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Evaluating style analysis

  • ter Horst, Jenke R.
  • Nijman, Theo E.
  • de Roon, Frans A.

In this paper we evaluate applications of (return based) style analysis.The portfolio and positivity constraints imposed by style analysis are useful in constructing mimicking portfolios without short positions.Such mimicking portfolios can be used, e.g., to construct efficient portfolios of mutual funds with desired factor loadings if the factor loadings in the underlying factor model are positively weighted portfolios.Under these conditions style analysis may also be used to determine a benchmark portfolio for performance measurement. Attribution of the returns on portfolios of which the actual composition is unobserved to speciffic asset classes on the basis of return based style analysis is attractive if moreover there are no additional cross exposures between the asset classes and if fund managers hold securities that on average have a beta of one relative to their own asset class.If such restrictions are not met, and in particular if the factor loadings do not generate a positively weighted portfolio, the restrictions inherent in return based style analysis distort the outcomes of standard regression approaches rather than that the analysis is improved.The size of the distortions is illustrated by considering empirical results on style analysis of US mutual funds.

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Article provided by Elsevier in its journal Journal of Empirical Finance.

Volume (Year): 11 (2004)
Issue (Month): 1 (January)
Pages: 29-53

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Handle: RePEc:eee:empfin:v:11:y:2004:i:1:p:29-53
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  1. de Roon, F.A. & Nijman, T.E., 1998. "Testing for mean-variance spanning : A survey," Discussion Paper 1998-132, Tilburg University, Center for Economic Research.
  2. Huberman, Gur & Kandel, Shmuel & Stambaugh, Robert F, 1987. " Mimicking Portfolios and Exact Arbitrage Pricing," Journal of Finance, American Finance Association, vol. 42(1), pages 1-9, March.
  3. Kim, Tae-Hwan & White, Halbert & Stone, Douglas, 2000. "Asymptotic and Bayesian Confidence Intervals for Sharpe Style Weights," University of California at San Diego, Economics Working Paper Series qt5h98h28m, Department of Economics, UC San Diego.
  4. Jobson, J D & Korkie, Bob, 1984. " On the Jensen Measure and Marginal Improvements in Portfolio Performance: A Note," Journal of Finance, American Finance Association, vol. 39(1), pages 245-51, March.
  5. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
  6. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1703, 08.
  7. Nijman, T.E. & de Roon, F.A., 2001. "Testing for mean-variance spanning : A survey," Other publications TiSEM 0159f80a-c61b-4519-b004-a, Tilburg University, School of Economics and Management.
  8. Treynor, Jack L & Black, Fischer, 1973. "How to Use Security Analysis to Improve Portfolio Selection," The Journal of Business, University of Chicago Press, vol. 46(1), pages 66-86, January.
  9. Ter Horst, J.R. & Nijman, T.E. & de Roon, F.A., 1998. "Performance analysis of international mutual funds incorporating market frictions," Discussion Paper 1998-51, Tilburg University, Center for Economic Research.
  10. William N. Goetzmann & Stephen J. Brown, 1998. "Mutual Fund Styles," Yale School of Management Working Papers ysm40, Yale School of Management.
  11. Cumby, Robert E & Glen, Jack D, 1990. " Evaluating the Performance of International Mutual Funds," Journal of Finance, American Finance Association, vol. 45(2), pages 497-521, June.
  12. Donald W. K. Andrews, 1999. "Estimation When a Parameter Is on a Boundary," Econometrica, Econometric Society, vol. 67(6), pages 1341-1384, November.
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