We develop a novel framework using Bayesian networks to capture distress dependence in the context of counterparty credit risk. This allows us to calibrate the probability of distress of an entity conditional on the distress of a different entity. We apply our methodology to wrong-way risk model...

This paper presents a tractable model of non-linear dynamics of market returns using a Langevin approach.Due to non-linearity of an interaction potential, the model admits regimes of both small and large return fluctuations. Langevin dynamics are mapped onto an equivalent quantum mechanical (QM)...

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...

We examine the time-frequency lead-lag relationships and the degree of integration between the US financial stress index and global commodity prices (i.e., oil, gold, silver, and cocoa) with data covering over 47 decades (January 1975 to December 2021). For this purpose, we resort to the bi- and...

We show that the slight possibility of a macroeconomic disaster of moderate magnitude can explain important features across credit, option, and equity markets. Our consumption-based equilibrium model captures the empirical level and volatility of credit spreads, generates a flexible credit term...

Volatility indices have been designed for many markets as gauges to measure investors' fear of market crash. The recent market turmoil has produced historically high volatility levels, in some cases around four times higher than their previous average levels. We take a look at the behavior of...

Credit risk models have played a key part in the global credit crisis. The main shortcomings of these models are examined and a new causal framework is proposed to build deductive credit default models that have predictive capabilities

This paper proposes an analytical framework to quantify the impacts of climate policy and transition narratives on economic and financial variables necessary for financial risk assessment. Focusing on transition risks, the scenarios considered include unexpected increases in carbon prices and...

This paper characterizes the probability of a market failure defined as the default of two or more globally systemically important banks (G-SIBs) in a small interval of time. The default probabilities of the G-SIBs are correlated through the possible existence of a market-wide stress event. The...