Unbiased Weighted Variance and Skewness Estimators for Overlapping Returns

10 Pages Posted: 17 Jul 2017 Last revised: 1 Jun 2018

See all articles by Stephen Michael Taylor

Stephen Michael Taylor

New Jersey Institute of Technology

Ming Fang

Martin Tuchman School of Management, New Jersey Institute of Technology

Date Written: July 10, 2017

Abstract

This article develops unbiased weighted variance and skewness estimators for overlapping return distributions. These estimators extend the variance estimation methods constructed in Bod et. al. and Lo and MacKinlay. In addition, they may be used in overlapping return variance or skewness ratio tests as in Charles and Darné and Wong. An example using synthetic overlapping returns from a model fit to data from the SPY S&P 500 exchange traded fund is given in order to demonstrate under which circumstances the unbiased correction becomes significant in skewness estimation. Finally, we compare the effect of the HAC weighting schemes of Andrews as a function of sample size and overlapping return window length.

Keywords: overlapping returns, unbiased skewness, asset returns, weighted estimator, variance ratio test

Suggested Citation

Taylor, Stephen Michael and Fang, Ming, Unbiased Weighted Variance and Skewness Estimators for Overlapping Returns (July 10, 2017). Available at SSRN: https://ssrn.com/abstract=2999673 or http://dx.doi.org/10.2139/ssrn.2999673

Stephen Michael Taylor (Contact Author)

New Jersey Institute of Technology ( email )

University Heights
Newark, NJ 07102
United States

Ming Fang

Martin Tuchman School of Management, New Jersey Institute of Technology ( email )

United States

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