Leverage regulation: An agent-based simulation
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Frank Westerhoff, 2003.
"Multi-Asset Market Dynamics,"
Computing in Economics and Finance 2003
88, Society for Computational Economics.
- Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2005.
"Heterogeneous Expectations and Speculative Behaviour in a Dynamic Multi-Asset Framework,"
Research Paper Series
166, Quantitative Finance Research Centre, University of Technology, Sydney.
- 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.
- Brock, W.A., 1995.
"A Rational Route to Randomness,"
9530, Wisconsin Madison - Social Systems.
- 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.
- Lucy F. Ackert & Narat Charupat & Bryan K. Church & Richard Deaves, 2006. "Margin, Short Selling, And Lotteries In Experimental Asset Markets," Southern Economic Journal, Southern Economic Association, vol. 73(2), pages 419-436, October.
- John Geanakoplos & Ana Fostel, 2008. "Leverage Cycles and the Anxious Economy," American Economic Review, American Economic Association, vol. 98(4), pages 1211-1244, September.
- 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.
- Brock, W.A. & Hommes, C.H., 1996. "Hetergeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model," Working papers 9621, Wisconsin Madison - Social Systems.
- Terrence Hendershott & Charles M. Jones, 2005. "Island Goes Dark: Transparency, Fragmentation, and Regulation," Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 743-793.
- 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.
When requesting a correction, please mention this item's handle: RePEc:eee:jebusi:v:63:y:2011:i:5:p:431-440. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If references are entirely missing, you can add them using this form.