IDEAS home Printed from https://ideas.repec.org/a/ris/jofitr/1453.html
   My bibliography  Save this article

Tracking Problems, Hedge Fund Replication, and Alternative Beta

Author

Listed:

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

  • Roncalli, Thierry & Weisang, Guillaume, 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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arnaud Doucet & Vladislav Tadić, 2003. "Parameter estimation in general state-space models using particle methods," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 55(2), pages 409-422, June.
    2. repec:dau:papers:123456789/812 is not listed on IDEAS
    3. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    4. Antonio Diez De Los Rios & René Garcia, 2011. "Assessing and valuing the nonlinear structure of hedge fund returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 193-212, March.
    5. Fung, William & Hsieh, David A., 1999. "A primer on hedge funds," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 309-331, September.
    6. Amin, Gaurav S. & Kat, Harry M., 2003. "Hedge Fund Performance 1990–2000: Do the “Money Machines” Really Add Value?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(02), pages 251-274, June.
    7. Roncalli, Thierry & Teiletche, Jérôme, 2008. "An Alternative Approach to Alternative Beta," Journal of Financial Transformation, Capco Institute, vol. 24, pages 43-52.
    8. Merton, Robert C, 1981. "On Market Timing and Investment Performance. I. An Equilibrium Theory of Value for Market Forecasts," The Journal of Business, University of Chicago Press, vol. 54(3), pages 363-406, July.
    9. Fung, W. & Hsieh, D A., 2007. "Hedge fund replication strategies: implications for investors and regulators," Financial Stability Review, Banque de France, issue 10, pages 55-66, April.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Clauss, Pierre & Roncalli, Thierry & Weisang, Guillaume, 2009. "Risk Management Lessons from Madoff Fraud," MPRA Paper 36754, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. 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.
    5. Mila Getmansky & Peter A. Lee & Andrew W. Lo, 2015. "Hedge Funds: A Dynamic Industry In Transition," NBER Working Papers 21449, National Bureau of Economic Research, Inc.
    6. Marcel Prokopczuk & Yingying Wu, 2013. "Estimating term structure models with the Kalman filter," Chapters,in: Handbook of Research Methods and Applications in Empirical Finance, chapter 4, pages 97-113 Edward Elgar Publishing.

    More about this item

    Keywords

    Tracking problem; hedge fund replication; alternative beta; global tactical asset allocation; Bayes filter; Kalman filter; particle filter; alpha.;

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:jofitr:1453. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Prof. Shahin Shojai). General contact details of provider: http://www.capco.com/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.