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Evaluating Portfolio Performance with Stochastic Discount Factors

Author

Listed:
  • Dahlquist, Magnus

    (Department of Finance)

  • Söderlind, Paul

    (Department of Economics)

Abstract

This paper provides evidence on the use of stochastic discount factors in the evaluation of portfolio performance. First we discuss evaluation in this setting, and relates it to traditional mean-variance analysis. We then use Monte Carlo experiments to examine the small sample properties of generalized method of moment (GMM) estimators, Both Size and power properties are characterized for various GMM approaches. Finally, we apply the methodology to Swedish-based mutual funds. We offer an evaluation allowing for passive as well as dynamic strategies. The conditional evaluation indicates that funds may have had superior performance over the sample period.

Suggested Citation

  • Dahlquist, Magnus & Söderlind, Paul, 1997. "Evaluating Portfolio Performance with Stochastic Discount Factors," SSE/EFI Working Paper Series in Economics and Finance 175, Stockholm School of Economics, revised 01 Sep 1998.
    • Handle: RePEc:hhs:hastef:0175
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    Cited by:

    1. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 969-1010, Elsevier.
    2. Bekaert, Geert & Liu, Jun, 2001. "Conditioning Information and Variance on Pricing Kernals," University of California at Los Angeles, Anderson Graduate School of Management qt9m7392rq, Anderson Graduate School of Management, UCLA.
    3. Robert F. Dittmar, 2002. "Nonlinear Pricing Kernels, Kurtosis Preference, and Evidence from the Cross Section of Equity Returns," Journal of Finance, American Finance Association, vol. 57(1), pages 369-403, February.
    4. Engstrom, Stefan, 2003. "Costly information, diversification and international mutual fund performance," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 463-482, September.
    5. Antonio Diez de los Rios & René Garcia, 2011. "The option CAPM and the performance of hedge funds," Review of Derivatives Research, Springer, vol. 14(2), pages 137-167, July.
    6. Potì, Valerio & Wang, DengLi, 2010. "The coskewness puzzle," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1827-1838, August.
    7. Jonathan Fletcher & Andrew Marshall, 2005. "The Performance of UK International Unit Trusts," European Financial Management, European Financial Management Association, vol. 11(3), pages 365-386, June.
    8. Jonas Gusset & Heinz Zimmermann, 2014. "Why not use SDF rather than beta models in performance measurement?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(4), pages 307-336, November.
    9. Fletcher, Jonathan & Kihanda, Joseph, 2005. "An examination of alternative CAPM-based models in UK stock returns," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 2995-3014, December.
    10. Ayadi, Mohamed A. & Kryzanowski, Lawrence, 2005. "Portfolio performance measurement using APM-free kernel models," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 623-659, March.
    11. 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.
    12. Abel, Ernest & Fletcher, Jonathan, 2004. "An empirical examination of UK emerging market unit trust performance," Emerging Markets Review, Elsevier, vol. 5(4), pages 389-408, December.
    13. Bessler, Wolfgang & Drobetz, Wolfgang & Zimmermann, Heinz, 2007. "Conditional Performance Evaluation for German Mutual Equity Funds," Working papers 2007/22, Faculty of Business and Economics - University of Basel.
    14. Newton, David & Platanakis, Emmanouil & Stafylas, Dimitrios & Sutcliffe, Charles & Ye, Xiaoxia, 2021. "Hedge fund strategies, performance &diversification: A portfolio theory & stochastic discount factor approach," The British Accounting Review, Elsevier, vol. 53(5).
    15. Fletcher, Jonathan, 2021. "Evaluating the performance of U.S. international equity closed-end funds," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    16. Heber Farnsworth & Wayne E. Ferson & David Jackson & Steven Todd, 2002. "Performance Evaluation with Stochastic Discount Factors," NBER Working Papers 8791, National Bureau of Economic Research, Inc.
    17. Dahlquist, Magnus & Engström, Stefan & Söderlind, Paul, 1999. "Performance and Characteristics of Swedish Mutual Funds 1993-97," CEPR Discussion Papers 2166, C.E.P.R. Discussion Papers.
    18. Dong‐Hyun Ahn & H. Henry Cao & Stéphane Chrétien, 2009. "Portfolio Performance Measurement: a No Arbitrage Bounds Approach," European Financial Management, European Financial Management Association, vol. 15(2), pages 298-339, March.
    19. Elton, Edwin J. & Gruber, Martin J., 2013. "Mutual Funds," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1011-1061, Elsevier.
    20. DeRoon, Frans A. & Nijman, Theo E., 2001. "Testing for mean-variance spanning: a survey," Journal of Empirical Finance, Elsevier, vol. 8(2), pages 111-155, May.
    21. Keith Pilbeam & Hamish Preston, 2019. "An Empirical Investigation of the Performance of Japanese Mutual Funds: Skill or Luck?," IJFS, MDPI, vol. 7(1), pages 1-16, January.
    22. Gutierrez, Roberto Jr. & Prinsky, Christo A., 2007. "Momentum, reversal, and the trading behaviors of institutions," Journal of Financial Markets, Elsevier, vol. 10(1), pages 48-75, February.
    23. Min, Byoung-Kyu & Kim, Tong Suk, 2012. "Are good-news firms riskier than bad-news firms?," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1528-1535.
    24. Chrétien, Stéphane & Kammoun, Manel, 2024. "Representative investors versus best clienteles: Performance evaluation disagreement in mutual funds," International Review of Financial Analysis, Elsevier, vol. 95(PB).

    More about this item

    Keywords

    GMM estimators; intersection and spanning tests; mean- variance analysis; mutual funds; small sample properties;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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