Realised Higher Moments: Theory and Practice

33 Pages Posted: 31 Jul 2012

See all articles by Jing Chen

Jing Chen

Cardiff University - School of Mathematics

Mike Buckle

University of Wales, Swansea - School of Business and Economics

Julian M. Williams

Durham Business School

Date Written: July 23, 2012

Abstract

This paper examines incorporation of higher moments in portfolio selection problems utilizing high frequency data. Our approach combines innovations from the realized volatility literature with a portfolio selection methodology utilising higher moments. We provide an empirical study of the measurement of higher moments from tick by tick data and implement the model for a selection of stocks from the DOW 30 over the time period 2005 to 2011. We demonstrate a novel estimator for moments and co-moments in the presence of microstructure noise.

Keywords: Higher Moments, Asset Allocation, Portfolio Management, Co-movement

JEL Classification: G14, G15, G17

Suggested Citation

Chen, Jing and Buckle, Mike J. and Williams, Julian M., Realised Higher Moments: Theory and Practice (July 23, 2012). Available at SSRN: https://ssrn.com/abstract=2120098 or http://dx.doi.org/10.2139/ssrn.2120098

Jing Chen

Cardiff University - School of Mathematics ( email )

Senghennydd Road
Cardiff, CF24 4AG
United Kingdom

Mike J. Buckle

University of Wales, Swansea - School of Business and Economics ( email )

Singleton Park
Swansea, Wales SA2 8PP
United Kingdom

Julian M. Williams (Contact Author)

Durham Business School ( email )

Mill Hill Lane
Durham, Durham DH1 3LB
United Kingdom