Technical paper/Credit risk

Rehabilitating innovation

The financial crisis has put greater focus on the accuracy of models, with some regulators criticising banks for placing too much reliance on model outputs. In an introduction to this month's Cutting Edge section, Mauro Cesa, Risk's technical editor, and…

Accelerated ensemble Monte Carlo simulation

Traditional vanilla methods of Monte Carlo simulation can be extremely time-consuming if accurate estimation of the loss distribution is required. Kevin Thompson and Alistair McLeod show that the ensemble Monte Carlo method, introduced here,…

Being two-faced over counterparty credit risk

A recent trend in quantifying counterparty credit risk for over-the-counter derivatives has involved taking into account the bilateral nature of the risk so that an institution would consider their counterparty risk to be reduced in line with their own…

Estimating credit contagion in a standard factor model

State-of-the-art credit risk portfolio models and the new Basel capital Accord consider only symmetric dependencies between borrowers in a portfolio, such as correlations. Recently, asymmetric dependencies have been introduced by Davis & Lo (2001), among…

Confidence intervals for corporate default rates

Rating agency default studies provide estimates of mean default rates over multiple time horizons but have never included estimates of the standard errors of the estimates. This is due, at least in part, to the challenge of accounting for the high degree…

Valuing CDOs of ABSs

Charles Smithson and Neil Pearson discuss the valuation of collateralised debt obligations (CDOs), with a close look at CDOs of subprime residential mortage-backed securities

Confidence intervals for corporate default rates

Rating agency default studies provide estimates of mean default rates over multiple time horizons but have never included estimates of the standard errors of the estimates. This is due at least in part to the challenge of accounting for the high degree…

The probability approach to default probabilities

Default estimation for low-default portfolios has attracted attention as banks contemplate the requirements of Basel II's internal ratings-based rules. Here, Nicholas Kiefer applies the probability approach to uncertainty and modelling to default…

Uncovering PD/LGD liaisons

Francisco Sanchez, Roland Ordovas, Elena Martinez and Manuel Vega consider the presence of correlation between default and recovery through the familiar variance of loss formula. Business cycle dependence permits a neat decomposition of the variance…

Going downturn

There is much debate regarding the definition of 'downturn' loss given default (LGD). In this article, Michael Barco offers an analytic approach for calculating downturn LGD so that credit risk capital is not underestimated or overestimated

Going downturn

There is much debate regarding the definition of 'downturn' loss given default (LGD). In this article, Michael Barco offers an analytic approach for calculating downturn LGD so that credit risk capital is not underestimated or overestimated

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