Enhance your ability to analyze the financial risks and opportunities of today's real estate marketplace by leveraging quantitative analytics techniques taught in popular MIT graduate courses. Over the course of two accelerated days, you’ll master common real estate financial analysis methods, acquire new approaches for financial modeling, and assess cutting-edge quantitative tools for managing portfolio risk.
THIS COURSE MAY BE TAKEN INDIVIDUALLY OR AS PART OF THE PROFESSIONAL CERTIFICATE PROGRAM IN REAL ESTATE FINANCE & DEVELOPMENT
Real estate investment markets, like other markets and the underlying economy, face times perhaps more uncertain than any in over a generation. Crises ranging from climate change to migration to pandemics raise questions for real estate investors. To be successful in today's uncertain market, commercial real estate industry participants need at least some familiarity with not only the basics, but also some more advanced and cutting-edge real estate financial analysis techniques, approaches to financial modeling, newly available real estate data sources, and quantitative tools available to manage portfolio risk.
This course provides insights into analyzing the investment risks and opportunities in today's marketplace by utilizing quantitative analytics taught in popular graduate courses at MIT. Current real estate investment market dynamics and trends, possible developments in securitization and derivatives, example transactions and identification of the most active capital sources will also be discussed.
This course has been approved for 16 CPD credits toward renewal of the CoreNet Global MCR designation.
- Understand fundamental financial economic concepts and tools as applied to real estate investment.
- Become conversant with the cutting-edge of real estate investment, relevant for institutional investment management.
- Understand the basics of real estate risk management techniques and products.
Who Should Attend
This course is applicable to a wide range of professionals across the real estate, banking, finance/investment, and insurance industries. Specifically, the course may be of interest to analysts and investment professionals, fund managers, investment portfolio managers, financial advisors, investment bankers, fixed-income analysts, financial risk managers, global financial market specialists, and professionals working in macroeconomic policy. More generally, this class can be valuable to anyone dealing with global financial markets and real estate investments.
Laptops or tablets are required to access course materials. All materials will be distributed electronically.
Please note all times are US Eastern Daylight Time. Schedule is subject to change.
TOPICS WILL INCLUDE:
Portfolio Theory & Real Estate
Classical Mean-Variance Optimization and the Risk Parity simplification applied to the mixed asset (total wealth) portfolio implications for real estate.
Capital Flows & Commercial Property Pricing
Current state of the global real estate investment market from the perspective of one of the institutional investment industry’s most respected information sources.
The Cutting Edge in Commercial Property Price Dynamics
Risk vs Uncertainty: Investment Property Price Dynamics
Indexing real estate price movements. The nature and sources of uncertainty and price dynamics in the private asset market for investment property. Real estate and equilibrium asset pricing.
Investment Property Price Dynamics
Flexibility & Uncertainty in Real Estate Valuation
Continuing from previous discussion of real estate price dynamics, consider the implications for the value of flexibility in investment.
Evaluating Joint Venture Equity Partnership Terms
An important and widely relevant application of the preceding material: advanced capital market theory and simulation of real estate price dynamics to evaluate a typical development project JV waterfall.
Equity International Case Discussion
The type of content you will learn in this course, whether it's a foundational understanding of the subject, the hottest trends and developments in the field, or suggested practical applications for industry.
How the course is taught, from traditional classroom lectures and riveting discussions to group projects to engaging and interactive simulations and exercises with your peers.
What level of expertise and familiarity the material in this course assumes you have. The greater the amount of introductory material taught in the course, the less you will need to be familiar with when you attend.