Introduction to Credit Risk and Capital Management Frameworks -- Credit Data and Processing -- Credit Modeling Techniques -- Allowance for Credit Loss and CECL -- Capital Management and Risk Weighted Asset -- Stress Test and CCAR -- Underwriting and Credit Scoring.

Why should risk management systems account for parameter uncertainty? In order to answer this question, this paper lets an investor in a credit portfolio face non-diversifiable estimation-driven uncertainty about two parameters: probability of default and asset-return correlation. Bayesian...

We describe a method to improve credit portfolio models based on the Merton model by adding to the underlying distributions forward-looking tails deducted through the Bayesian Networks technology. Given the forward-looking stance of the approach, its results give a better quanti ed picture of...

We investigate simply the usage of clustering method by inverse covariance estimation for asset allocation in finance. Allocation across various sectors of the market (i.e. sector ETF) is usually well understood through the usage of mean variance allocation. However, stocks inside a same sector...

Stochastic optimisation has found a fertile ground for applications in finance. One of the greatest challenges remains to incorporate a set of scenarios that accurately models the behaviour of financial markets, and in particular their behaviour during crashes and crises, without sacrificing the...