Strategies used as spectroscopy of financial markets reveal new stylized facts
We propose a new set of stylized facts quantifying the structure of financial markets. The key idea is to study the combined structure of both investment strategies and prices in order to open a qualitatively new level of understanding of financial and economic markets. We study the detailed order flow on the Shenzhen Stock Exchange of China for the whole year of 2003. This enormous dataset allows us to compare (i) a closed national market (A-shares) with an international market (B-shares), (ii) individuals and institutions and (iii) real investors to random strategies with respect to timing that share otherwise all other characteristics. We find that more trading results in smaller net return due to trading frictions. We unveiled quantitative power laws with non-trivial exponents, that quantify the deterioration of performance with frequency and with holding period of the strategies used by investors. Random strategies are found to perform much better than real ones, both for winners and losers. Surprising large arbitrage opportunities exist, especially when using zero-intelligence strategies. This is a diagnostic of possible inefficiencies of these financial markets.
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.:
- Simon Gervais & Terrance Odean, "undated".
"Learning To Be Overconfident,"
Rodney L. White Center for Financial Research Working Papers
05-97, Wharton School Rodney L. White Center for Financial Research.
- Simon Gervais & Terrance Odean, "undated". "Learning To Be Overconfident," Rodney L. White Center for Financial Research Working Papers 5-97, Wharton School Rodney L. White Center for Financial Research.
- Alexander Ljungqvist & Christopher Malloy & Felicia Marston, 2009. "Rewriting History," Journal of Finance, American Finance Association, vol. 64(4), pages 1935-1960, 08.
- Laurent BARRAS & Olivier SCAILLET & Russ WERMERS, 2005.
"False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas,"
Swiss Finance Institute Research Paper Series
08-18, Swiss Finance Institute, revised Sep 2008.
- Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, 02.
- Laurent BARRAS & Olivier SCAILLET & Russ WERMERS, 2005. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," FAME Research Paper Series rp163, International Center for Financial Asset Management and Engineering.
- Barras, Laurent & Scaillet, Olivier & Wermers, Russ, 2009. "False discoveries in mutual fund performance: Measuring luck in estimated alphas," CFR Working Papers 06-02, University of Cologne, Centre for Financial Research (CFR).
- Olivier Scaillet & Laurent Barras & Russell R. Wermers, 2005. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Working Papers CEB 05-014.RS, ULB -- Universite Libre de Bruxelles.
- Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
- Cars Hommes & Florian Wagener, 2008.
"Complex Evolutionary Systems in Behavioral Finance,"
Tinbergen Institute Discussion Papers
08-054/1, Tinbergen Institute.
- Hommes, C.H. & Wagener, F.O.O., 2008. "Complex evolutionary systems in behavioral finance," CeNDEF Working Papers 08-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
When requesting a correction, please mention this item's handle: RePEc:arx:papers:1104.3616. 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: (arXiv administrators)
If references are entirely missing, you can add them using this form.