Analytical solution for the constrained Hansen-Jagannathan distance under multivariate ellipticity
Nikolay Gospodinov (),
Raymond Kan and
No 2012-18, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta
We provide an in-depth analysis of the theoretical properties of the Hansen-Jagannathan (HJ) distance that incorporates a no-arbitrage constraint. Under a multivariate elliptical distribution assumption, we present explicit expressions for the HJ-distance with a no-arbitrage constraint, the associated Lagrange multipliers, and the SDF parameters in the case of linear SDFs. This approach allows us to analyze the benefits and costs of using the HJ-distance with a no-arbitrage constraint to rank asset pricing models.
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