Return-based Style Analysis with Time-varying Exposures
AbstractThis paper focuses on the estimation of mutual fund styles by return-based style analysis. Usually, the investment style is assumed to be either constant through time, or time variation is implicitly accounted for by using rolling regressions. The former assumption is often contradicted by data analysis, and the latter is inefficient due to its ad hoc chosen window size. We propose to use the Kalman filter to explicitly model time-varying exposures of mutual funds. This leads to a testable model and more efficient use of the data, which reduces the influence of spurious correlation between mutual fund returns and style indices.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 125.
Date of creation: 01 Apr 2001
Date of revision:
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Kalman Filter; Mutual Funds; Style Analysis;
Other versions of this item:
- Laurens Swinkels & Pieter Van Der Sluis, 2006. "Return-based style analysis with time-varying exposures," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 529-552.
- Swinkels, L.A.P. & Sluis, P.J. van der, 2001. "Return-Based Style Analysis with Time-Varying Exposures," Discussion Paper 2001-96, Tilburg University, Center for Economic Research.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
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