This paper investigates the relationship between federal election outcomes and expected returns and volatilities in the Canadian money, bond, equity and currency markets from 1951 to 2006. There is little evidence that investment opportunities are different in minority versus majority...

This study examines 16 models of monthly Value-at-Risk (VaR) for three equity indices with an emphasis on the filtered historical simulation (FHS) technique. We investigate the importance of historical simulation versus a parametrized approach, the presence of filter versus a static modeling of...

The empirical results in recent finance literature reveal that conditional performance measures generally improve our perception of fund managers. Furthermore, it has been shown that using daily data in an unconditional framework increases the proportion of abnormal performances relative to...

<heading id="h1" level="1" implicit="yes" format="display">Abstract</heading>The empirical finance literature reveals that conditional models estimated with monthly data generally improve fund performance. Furthermore, it has been shown that using daily instead of monthly returns in an unconditional framework increases the proportion of abnormal performances...

This paper provides a comprehensive study of the syndicate structure and its relationship to information asymmetry and loan spread by using principal component analysis on a large set of 40 structure-related variables. A total of six structure components are identified and related to syndicate...

We show how to use asset market data to restrict the admissible region for the first-order autocorrelation of the stochastic discount factor (SDF). We interpret this statistic as a measure of a model's economic time variation across two periods. Estimating bounds for nominal and real SDFs at...

Asset returns implicitly contain information about the systematic and nonsystematic risks in an economy. Based solely on the law of one price condition, we extract this information by using a mean-variance frontier decomposition of returns, and exploit it to improve the assessment of...