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Author:Swinkels, L.
Sluis, P.J. van der
Title:Return-based style analysis with time-varying exposures
Journal:European Journal of Finance
2006 : SEP/OCT, VOL. 12:6-7, p. 529-552
Index terms:stocks
risk sharing
investments
funds
estimation
models
Language:eng
Abstract:This paper's focus is on the estimation of mutual fund (here as: m-fds.) styles (as: st./sts.) by return-based style analysis. The Kalman filter (as: K-f.) is used to model time-varying exposures of m-fds. explicitly, leading to a testable model etc. Several stylized examples (as: s-expls.) indicate that more reliable st. estimates can be obtained by modelling the st. exposure as a random walk, and estimating the coefficients with the K-f. The differences with traditional techniques are substantial in these s-expls. The results from the empirical analyses indicate that the structural model estimated by the K-f. improves st. predictions and influences results on performance measurement.
SCIMA record nr: 265352
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