Maximum Likelihood Estimation of Generalized Ito Processes with Discretely Sampled Data
AbstractIn this paper, it is shown that risk aversion plays a critical role in the determination of the equilibrium stock prices and their variability in a one-asset pure exchange economy. Specifically, it is argued that the variance of equilibrium stock prices is a strictly increasing convex function of the Arrow-Pratt measure of relative risk aversion, g, if g is greater than one. Furthermore, it is shown that the inequality underlying variance bounds tests can be reversed in our model with risk aversion. Therefore, it is concluded that the high volatility of stock prices relative to dividends may imply a rejection of risk neutrality rather than a failure of stock market efficiency.
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Bibliographic InfoPaper provided by Wharton School Rodney L. White Center for Financial Research in its series Rodney L. White Center for Financial Research Working Papers with number 15-86.
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Other versions of this item:
- Lo, Andrew W., 1988. "Maximum Likelihood Estimation of Generalized Itô Processes with Discretely Sampled Data," Econometric Theory, Cambridge University Press, vol. 4(02), pages 231-247, August.
- Andrew W. Lo, 1986. "Maximum Likelihood Estimation of Generalized Ito Processes with Discretely Sampled Data," NBER Technical Working Papers 0059, National Bureau of Economic Research, Inc.
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