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Style Analysis Based on a General State Space Model and Monte Carlo Filter (Revised in May 2007)

Author

Listed:
  • Takao Kobayashi

    (Faculty of Economics, University of Tokyo)

  • Seisho Sato

    (Department of Prediction and Control, Institute of Statistical Mathematics)

  • Akihiko Takahashi

    (Faculty of Economics, University of Tokyo)

Abstract

This paper proposes a new approach to style analysis by utilizing a general state space model and Monte Carlo filter. In particular,We regard coefficients of style indices as state variables in the state space model and apply Monte Carlo filter as estimation method. Moreover, an empirical analysis using actual funds' data confirms the validity of our approach.

Suggested Citation

  • Takao Kobayashi & Seisho Sato & Akihiko Takahashi, 2005. "Style Analysis Based on a General State Space Model and Monte Carlo Filter (Revised in May 2007)," CARF F-Series CARF-F-032, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  • Handle: RePEc:cfi:fseres:cf032
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    File URL: https://www.carf.e.u-tokyo.ac.jp/old/pdf/workingpaper/fseries/4.pdf
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    References listed on IDEAS

    as
    1. Brown, Stephen J. & Goetzmann, William N., 1997. "Mutual fund styles," Journal of Financial Economics, Elsevier, vol. 43(3), pages 373-399, March.
    2. Louis K. C. Chan & Hsiu-Lang Chen & Josef Lakonishok, 2002. "On Mutual Fund Investment Styles," The Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1407-1437.
    3. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    4. Ferson, Wayne E & Schadt, Rudi W, 1996. "Measuring Fund Strategy and Performance in Changing Economic Conditions," Journal of Finance, American Finance Association, vol. 51(2), pages 425-461, June.
    5. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
    6. Busse, Jeffrey A, 1999. "Volatility Timing in Mutual Funds: Evidence from Daily Returns," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1009-1041.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2016. "Style Analysis with Particle Filtering and Generalized Simulated Annealing," CIRJE F-Series CIRJE-F-1010, CIRJE, Faculty of Economics, University of Tokyo.
    2. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2017. "Style analysis with particle filtering and generalized simulated annealing," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(02n03), pages 1-29, June.
    3. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2017. "This paper proposes a new approach to style analysis of mutual funds in a general state space framework with particle filtering and generalized simulated annealing (GSA). Speci cally, we regard the ex," CARF F-Series CARF-F-383, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. Akihiko Takahashi & Kyo Yamamoto, 2008. "Hedge Fund Replication," CIRJE F-Series CIRJE-F-592, CIRJE, Faculty of Economics, University of Tokyo.
    5. Akihiko Takahashi & Kyo Yamamoto, 2008. "Hedge Fund Replication ?Revised in November 2008, forthcoming in The Recent Trend of Hedge Fund Strategies)," CARF F-Series CARF-F-137, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

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