The paper investigates whether one can learn about the degree of climate risk exposure of firms by extracting information about their fundamentals and network connections and applying innovative graph-based artificial intelligence (AI) methodologies. We tackle this problem by creating a...

The paper introduces a new methodology to quantify the risk posed by climate change on firms. Our climate change impact indicator (CCII) uses a statistical methodology to measure the impact of climate change in terms of the interaction between long-term trend characteristics of publicly listed...

Renewable generation is inherently stochastic. We develop a risk mitigation strategy by applying principles of securitization to the stochastic generation of wind and solar resources. We demonstrate the design of a risk-free tranche for the renewable assets as a risk-free service, which the...

This paper presents a new framework to model and calibrate the process of firm value evolution when an unanticipated exogenous event impacting one firm can contagiously affect other firms. The nature of propagation of such contagion is determined by the underlying connections between firms,...

The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation...