We propose a tail dependence based network approach to study systemic risk in a network of systemically important financial institutions (SIFIs). We utilize a flexible factor copula-based method which allows us to measure the level of extreme risk in a portfolio when dependence is driven by one...

Aim of this research paper it to develop an alternative model for portfolio credit risk to those widely used - CreditRisk+ and CreditMetrics. The model aspires to patch the usual weak points of portfolio credit models and also is easy to implement. General engine relies on one-factor copula...

Recent literature deals with bounds on the Value-at-Risk (VaR) of risky portfolios when only the marginal distributions of the components are known. In this paper we study Value-at-Risk bounds when the variance of the portfolio sum is also known, a situation that is of considerable interest in...

In this paper we give a resume of the correlation concept that underlies the models for credit risk measurement, for the rating of structured products, for the pricing of (tranches of) structured products, and for Basel II capital charges. We discuss how securitization has changed the risk...

We investigate default probabilities and default correlations of Merton-type credit portfolio models in stress scenarios where a common risk factor is truncated. The analysis is performed in the class of elliptical distributions, a family of light-tailed to heavy-tailed distributions...

In this paper we consider a parametric Weibull mixture cure model for modeling time to default on a personal loan portfolio in presence of disproportionate hazard rate. The main contribution of this paper is to evidence that mixture cure models are appropriate for non proportional sceneries,...

Several models of how to price synthetic CDOs are presented. The study focuses on comparison of classical Gaussian copula with NIG copula, double t-copula and gaussian stochastic correlation model. Because the the t-copula is technically the most demanding of the presented approaches and usually...

We describe a model that takes into account the tail dependence present in a large set of historical risk factor data using the modern concept of copulas. We extend the popular t-copula to obtain a new grouped t-copula which describes more accurately the dependence among risk factors of...

The level of capital requirement generated by the IRB approach depends crucially on the asset correlation, a parameter that enters the regulatory risk weight formula and is determined by the Regulators. Several studies have estimated the asset correlations and found that the empirical values are...