The aim of this paper is to estimate the tail dependence between stock index returns and foreign exchange rate returns for five selected East Asian economies (Hong Kong, Indonesia, South Korea, Singapore, and Taiwan). We apply the concept of copula to model the dependence structure, especially...

This article proposes a multi-factor approach to incorporate issuer default risk into basket credit linked note (BCLN) pricing based on the Gaussian copula. The numerical analysis demonstrates that the issuer default risk increases the fair coupon rate. Contradicting the common belief that a...

Recently, Serfling and Xiao (2007) extended the L-moment theory (Hosking, 1990) to the multivariate setting. In the present paper, we focus on the two-dimension random vectors to establish a link between the bivariate L-moments (BLM) and the underlying bivariate copula functions. This connection...

It is important to incorporate diverse heavy-tailed dependency between risks in estimating economic capital. Copulas can be a useful technique to capture dependence structure where extreme events occur simultaneously. Using the sample of U.S. property liability insurance industry, we examine the...

This paper studies the general multivariate dependence of a random vector using associated copulas. We extend definitions and results of positive dependence to the general dependence case. This includes associated tail dependence functions and associated tail dependence coefficients. We derive...

This paper introduces a new parametric copula family based on Fourier expansions and flexible enough to describe arbitrary dependence structures. We derive its various properties and show that it can be fit efficiently by the Fast Fourier Transform. We overcome the Fourier series' assumption of...

The correlation bias refers to the fact that claim subordination in the capital structure of the firm influences claim holders' preferred degree of asset correlation in portfolios held by the firm. Using the copula capital structure model, it is shown that the correlation bias shifts shareholder...

Assessing the extreme events is crucial in financial risk management. All risk managers and financial institutions want to know the risk of their portfolio under rare events scenarios. We illustrate a multivariate market risk estimating method which employs Monte Carlo simulations to estimate...