Technical paper
Swap vega in BGM: pitfalls and alternatives
Raoul Pietersz and Antoon PelsserPractitioners who are developing the Libor BGM model for risk management of a swap-based interest rate derivative be warned: for certain volatility functions the estimate of swap vega may be poor. This may occur for time…
The one-year lag
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How good is your information?
Fraud, opaque accounting practices and incomplete data are unavoidable. Butare they factored into a credit risk forecast? An emerging class of models doesthe job by assuming incomplete information. Barra's Lisa Goldberg explains.
Trading techniques
Rankings 2004
Storage strategies
Rankings 2004
Corridor variance swaps
This article studies a recent variation of a variance swap called a corridor variance swap (CVS). For this swap, returns are not counted in the realised variance calculation if the reference index level is outside some specified corridor. CVSs allow…
What’s a basket worth?
Peter Laurence and Tai-Ho Wang take a significant step in the valuation of basket options with positive and fixed weights. These model all index options, price, cap or equal weighted. Departing from the usual Black-Scholes framework, the authors provide…
Come together
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Bringing credit portfolio modelling to maturity
Michael Barco shows how to perform mark-to-market credit portfolio modelling by extendingthe well-known saddle-point technique, introducing spread and recovery rate volatility. Hethen tests his results on a fictitious portfolio, showing how asset…
Sensible and efficient capital allocation for credit portfolios
Michael Kalkbrener, Hans Lotter and Ludger Overbeck construct a new approach to economiccapital allocation, showing that three axioms uniquely determine a capital allocation scheme,and, more importantly, that any allocation satisfying the axioms is…
’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.