We study the determinants of average pay across all levels of staff seniority for UK banks between 2003 and 2012. We show that pay is affected by agency problems but not by bank operating performance. Average pay does not depend on accounting outcomes at the bank level. By contrast, average pay...

Tremendous growth in the credit industry has spurred the need for Credit Scoring and Its Applications, the only book that details the mathematical models that help creditors make intelligent credit risk decisions.Creditors of all types make risk decisions every day, often haphazardly. This book...

We study the determinants of average pay across all levels of staff seniority for UK banks between 2003 and 2012. We show that pay is affected by agency problems but not by bank operating performance. Average pay does not depend on accounting outcomes at the bank level. By contrast, average pay...

This paper uses micro data from four OECD countries (the United States, Spain, Italy, and the Netherlands), to assess the determinants of household debt holding and to investigate whether or not credit constraints are important for household debt holding. We extend the existing literature in...

We present a general methodology based on skew t copulas and Bayesian inference for modelling extreme multivariate dependent losses and the regulatory capital for operational risk. Current approaches fail to model both asymmetric dependence and accurate extreme upper tail dependence (e.g. 99.9%...

Online mail order and online retail purchases have increased rapidly in the last five years worldwide, with Covid-19 forcing almost all non-grocery shopping to move online. These practices have increased the availability of new data sources, such as web behavioural variables providing scope for...

This paper uses micro data from four OECD countries (the United States, Spain, Italy, and the Netherlands), to assess the determinants of household debt holding and to investigate whether or not credit constraints are important for household debt holding. We extend the existing literature in...

Creditors such as banks frequently use expert systems to support their decisions when issuing loans and credit assessment has been an important area of application of machine learning techniques for decades. In practice, banks are often required to provide the rationale behind their decisions in...