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Tracking Problems, Hedge Fund Replication, and Alternative Beta

Author

Listed:
  • Thierry Roncalli

    (Lyxor Asset Management)

  • Guillaume Weisang

    (Bentley University)

Abstract

As hedge fund replication based on factor models has encountered growing interest among professionals and academics, and despite the launch of numerous products (indexes and mutual funds) in the past year, it has faced many critics. In this paper, we consider two of the main critiques, namely the lack of reactivity of hedge fund replication, its deficiency in capturing tactical allocations, and the lack of access to the alpha of hedge funds. To address these problems, we consider hedge fund replication as a general tracking problem which may be solved by means of Bayesian filters. Using the example provided by Roncalli and Teiletche (2008), we detail how the Kalman filter tracks changes in exposures, and show that it provides a replication methodology with a satisfying economic interpretation. Finally, we address the problem of accessing the pure alpha by proposing a core/satellite approach of alternative investments between high-liquid alternative beta and less liquid investments. Non-normality and non-linearities documented on hedge fund returns are investigated using the same framework in a companion paper [Roncalli and Weisang (2009)].

Suggested Citation

  • Thierry Roncalli & Guillaume Weisang, 2011. "Tracking Problems, Hedge Fund Replication, and Alternative Beta," Journal of Financial Transformation, Capco Institute, vol. 31, pages 19-29.
    • Handle: RePEc:ris:jofitr:1453
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    Cited by:

    1. Sam Nasypbek & Scheherazade S Rehman, 2011. "Explaining the returns of active currency managers," BIS Papers chapters, in: Bank for International Settlements (ed.), Portfolio and risk management for central banks and sovereign wealth funds, volume 58, pages 211-256, Bank for International Settlements.
    2. Clauss, Pierre & Roncalli, Thierry & Weisang, Guillaume, 2009. "Risk Management Lessons from Madoff Fraud," MPRA Paper 36754, University Library of Munich, Germany.
    3. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "On the Stratonovich – Kalman - Bucy filtering algorithm application for accurate characterization of financial time series with use of state-space model by central banks," MPRA Paper 50235, University Library of Munich, Germany.
    4. Andrew W. Lo & Mila Getmansky & Peter A. Lee, 2015. "Hedge Funds: A Dynamic Industry in Transition," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 483-577, December.
    5. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    6. Marcel Prokopczuk & Yingying Wu, 2013. "Estimating term structure models with the Kalman filter," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 4, pages 97-113, Edward Elgar Publishing.

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    Keywords

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    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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