Technical paper/Regulation

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…

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…

Correlation stress testing for value-at-risk

The correlation matrix is of vital importance for value-at-risk (VAR) modelsin the financial industry. Risk managers are often interested in stressing a subsetof market factors within large-scale risk systems containing hundreds ofmarket variables…

Project risk: improving Monte Carlo value-at-risk

Cashflows from projects and other structured deals can be as complicated as we are willing to allow, but the complexities of Monte Carlo project modelling need not complicate value-at-risk calculation. Here, Andrew Klinger imports least-squares valuation…

Asian basket spreads and other exotic averaging options

Giuseppe Castellacci and Michael Siclari of OpenLink introduce a class of exotic options that simultaneously generalises both Asian and basket options. They develop approximate analytic models for real-time pricing of complex instruments that average…

A decision model for selling park and loan services

The park and loan model is useful for gas storages and pipelines. The concept can be applied to many ‘when to sell’-type decisions. Here, Huagang ‘Hugh’ Li considers selling park and loan services as a financial and statistical decision on revenue and…

Op risk modelling for extremes

Part 2: Statistical methods In this second of two articles, Rodney Coleman, of Imperial College London, continues his demonstration of the uncertainty in measuring operational risk from small samples of loss data.

The front-month proxy hedge

The front-month proxy hedge is a correlation-based hedge that seeks to neutralise the aggregate sensitivity of a portfolio to a futures curve by converting the individual futures hedges into a single hedge with respect to only the front-month contract…

Weather option pricing with transaction costs

The weather derivatives market is becoming more liquid, and dynamic hedging of weather options with weather swaps is now possible, though limited by transaction costs. Here Stephen Jewson investigates the effect of such hedging on option pricing

A joint state-space model for spot and futures power

Portfolio-wide risk management requires a model that accounts correctly for correlations between the spot asset and various futures products. Kjetil Kåresen and Egil Husby discuss a joint multi-factor model for power spot and futures prices and show how…

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