Abstract

 


 



Operational Risk Modeling: An Evaluation of Competing Strategies


Sandra Paterlini


EBS Universität für Wirtschaft und Recht

Stefan Mittnik


University of Kiel - Institute of Statistics & Econometrics; Ludwig-Maximilians-Universität Munich - Faculty of Economics; CESifo (Center for Economic Studies and Ifo Institute for Economic Research)

Tina Yener


Ludwig Maximilians University of Munich

April 1, 2010

CAREFIN Research Paper No. 06/2010

Abstract:     
Being still in its early stages, operational risk modeling has, so far, mainly been concentrated on the marginal distributions of frequencies and severities within the context of the Loss Distribution Approach (LDA). A realistic quantitative model, however, should be capable of modeling the characteristics of the loss distribution while providing stable estimates, incorporating dependencies and overcoming the overly simplistic assumption of a perfect positive correlation among operational losses. The scarcity of available real-world data has prevented the development of best-practice guidelines among practitioners. In this study, drawing on a fairly large real-world data set, we analyze the effects of competing state-of-art strategies in univariate and multivariate modeling for estimating aggregate risk capital.

Number of Pages in PDF File: 50

Keywords: Mutual funds, Expense ratios, Price sensitivity

JEL Classification: G11, G23

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Date posted: March 30, 2011  

Suggested Citation

Paterlini, Sandra, Mittnik, Stefan and Yener, Tina, Operational Risk Modeling: An Evaluation of Competing Strategies (April 1, 2010). CAREFIN Research Paper No. 06/2010. Available at SSRN: http://ssrn.com/abstract=1798614

Contact Information

Sandra Paterlini (Contact Author)
EBS Universität für Wirtschaft und Recht ( email )
Gustav-Stresemann-Ring 3
65189 Wiesbaden, Hessen
Germany
Stefan Mittnik
University of Kiel - Institute of Statistics & Econometrics ( email )
Olshausenstr. 40
Kiel, Schleswig-Holstein 24118
Germany
Ludwig Maximilians University of Munich - Faculty of Economics ( email )
Akademiestr.1/III
Munich, D-80539
Germany
CESifo (Center for Economic Studies and Ifo Institute for Economic Research)
Poschinger Str. 5
Munich, DE-81679
Germany
Tina Yener
Ludwig Maximilians University of Munich ( email )
Ludwigstr. 33
Munchen, D-80539
Germany
HOME PAGE: http://www.stat.uni-muenchen.de/
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