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Exponential Spectral Risk Measures


John Cotter


University College Dublin; Anderson School of Management

Kevin Dowd


Nottingham University Business School (NUBS)

2007


Abstract:     
Spectral risk measures are attractive risk measures as they allow the user to obtain risk measures that reflect their subjective risk-aversion. This paper examines spectral risk measures based on an exponential utility function, and finds that these risk measures have nice intuitive properties. It also discusses how they can be estimated using numerical quadrature methods, and how confidence intervals for them can be estimated using a parametric bootstrap. Illustrative results suggest that estimated exponential spectral risk measures obtained using such methods are quite precise in the presence of normally distributed losses.

Number of Pages in PDF File: 16

Keywords: spectral risk measures, risk aversion functions, exponential utility

JEL Classification: G15

working papers series


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Date posted: July 10, 2007  

Suggested Citation

Cotter, John and Dowd, Kevin, Exponential Spectral Risk Measures (2007). Available at SSRN: http://ssrn.com/abstract=998456 or http://dx.doi.org/10.2139/ssrn.998456

Contact Information

John Cotter
University College Dublin ( email )
Centre for Financial Markets
School of Business, Carysfort Avenue
Blackrock, Co. Dublin
Ireland
353 1 716 8900 (Phone)
353 1 283 5482 (Fax)
Anderson School of Management ( email )
110 Westwood Plaza
Los Angeles, CA 90095-1481
United States
001 310 825 2247 (Phone)
Kevin Dowd (Contact Author)
Nottingham University Business School (NUBS) ( email )
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom
Feedback to SSRN (Beta)


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