Evaluating Asset Pricing Models in a Fama-French Framework
Carlos Gutierrez and
Wagner Gaglianone ()
No 175, Working Papers Series from Central Bank of Brazil, Research Department
In this work we propose a methodology to compare different stochastic discount factor (SDF) proxies based on relevant market information. The starting point is the work of Fama and French, which evidenced that the asset returns of the U.S. economy could be explained by relative factors linked to characteristics of the firms. In this sense, we construct a Monte Carlo simulation to generate a set of returns perfectly compatible with the Fama and French factors and, then, investigate the performance of different SDF proxies. Some goodness-of-fit statistics and the Hansen and Jagannathan distance are used to compare asset pricing models. An empirical application of our setup is also provided.
New Economics Papers: this item is included in nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bcb:wpaper:175
Access Statistics for this paper
More papers in Working Papers Series from Central Bank of Brazil, Research Department
Bibliographic data for series maintained by Francisco Marcos Rodrigues Figueiredo ().