Technical paper/Monte Carlo simulation
Computation methods - Smoking adjoints: fast Monte Carlo Greeks
Monte Carlo calculation of price sensitivities for hedging is often very time- consuming. Michael Giles and Paul Glasserman develop an adjoint method to accelerate the calculation. The method is particularly effective in estimating sensitivities to a…
Smoking adjoints: fast Monte Carlo Greeks
Monte Carlo calculation of price sensitivities for hedging is often very time-consuming. Michael Giles and Paul Glasserman develop an adjoint method to accelerate the calculation. The method is particularly effective in estimating sensitivities to a…
A credit loss control variable
Viktor Tchistiakov, Jeroen de Smet and Peter-Paul Hoogbruin explain and demonstrate how the efficiency of Monte Carlo simulation in valuing a portfolio of credit risky exposures is improved by the use of the Vasicek distribution as a control variable. An…
Operational and market risks of a regulated power utility
Victor Dvortsov and Ken Dragoon present an analytical method for including market and operational risks when estimating utility portfolio value-at-risk
Evaluating credit risk models using loss density forecasts
The evaluation of credit portfolio risk models is an important issue for both banks and regulators. It is impeded by the scarcity of credit events, long forecasthorizons, and data limitations. To make efficient use of available information, the…
VAR: history or simulation?
Greg Lambadiaris, Louiza Papadopoulou, George Skiadopoulos and Yiannis Zoulis assess theperformance of historical and Monte Carlo simulation in calculating VAR, using data from theGreek stock and bond market. They find that while historical simulation…
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…
How to avoid overestimating capital charges for op risk
Pooling internal and external data is a central issue to estimating capital charges for operational risk. Here, Nicolas Baud, Antoine Frachot and Thierry Roncalli of Crédit Lyonnais discuss the methodology they have developed.
Reconciling ratings
How should internal credit ratings be calibrated to long-term default rates? This multibillion-dollar question is at the heart of the debate over Basel’s IRB approach. In thisarticle, Stefan Blochwitz and Stefan Hohl use simulations to demonstrate wide…
Hedge your Monte Carlo
Option pricing
Beyond the lognormal
Value-at-risk
Calculating with counterparties
Masterclass – with JP Morgan