Evaluating Asset Pricing Models in a Simulated Multifactor Approach
Carlos Enrique Carrasco-Gutierrez and
Authors registered in the RePEc Author Service: Carlos Enrique Carrasco Gutierrez ()
MPRA Paper from University Library of Munich, Germany
In this paper a methodology to compare the performance of different stochastic discount factor (SDF) models is suggested. The starting point is the estimation of several factor models in which the choice of the fundamental factors comes from different procedures. Then, a Monte Carlo simulation is designed in order to simulate a set of gross returns with the objective of mimicking the temporal dependency and the observed covariance across gross returns. Finally, the artificial returns are used to investigate the performance of the competing asset pricing models through the Hansen & Jagannathan (1997) distance and some goodness-of-fit statistics of the pricing error. An empirical application is provided for the U.S. stock market.
Keywords: asset pricing; stochastic discount factor; Hansen-Jagannathan distance. (search for similar items in EconPapers)
JEL-codes: G12 G13 (search for similar items in EconPapers)
Date: 2011, Revised 2012
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Journal Article: Evaluating Asset Pricing Models in a Simulated Multifactor Approach (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:66063
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