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The Leverage Effect on Wealth Distribution in a Controllable Laboratory Stock Market

Author

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  • Chenge Zhu
  • Guang Yang
  • Kenan An
  • Jiping Huang

Abstract

Wealth distribution has always been an important issue in our economic and social life, since it affects the harmony and stabilization of the society. Under the background of widely used financial tools to raise leverage these years, we studied the leverage effect on wealth distribution of a population in a controllable laboratory market in which we have conducted several human experiments, and drawn the conclusion that higher leverage leads to a higher Gini coefficient in the market. A higher Gini coefficient means the wealth distribution among a population becomes more unequal. This is a result of the ascending risk with growing leverage level in the market plus the diversified trading abilities and risk preference of the participants. This work sheds light on the effects of leverage and its related regulations, especially its impact on wealth distribution. It also shows the capability of the method of controllable laboratory markets which could be helpful in several fields of study such as economics, econophysics and sociology.

Suggested Citation

  • Chenge Zhu & Guang Yang & Kenan An & Jiping Huang, 2014. "The Leverage Effect on Wealth Distribution in a Controllable Laboratory Stock Market," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-10, June.
    • Handle: RePEc:plo:pone00:0100681
    DOI: 10.1371/journal.pone.0100681
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    References listed on IDEAS

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    1. J. Doyne Farmer, 2002. "Market force, ecology and evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(5), pages 895-953, November.
    2. Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2012. "Leverage causes fat tails and clustered volatility," Quantitative Finance, Taylor & Francis Journals, vol. 12(5), pages 695-707, February.
    3. Luca Agnello & Ricardo M. Sousa, 2012. "Fiscall Adjustments and Income Inequality:A First Assessment," NIPE Working Papers 19/2012, NIPE - Universidade do Minho.
    4. W. Brian Arthur, 1994. "Inductive Reasoning, Bounded Rationality and the Bar Problem," Working Papers 94-03-014, Santa Fe Institute.
    5. Cont, Rama & Bouchaud, Jean-Philipe, 2000. "Herd Behavior And Aggregate Fluctuations In Financial Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 4(2), pages 170-196, June.
    6. Paolo Laureti & Peter Ruch & Joseph Wakeling & Yi-Cheng Zhang, 2004. "The Interactive Minority Game: a Web based investigation of human market interactions," Experimental 0402004, University Library of Munich, Germany.
    7. Laureti, Paolo & Ruch, Peter & Wakeling, Joseph & Zhang, Yi-Cheng, 2004. "The Interactive Minority Game: a Web-based investigation of human market interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 331(3), pages 651-659.
    8. Lang, Larry & Ofek, Eli & Stulz, Rene M., 1996. "Leverage, investment, and firm growth," Journal of Financial Economics, Elsevier, vol. 40(1), pages 3-29, January.
    9. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
    10. Jacopo Carmassi & Daniel Gros & Stefano Micossi, 2009. "The Global Financial Crisis: Causes and Cures," Journal of Common Market Studies, Wiley Blackwell, vol. 47(5), pages 977-996, November.
    11. John Geanakoplos, 2009. "The Leverage Cycle," Cowles Foundation Discussion Papers 1715R, Cowles Foundation for Research in Economics, Yale University, revised Jan 2010.
    12. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
    13. Adrian, Tobias & Shin, Hyun Song, 2010. "Liquidity and leverage," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 418-437, July.
    14. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    15. repec:bla:jcmkts:v:47:y:2009:i::p:977-996 is not listed on IDEAS
    16. Feldman, Todd, 2011. "Leverage regulation: An agent-based simulation," Journal of Economics and Business, Elsevier, vol. 63(5), pages 431-440, September.
    17. John Geanakoplos, 2010. "The Leverage Cycle," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 1-65, National Bureau of Economic Research, Inc.
    18. Kunyu Song & Kenan An & Guang Yang & Jiping Huang, 2012. "Risk-Return Relationship in a Complex Adaptive System," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-8, March.
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