Monte Carlo risk analysis

Monte Carlo simulations can be used to conduct risk analysis as part of data analysis and economic regulation assignments.

These simulations involve the computer generation of a large number of scenarios, constructed by re-combining data about historical events and/or by extrapolating past observations using a probability model. These virtual scenarios can then be used to compile statistical estimates of concept such as expectation values or value-at-risk.

We have the skills and software tools necessary to develop a wide range of Monte Carlo simulation analyses.

*Franck Latrémolière

*Monte Carlo simulations of Ofgem incentive scheme

See also: Modelling

Reckon LLP16 Red Lion Square, London, WC1R notices
Reckon LLP is an economics consultancy with expertise in data analysis, economic regulation and competition law.