During the global financial crisis, stressed market conditions led to skyrocketing corporate bond spreads that could not be explained by conventional modeling approaches. This paper builds on this observation and sheds light on time-variations in the relationship between systematic risk factors...

This article studies sin stocks on the European market over the period 2006-2020. In addition to stocks in alcohol, tobacco, gambling, and defense sectors that are traditionally considered sin stocks, we analyze stocks in carbon-intensive sectors that have newly evolved as sin stocks, such as...

We prove an anticipative sufficient stochastic minimum principle in a jump process setup with initially enlarged filtrations. We apply the result to several portfolio selection problems like mean and minimal variance hedging under enlarged filtrations. We also investigate utility maximizing...

This paper examines changes in acquirer and target companies' Credit Default Swap (CDS) spreads as a proxy for default risk around official mergers and acquisitions (M&A) announce-ments. Related literature extensively documents wealth effects triggered by M&A from the shareholders' perspective,...

We investigate the phenomenon that past winners in the stock market are potential future winners in the European bond market. By using a data-set of EUR denominated bonds for the IG and HY market since 2000, we show that the stock market leads the bond market as well as rating changes. Firms...

This paper examines the cross-sectional properties of stock return forecasts based on Fama-MacBeth regressions using all firms contained in the STOXX Europe 600 index during the September 1999-December 2018 period. Our estimation approach is strictly out-of-sample, mimicking an investor who...

In this paper we adapt the demand and supply framework introduced by Figuerola-Ferretti and Gonzalo (Journal of Econometrics 2010) to illustrate the dynamics of pairs trading. We underline the process by which a finite elasticity of demand for spread trading determines the speed of mean...

This paper evaluates the performance of machine learning methods in forecasting stock returns. Compared to a linear benchmark model, interactions and non-linear effects help improve predictive performance. But machine learning models must be adequately trained and tuned to overcome the high...

This paper investigates the impact of Brexit events on the behaviour of 34 financial indices from 1st January 2012 to 26th April 2017. Our focus is to evaluate whether the impact of Brexit on financial markets is consistent with rational asset pricing models. The empirical research uses a...

This paper analyzes determinants of home bias in equity funds based on monthly holdings data using panel and quantile regressions. We investigate 699 equity funds, domiciled in fifteen European countries, that broadly invested in European stocks from January 2003 to December 2016. More than...