澳门六合彩开奖记录
REMF37: Quantitative Techniques
Module code: REMF37
Module provider: Real Estate and Planning; Henley Business School
Credits: 20
Level: 7
When you'll be taught: Semester 1
Module convenor: Dr Yiquan Gu, email: yiquan.gu@henley.reading.ac.uk
Pre-requisite module(s):
Co-requisite module(s):
Pre-requisite or Co-requisite module(s):
Module(s) excluded:
Placement information: NA
Academic year: 2024/5
Available to visiting students: No
Talis reading list: Yes
Last updated: 19 November 2024
Overview
Module aims and purpose
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 module 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.
Module learning outcomes
By the end of the module, it is expected that students will be able to: 聽
- Demonstrate a systematic understanding of a聽range of applied statistical techniques.
- Comprehensively understand concepts relating to econometric modelling.
- Develop a practical understanding of聽the application and the use of quantitative methods with a focus on real estate markets.
- Develop a critical awareness of strengths and weaknesses of eceonometric modelling techniques.
- Evaluate outcomes of original empirical research.
Module content
- Introduction to econometrics and simple regression assumptions.
- Hypothesis testing.
- Multiple regression, t-ratios and testing multiple hypotheses.
- Goodness of fit statistics and hedonic models.
- Heteroscedasticity and autocorrelation.
- Multicollinearity, functional form, and normality.
- Model constancy and model specification.
Structure
Teaching and learning methods
The module is taught using a combination of lectures and聽seminars. Each week, one lecture will be devoted to presenting and discussing key concepts and methods. This will be followed by a seminar where concepts and methods are applied. Students are expected to complete all work sets before their seminars, and they may be called upon to answer questions.
Study hours
At least 30 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.
聽Scheduled teaching and learning activities | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Lectures | 20 | ||
Seminars | 9 | ||
Tutorials | |||
Project Supervision | |||
Demonstrations | |||
Practical classes and workshops | |||
Supervised time in studio / workshop | |||
Scheduled revision sessions | 1 | ||
Feedback meetings with staff | |||
Fieldwork | |||
External visits | |||
Work-based learning | |||
聽Self-scheduled teaching and learning activities | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Directed viewing of video materials/screencasts | |||
Participation in discussion boards/other discussions | |||
Feedback meetings with staff | |||
Other | |||
Other (details) | |||
聽Placement and study abroad | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Placement | |||
Study abroad | |||
聽Independent study hours | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Independent study hours | 170 |
Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.
Semester 1 The hours in this column may include hours during the Christmas holiday period.
Semester 2 The hours in this column may include hours during the Easter holiday period.
Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.
Assessment
Requirements for a pass
Students need to achieve an overall module mark of 50% to pass this module.
Summative assessment
Type of assessment | Detail of assessment | % contribution towards module mark | Size of assessment | Submission date | Additional information |
---|---|---|---|---|---|
Written coursework assignment | Coursework | 40 | 2,500 words | Week 12, Semester 1 | Econometric models are routinely applied in real estate research. The purpose of this project is to analyse a real estate topic using analytically rigorous econometric methods. You are expected to build empirical models, critically assess model diagnostics, and interpret model outcomes, with reference to relevant literature. |
Online written examination | MCQ Exam | 60 | 2 Hours | Semester 1 assessment period | Multiple-choice based exam |
Penalties for late submission of summative assessment
The Support Centres will apply the following penalties for work submitted late:
Assessments with numerical marks
- where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
- the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
- where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
Assessments marked Pass/Fail
- where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.
The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/penaltiesforlatesubmission.pdf
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.
Formative assessment
Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.
Formative assessment includes a series of seminar exercises where students attempt to solve problems. Participation is essential to acquire full knowledge. Seminars will provide feedback to students who want to improve their knowledge and they should be regarded as an effective feedback system to test abilities and ask for clarifications.
Weekly practice MCQ tests via Blackboard.
Reassessment
Type of reassessment | Detail of reassessment | % contribution towards module mark | Size of reassessment | Submission date | Additional information |
---|---|---|---|---|---|
Written coursework assignment | Coursework | 40 | 2,500 Words | During the university resit period | |
Online written examination | MCQ Exam | 60 | 2 Hours | During the university resit period | Multiple-choice based exam |
Additional costs
Item | Additional information | Cost |
---|---|---|
Computers and devices with a particular specification | ||
Printing and binding | ||
Required textbooks | Brooks, C. (2019). Introductory Econometrics for Finance, 4th Edition, Cambridge University Press, Cambridge (UK) | Estimated 拢45 (available as e-book via UoR Library) |
Specialist clothing, footwear, or headgear | ||
Specialist equipment or materials | ||
Travel, accommodation, and subsistence |
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.