Advanced Decision Analysis with Portfolio and Project Modeling - ADA - In House Training

This in-house training programme can be customised to meet your specific requirements. It typically covers:

• Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview
• Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation
• Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion
• Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests
• Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast

See detailed overview