This research aims to find the most accurate model for predicting bankruptcy in the Indonesian banking industry. The data used are secondary data in the form of financial reports from 2018 to 2022. The methodology includes hypothesis testing using normality, homogeneity, and one-way ANOVA tests....

We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...

This paper develops an analytical framework that can be used to anticipate problems in the banking system and enable supervisors to take mitigating actions at an early stage. This paper has two components. First, it develops an early warning indicator that is intended to capture a number of the...

This paper describes concepts and tools behind macroprudential monitoring, and the growing importance of macroprudential tools for assessing the stability of financial systems. This paper also employs a macroprudential approach in examining financial soundness and identifying its determinants....

We present an analysis of VaR forecasts and P&L-series of all 13 German banks that used internal models for regulatory purposes in the year 2001. To this end, we introduce the notion of well-behaved forecast systems. Furthermore, we provide a series of statistical tools to perform our analyses....

Bank internal ratings of corporate clients are intended to quantify the expected likelihood of future borrower defaults. This paper develops a comprehensive framework for evaluating the quality of standard rating systems. We suggest a number of principles that ought to be met by 'good rating...

This paper describes concepts and tools behind macroprudential monitoring and the growing importance of macroprudential tools for assessing the stability of financial systems. This paper also employs a macroprudential approach in examining financial soundness and identifying its determinants....