Smart Money, Noise Trading and Stock Price Behavior
AbstractThis paper derives and estimates an equilibrium model of stock price behavior in which exogenous "noise traders" interact with risk-averse "smart money" investors. The model assumes that changes in exponentially detrended dividends and prices are normally distributed, and that smart money investors have constant absolute risk aversion. In equilibrium, the stock price is the present value of expected dividends, discounted at the riskless interest rate, less a constant risk premium, plus a term which is due to noise trading. The model expresses both stock prices and dividends as sums of unobserved components in continuous time. The model is able to explain the volatility and predictability of U.S. stock returns in the period 1871-1986 in either of two ways. Either the discount rate is 4% or below, and the constant risk premium is large; or the discount rate is 5% or above, and noise trading, correlated with fundamentals, increases the volatility of stock prices. The data are not well able to distinguish between these explanations.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0071.
Date of creation: Oct 1988
Date of revision:
Publication status: published as Review of Economic Studies, Vol 60, issue 202, January 1993, p. 1-34
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Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
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Other versions of this item:
- Campbell, John Y & Kyle, Albert S, 1993. "Smart Money, Noise Trading and Stock Price Behaviour," Review of Economic Studies, Wiley Blackwell, vol. 60(1), pages 1-34, January.
- Kyle, Albert & Campbell, John, 1993. "Smart Money, Noise Trading and Stock Price Behaviour," Scholarly Articles 3208217, Harvard University Department of Economics.
- Campbell, J.Y. & Kyle, A.S., 1988. "Smart Money, Noise Trading And Stock Price Behavior," Papers 95, Princeton, Department of Economics - Financial Research Center.
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