Implications of security market data for models of dynamic economies
AbstractWe show how to use security market data to restrict the admissible region for means and standard deviations of intertemporal marginal rates of substitution (IMRS’s) of consumers. Our approach is (i) nonparametric and applies to a rich class of models of dynamic economies; (ii) characterizes the duality between the mean-standard deviation frontier for IMRS’s and the familiar mean-standard deviation frontier for asset returns; and (iii) exploits the restriction that IMRS’s are positive random variables. The region provides a convenient summary of the sense in which asset market data are anomalous from the vantage point of intertemporal asset pricing theory.
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Bibliographic InfoPaper provided by Federal Reserve Bank of Minneapolis in its series Discussion Paper / Institute for Empirical Macroeconomics with number 29.
Date of creation: 1990
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Other versions of this item:
- Hansen, Lars Peter & Jagannathan, Ravi, 1991. "Implications of Security Market Data for Models of Dynamic Economies," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 225-62, April.
- Lars Peter Hansen & Ravi Jagannathan, 1990. "Implications of Security Market Data for Models of Dynamic Economies," NBER Technical Working Papers 0089, National Bureau of Economic Research, Inc.
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