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Efficient estimation of a semiparametric characteristic-based factor model of security returns

Connor, Gregory and Hagmann, Matthias and Linton, Oliver (2007) Efficient estimation of a semiparametric characteristic-based factor model of security returns. EM/2007/524. Suntory and Toyota International Centres for Economics and Related Disciplines, London School of Economics and Political Science, London, UK.

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Identification Number: EM/2007/524

Abstract

This paper develops a new estimation procedure for characteristic-based factor models of security returns. We treat the factor model as a weighted additive nonparametric regression model, with the factor returns serving as time-varying weights, and a set of univariate non-parametric functions relating security characteristic to the associated factor betas. We use a time-series and cross-sectional pooled weighted additive nonparametric regression methodology to simultaneously estimate the factor returns and characteristicbeta functions. By avoiding the curse of dimensionality our methodology allows for a larger number of factors than existing semiparametric methods. We apply the technique to the three-factor Fama-French model, Carhart’s four-factor extension of it adding a momentum factor, and a five-factor extension adding an own-volatility factor. We found that momentum and ownvolatility factors are at least as important if not more important than size and value in explaining equity return comovements. We test the multifactor beta pricing theory against the Capital Asset Pricing model using a standard test, and against a general alternative using a new nonparametric test.

Item Type: Monograph (Discussion Paper)
Official URL: http://sticerd.lse.ac.uk/
Additional Information: © 2007 the authors
Subjects: H Social Sciences > HB Economic Theory
Sets: Collections > Economists Online
Departments > Economics
Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD)
Date Deposited: 10 Mar 2008 11:49
Last Modified: 01 Oct 2010 08:51
URI: http://eprints.lse.ac.uk/id/eprint/3775

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