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Return-based style analysis with time-varying exposures

  • Laurens Swinkels
  • Pieter Van Der Sluis

This paper focuses on the estimation of mutual fund styles by return-based style analysis. Often the investment style is assumed to be constant through time. Alternatively, time variation is sometimes implicitly accounted for by using rolling regressions when estimating the style exposures. The former assumption is often contradicted empirically, and the latter is inefficient due to its ad hoc chosen window size. Here, the Kalman filter is used to model time-varying exposures of mutual funds explicitly. 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. Several stylized examples indicate that more reliable style estimates can be obtained by modelling the style exposure as a random walk, and estimating the coefficients with the Kalman filter. The differences with traditional techniques are substantial in these stylized examples. The results from the empirical analyses indicate that the structural model estimated by the Kalman filter improves style predictions and influences results on performance measurement.

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Article provided by Taylor & Francis Journals in its journal The European Journal of Finance.

Volume (Year): 12 (2006)
Issue (Month): 6-7 ()
Pages: 529-552

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Handle: RePEc:taf:eurjfi:v:12:y:2006:i:6-7:p:529-552
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  1. Lakonishok, Josef, et al, 1991. "Window Dressing by Pension Fund Managers," American Economic Review, American Economic Association, vol. 81(2), pages 227-31, May.
  2. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
  3. Tae-Hwan Kim, 2005. "Asymptotic and Bayesian Confidence Intervals for Sharpe-Style Weights," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 3(3), pages 315-343.
  4. de Roon, Frans & Nijman, Theo E & ter Horst, Jenke, 2002. "Evaluating Style Analysis," CEPR Discussion Papers 3181, C.E.P.R. Discussion Papers.
  5. Ter Horst, J.R. & Nijman, T.E. & de Roon, F.A., 2004. "Evaluating style analysis," Other publications TiSEM 8a501733-7a06-4399-8a43-0, Tilburg University, School of Economics and Management.
  6. Huberman, Gur, 2001. "Familiarity Breeds Investment," Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 659-80.
  7. Kenneth R. French & James M. Poterba, 1991. "Investor Diversification and International Equity Markets," NBER Working Papers 3609, National Bureau of Economic Research, Inc.
  8. Heston, Steven L. & Rouwenhorst, K. Geert, 1994. "Does industrial structure explain the benefits of international diversification?," Journal of Financial Economics, Elsevier, vol. 36(1), pages 3-27, August.
  9. Fisher, Lawrence & Kamin, Jules H., 1985. "Forecasting Systematic Risk: Estimates of “Raw” Beta that Take Account of the Tendency of Beta to Change and the Heteroskedasticity of Residual Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(02), pages 127-149, June.
  10. Neil Shephard & Jurgen Doornik & Siem Jan Koopman, 1998. "Statistical algorithms for models in state space using SsfPack 2.2," Economics Series Working Papers 1998-W06, University of Oxford, Department of Economics.
  11. Durbin, James & Koopman, Siem Jan, 2001. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, number 9780198523543, March.
  12. Alexander, Gordon J. & Benson, P. George & Eger, Carol E., 1982. "Timing Decisions and the Behavior of Mutual Fund Systematic Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(04), pages 579-602, November.
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