Rational Trader Risk
Allowing for a richer information structure than usual, we show that rational traders’ calculation with short-term price fluctuations may heavily influence their behaviour even if the interim price is not influenced by non-rational agents i.e. there is no noise trader risk. Instead, traders expect that new rational entrants with different information in the interim period will drive the price against them. Consequently, rational traders in the first period will hesitate to trade on their private information or - in the extreme - will trade against their private information i.e. buy more of the risky asset when they consider it worse. In the first part we develop a microstructure model with learning where the above effect will result in severe inefficiency and mispricing. In the second part, we discuss the critical properties of the information structure which are expected to result in similar findings in general models.
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- Bruno Biais & Peter Bossaerts, 1998. "Asset Prices and Trading Volume in a Beauty Contest," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 307-340.
- Stephen Morris, 1996.
"Speculative Investor Behavior and Learning,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 111(4), pages 1111-1133.
- Stephen Morris, "undated". "Speculative Investor Behavior and Learning," Penn CARESS Working Papers d12f7936881423171f6589501, Penn Economics Department.
- Stephen Morris, "undated". ""Speculative Investor Behavior and Learning''," CARESS Working Papres 95-13, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
- Stephen Morris, 1996. "Speculative investor behavior and learning," Working Papers 96-5, Federal Reserve Bank of Philadelphia.
- Abreu, Dilip & Brunnermeier, Markus K., 2002. "Synchronization risk and delayed arbitrage," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 341-360.
- De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
- J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, "undated". "Noise Trader Risk in Financial Markets," J. Bradford De Long's Working Papers _124, University of California at Berkeley, Economics Department.
- De Long, J. Bradford & Shleifer, Andrei & Summers, Lawrence H. & Waldmann, Robert J., 1990. "Noise Trader Risk in Financial Markets," Scholarly Articles 3725552, Harvard University Department of Economics.
- Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
- Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," Review of Economic Studies, Oxford University Press, vol. 56(3), pages 317-355.
- Shleifer, Andrei & Vishny, Robert W, 1997. " The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
- Andrei Shleifer ad Robert W. Vishny, 1995. "The Limits of Arbitrage," Harvard Institute of Economic Research Working Papers 1725, Harvard - Institute of Economic Research.
- Andrei Shleifer & Robert W. Vishny, 1995. "The Limits of Arbitrage," NBER Working Papers 5167, National Bureau of Economic Research, Inc.
- J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, Oxford University Press, vol. 92(2), pages 323-336. Full references (including those not matched with items on IDEAS)