REMF37-Quantitative Techniques

Module Provider: Real Estate and Planning
Number of credits: 20 [10 ECTS credits]
Terms in which taught: Autumn term module
Non-modular pre-requisites:
Modules excluded:
Current from: 2019/0

Module Convenor: Dr Ranoua Bouchouicha


Type of module:

Summary module description:

The module covers quantitative techniques and methods and their applications in the context of real estate. It aims to provide students with knowledge in statistics and econometric modelling with a focus on real estate data. This module will also introduce statistical software.


The module aims to provide students with a comprehensive introduction to quantitative techniques and methods and their use and application in the context of real estate investment. The course will cover a wide range of core econometric topics. Case studies from the academic literature are employed to demonstrate the potential uses of each approach in both a general finance and specific real estate context. Extensive use is also made of econometric software to demonstrate the application of the techniques in practice.

Assessable learning outcomes:


The module introduces contemporary statistical and econometric techniques. The importance of the unique characteristics of property markets will be emphasised, as well as their impacts upon the nature of applied quantitative analysis. Upon successful completion of the module students should be able to: 

  • demonstrate familiarity with a range of applied statistical techniques; 

  • understand concepts relating to econometric modelling; 

  • understand the application and the use of quantitative methods with real estate data; 

  • critically discuss the core issues relating to investment-based quantitative techniques concerning risk and return and portfolio analysis; 

  • 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:

  • Classical Ordinary Least Squares Estimation (OLS) 

  • Hypothesis Testing 

  • Multivariate OLS and Diagnostic Testing 

  • Vector Autoregressive Models (VAR) 

  • Cointegration and Error Correction Models 

  • Forecasting in Real Estate Markets 

  • Modelling market volatility 

Global context:

This module may incorporate international situations and examples. 

Brief description of teaching and learning methods:

Contact hours:
  Autumn Spring Summer
Lectures 20
Tutorials 9 1
Guided independent study:      
    Wider reading (independent) 40
    Wider reading (directed) 60
    Exam revision/preparation 40
    Preparation for tutorials 30
Total hours by term 159 0 41
Total hours for module 200

Summative Assessment Methods:
Method Percentage
Written exam 60
Written assignment including essay 40

Summative assessment- Examinations:

One two-hour examination 

Summative assessment- Coursework and in-class tests:

Individual written assignment comprising of approximately 2,000 words to be submitted in the last teaching week of the autumn term. 

Formative assessment methods:

For the computer workshops a range of datasets will be used to explain concepts, methods and tests presented in the lectures. 

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:

Assessment requirements for a pass:
The pass-mark for this module is 50%.

Reassessment arrangements:

Re-assessment will be by 3 hour written exam.

Additional Costs (specified where applicable):


Last updated: 28 August 2019


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