Real Estate Modelling and Forecasting

Victoria Ormond

The course introduces a broad range of quantitative techniques that are relevant for the analysis of real estate data, including event studies, hedonic price modelling, index number construction, seasonality and calendar effect identification, cointegration test, among others. Its particular features are extensive uses of cases and examples in lectures, and relevance to advanced undergraduate and Masers students who require knowledge of the econometric techniques commonly used in the real estate field.

Required Pre-Arrival Reading

 [To be compulsorily read before the beginning of the course]

  1. Mishkin, F. and S. Eakins (2012), Financial Markets and Institutions, 7th ed. Pearson Education.  (Chapter  1- 5)
  2. Ross, S., Westerfield, R. and Jordan, B. (2012) Fundamentals of Corporate Finance, 10th edition, Boston: McGaw-Hill  (Chapter 5 – 9 & 13)
  3. Hill, R. C., W. E. Griffiths, and G. C. Lim (2012). Principles of econometrics, fourth edition. Hoboken, NJ, Wiley. (Chapter 1-6)

 

Method of Assessment

  • 1 Final Exam: 45%
  • 1 Final Essay (2,500-3,000 words): 45%
  • Participation, progress and attendance: 10%

 

Lecture Hours: 12 x 1 hour 15 minutes (total 15 hours)

Seminar Hours: 8 x 1 hour 15 minutes (total 10 hours)