Habit, long-run risks, prospect? A statistical inquiry

Eric M. Aldrich, A. Ronald Gallant

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We use recently proposed Bayesian statistical methods to compare the habit persistence asset pricing model of Campbell and Cochrane, the long-run risks model of Bansal and Yaron, and the prospect theory model of Barberis, Huang, and Santos. We improve these Bayesian methods so that they can accommodate highly nonlinear models such as the three aforementioned. Our substantive results can be stated succinctly: If one believes that the extreme consumption fluctuations of 1930-1949 can recur, although they have not in the last sixty years even counting the current recession, then the long-run risks model is preferred. Otherwise, the habit model is preferred.

Original languageEnglish (US)
Pages (from-to)589-618
Number of pages30
JournalJournal of Financial Econometrics
Volume9
Issue number4
DOIs
StatePublished - Sep 30 2011

All Science Journal Classification (ASJC) codes

  • Finance
  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Habit, long-run risks, prospect? A statistical inquiry'. Together they form a unique fingerprint.

Cite this