We explore the design of climate stress tests to assess and manage macro-prudential risks from climate change in the financial sector. We review the climate stress scenarios currently employed by regulators, highlighting the need to (i) consider many transition risks as dynamic policy choices;...

We explore the design of climate stress tests to assess and manage macro-prudential risks from climate change in the financial sector. We review the climate stress scenarios currently employed by regulators, highlighting the need to (i) consider many transition risks as dynamic policy choices;...

We document how counterparty credit risk is priced in FX OTC derivatives. We employ a novel data-set of dealer-specific bid-ask quotes to analyze risk pricing using the decoupling of Swiss franc from the euro as an exogenous shock. First, the removal of the peg increased both the level of...

We construct a novel U.S. data set that matches bank holding company credit default swap (CDS) positions to detailed U.S. credit registry data containing both loan and corporate bond holdings to study the effects of banks' CDS use on corporate credit quality. Banks may use CDS to mitigate agency...

The latest financial crisis has exposed substantial weaknesses in the bank risk models used by national regulators as well as the Basel Accords. The study is aimed at presenting the evolution and critique of risk measures and risk models in banking, with a special focus on the dynamically...

This paper proposes a model to conduct macro stress test of credit risk for the banking system based on scenario analysis. We employ an original bank-level data set that splits bank credit portfolios in 21 granular categories, encompassing household and corporate loans. The results corroborate...

In this article, we discuss the calibration of wrong way risk (WWR) model by using information from the credit default swap (CDS) market. A Quanto CDS provides credit protection against the default of a reference entity but is denominated in a non-domestic currency. The payoff of a Quanto CDS...

We introduce a methodology from geophysics, Singular Spectrum Analysis (SSA), to obtain stable, noise-cleaned correlations for long term risk (e.g. counterparty risk). SSA is applied to time series to smooth them in a robust manner. The SSA-smoothed time series are then used to obtain the...

If the creditworthiness of a counterparty is a derivative of a commodity price, there is the potential to have right- or wrong-way exposures in respective commodity transaction. Identifying them is important, because otherwise credit costs might be inadequately calculated and wrong incentives...

In their work, Brigo and Capponi (2010) introduce a numerical approach for calculating credit valuation adjustments (CVA) for credit default swaps (CDS). In contrast to previous research, they consider the default of the party doing the calculation, and its correlation to the defaults of the...