After five years of work, a group of 19 big banks still get a failing grade from supervisors on their ability to pull together and report counterparty exposures. Is it all a question of cost? Fiona Maxwell reports
Stochastic modelling of reinsurance credit risk
The simple link from default to LGD
Credit risk factor models tend to have a narrow focus on the Gaussian case, use copula functions that don’t work well with the martingale methods used in pricing, and can introduce arbitrage. Dariusz Gatarek and Juliusz Jablecki show how an increasing...
HSBC has attempted to improve the accuracy of its credit portfolio economic capital forecasting by extending its model beyond a one-year horizon
A 30-fold increase in its computing grid, enabling coverage of 90% of the bank's derivatives business - a two-year overhaul of the counterparty risk framework at Royal Bank of Scotland wins this year's in-house system award
Not too big to fail?
European regulators have overhauled bank reporting standards to ensure comparability, with new Finrep and Corep templates to be rolled out from this month. The latest step has been to agree common definitions for forborne and non-performing exposures....
Rising costs and flexible collateral approaches overcome India resistance to CSAs
Increased funding options welcomed in the face of a potential spike in Australia consumer credit growth
Derivatives pricing and expected exposure models must be backtested as a basic regulatory requirement. But what does this mean exactly, and how can it be used to reserve against model risk? Lee Jackson introduces a general backtesting framework for market-calibrated...
The existence of multiple rule books may deter issuers and investors in securitisation
Credit factor models tend to obscure the economics in favour of tractability – and this puts them at odds with rigorous arbitrage-free martingale pricing methods. To resolve this, quants are looking more closely at what a systematic risk factor actually...
Systematic risk factors redefined