Add real estate risk calculations to any financial model and use them to advise clients, lenders, joint-venture partners and other stakeholders on the risk-adjusted returns of real estate projects and their values.
Delegates will learn how to incorporate risk calculations tools to their financial models, such as sensitivity tables, dynamic scenarios and Monte-Carlo based simulations. By adding those quantitative analysis tools, delegates will be more capable of performing investment and lending decisions based on robust financial thinking on a quantitative and qualitative basis.
Who should attend this course:
The Real Estate Risk Modelling and Analysis course is suitable for those willing to develop their finance and modelling skills to the next level. This is a course aimed at more experienced modellers who would like to improve their real estate finance and modelling techniques and become an expert in the property finance field.
Dates: 28, 29 May & 5 June 2020
Duration: 3 mornings (9am to 1pm)
CPD Hours: 10.5
Maximum number of delegates: 8
Course fee: £775 + VAT
Real estate risk
- Valuation risks
- Risk factors affecting property values
- Communicating uncertainties to clients, public, lenders and regulators
Risk Modelling and Analysis
- Sensitivity assumptions – assumption sets to be used across different assets, stress test variables
- Sensitivity matrix: one and two factors data matrix
- Stress tests
- Dynamic scenario managers:
- Comparison of base case scenario to adjusted scenarios to analyse future performance
- Monte Carlo simulation using statistical analysis and VBA