MyAV·¶

The characteristics of real estate investments are markedly different from those of more traditional asset classes, like stocks and bonds, with many questions remaining about risk, return, allocation targets, and investment strategy. However, real estate is the largest alternative asset class of an institutional investors’ portfolios. In addition to real estate being an important asset class, the sector also plays a critical role in critical issues related to sustainability with ESG considerations becoming central in all real estate investment decisions. In the ‘Property Investment Analysis’ module, we build on skills developed during its predecessor modules and shows how to apply financial concepts in the practice of investing in real estate assets. Specifically, it focuses on data driven approaches to investment decision making with a series of lectures on the financial concepts governing these decisions. Following these lectures, we analyse real-life case studies to demonstrate how different issues in real estate investing can be addressed, giving the students an opportunity to use data and software for giving investment recommendations.

Students will be provided with:

• An understanding of the pros and cons of each real estate investable asset
• A toolkit to analyse investments in individual real assets considering the investor’s profile
• An approach to designing the negotiation strategy for a sale/acquisition of a real asset
• Data-driven approaches to efficiently incorporate real estate assets in an investment portfolio

At the end of the module, students will be able to:

1. Remember: The ways in which one can invest in real estate assets.
2. Understand: The characteristics of and differences between each investment vehicle.
3. Apply: Data collection and analysis tools to make sound investment decisions.
4. Analyse: Data and strategies using statistical software.
5. Evaluate: What investments are good opportunities and which are better fits for different portfolios.