AI2134 Quantitative Methods Applied to Real Estate and Financial Service 7.5 credits

The course is divided into the following main parts:

1. Regression analysis using cross sectional data. In this part, we study how we may establish and quantify relationships between variables, mainly on the real estate market. To do this we will first discuss the technique of regression analysis, both for simple regression analysis and for multiple regressionanalysis.
2. Regression analysis using time series data. In this part, we will study the central issues regarding regression analysis when applied to data over longer period, i.e., a time series. We will look at both time series analysis and residual analysis.

After taking this course students should be able to use, understand and interpret quantitative methods, e.g., regression analysis, to examine the real estate market, analyse trends, conduct forecasting and construct index series.

Admission to the masterprogramme in Real Estate Development and Financial Services (TFAFM).

A.H. Studenmund, /Using Econometrics: A practical guide/, International Edition, Pearson, 6th edition.

• INL1 - Assignment, 3.0 credits, grading scale: P, F
• TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Written exam, 4.5 credits, A-F.

Assignments, 3.0 credits,  P/F

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.