyzed using the Copula-GARCH model combined the t-GARCH model with a Copula function.
The chapter five extend to multi-variable risk factors, adopting Monte Carlo simulation estimate the VaR of multi-variable risk factors based on Copula function and extreme value theory, and has a numerical simulation study.
4. The bivariate extreme value theory is applied to research the heavy-tail characteristic of the joint distribution of the Shanghai and Shenzhen stock market by a new extreme Copula, t-EV-Copula.
Conditional dependence of index returns series in Shanghai stock market is analyzed using the Copula-GARCH model combined the t-GARCH model with a Copula function.
The aim of this paper is to present a Monte Carlo Simulation based procedure to estimate portfolio Value-at-Risk, assuming for the risk factors a multivariate log-return distribution different from the conditional normal one.
These alternate males are incapable of flight and lack the air-filled abdominal bladder used in long-range acoustic communication; but may be found in copula with mature females in the field.
However, sterile males require at least a day longer to mature (day 4 instead of day 3) and remained in copula for longer period but they become aspermic at the same rate as fertile males.