Introduction
The objective of this course is to equip participants with a comprehensive understanding of how to measure, model, and manage real estate investment risk using both deterministic and probabilistic frameworks.
Through hands-on financial modelling in Excel, participants will learn to apply techniques such as sensitivity analysis, dynamic scenario modelling, Monte Carlo simulation, and Value at Risk (VaR) to evaluate project performance under uncertainty.
The course bridges theory and application, empowering participants to make data-driven, risk-adjusted investment decisions aligned with professional portfolio and asset management standards.
Learning Outcomes
By the end of this course, participants will be able to:
- Understand the key risks behind real estate investments
- Model uncertainty using sensitivity & scenario analysis
- Apply Monte Carlo simulation and Value at Risk (VaR)
- See how assumptions impact returns and project viability
- Make more confident, data-driven investment decisions
Course Curriculum
✔ Practical Excel-based modelling exercises
✔ Real-world case studies
✔ Downloadable materials
✔ Certificate upon completion
Students may be eligible for a discounted rate on this course. For more information, please contact our sales advisor:
Jacob Noble
j.noble@bayfieldtraining.com
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