This paper develops and estimates a continuous-time model of a financial market where investors' trading strategies and the specialist's rule of price adjustments are the best response to each other. We examine how far modeling market microstructure in a purely rational framework can go in explaining alleged asset pricing `anomalies.' The model produces some major findings of the empirical literature: excess volatility of the market price compared to the asset's fundamental value, serially correlated volatility, contemporaneous volume-volatility correlation, and excess kurtosis of price changes. We implement a nonlinear filter to estimate the unobservable fundamental value, and avoid the discretization bias by computing the exact conditional moments of the price and volume processes over time intervals of any length.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
5479.
Length: Date of creation: Mar 1996 Date of revision: Handle: RePEc:nbr:nberwo:5479
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Find related papers by JEL classification: C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
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.:
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 703-38, August.
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Grossman, S.J. & Miller, M.H., 1988.
"Liquidity And Market Structure,"
Papers
88, Princeton, Department of Economics - Financial Research Center.
Other versions:
Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992.
"Stock Prices and Volume,"
Review of Financial Studies,
Oxford University Press for Society for Financial Studies, vol. 5(2), pages 199-242.
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