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

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