Modeling Skewness in Portfolio Choice

49 Pages Posted: 29 Nov 2020 Last revised: 7 Mar 2023

See all articles by Trung H. Le

Trung H. Le

State Bank of Vietnam - Banking Academy of Vietnam

Apostolos Kourtis

University of East Anglia (UEA) - Norwich Business School

Raphael N. Markellos

University of East Anglia (UEA) - Norwich Business School

Date Written: February 14, 2023

Abstract

We seek the best skewness models for portfolio choice decisions. To this end, we
compare the predictive ability and portfolio performance of several prominent skewness
models in a sample of ten international equity market indices. Overall, models that
employ information from the option markets outperform models that only rely on
stock returns. We propose an option-based skewness estimator that accounts for the
skewness risk premium. This estimator o ers the most informative forecasts of future
skewness, the lowest prediction errors and the best portfolio performance in most of
our tests.

Keywords: Skewness modeling, Skewness Risk Premium, Portfolio choice

JEL Classification: G11, C58

Suggested Citation

Le, Trung H. and Kourtis, Apostolos and Markellos, Raphael N., Modeling Skewness in Portfolio Choice (February 14, 2023). Available at SSRN: https://ssrn.com/abstract=3708200 or http://dx.doi.org/10.2139/ssrn.3708200

Trung H. Le

State Bank of Vietnam - Banking Academy of Vietnam ( email )

No.12, Chuaboc Street
Dong Da District
Hanoi, Hanoi 10000
Vietnam

Apostolos Kourtis (Contact Author)

University of East Anglia (UEA) - Norwich Business School ( email )

Norwich
NR4 7TJ
United Kingdom

Raphael N. Markellos

University of East Anglia (UEA) - Norwich Business School ( email )

Norwich
NR4 7TJ
United Kingdom

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
199
Abstract Views
1,006
Rank
309,791
PlumX Metrics