Make forecast projections based on historical records.Improve the management of uncertainty with a view to increasing competitiveness, reducing costs and increasing efficiency and profitability.Create simulation models in Microsoft Excel® and perform simulations with Oracle Crystal Ball®.
Through successful completion of this course, participants will be able to:
MONTE CARLO SIMULATION TOOLS WITH MICROSOFT PROJECT HOW TO
The allocation of probability distributions to the assumption variables allows predicting and understanding risk exposures and how to mitigate them, while preparing participants to tackle risk according to the policy of each country.Ĭurrently, public financial authorities in charge of carrying out risk analysis and/or monitoring fiscal risks use Monte Carlo simulation when dealing with retained risk in PPPs, or when forming a contingency plan Learning Outcomes Participants will learn to carry-out multiple tests and define potential investment results, calculate risk in the varying stages of infrastructure projects, and quantify the value for money. The objective of this course is to provide participants with a knowledge of key issues involved in the Monte Carlo (MC) simulation for risk analysis and project finance. The specialized literature illustrates how the Monte Carlo method can effectively evaluate the investment risk of PPP projects, and help investors make better decisions. This course aims to strengthen the capability of the financial analyst to accurately carry out a risk analysis and project finance evaluation.
The diversity, complexity and particularity of mega-infrastructure projects-including PPPs-require increasingly greater knowledge in risk analysis and project finance.