Institutional investors have significantly increased exposure to commodity futures especially oil futures after 2004 in a process called commodity market financialization, raising questions about the risk-sharing and price-discovery functions of the market. We propose an ARMA-GARCH R-vine copula...

This paper provides a framework for modeling the dependence structure in the foreign exchange market. We first employ generalized autoregressive heteroskedasticity models to estimate the marginal distributions of the exchange rates. The conditional copula is then applied to the marginal...

We introduce a new stochastic order for the tail dependence between random variables. We then study different measures of tail dependence which are monotone in the proposed order, thereby extending various known tail dependence coefficients from the literature. We apply our concepts in an...

Accurate estimation of different risk measures for financial portfolios is of utmost importance equally for financial institutions as well as regulators, however, many existing models fail to incorporate any high dimensional dependence structures adequately. To overcome this problem and capture...

Estimating the market risk is conditioned by the fat tail of the distribution of returns. But the tail index depends on the threshold of this distribution fat tail. We propose a methodology based on the decomposition of the series into positive outliers, Gaussian central part and negative...

This paper explores the properties of a family of bivariate copulas based on a new approach using the counter-monotonic shock method. The resulting copula covers the full range of negative dependence induced by one parameter. Expressions for the copula and density are derived and many...