Model Comparison Using the Hansen-Jagannathan Distance

Posted: 8 Sep 2009

See all articles by Raymond Kan

Raymond Kan

University of Toronto - Rotman School of Management

Cesare Robotti

Warwick Business School

Multiple version iconThere are 2 versions of this paper

Date Written: September 2009

Abstract

Although it is of interest to test whether or not a particular asset pricing model is literally true, a more useful task for empirical researchers is to determine how wrong a model is and to compare the performance of competing asset pricing models. In this paper, we propose a new methodology to test whether or not two competing linear asset pricing models have the same Hansen-Jagannathan distance. We show that the asymptotic distribution of the test statistic depends on whether the competing models are correctly specified or misspecified, and on whether the competing models are nested or non-nested. In addition, given the increasing interest in misspecified models, we propose a simple methodology for computing the standard errors of the estimated stochastic discount factor parameters that are robust to model misspecification. Using monthly data on 25 size and book-to-market ranked portfolios and the one-month T-bill, we show that the commonly used returns and factors are, for the most part, too noisy for us to conclude that one model is superior to the other models in terms of Hansen-Jagannathan distance. Specifically, there is little evidence that conditional and intertemporal capital asset pricing model (CAPM)-type specifications outperform the simple unconditional CAPM. In addition, we show that many of the macroeconomic factors commonly used in the literature are no longer priced once potential model misspecification is taken into account.

Keywords: G12

Suggested Citation

Kan, Raymond and Robotti, Cesare, Model Comparison Using the Hansen-Jagannathan Distance (September 2009). The Review of Financial Studies, Vol. 22, Issue 9, pp. 3449-3490, 2009, Available at SSRN: https://ssrn.com/abstract=1468194 or http://dx.doi.org/hhn094

Raymond Kan (Contact Author)

University of Toronto - Rotman School of Management ( email )

105 St. George Street
Toronto, Ontario M5S3E6
Canada
416-978-4291 (Phone)
416-971-3048 (Fax)

Cesare Robotti

Warwick Business School ( email )

West Midlands, CV4 7AL
United Kingdom

Here is the Coronavirus
related research on SSRN

Paper statistics

Abstract Views
528
PlumX Metrics