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Threshold Asymmetries in Equity Return Distributions: Statistical Tests and Investment Implications

Threshold Asymmetries in Equity Return Distributions: Statistical Tests and Investment Implications Abstract In this paper we investigate asymmetries in time-varying means, volatilities, correlations, and betas of equity returns in a multivariate threshold framework. We consider alternative specifications in which the threshold variable is based on well established equity pricing factors and predictors. We find strong threshold effects with respect to market excess return, value premium, and term spread. Our results indicate that the threshold model based on the market excess return provides a flexible and computationally inexpensive specification for modeling asymmetries. We test significance of specific forms of asymmetries using subsampling methods. We compare performance of the proposed threshold model with a variety of alternatives in an out-of-sample setup and find that the threshold model performs remarkably well, especially for investors with relatively high risk aversion. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Studies in Nonlinear Dynamics & Econometrics de Gruyter

Threshold Asymmetries in Equity Return Distributions: Statistical Tests and Investment Implications

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References (36)

Publisher
de Gruyter
Copyright
Copyright © 2012 by the
ISSN
1558-3708
eISSN
1558-3708
DOI
10.1515/1558-3708.1799
Publisher site
See Article on Publisher Site

Abstract

Abstract In this paper we investigate asymmetries in time-varying means, volatilities, correlations, and betas of equity returns in a multivariate threshold framework. We consider alternative specifications in which the threshold variable is based on well established equity pricing factors and predictors. We find strong threshold effects with respect to market excess return, value premium, and term spread. Our results indicate that the threshold model based on the market excess return provides a flexible and computationally inexpensive specification for modeling asymmetries. We test significance of specific forms of asymmetries using subsampling methods. We compare performance of the proposed threshold model with a variety of alternatives in an out-of-sample setup and find that the threshold model performs remarkably well, especially for investors with relatively high risk aversion.

Journal

Studies in Nonlinear Dynamics & Econometricsde Gruyter

Published: Dec 12, 2012

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