Risk Premium: Insights Over the Threshold

Universidad Carlos III De Madrid Working Paper No. 06-28

Posted: 18 May 2006

See all articles by Jose L. B. Fernandes

Jose L. B. Fernandes

Universidade de Brasília

Juan Ignacio Peña

Universidad Carlos III de Madrid

Augusto Hasman

Charles III University of Madrid - Department of Business Administration

Multiple version iconThere are 2 versions of this paper

Date Written: September 2006

Abstract

The aim of this paper is twofold: First to test the adequacy of Pareto distributions to describe the tail of financial returns in emerging and developed markets, and second to study the possible correlation between stock market indices observed returns and return's extreme distributional characteristics measured by Value at Risk and Expected Shortfall. We test the empirical model using daily data from 41 countries, in the period from 1995 to 2005. The findings support the adequacy of Pareto distributions and the use of a log linear regression estimation of their parameters, as an alternative for the usually employed Hill's estimator. We also report a significant relationship between extreme distributional characteristics and observed returns, especially for developed countries.

Keywords: Expected Shortfall, Tail Risk, Pareto Distribution, Value at Risk

JEL Classification: G15

Suggested Citation

Fernandes, Jose Luiz Barros and Peña, Juan Ignacio and Hasman, Augusto, Risk Premium: Insights Over the Threshold (September 2006). Universidad Carlos III De Madrid Working Paper No. 06-28, Available at SSRN: https://ssrn.com/abstract=902812

Jose Luiz Barros Fernandes (Contact Author)

Universidade de Brasília ( email )

Campus Universitário Darcy Ribeiro
Brasília, Distrito Federal 70910-900
Brazil

Juan Ignacio Peña

Universidad Carlos III de Madrid ( email )

Avenida de Madrid, 126
Getafe, Madrid 28903
Spain

Augusto Hasman

Charles III University of Madrid - Department of Business Administration ( email )

Calle Madrid 126
Getafe, Madrid, Madrid 28903
Spain

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
990
PlumX Metrics