We demonstrate that the parameters controlling skewness and kurtosis in popular equity return models estimated at daily frequency can be obtained almost as precisely as if volatility is observable by simply incorporating the strong information content of realized volatility measures extracted...

This article aims to extend evaluation of the classic multifactor model of Carhart (1997) for the case of global equity indices and to expand analysis performed in Sakowski et. al. (2015). Our intention is to test several modifications of these models to take into account different dynamics of...

Although the environmental, social, and governance (ESG) has gained increasing attention among investors, the extent to which ESG is compensated systematically in the market remains to be investigated. On the outperformance of responsible investing (RI) which incorporates ESG into investment...

We build on Fackler and King (1990) and propose a general calibration model for implied risk neutral densities. Our model allows for the joint calibration of a set of densities at different maturities and dates. The model is a Bayesian dynamic beta Markov random field which allows for possible...

Both Kosowski et al. (2006) and Fama and French (2010) evaluate whether mutual funds outperform, but their conclusions are very different. We reconcile their findings. We show that the Fama and French method suffers from an undersampling problem that leads to a failure to reject the null...

We comprehensively analyze the predictive power of several option implied variables for monthly S & P 500 excess returns and realized variance. The correlation risk premium (CRP) emerges as a strong predictor of both excess returns and realized variance. This is true both in- and out-of-sample....

We introduce a new measure of stock misevaluation, 𝑄, which is consistent with the Gordon growth model for firm valuation. In our empirical application, we use 𝑄 to relate analyst forecasts to stock returns and measure the profitability of investment strategies that rely on information in...

This article examines the time-series predictive ability of monthly option-implied idiosyncratic skewness (Skew, hereafter) for stock market excess returns. Skew is a strong negative predictor of returns with particular strong power at long horizons. Specifically, the out-of-sample R^2...

Using high-frequency data, we decompose the time-varying beta for stocks into beta for continuous systematic risk and beta for discontinuous systematic risk. Estimated discontinuous betas for S&P500 constituents between 2003 and 2011 generally exceed the corresponding continuous betas. We...