This paper investigates the application of factor investing in corporate bonds. Our results show that proficiency in the drivers of risk and return, the factors, should be used for bottom-up corporate bond selection. We analyze five different factors (Value, Equity Momentum, Carry, Quality,...

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...

Machine learning techniques have gained enormously in popularity in recent years, but so far only to a very limited extent in fixed income research. In this paper we therefore like to do some pioneering work and apply Boosted Regression Trees to Equity Momentum in the corporate bond market. We...

The emerging literature suggests that machine learning (ML) is beneficial in many asset pricing applications because of its ability to detect and exploit nonlinearities and interaction effects that tend to go unnoticed with simpler modelling approaches. In this paper, we discuss the promises and...