IDEAS home Printed from https://ideas.repec.org/p/tky/fseres/2005cf337.html
   My bibliography  Save this paper

Style Analysis Based on a General State Space Model and Monte Carlo Filter

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," CIRJE F-Series CIRJE-F-337, CIRJE, Faculty of Economics, University of Tokyo.
    • Handle: RePEc:tky:fseres:2005cf337
    as

    Download full text from publisher

    File URL: http://www.cirje.e.u-tokyo.ac.jp/research/dp/2005/2005cf337.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Brown, Stephen J. & Goetzmann, William N., 1997. "Mutual fund styles," Journal of Financial Economics, Elsevier, vol. 43(3), pages 373-399, March.
    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

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


    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 ?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.
    5. Akihiko Takahashi & Kyo Yamamoto, 2008. "Hedge Fund Replication," CIRJE F-Series CIRJE-F-592, CIRJE, Faculty of Economics, University of Tokyo.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Bryant, Lonnie L., 2012. "“Down but Not Out” mutual fund manager turnover within fund families," Journal of Financial Intermediation, Elsevier, vol. 21(4), pages 569-593.
    6. Jiang, George J. & Zaynutdinova, Gulnara R. & Zhang, Huacheng, 2021. "Stock-selection timing," Journal of Banking & Finance, Elsevier, vol. 125(C).
    7. Jung‐Soon Shin & Minki Kim & Dongjun Oh & Tong Suk Kim, 2019. "Do hedge funds time market tail risk? Evidence from option‐implied tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 205-237, February.
    8. Zheng, Yao & Osmer, Eric & Zhang, Ruiyi, 2018. "Sentiment hedging: How hedge funds adjust their exposure to market sentiment," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 147-160.
    9. Andrew J. Patton & Tarun Ramadorai, 2013. "On the High-Frequency Dynamics of Hedge Fund Risk Exposures," Journal of Finance, American Finance Association, vol. 68(2), pages 597-635, April.
    10. François-Éric Racicot & Raymond Théoret, 2022. "Tracking market and non-traditional sources of risks in procyclical and countercyclical hedge fund strategies under extreme scenarios: a nonlinear VAR approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    11. S. Pavithra & Parthajit Kayal, 2023. "A Study of Investment Style Timing of Mutual Funds in India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 49-72, March.
    12. Baibing Li & Ji Luo & Kai†Hong Tee, 2017. "The Market Liquidity Timing Skills of Debt†oriented Hedge Funds," European Financial Management, European Financial Management Association, vol. 23(1), pages 32-54, January.
    13. Matthew Spiegel & Harry Mamaysky, 2001. "A Theory of Mutual Funds: Optimal Fund Objectives and Industry Organization," Yale School of Management Working Papers amz2507, Yale School of Management.
    14. Cai, Biqing & Cheng, Tingting & Yan, Cheng, 2018. "Time-varying skills (versus luck) in U.S. active mutual funds and hedge funds," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 81-106.
    15. Cao, Charles & Chen, Yong & Liang, Bing & Lo, Andrew W., 2013. "Can hedge funds time market liquidity?," Journal of Financial Economics, Elsevier, vol. 109(2), pages 493-516.
    16. Horst, Jenke ter & Salganik, Galla, 2014. "Style chasing by hedge fund investors," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 29-42.
    17. Bryant, Lonnie L. & Liu, Hao-Chen, 2011. "Mutual fund industry management structure, risk and the impacts to shareholders," Global Finance Journal, Elsevier, vol. 22(2), pages 101-115.
    18. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    19. Luo, Ji & Tee, Kai-Hong & Li, Baibing, 2017. "Timing liquidity in the foreign exchange market: Did hedge funds do it?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 47-62.
    20. Broman, Markus S., 2016. "Liquidity, style investing and excess comovement of exchange-traded fund returns," Journal of Financial Markets, Elsevier, vol. 30(C), pages 27-53.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:tky:fseres:2005cf337. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CIRJE administrative office (email available below). General contact details of provider: https://edirc.repec.org/data/ritokjp.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.