We study the sensitivity of the realised loss-given-default (LGD) to macroeconomic conditions by exploring Global Credit's confidential dataset on observed cash flows from defaulted loans. Given the prolonged duration of loan recovery, spanning several years, and the potential for macroeconomic...

This paper provides the first empirical evidence that bank regulation is associated with cross-border spillover effects through the lending activities of large multinational banks. We analyze business lending by 155 banks to 9613 firms in 1976 different localities across 16 countries. We find...

We develop a measure of overall financial risk in China by applying machine learning techniques to textual data. A pre-defined set of relevant newspaper articles is first selected using a specific constellation of risk-related keywords. Then, we employ topical modelling based on an unsupervised...

We develop a measure of overall financial risk in China by applying machine learning techniques to textual data. A pre-defined set of relevant newspaper articles is first selected using a specific constellation of risk-related keywords. Then, we employ topical modelling based on an unsupervised...

This paper applies linear and neural network-based “thick” models for forecasting inflation based on Phillips–curve formulations in the USA, Japan and the euro area. Thick models represent “trimmed mean” forecasts from several neural network models. They outperform the best performing...

This paper analyzes the predictability of emerging market currency crises by comparing the often used probit model to a new method, namely a multi-layer perceptron artificial neural network (ANN) model. According to the results, both models were able to signal currency crises reasonably well...

This study investigates the underlying reasons for banks' continued support of fossil fuel-based firms and examines the role of public guaranteed loans (PGLs) in redirecting resources towards greener economic activities, thereby facilitating the climate transition process. Using a unique...

In this paper we build a unique dataset to study how banks decide which firms to lend to and how this decision depends on their own situation and the characteristics of their borrowers. We find that weaker capitalised banks adjust their credit standards more than healthier banks, especially for...

We address the question to what extent a central bank can de-risk its balance sheet by unconventional monetary policy operations. To this end, we propose a novel risk measurement framework to empirically study the time-variation in central bank portfolio credit risks associated with such...

This paper explores how the need to transition to a low-carbon economy influences firm credit risk. It develops a novel dataset which augments data on firms' green-house gas emissions over time with information on climate disclosure practices and forward-looking emission reduction targets,...