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Dynamics Evolution of Trading Strategies of Investors in Financial Market

Author

Listed:
  • Binghui Wu

    (Southeast University
    Lanzhou University of Finance and Economics)

  • Tingting Duan

    (Lanzhou University of Finance and Economics)

  • Jianmin He

    (Southeast University)

Abstract

This paper analyzes investors’ trading strategies based on the theory of evolutionarily stable strategies and replicator dynamics model. Under the assumptions closer to a real market, we reveal the relationships between the investor’s price anticipation and equilibrium sustained state. If the mean value of price deviation anticipated by investors is a negative value, there is one equilibrium sustained solution. And if the mean value of price deviation anticipated by investors is a positive value, one equilibrium sustained solution or two equilibrium sustained solutions are likely to appear in our models. This research is beneficial to evaluate differences in revenues between rational traders and noise traders, to understand dynamic evolutionary process of trading strategies, and to find equilibrium sustained solution. In addition, financial crisis as an exogenous factor is introduced into the evolutionary model. Based on theoretical analysis and simulation experiment, the results show that case 3 in theoretical analysis does not occur in the simulation after the outbreak of financial crisis, and case 1 and case 2 in theoretical analysis correspond to the different regions of the anticipated price deviation curves. Moreover, the changes of two equilibrium sustained solutions show opposite tendency characteristics with an increasing of the mean value of price deviation of risk asset. Relative to the existing research results, this paper distinguishes the different yield between risk assets and riskless assets, and considers the existence of transaction cost, assumes investors having different risk aversion coefficient, and takes financial crisis as an example to research the impacts of exogenous variables on investors’ trading strategies. Through comparative analysis, the conclusions drawn from simulation experiment are consistent with equilibrium sustained solutions in theoretical analysis.

Suggested Citation

  • Binghui Wu & Tingting Duan & Jianmin He, 2018. "Dynamics Evolution of Trading Strategies of Investors in Financial Market," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 743-760, April.
  • Handle: RePEc:kap:compec:v:51:y:2018:i:4:d:10.1007_s10614-016-9639-3
    DOI: 10.1007/s10614-016-9639-3
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    as
    1. Jun Ma, 2013. "Long-Run Risk and Its Implications for the Equity Premium Puzzle: New Evidence from a Multivariate Framework," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(1), pages 121-145, February.
    2. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    3. Robin K. Chou & George H. K. Wang & Yun‐Yi Wang, 2015. "The Impacts of Individual Day Trading Strategies on Market Liquidity and Volatility: Evidence from the Taiwan Index Futures Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(5), pages 399-425, May.
    4. Shapiro, Dmitry & Zhuang, Anan, 2015. "Dividends as a signaling device and the disappearing dividend puzzle," Journal of Economics and Business, Elsevier, vol. 79(C), pages 62-81.
    5. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    6. R. M. Harstad & R. Selten, 2014. "Bounded-rationality models:tasks to become intellectually competitive," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 5.
    7. Lorne Switzer & Alan Picard, 2015. "Idiosyncratic Volatility, Momentum, Liquidity, and Expected Stock Returns in Developed and Emerging Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 19(3), pages 169-221, September.
    8. Teppo Felin & Stuart Kauffman & Roger Koppl & Giuseppe Longo, 2014. "Economic Opportunity and Evolution: Beyond Landscapes and Bounded Rationality," Post-Print hal-01415115, HAL.
    9. 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.
    10. Elton, Edwin J. & Gruber, Martin J. & Blake, Christopher R. & Shachar, Or, 2013. "Why Do Closed-End Bond Funds Exist? An Additional Explanation for the Growth in Domestic Closed-End Bond Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 405-425, April.
    11. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    12. Thorsten Hens & Terje Lensberg & Klaus Schenk-Hoppé & Peter Wöhrmann, 2011. "An evolutionary explanation of the value premium puzzle," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 803-815, December.
    13. Sascha Füllbrunn & Ernan Haruvy, 2014. "The dividend puzzle: A laboratory investigation," Research in Experimental Economics, in: Experiments in Financial Economics, volume 16, pages 87-110, Emerald Group Publishing Limited.
    14. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    15. Hou, Kewei & Loh, Roger K., 2016. "Have we solved the idiosyncratic volatility puzzle?," Journal of Financial Economics, Elsevier, vol. 121(1), pages 167-194.
    16. Igor V. Evstigneev & Thorsten Hens & Klaus Reiner Schenk-Hoppé, 2011. "Survival and Evolutionary Stability of the Kelly Rule," World Scientific Book Chapters, in: Leonard C MacLean & Edward O Thorp & William T Ziemba (ed.), THE KELLY CAPITAL GROWTH INVESTMENT CRITERION THEORY and PRACTICE, chapter 20, pages 273-284, World Scientific Publishing Co. Pte. Ltd..
    17. G. Daniel & M. Arce & Todd Sandler, 2005. "The Dilemma of the Prisoners’ Dilemmas," Kyklos, Wiley Blackwell, vol. 58(1), pages 3-24, February.
    18. Evanthia Zervoudi & Spyros Spyrou, 2016. "The equity premium puzzle: new evidence on the optimal holding period and optimal asset allocation," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 8(1), pages 39-57, June.
    19. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2015. "Hidden Liquidity: Some New Light on Dark Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2227-2274, October.
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    Cited by:

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    2. Binghui Wu & Tingting Duan, 2019. "Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network," Complexity, Hindawi, vol. 2019, pages 1-12, June.

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    More about this item

    Keywords

    Limited rationality; Evolutionarily stable strategy; Equilibrium sustained solution; Investor anticipation;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles

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