Trading Complex Assets
AbstractWe perform an experimental study of complexity to assess its effect on trading behavior, price volatility, liquidity, and trade efficiency. Subjects were asked to deduce the value of a particular asset from information they were given about the composition and price of several portfolios. Following that, subjects traded with each other anonymously in a well-defined, simple bargaining process. Portfolio problems ranged from requiring simple analysis to more complicated computation. Complexity altered subjects' bidding strategies, decreased liquidity, increased price volatility, and decreased trade efficiency. Female subjects were affected more by complexity (e.g., lower trade frequency), although they achieved higher payoffs in the complex treatment. Our analysis suggests that complexity may be a driver of volatility and liquidity in financial markets and provides novel testable empirical predictions.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16187.
Date of creation: Jul 2010
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Find related papers by JEL classification:
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-24 (All new papers)
- NEP-CBA-2010-07-24 (Central Banking)
- NEP-EXP-2010-07-24 (Experimental Economics)
- NEP-MST-2010-07-24 (Market Microstructure)
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- Goldman, Eitan & Strobl, Günter, 2013. "Large shareholder trading and the complexity of corporate investments," Journal of Financial Intermediation, Elsevier, vol. 22(1), pages 106-122.
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