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The Exact Distribution of the Hansen-Jagannathan Bound
Raymond Kan University of Toronto - Joseph L. Rotman School of Management Cesare Robotti Federal Reserve Bank of Atlanta February 2008 FRB Atlanta Working Paper No. 2008-9 Abstract: Under the assumption of multivariate normality of asset returns, this paper presents a geometrical interpretation and the finite-sample distributions of the sample Hansen-Jagannathan (1991) bounds on the variance of admissible stochastic discount factors, with and without the nonnegativity constraint on the stochastic discount factors. In addition, since the sample Hansen-Jagannathan bounds can be very volatile, we propose a simple method to construct confidence intervals for the population Hansen-Jagannathan bounds. Finally, we show that the analytical results in the paper are robust to departures from the normality assumption.
Keywords: Hansen-Jagannathan Bound, No Arbitrage, Positivity, Exact Distribution JEL Classifications: G12 Working Paper SeriesDate posted: December 21, 2007 ; Last revised: November 13, 2008Suggested CitationContact Information
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