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Leverage regulation: An agent-based simulation

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  • Feldman, Todd

Abstract

An agent-based financial market model is used to simulate the effects of financial regulation to reduce financial leverage. Results suggest that regulating leverage using margin calls can lead to less frequent financial crises per century, however, it creates harder hit financial crises than without regulation. In addition, regulation where the central authority tries to prick bubbles also leads to less frequent financial crises, but, creates greater volatility. Lastly, I find that leverage regulation where agent's ability to borrow is not dependent on price produces less frequent crises and less volatility than the other regimes.

Suggested Citation

  • Feldman, Todd, 2011. "Leverage regulation: An agent-based simulation," Journal of Economics and Business, Elsevier, vol. 63(5), pages 431-440, September.
  • Handle: RePEc:eee:jebusi:v:63:y:2011:i:5:p:431-440
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    References listed on IDEAS

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    1. Lucy F. Ackert & Narat Charupat & Bryan K. Church & Richard Deaves, 2006. "Margin, Short Selling, And Lotteries In Experimental Asset Markets," Southern Economic Journal, John Wiley & Sons, vol. 73(2), pages 419-436, October.
    2. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    3. John Geanakoplos & Ana Fostel, 2008. "Leverage Cycles and the Anxious Economy," American Economic Review, American Economic Association, vol. 98(4), pages 1211-1244, September.
    4. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    5. Terrence Hendershott & Charles M. Jones, 2005. "Island Goes Dark: Transparency, Fragmentation, and Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 743-793.
    6. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    7. Chiarella, Carl & Dieci, Roberto & He, Xue-Zhong, 2007. "Heterogeneous expectations and speculative behavior in a dynamic multi-asset framework," Journal of Economic Behavior & Organization, Elsevier, vol. 62(3), pages 408-427, March.
    8. Westerhoff, Frank H., 2004. "Multiasset Market Dynamics," Macroeconomic Dynamics, Cambridge University Press, vol. 8(5), pages 596-616, November.
    9. Erika Corona & Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "The Interplay Between Two Stock Markets and a Related Foreign Exchange Market: A Simulation Approach," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 99-119, September.
    10. Friedman, Daniel & Abraham, Ralph, 2009. "Bubbles and crashes: Gradient dynamics in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 922-937, April.
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    Cited by:

    1. 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.

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