Using copulas, in this paper we investigate the static and dynamic extreme dependence of international stock markets. We examine both the structure and the degree of the dependence. The data set are daily returns on the stock indices from countries in North America, Europe and East Asia. The results show signi…cant asymmetric tail dependence in most of the return pairs, with the overall lower t...

objective: the present study was conducted to compare the effectiveness of two therapeutic approaches, namely, cognitive behavioral therapy (cbt) and stages of change model (soc) on improving abstinence self-efficacy in adolescent addicts. methods: forty five self-referred adolescent addicts were randomly selected to take part in this study. initial assessment was made using the following quest...

empirical studies show that there is stronger dependency between large losses than large profit in financial market, which undermine the performance of using symmetric distribution for modeling these asymmetric. that is why the assuming normal joint distribution of returns is not suitable because of considering the linier dependence, and can be lead to inappropriate estimate of var. copula theo...

modeling dependence structure in financial economics is of paramount importance when estimating portfolio’s value at risk, since risk of an asset in addition to its own behavior is also dependent on the behavior of other assets in the portfolio. application of joint distribution copula is one of the methods for incorporation dependence at lower and upper tail of returns’ distribution in financi...

We investigate the dynamic and asymmetric dependence structure between equity portfolios from the US and UK. We demonstrate the statistical significance of dynamic asymmetric copula models in modelling and forecasting market risk. First, we construct “high-minus-low" equity portfolios sorted on beta, coskewness, and cokurtosis. We find substantial evidence of dynamic and asymmetric dependence b...

Common negative extreme variations in returns are prevalent in international equity markets. This has been widely documented with statistical tools such as exceedance correlation, extreme value theory, and Gaussian bivariate GARCH or regime-switching models. We point to limits of these tools to characterize extreme dependence and propose an alternative regime-switching copula model that include...