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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Econometrics in Climate Change Finance (CMSE11627)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis course aims to equip students with in-depth knowledge and understanding of the econometrics techniques that are used in the area of climate change finance. Students will develop a conceptual and critical understanding of these techniques and will learn how to implement some of these methods in the computer workshops. The methods covered include classical linear regression, event studies, and panel regression techniques.
Course description Econometrics in Climate Change Finance is a more advanced, follow-up course to Research Methods for Climate Change Finance, designed specifically for students in the MSc in Climate Change Finance & Investment, who are interested in refining existing and developing new quantitative research techniques commonly used in the area of climate change finance.

The course covers the classical linear regression model in detail and helps student develop conceptual understanding and hand-on implementation skills of other widely-used econometric techniques, such as event study and panel regression techniques. Students are expected to develop an in-depth understanding of these techniques, hand-on skills in implementing some of them, and a critical mindset towards empirical research. Skills acquired in this course are transferable and may be applied in the dissertation.

Outline Content

- Classical Linear Regression Model (CLRM)

- Assumptions and diagnostics for the CLRM

- Event study methodology

- Panel regression techniques

Student Learning Experience

The course will be delivered through weekly lectures. There will also be four weekly computer lab workshops starting from weeks 6 onward, in which students will learn to practically implement some of these econometric techniques on an individual basis.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2024/25, Not available to visiting students (SS1) Quota:  None
Course Start Block 4 (Sem 2)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 7.5, Seminar/Tutorial Hours 7.5, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 83 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% Report (Individual) - Assesses all course Learning Outcomes.
Feedback Formative: Feedback will be provided throughout the course.

Summative: Feedback will be provided on the assessment within agreed deadlines.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Identify, critically evaluate, select, justify and apply appropriate econometric research techniques to relevant research questions, ensuring that the evidence generated, its analysis and the conclusions drawn from it are valid and reliable.
  2. Collect data and perform empirical analysis with the aid of econometrics software packages.
  3. Present and critically discuss the findings of research and empirical analysis consistent with academic conventions.
Reading List
Brooks, C., 2008. Introductory Econometrics for Finance. Cambridge University Press.

Bryman, A., Bell, E., 2011. Business Research Methods. Oxford University Press.

Cortinhas, C., Black, K., 2012. Statistics for Business and Economics, John Wiley & Sons Ltd: Chichester.

Dougherty, C., 2001. Introduction to Econometrics. Oxford University Press.

Koop, G., 2006. Analysis of Financial Data, John Wiley & Sons Ltd: Chichester. Accessible text for students new to statistics/econometrics.

Wooldridge, J.M., 2000. Introductory Econometrics: A Modern Approach. South-Western College Publishing.
Additional Information
Graduate Attributes and Skills Knowledge and Understanding

After completing this course, students should have:

A critical understanding of several widely used econometric techniques in the area of carbon finance/climate change.

Critical knowledge and understanding of some recent research in carbon finance/climate change.

Practice: Applied Knowledge, Skills and Understanding

After completing this course, students should be able to:

Implement econometric techniques to study problems in carbon finance/climate change.

Critically assess and determine whether findings from econometric analysis are valid.

Cognitive Skills

After completing this course, students should be able to:

Develop analytical, numerical and problem solving skills

Critically assess existing understanding in a defined area of knowledge;

Recognize econometric tests and designs that are appropriate to the analysis of particular circumstances;

Use relevant literature and data reference materials.

Subject Specific Skills

After completing this course, students should be able to:

Understand and apply econometric techniques to study problems in climate change finance.

Understand how econometric toolkits could be applied to their dissertation research projects.

Communication, ICT, and Numeracy Skills

After completing this course, students should be able to:

Communicate technical, conceptual and critical information clearly and concisely.

Apply econometric techniques using statistical software packages.
KeywordsNot entered
Course organiserDr Yupu Zhang
Course secretaryMr Pete Park
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