EconPapers    
Economics at your fingertips  
 

Testing the Gaussian and Student's t copulas in a risk management framework

Alexandre Lourme and Frantz Maurer

Economic Modelling, 2017, vol. 67, issue C, 203-214

Abstract: This paper introduces a semiparametric framework for selecting either a Gaussian or a Student's t copula in a d-dimensional setting. We compare the two models using four different approaches: (i) four goodness-of-fit graphical plots, (ii) a bootstrapped correlation matrix generated in each scenario with the empirical correlation matrix used as a benchmark, (iii) Value-at-Risk (VaR) and Expected Shortfall (ES) as risk measures, and (iv) co-Value-at-Risk (CoVaR) and Marginal Expected Shortfall (MES) as co-risk measures. We illustrate this four-step procedure using a portfolio of daily returns of six international stock indices. The VaR results confirm that the t-based copula model is an attractive alternative to the Gaussian. The ES analysis is less conclusive, and indicates that risk managers should jointly use the risk measure as well as the copula model. The results highlight the importance of promoting stress testing rather than ES in the risk management industry, particularly in the aftermath of a financial crisis.

Keywords: Risk management; Elliptic copulas; Goodness-of fit tools; Value-at-Risk; Expected Shortfall; Co-risk measures (search for similar items in EconPapers)
JEL-codes: G21 C14 C15 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999316308483
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:67:y:2017:i:c:p:203-214

Access Statistics for this article

Economic Modelling is currently edited by S. Hall and P. Pauly

More articles in Economic Modelling from Elsevier
Series data maintained by Dana Niculescu ().

 
Page updated 2018-02-24
Handle: RePEc:eee:ecmode:v:67:y:2017:i:c:p:203-214