This paper evaluates the predictive performance of machine learning techniques in estimating time-varying betas of US stocks. Compared to established estimators, tree-based models and neural networks outperform from both a statistical and an economic perspective. Random forests perform the best...

This study examines the relationship between Corporate Social Responsibility (CSR) and corporate performance using a sample of listed shipping companies. Recognizing heterogeneous CSR behavior across shipping companies, we employ Markov Chain Monte Carlo techniques for Bayesian inference and...

Evidence shows that social network structures drive important economic outcomes. Building on social network theory, this study is the first to analyse the impact of team networks on venture success. Using information about team affiliations for a sample of token-financed startups, we model...