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Great Investors: Their Methods, Results and Evaluation

In: GREAT INVESTMENT IDEAS

Author

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  • Olivier Gergaud
  • William T. Ziemba

Abstract

We discuss the records of some great investors and hedge fund managers. Their graphs of wealth over time leads us to a search for smooth monotone paths and how we might fairly evaluate superior as opposed to average investors. Some investors prefer high long run growth and accept bumps, rather than smooth wealth paths and lower growth. These include some Kelly criterion investors such as Buffett, Keynes and Soros who have concentrated portfolios with few asset positions. Earlier, Ziemba (2005), following an idea in Ziemba and Schwartz (1991), proposed a modification of the ordinary normal distribution based Sharpe ratio to evaluate right skewed great investor portfolios. This measure only counts losses and is useful in evaluating superior investors such as the Renaissance Medallion hedge fund which has a high rating by the modified downside symmetric Sharpe ratio as opposed to a modest rating with the ordinary Sharpe ratio. Using the University of Massachusetts hedge fund database, we show some funds with superior records and from this evaluation learn more about the properties of the DSSR and the modified downside symmetric information ratio (DISR).

Suggested Citation

  • Olivier Gergaud & William T. Ziemba, 2016. "Great Investors: Their Methods, Results and Evaluation," World Scientific Book Chapters, in: GREAT INVESTMENT IDEAS, chapter 9, pages 175-212, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789813144385_0009
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    Citations

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    Cited by:

    1. Matthew Oldham, 2019. "Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective," Complexity, Hindawi, vol. 2019, pages 1-21, July.
    2. William T. Ziemba, 2013. "Portfolio optimization: theory and practical implementation," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 2, pages 45-72, Edward Elgar Publishing.
    3. Firuz Kamalov, 2019. "Forecasting significant stock price changes using neural networks," Papers 1912.08791, arXiv.org.

    More about this item

    Keywords

    Investment Management; Portfolio Theory and Practice; Great Investors; Stock Market Anomalies; Evaluation Theory; Portfolio Performance; Stock Market Performance;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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