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.
Auteur(s) :
Professor of Finance, EDHEC Business School
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.
| Type : | Working paper |
|---|---|
| Date : | le 18/02/2010 |
| Pôle de recherche | Finance |
A voir également
A propos de l'EDHEC
Implantée à Lille, Nice, Paris, Londres et Singapour, l'EDHEC est l'une des 10 meilleures écoles de commerce d'Europe. Résolument internationale et directement connectée au monde des affaires, elle est reconnue pour l'excellence de sa recherche et sa capacité à former des entrepreneurs et des managers capables de faire bouger les lignes.
Véritable laboratoire d'idées, elle produit des solutions innovantes reconnues par les entreprises. Ses travaux de recherche irriguent son enseignement fondé sur la culture du «build people to build business» et du « learning by doing ».
