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Copula modeling of tail dependence in the BRIC countries: Implications for value-at-risk and expected shortfall - Couverture souple

Hitzerd, Mathijs

 
9783848410460: Copula modeling of tail dependence in the BRIC countries: Implications for value-at-risk and expected shortfall
Couverture souple
ISBN 10 : 384841046X ISBN 13 : 9783848410460
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

This paper tests for differences between Value-at-Risk (VaR) and Expected Shortfall (ES) estimates from a euro-investor perspective. Using a copula approach compared to normality assumptions for the BRIC stock markets, using data between January 2007 and December 2010. VaR and ES are estimated using standard normality assumptions and with the use of copulas in which first the markets’ marginal distributions are estimated, after which the right copula for the indicated dependence between markets is determined based on maximum likelihood and Kendall’s tau estimates. Employing Monte Carlo simulation, this research finds that daily VaR estimates can be as much as 1.73% higher for those based on copulas. This effect is mainly caused by the presence of tail dependence in the markets under research. Similarly, ES estimates differ up to 4.19%. This research therefore indicates that risk measures based on normality assumptions severely underestimate risk in these markets due to their inability to take tail dependence into account.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This paper tests for differences between Value-at-Risk (VaR) and Expected Shortfall (ES) estimates from a euro-investor perspective. Using a copula approach compared to normality assumptions for the BRIC stock markets, using data between January 2007 and December 2010. VaR and ES are estimated using standard normality assumptions and with the use of copulas in which first the markets’ marginal distributions are estimated, after which the right copula for the indicated dependence between markets is determined based on maximum likelihood and Kendall’s tau estimates. Employing Monte Carlo simulation, this research finds that daily VaR estimates can be as much as 1.73% higher for those based on copulas. This effect is mainly caused by the presence of tail dependence in the markets under research. Similarly, ES estimates differ up to 4.19%. This research therefore indicates that risk measures based on normality assumptions severely underestimate risk in these markets due to their inability to take tail dependence into account.

Biographie de l'auteur

Mathijs Hitzerd studied Business Studies at the University of Amsterdam and graduated cum laude in 2011. During his college years he developed an interest in economics combined with mathematics. The combination is visible in his thesis: Copula Modeling of Tail Dependence in the BRIC countries: Implications for Value-at-Risk and Expected Shortfall.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
384841046X
ISBN 13 
9783848410460
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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