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Investor behavior and volatility of futures market: A theory and empirical study based on the OLG model


Investor trading behaviors are always an important issue in behavioral finance and market supervision. This study examines the relationship between investor behavior and future market volatility. We first introduce a two-period OLG model into the futures market, and develop an investor behavior model based on future contract price. We then extend the model to two scenarios: complete and incomplete information. We provide the equilibrium solution, and develop two hypotheses, which are tested with cuprum tick data in Shanghai Futures Exchange (SHFE). Empirical results show that the two-period OLG model for future market is consistent with the market situation in China. More specifically, investors with sufficient information such as institutional investors usually adopt the contrarian trading strategy, whereas investors with insufficient information, e.g., individual investors, usually adopt the momentum trading strategy. These findings reveal that investor behaviors in the Chinese futures market are different from those of in the Chinese stock market.


  1. Barberis, N., Huang, M., & Santos, T. 2001. Prospect theory and asset prices. Quarterly Journal of Economics, 116(2): 1–63.

  2. Barberis, N., Shleifer, A., & Vishny, R. 1998. A model of investor sentiment. Journal of Financial Economics, 49(1): 307–343.

  3. Campell, J. 1993. Noise trading and stock price behavior. Review of Economic Studies, 60(2): 1–34.

  4. Chan, K., Narasimhan, J., & Josef, L. 1996. Momentum Strategies. The Journal of Finance, 51(3): 1681–1713.

  5. Chen, R. 陈蓉, & Zheng, Z. 郑振龙. 2008. 期货价格能否预测未来的现货价格 (Can futures price indicate the spot price?) 国际金融研究 (Journal of International Financial Studies), 30(9): 70–74.

  6. Chen, R. 陈蓉, & Zheng, Z. 郑振龙. 2009. 结构突变、推定预期与风险溢酬 (Structural changes, presumptive expectations and risk premium). 世界经济 (World Economy), 28(6): 64–76.

  7. Daniel, K., Hirshleifer, D., & Subrahmanyam, A. 1998. Investor psychology and security market under-and overreactions. The Journal of Finance, 45(6): 1839–1868.

  8. De Long, J. B., Shleifer, A., Summers, L., & Waldmann, R. 1989. The size and incidence of the losses from noise trading. Journal of Finance, 44(1): 681–696.

  9. De Long, J. B., Shleifer, A., Summers, L., & Waldmann, R. 1990a. Noise trading risk in financial markets. Journal of Political Economy, 98(5): 703–738.

  10. De Long, J. B., Shleifer, A., Summers, L., & Waldmann, R. 1990b. Positive feedback investment strategies and destabilizing rational speculation. Journal of Finance, 45(2): 375–395.

  11. Deng, M. 2006. The investor behavior and stock price behavior. Journal of Banking and Finance, 36(6): 1–31.

  12. Dumas, B., Kurshev, A., & Uppal, R. 2005. What can rational investors do about excessive volatility and sentiment fluctuations? Swiss Finance Institute Research Paper Series, 1–45.

  13. Engle, C. 1996. The forward discount anomaly and the risk premium: A survey of recent evidence. Journal of Empirical Finance, 24(3): 123–192.

  14. Hokkio, C., & Rush, M. 1989. Market efficiency and cointegration: An application to the sterling and deutschemark exchange markets. Journal of International Money and Finance, 32(8): 75–88.

  15. Hua, R. 华仁海, & Zhong, W. 钟伟俊. 2002. 对我国期货市场量价关系的实证分析 (The empirical analysis of relation of quantity and price in China’s forward market). 数量经济与技术经济研究 (The Journal of Quantitative & Technical Economics), 15(6): 119–121.

  16. Jegadeesh, N., & Titman, S. 1993. Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1): 65–91.

  17. Kong, D. 孔东民. 2009. 信念、交易行为与资产价格波动: 理论与实证 (Belief, trading behavior and asset volatility: theory and empirical studies). 金融学季刊 (Quarterly Journal of Finance), 3(1): 1–28.

  18. Leuthold, R. M. 1974. The price performance on the futures markets of a nonstorable commodity. American Journal of Agricultural Economics, 56(1): 271–290.

  19. Martin, L., & Garcia, P. 1981. The Price-forecasting performance of futures markets for live cattle and hogs: A disaggregated analysis. American Journal of Agricultural Economics, 51(2): 63–84.

  20. Shiller, R. S. 1981. The use of volatility measures in assessing market efficiency. Journal of Finance, 36(2): 291–304.

  21. Spiegel, M. 1998. Stock price volatility in a multiple security overlapping generations model. Review of Financial Studies, 11(2): 419–447.

  22. Szyszka, A. 2008. Generalized behavioral asset pricing model. Working paper, Poznan University of Economics.

  23. Wang, C. Y. 2003. The behavior and performance of major types of futures traders. The Journal of Futures Markets, 23(1): 1–31.

  24. Wang, J. 1993. A model of intertemporal asset prices under asymmetric information. Review of Economic Studies, 60(3): 249–282.

  25. Wang, J. 1994. A model of competitive stock trading volume. Journal of Political Economy, 102(1): 127–168.

  26. Wang, Y. 王永宏, & Zhao, X. 赵学军. 2001. 中国股市“惯性策略”和“反转策略”的实证分析 (Empirical analysis on momentum strategies and contrarian strategies in Chinese stock market). 经济研究 (Economic Research Journal), (6): 56–89.

  27. Watanabe, M. 2008. Price volatility and investor behavior in an overlapping generation model with information asymmetry. The Journal of Finance, 63(1): 229–272.

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Correspondence to Yun Wang.

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  • investor behavior
  • overlapping generation model
  • momentum trading
  • contrarian trading