This paper investigates the out-of-sample predictability of monthly market as well as size, value, and momentum premiums. We use a sample from each of the US and the Swiss stock markets between 1989 and 2007. Using the Swiss sample provides an important new perspective as the repeated evaluation...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...

Using Indian bank-level data, we examine the cross-sectional returns predictability for banking stocks in view of the distinct industry parameters prevalent in the financial services space. We find the existence of abnormal returns in banking stocks. We also observe that the celebrated...

This paper tests the performance of the Capital Asset Pricing Model (CAPM) and the Fama-French three-factor and Carhart four-factor models on the Polish market. We use stock level data from April 2001 to January 2014 and find strong evidence for value and momentum effects, but only weak evidence...

In this paper we investigate sources and characteristics of value, size and momentum profits on the Polish stock market. The research aims to broaden the academic knowledge in a few ways. First, we deliver fresh out-of-sample evidence on value, momentum, and size premiums. Second, we analyzemthe...

We investigate the impact of financial news on equity returns and introduce a non-parametric model to generate a sentiment signal, which is then used as a predictor for short-term, single-stock equity return forecasts.We build on Google's BERT model (for Bidirectional Encoder Representations for...

I study the causal effects of personal investment taxes on stock demand, stock returns, and the dividend policy of companies. I exploit a change in legislation in 2013 which allowed stocks listed on the Alternative Investment Market, a sub-market of the London Stock Exchange, to be held in a...

Individual environmental variables may contain information that is obscured in aggregate environmental scores when forecasting future stock returns. We apply machinelearning methods to granular environmental variables and show that a long-short portfolio that longs stocks with high forecasted...

Our paper conducts textual analysis on sell-side analyst reports and online stock opinion articles, which recommend that investors buy stocks that, based on prior literature, trade at comparatively high prices and earn low future returns. We test whether the justifications provided in these buy...

We investigate the effect of CO2 emissions to cross-sectional stock returns. Overall, we find that CO2 emissions do not predict stock returns in the full sample. However, after further exploration of the cross-sectional heterogeneity of the return predictability. We find the return...