Improved Estimates of Higher-Order Comoments and Implications for Portfolio Selection

In the presence of non-normally distributed asset returns, optimal portfolio selection techniques require estimates for variance-covariance parameters, along with estimates for higher-order moments and comoments of the return distribution.

Author(s):

Lionel Martellini

Professor of Finance, EDHEC Business School

Volker Ziemann

French Ministry of Economy, Industry and Employment

This is a formidable challenge that severely exacerbates the dimensionality problem already present with mean-variance analysis. This paper extends the existing literature, which has mostly focused on the covariance matrix, by introducing improved estimators for the coskewness and cokurtosis parameters. We find that the use of these enhanced estimates generates a significant improvement in investors' welfare. We also find that it is only when improved estimators are used that portfolio selection with higher-order moments dominates mean-variance analysis from an out-of-sample perspective.
Pdf
Improved Estimates of Higher-Order Comoments and Implications for Portfolio Sele...
(-1.00 B)
Type: Working paper
Date: le 18/02/2010
Extra information : Pour plus d'informations, nous vous prions de vous adresser à Joanne Finlay, Direction de la recherche de l'EDHEC [ joanne.finlay@edhec.edu ] Les opinions exprimées sont celles des auteurs et n'engagent pas la responsabilité de l'EDHEC.
Research Cluster : Finance

See Also

SESC POMPEIA, A UNIQUE, HYBRID CULTURAL SPACE
News
- 16-01-2019
The fifth step of the Wide Open Project – a world tour of “positive ecosystems” – was...
How guest speaker talks provides unfiltered market insights?
News
- 11-01-2019
Eloi Foulon, MSc in Global & Sustainable Business student, shares his reaction to...
Scientific Beta named
News
- 09-01-2019
Scientific Beta is pleased to announce that it has won the prestigious Risk Award for "...
[Tell Me Your Research] Facing Family Business Challenges
News
- 20-12-2018
What are the most pressing issues facing family businesses today? The biggest challenge...