Understanding the relationships among multivariate assets would help one greatly about how best to position one’s investments and enhance one’s financial risk protection. We present a new method to model parametrically the dependence structure of stock index returns through a continuous distribution function, which links an n‐dimensional density to its one‐dimensional margins. The resulting multivariate model could be used in a wide range of financial applications. Focusing on risk management, we show that a misspecification of the dependence structure introduces, on average, an error in Value‐at‐Risk estimates.ou
The dependence structure in multivariate financial time series is of great importance in portfolio m...
textabstractThe dependence between asset returns varies. Its strength can become stronger or weaker....
This paper presents a model for the joint distribution of a portfolio by inferring extreme movements...
This article presents a general framework for identifying and modeling the joint-tail distribution b...
This article presents a general framework for identifying and modeling the joint-tail distribution b...
Dependence modelling and estimation is a key issue in the assessment of financial risk. It is commo...
Financial variables such as asset returns in the massive market contain various hierarchical and hor...
To evaluate the aggregate risk in a financial or insurance portfolio, a risk analyst has to calculat...
Financial variables such as asset returns in the massive mar-ket contain various hierarchical and ho...
Cahier de Recherche du Groupe HEC Paris, n° 719In the finance literature, cross-sectional dependence...
Dependence modelling and estimation is a key issue in the assessment of portfolio risk. When measuri...
A central problem for regulators and risk managers concerns the risk assessment of an aggregate port...
A multivariate regular varying distribution can be characterized by its marginals and a finite measu...
In this thesis, we try to provide a broad econometric analysis of a class of risk measures, distort...
International audienceThe minimization of some multivariate risk indicators may be used as an alloca...
The dependence structure in multivariate financial time series is of great importance in portfolio m...
textabstractThe dependence between asset returns varies. Its strength can become stronger or weaker....
This paper presents a model for the joint distribution of a portfolio by inferring extreme movements...
This article presents a general framework for identifying and modeling the joint-tail distribution b...
This article presents a general framework for identifying and modeling the joint-tail distribution b...
Dependence modelling and estimation is a key issue in the assessment of financial risk. It is commo...
Financial variables such as asset returns in the massive market contain various hierarchical and hor...
To evaluate the aggregate risk in a financial or insurance portfolio, a risk analyst has to calculat...
Financial variables such as asset returns in the massive mar-ket contain various hierarchical and ho...
Cahier de Recherche du Groupe HEC Paris, n° 719In the finance literature, cross-sectional dependence...
Dependence modelling and estimation is a key issue in the assessment of portfolio risk. When measuri...
A central problem for regulators and risk managers concerns the risk assessment of an aggregate port...
A multivariate regular varying distribution can be characterized by its marginals and a finite measu...
In this thesis, we try to provide a broad econometric analysis of a class of risk measures, distort...
International audienceThe minimization of some multivariate risk indicators may be used as an alloca...
The dependence structure in multivariate financial time series is of great importance in portfolio m...
textabstractThe dependence between asset returns varies. Its strength can become stronger or weaker....
This paper presents a model for the joint distribution of a portfolio by inferring extreme movements...