Market-driven defaults, such as Archegos, made manifest the dangerous interplay between leverage and wrong way risk (WWR) and the egregious impact of this non-linear dynamics on the credit loss distribution. In the following, Fabrizio Anfuso generalises the WWR exposure model introduced in...

Risk measurement and pricing of financial positions are based on modeling assumptions, which are common assumptions on the probability distribution of the position's outcomes. We associate a model with a probability measure and investigate model risk by considering a model space. First, we...

The main goal of this paper is to better understand the behavior of credit spreads in the past and the potential risk of unexpected future credit spread changes. One important consideration to note regarding credit spreads is the fact that bond spreads contain a liquidity premium, which...

The prices of or spread on credit default swaps (CDS) theoretically represent the pure credit risk of a firm. Callen, Livnat and Segal (2007) note that although the CDS premium is related to credit ratings issued by the rating agencies, rather wide variation in CDS spreads are observed for firms...

In this study we develop a theoretical model for ultimate loss-given default in the Merton (1974) structural credit risk model framework, deriving compound option formulae to model differential seniority of instruments, and incorporating an optimal foreclosure threshold. We consider an extension...

A central component of the Basel III (B3) document is the "Sound practices for backtesting", i.e., a summary of strict regulatory guidances on how to validate and backtest Internal Method Models (IMM) for credit exposure. In the present work, we define a complete statistical framework to...

We present a data-driven proof of concept model capable of reproducing expected counterparty credit exposures from market and trade data. The model has its greatest advantages in quick single-contract exposure evaluations that could be used in front office xVA solutions. The data was generated...

Credit migration matrices are cardinal inputs to many risk management applications. Their accurate estimation is therefore critical. We explore three approaches, cohort and two variants of duration—time homogeneous and non-homogeneous—and the resulting differences, both statistically through...

We present a stochastic simulation model for estimating forward-looking corporate probability of default and loss given default. We formulate the model in a discrete time frame, apply capital-budgeting techniques to define the relationships that identify the default condition, and solve the...