Connections between entropic and linear projections in asset pricing estimation

• Published in: Journal of econometrics Vol. 107; no. 1; pp. 159 - 174
• Main Authors: Kitamura, Yuichi, Stutzer, Michael
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.03.2002; Elsevier; Elsevier Sequoia S.A
• Series: Journal of Econometrics
• Subjects: Asset valuation; Econometrics; Entropy; Estimating techniques; Estimation; Generalized method of moments; GMM; Information; Large deviations; Prices; Stochastic discount factor; Stochastic models; Stochastic processes; Studies; C111; C13; GMM; Entropy; Large deviations; Information; Stochastic discount factor
• ISSN: 0304-4076; 1872-6895
• DOI: 10.1016/S0304-4076(01)00118-X

The concept of entropy has a long and distinguished history in the physical sciences and engineering, in fields ranging from thermodynamics to image processing. Each of these applications employs a probability distribution that solves a relative entropy projection problem, i.e. an optimization problem with an entropy objective, subject to linear (e.g. moment) constraints. This paper develops the relationship between relative entropy project approaches and the better-known linear projection approaches to problems of estimation and performance diagnostics for stochastic discount factor models in asset pricing. Frequentist interpretations of relative entropy, enabled by large deviations theory, are used to unify the interpretation of the seemingly disparate procedures.