The literature that examines structural gender differences in behaviour and contributes to understand the lower rates of non-performing loans of women compared to men concerns different disciplines, such as sociology, psychology, law and economics. Although there are still critical gaps in this...

The literature that examines structural gender differences in behaviour and contributes to understand the lower rates of non-performing loans of women compared to men concerns different disciplines, such as sociology, psychology, law and economics. Although there are still critical gaps in this...

The paper presents the basic Credit Risk+ model, and proposes some modifications. This model could be useful in the stress-testing financial sector assessments process as a benchmark for credit risk evaluations. First, we present the setting and basic definitions common to all the model...

At the height of the Great Depression a number of leading U.S. economists advanced a proposal for monetary reform that became known as the Chicago Plan. It envisaged the separation of the monetary and credit functions of the banking system, by requiring 100% reserve backing for deposits. Irving...

Despite increased need for top-down stress tests of financial institutions, performing them is challenging owing to the absence of granular information on banks’ trading and loan portfolios. To deal with these data shortcomings, this paper presents a market-based structural top-down stress...

The unprecedented collapse of international interbank borrowing was a prominent feature of the global financial crisis that started in August 2007. This paper focuses on the drivers of the retrenchment from 32 advanced and emerging banking systems. Using novel risk-weighted indexes the paper...

Previous research has focused on equity as a prime determinant of mortgage default propensities. This paper extends the analysis of mortgage default to include mortgages that require no down payment from the purchaser. A continuous time hazard model is used to estimate the conditional...

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...