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Technical paper

’Tis the season...

Abstract: Aurelian Tröndle presents a general framework for modelling prices of storable and non-storableenergy assets, which sheds light on different market fundamentals, and showshow energy market volatility is seasonal and anything but stable. The…

Bringing credit portfolio modelling to maturity

Michael Barco shows how to perform mark-to-market credit portfolio modelling by extending the well-known saddle-point technique, introducing spread and recovery rate volatility. He then tests his results on a fictitious portfolio, showing how asset…

Calculating transfer risk using Monte Carlo

Marco van der Burgt constructs a model of emerging market transfer risk based on a country’s foreign exchange reserves that is combined with facility-dependent risk factors that determine counterparty exposure in the event of a moratorium. He then…

Mark up the scorecard

Sergio Scandizzo and Roberto Setola explore the application of a scorecard approach to the measurement of operational risk, assessing both its reliability as a risk-management tool and the practicalities of its implementation.

Benchmarking asset correlations

Basel II stipulates that the asset correlation to be used in calibration of obligor risk weights is20%. Here, Alfred Hamerle, Thilo Liebig and Daniel Rösch use a parametric model to empirically obtain asset correlations from a large database of…

Economic capital – how much do you really need?

Economic capital is becoming the language of risk. While market, credit and operational risk have different determinants and use different methodologies, the levels of risk can all be summarised in a common dimension – the amount of economic capital…

Understanding the expected loss debate

The final draft of the new global Accord on bank regulatory capital – Basel II – has been delayed. A critical and unresolved issue is whether banks should include expected losses in their measure of credit risk. The IMF's Paul Kupiec reports on efforts…

All your hedges in one basket

Leif Andersen, Jakob Sidenius and Susanta Basu present new techniques for single-tranche CDO sensitivity and hedge ratio calculations. Using factorisation of the copula correlation matrix, discretisation of the conditional loss distribution followed by a…

Using the grouped t-copula

Student-t copula models are popular, but can be over-simplistic when used to describe credit portfolios where the risk factors are numerous or dissimilar. Here, Stéphane Daul, Enrico De Giorgi, Filip Lindskog and Alexander McNeil construct a new,…

Benchmarking asset correlations

Basel II stipulates that the asset correlation to be used in calibration of obligor risk weights is 20%. Here, Alfred Hamerle, Thilo Liebig and Daniel Rösch use a parametric model to empirically obtain asset correlations from a large database of…

Breaking down the model

Brett Humphreys and Andy Dunn outline a method to help energy companies minimise potential model risk and thereby avoid costly errors in valuing deals.

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