REMF30-Quantitative Methods for Real Estate Investment

Module Provider: Real Estate and Planning
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Autumn term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2016/7

Module Convenor: Dr Anupam Nanda

Email: a.nanda@reading.ac.uk

Summary module description:

Aims:
The module aims to provide students with a comprehensive introduction to Quantitative Methods and their use and application in the context of real estate. The course will cover core statistical and econometric topics and introduce quantitative concepts relating to investment and portfolio research.

Assessable learning outcomes:
Assessable outcomes
The module introduces contemporary statistical, econometric and other quantitative techniques. The importance of the unique characteristics of property markets will be emphasised and its impact upon the nature of applied quantitative analysis. Upon successful completion of the module students will:

-be familiar with a range of applied statistical techniques;
-be introduced to the concepts relating to econometric modelling;
-understand the application and the use of quantitative methods with real estate data;
-Understand techniques of index construction in real estate and the implications in relation to performance and risk measurement;
-understand the core issues relating to investment based quantitative techniques concerning risk and return and portfolio analysis;
-be able to evaluate the outcome of empirical research.

Additional outcomes:
The module will aid students in developing their technical and quantitative skills. It will also enhance students ability to analyse the economic and investment environments of real estate markets.

Outline content:
-Introduction to Statistics: Sampling and Hypothesis Testing
-Probability Distributions
-Real Estate Indices and Performance Measurement
-Portfolio Risk & Return and Portfolio Optimization
-Classical Least Squares Estimation and Hypothesis Testing
-Multivariate OLS and Diagnostic Testing
-Introduction to Time Series Econometrics and Basic Forecasting

Brief description of teaching and learning methods:
The module will comprise lectures and practical computer workshops. These workshops will complement the formal lectures and provide students with the opportunity to apply the methods taught.

Contact hours:
  Autumn Spring Summer
Lectures 10
Tutorials 10
Guided independent study 80
       
Total hours by term 100.00
       
Total hours for module 100.00

Summative Assessment Methods:
Method Percentage
Class test administered by School 100

Other information on summative assessment:
The assessment will be based on a two hour class test which will take place at the beginning of the Spring term.

Formative assessment methods:

Penalties for late submission:

Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Length of examination:

Requirements for a pass:
The pass-mark for this module 50%.

Reassessment arrangements:
Reassessment will be by the same method as for the module’s original assessment requirements, subject to variation by the Examination Board where appropriate.

Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 21 December 2016

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