There is evidence that machine learning (ML) can improve the screening of risky borrowers, but the empirical literature gives diverse answers as to the impact of ML on credit markets. We provide a model in which traditional banks compete with fintech (innovative) banks that screen borrowers...

In this paper, we look at the effect of the financial crisis from an angle overlooked to date in the finance literature by investigating composition effects arising from the financial crisis. A composition effect is a change in the market risk of a sector that is caused not by a direct change in...

The paper outlines various measures of profitability and considers what role they can play in competition law. We argue that profitability measures can provide a good answer to the wrong question and a much less good answer to the question we really want to answer. Using appropriate definitions...

Privatizations are commonly associated with underpricing and undervaluation. Underpricing has received significant attention in the literature, but there is no equivalent literature that explains undervaluation. This paper provides a theoretical model of why regulated privatized assets are prone...

Privatised utilities are typically characterised by both undervaluation and underpricing. When faced with this problem, regulators have tended to employ a market-value approach to determine the regulatory asset base. This paper analyses this approach and shows that it magnifies the impact of any...