IDEAS home Printed from https://ideas.repec.org/a/eme/cfripp/v1y2011i4p388-407.html
   My bibliography  Save this article

The investor behavior and futures market volatility

Author

Listed:
  • Yun Wang
  • Renhai Hua
  • Zongcheng Zhang

Abstract

Purpose - The purpose of this paper is to examine whether the futures volatility could affect the investor behavior and what trading strategy different investors could adopt when they meet different information conditions. Design/methodology/approach - This study introduces a two‐period overlapping generation model (OLG) model into the future market and set the investor behavior model based on the future contract price, which can also be extended to complete and incomplete information. It provides the equilibrium solution and uses cuprum tick data in SHFE to conduct the empirical analysis. Findings - The two‐period OLG model based on the future market is consistent with the practical situation; second, the sufficient information investors such as institutional adopt reversal trading patterns generally; last, the insufficient information investors such as individual investors adopt momentum trading patterns in general. Research limitations/implications - Investor trading behavior is always an important issue in the behavioral finance and market supervision, but the related research is scarce. Practical implications - The conclusion shows that the investors' behavior in Chinese future market is different from the Chinese stock market. Originality/value - This study empirically analyzes and verifies the different types of trading strategies investors could; investors such as institutional ones adopt reversal trading patterns generally; while investors such as individual investors adopt momentum trading patterns in general.

Suggested Citation

  • Yun Wang & Renhai Hua & Zongcheng Zhang, 2011. "The investor behavior and futures market volatility," China Finance Review International, Emerald Group Publishing Limited, vol. 1(4), pages 388-407, September.
  • Handle: RePEc:eme:cfripp:v:1:y:2011:i:4:p:388-407
    DOI: 10.1108/20441391111167496
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/20441391111167496/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/20441391111167496/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/20441391111167496?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. repec:bla:jfinan:v:44:y:1989:i:3:p:681-96 is not listed on IDEAS
    3. Masahiro Watanabe, 2008. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Journal of Finance, American Finance Association, vol. 63(1), pages 229-272, February.
    4. J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1989. "The Size and Incidence of the Losses from Noise Trading," Journal of Finance, American Finance Association, vol. 44(3), pages 681-696, July.
    5. Jiang Wang, 1993. "A Model of Intertemporal Asset Prices Under Asymmetric Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 249-282.
    6. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    7. Uppal, Raman & Dumas, Bernard & Kurshev, Alexander, 2005. "What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?," CEPR Discussion Papers 5367, C.E.P.R. Discussion Papers.
    8. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    9. Spiegel, Matthew, 1998. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," The Review of Financial Studies, Society for Financial Studies, vol. 11(2), pages 419-447.
    10. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    11. Lovric, M. & Kaymak, U. & Spronk, J., 2008. "A Conceptual Model of Investor Behavior," ERIM Report Series Research in Management ERS-2008-030-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    12. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    Full references (including those not matched with items on IDEAS)

    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. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    2. Makarov, Igor & Rytchkov, Oleg, 2012. "Forecasting the forecasts of others: Implications for asset pricing," Journal of Economic Theory, Elsevier, vol. 147(3), pages 941-966.
    3. Masahiro Watanabe, 2002. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Yale School of Management Working Papers amz2636, Yale School of Management, revised 01 Jul 2002.
    4. Masahiro Watanabe, 2002. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Yale School of Management Working Papers amz2636, Yale School of Management, revised 01 Jul 2002.
    5. Tarek A. Hassan & Thomas M. Mertens, 2017. "The Social Cost of Near-Rational Investment," American Economic Review, American Economic Association, vol. 107(4), pages 1059-1103, April.
    6. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2009. "Equilibrium Portfolio Strategies in the Presence of Sentiment Risk and Excess Volatility," Journal of Finance, American Finance Association, vol. 64(2), pages 579-629, April.
    7. Zhifeng Cai, 2020. "Dynamic information acquisition and time-varying uncertainty," Departmental Working Papers 202002, Rutgers University, Department of Economics.
    8. Hung, Chiayu & Lai, Hung-Neng, 2022. "Information asymmetry and the profitability of technical analysis," Journal of Banking & Finance, Elsevier, vol. 134(C).
    9. Albagli, Elias, 2015. "Investment horizons and asset prices under asymmetric information," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 787-837.
    10. Yuval Arbel & Danny Ben-Shahar & Eyal Sulganik, 2009. "Mean Reversion and Momentum: Another Look at the Price-Volume Correlation in the Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 316-335, October.
    11. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    12. Si Chen, 2022. "Information and dynamic trading with the Gambler’s fallacy," Mathematics and Financial Economics, Springer, volume 16, number 1, March.
    13. Batista Soares, David & Borocco, Etienne, 2022. "Rational destabilization in commodity markets," Journal of Commodity Markets, Elsevier, vol. 25(C).
    14. Lei, Qin & Wu, Guojun, 2005. "Time-varying informed and uninformed trading activities," Journal of Financial Markets, Elsevier, vol. 8(2), pages 153-181, May.
    15. Grinblatt, Mark & Han, Bing, 2001. "The Disposition Effect and Momentum," University of California at Los Angeles, Anderson Graduate School of Management qt6qg5d62p, Anderson Graduate School of Management, UCLA.
    16. Li, Wei & Wang, Steven Shuye, 2010. "Daily institutional trades and stock price volatility in a retail investor dominated emerging market," Journal of Financial Markets, Elsevier, vol. 13(4), pages 448-474, November.
    17. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    18. Giovanni Cespa & Xavier Vives, 2015. "The Beauty Contest and Short-Term Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2099-2154, October.
    19. Nam, Jouahn & Wang, Jun & Zhang, Ge, 2008. "Strategic trading against retail investors with loss-aversion," International Review of Economics & Finance, Elsevier, vol. 17(1), pages 45-55.
    20. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2005. "What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?," NBER Working Papers 11803, National Bureau of Economic Research, Inc.

    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:eme:cfripp:v:1:y:2011:i:4:p:388-407. 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: Emerald Support (email available below). General contact details of provider: .

    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.