Testing for structural breaks in return-based style regression models
Douglas Stone and
Tae-Hwan Kim ()
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Yunmi Kim: University of Seoul
Douglas Stone: GLP Risk Management
Financial Markets and Portfolio Management, 2021, vol. 35, issue 1, No 2, 76 pages
Abstract It is important for investors to know not only the style of a fund manager in which they are interested, but also whether this style is constant or changing through time. The style of a fund manager can be estimated by the so-called style regression, and a great deal of research has been carried out to investigate the statistical properties of style regression methods. However, there has been no formal and statistically valid method to test for a change in manager style when the two typically imposed restrictions (sum-to-one and non-negativity) are jointly present in style analysis. In this study, we apply and extend the results of Andrews (Econometrica 61:821–856, 1993; Estimation when a parameter is on a boundary: theory and application, Yale University, 1997a; A simple counterexample to the bootstrap, Yale University, 1997b; Econometrica 67:1341–1383, 1999; Econometrica 68:399–405, 2000) to develop a valid testing procedure for the possibility wherein the location of any possible change does not need to be specified and the case of multiple shifts is accommodated. When our proposed test is applied to the Fidelity Magellan Fund, it is revealed that the fund’s style changed at least twice between 1988 and 2017.
Keywords: Structural shift; Boundary parameter; Maximum chow test; Style regression (search for similar items in EconPapers)
JEL-codes: C12 C18 (search for similar items in EconPapers)
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Working Paper: Testing for Structural Breaks in Return-Based Style Regression Models (2020)
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