Nowadays, the social media play a central role not only in "de-asymmetrizing" the information between firms and investors but also in influencing the emotional response to this information. The social media have provided firms with the opportunity to construct their image and stimulate...

I mathematically derive, economically motivate and empirically confirm a new anomaly in credit markets based on the premise that excessive fear of default leads to an undervaluation and overvaluation of credit and duration risk, respectively. To quantify this anomaly, I introduce a new value...

We present a microfounded New Keynesian model that features financial vulnerabilities. Financial intermediaries' occasionally binding value-at-risk constraints give rise to variation in the pricing of risk that generates time-varying risk in the conditional mean and volatility of the output gap....

The paper has two main objectives. The first is to test for the presence of the size and book-to-market value effects in the Visegrad countries. Such effects have been found in the United States and many other developed stock markets. The Visegrad countries consist of the Czech Republic,...

In this paper we test whether environmental characteristics of assets influence their returns for the case of Russian financial market. Our main hypothesis based on the relevant literature is that if a spread between “green” and “brown” assets’ yield exists, it should be in favour of...

We investigate the relevance of the characteristics of the Ministers of Finance in influencing, via their implementation of fiscal policies, the developments, in stock returns, sovereign yields and fiscal outcomes. For a panel of 27 EU countries, covering the period 1980-2012, we find that...

Earlier studies in the finance literature show that macroeconomic fundamentals can predict excess bond returns. We employ a multi-level factor model to estimate global and sectoral factors separately and show that (i)the real factors possess most important predictive power existing in the panel;...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...