Abstract: Internal ratings-based models play a central role in bank risk management and regulatory capital determination, yet their validation remains methodologically challenging and operationally resource-intensive. In this paper, we contribute to the quantitative validation of probability of default models through a systematic backtesting exercise using ...more »

Abstract: This paper applies machine learning methods and anomaly detection to sudden stop analysis of portfolio flows. Using the isolation forest methodology, univariate as well as bivariate sudden stops of equity and bond fund flows to emerging markets are generated. An anomaly score and an ...more »

Abstract: We analyse the macroeconomic impact of stablecoins using a quantitative macroeconomic model. Stablecoins influence the economy through two opposing channels: (i) a bank lending channel, as household demand for stablecoins raises deposit rates, increases bank funding costs, and reduces loan supply; and (ii) a ...more »