Currently, no comprehensive scientific methodology of corporate risk quantification, in
response to new disclosure regulations, has been proposed in the literature. Here we …

This research focuses on using approaches such as ML and ANNs in FRM while will look at
and try to analyze their effectiveness compared to logistic regression, random forest, and …

This paper delves into the intricacies of synthetic data, emphasizing its growing significance
in the realm of finance and more notably, sustainable finance. Synthetic data, artificially …

Using a range of calculative devices,(Mis) managing Macroprudential Expectations explores
the methods used by central banks to predict and govern the tail risks that could impact …

The Caribbean region is prone to the strong winds and low air pressures of tropical cyclones
and their corresponding storm surge that driving coastal flooding. To protect coastal …

Regulators increasingly require organisations to disclose their climate‐related financial
risks. Most future physical climate risks present unique challenges, however, as their likely …

Using location-specific climate exposure measures, I test for the existence of physical
climate risk premia. Hurricane risk commands a positive risk premium whilst heat stress …

The severity of extreme weather events is increasing due to climate change, giving rise to
physical climate risk. However, physical climate risk is not only driven by the severity of …

Purpose The purpose of this paper is to develop a concept of engaged research that
promotes research on matters that matter. Engaged research comes to the fore at the …

There has been widespread adoption of downscaled products amongst practitioners and
stakeholders to ascertain risk from climate hazards at the local scale (eg,∼ 5 km resolution) …