course-details-portlet

BMAC8104 - Real Estate Finance

About

Lessons are not given in the academic year 2020/2021

Course content

This course introduces students to the theoretical foundations and modern research methodologies in real estate finance. Students gain fundamental insights into the research that has developed over more than a decade on current issues in residential and commercial real estate such as macroeconomic fundamentals of real estate markets, property valuation, mortgage securitization, and asset pricing. There will be tutorials in R to provide parctical experience.

Topics:
- Real Estate and the Macroeconomy
- Structure and Pricing of Mortgages
- Hedonic Valuation and Spatial Regression Models
- Real Estate Asset Pricing

Learning outcome

Knowledge: Students will become familiar with the properties of real estate data, the fundamental drivers and main indicators of real estate prices, as well as the pricing mechanism of mortgage backed securities. The course will prepare the students with various theoretical models and econometric techniques to study major topics in the field of real estate finance.

Skills: At the end of the course, students will have a profound knowledge of theoretical models in real estate finance. The course aims to provide students with a profound knowledge of econometric tools in micro- and macroeconometrics to analyze real estate markets. They will achieve programming skills in order to implement empirical models and to interpret their results.

Competence: Because the course covers the state-of-the-art techniques to analyze real estate markets, students will develop analytical and writing skills which allow them to conduct their own research.

Learning methods and activities

PhD workshops and lectures.

Students should bring their own laptops to class.

Further on evaluation

60% of the grading is related to a term paper which includes either a replication or extension of a published paper or the implementation of students' own research ideas. The latter could also serve as a starting point for a research project within their PhD thesis.

40% of the grading consists of two graded assignments.

Required previous knowledge

Students should be interested in real estate finance and investments and are expected to demonstrate a command of micro- and macroeconomic theory, econometrics and statistics, as well as finance at master's level.

More on the course

No

Facts

Version: 1
Credits:  3.0 SP
Study level: Doctoral degree level

Coursework

No

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Business Economics
  • Financial Economics
  • Economics and Administration
  • Economics
  • Management Accounting and Control
Contact information

Department with academic responsibility
NTNU Business School

Phone:

Examination

  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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