This paper studies the impact of environmental, social, and governance (ESG) ratings on investors' preferences and stock prices. We exploit a change in ESG rating methodology that non-linearly shifted ESG ratings for firms as a natural experiment. We show that the 'pseudo'-changes in the ESG...

Most of the performance measures proposed in the financial and academic literature are subject to be gamed in an active management framework (Goetzmann et al., 2007). One of the main reasons of this drawback is due to an incomplete characterization by these measures of studied return...

We exploit a modification to Sustainalytics' environmental, social, and governance (ESG) rating methodology, which is subsequently adopted by Morningstar, to study whether ESG ratings are salient for stock pricing. We show that the inversion of the rating scale but not new information leads some...

We exploit a modification to Sustainalytics' environmental, social, and governance (ESG) rating methodology, which is subsequently adopted by Morningstar, to study whether ESG ratings are salient for stock pricing. We show that the inversion of the rating scale but not new information leads some...

Most of the performance measures proposed in the financial and academic literature are subject to be gamed in an active management framework (Goetzmann et al., 2007). One of the main reasons of this drawback is due to an incomplete characterization by these measures of studied return...

Have Italian mutual funds been able to generate "extra-return"? Were some of them able to persistently beat the competitors? In this paper we address these questions and provide a detailed and systematic performance and return persistence analysis of the Italian equity mutual funds. We show...

Using hand-collected data on European auto asset-backed securities (Auto ABS), we examine the role of mutual funds in financing the transition to zero-emission mobility. Mutual funds, particularly those with a green mandate, tend to have a higher exposure to sustainability-transparent Auto ABS...

The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the "Natural Language Toolkit" that uses machine...

The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the ”Natural Language Toolkit” that uses...