This paper explores the quality of Scope 3 emission data in terms of divergence and composition and the performance of machine learning models in predicting Scope 3 emissions. We do so using the Scope 3 emission datasets of three of the largest data providers (Refinitiv Eikon, and ISS). We find...

In this paper we utilise the risk factors from both the finance and energy economics literatures to develop an improved asset pricing model (the Augmented-Four-Factor Model or AFFM) in the context of the European energy utility sector. In addition, we undertake inter-sectoral and inter-temporal...

This paper re-examines the size of penalties following securities class actions and the impact of lobbying on the time it takes to detect managerial misconduct. Managers of lobbying firms are able to get away with misconduct for longer and are marginally less likely to have to settle a class...

We present a modelling approach for sector asset pricing studies that incorporates sector-level risk factors, sub-group portfolios, and structural break point tests that are better at isolating the time-varying nature and the firm-specific component of returns. The sub-group portfolios show...

Recent years have seen growing academic interest in the concept of induced diffusion as efforts to address concerns about energy security and climate change have intensified. Research on induced diffusion explores whether policy tools or interventions can incentivise the diffusion of...