In terms of regulatory and economic capital, credit risk is the most significant risk faced by banks. We implement a credit risk model - based on publicly available information . with the aim of developing a tool to monitor credit risk in a sample of large and complex banking groups (LCBGs) in...

In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...

We propose the CoJPoD, a novel framework explicitly linking the cross-sectional and cyclical dimensions of systemic risk. In this framework, banking sector distress in the form of the joint probability of default of financial intermediaries (reflecting contagion from both direct and indirect...

This paper contributes to the literature on the properties of money and credit indicators for detecting asset price misalignments. After a review of the evidence in the literature on this issue, the paper discusses the approaches that can be considered to detect asset price busts. Considering a...

Aggregate loan development typically hinges on a combination of factors that impact simultaneously on the demand and the supply side of bank lending. The financial turmoil starting in mid-2007 had detrimental consequences for banks' balance-sheets, cost of funds and profitability, thus weighing...

This paper analyzes the importance of retail consumers' banking relationships for loan defaults using a unique, comprehensive dataset of over one million loans by savings banks in Germany. We find that loans of retail customers, who have a relationship with their savings bank prior to applying...

This paper aims to shed light on the characteristics and particularly the determinants of credit-less recoveries. After building a dataset and documenting some stylised facts of credit-less recoveries in emerging market economies, this paper uses panel probit models to analyse key determinants...