Time Series Tests of a Nonexpected Utility Model of Asset Pricing

Working Paper: NBER ID: w3195

Authors: Alberto Giovannini; Philippe Jorian

Abstract: This paper provides two alternative estimation and testing procedures of a representative-agent model of asset pricing which relies on a particular parametrization of non-expected-utility preferences. The first is based on maximum-likelihood estimates, supplemented with an explicit model of time varying first and second moments (where the time-variation of second moments in modelled with an ARCH-Autoregressive Conditionally Heteroskedastic-process); the second is based on generalized-method-of moments estimates. We perform our tests on a data set that includes monthly observations of rates of return on US stock prices and US consumption of nondurables and services. Our results are directly comparable to a test of the dynamic capital asset pricing model performed by Hansen and Singleton (1983), and to a recent test of the model studied here performed by Epstein and Zin (1989).

Keywords: Asset Pricing; Nonexpected Utility; Time Series Analysis

JEL Codes: G12; D81


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
consumption growth (E20)asset returns (G19)
conditional covariance with consumption growth (F62)conditional expected returns on assets (G12)
nonexpected utility preferences (D81)asset pricing performance (G19)
time-varying second moments (C22)equilibrium returns of assets (G12)

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