EC916-15 Topics in Global Finance
Introductory description
This module is a challenging technical course. It covers advanced topics in global finance and aims to equip students with a variety of theoretical and econometric tools to understand current events in the global economy and to analyse policy responses. It departs from standard theoretical models of international finance and uses mathematical tools and econometric methods to build up from these models and to assess complex issues relating to the global finance.
Module aims
The aim of the module is to equip students with the analytical tools and knowledge to study and understand key issues in international finance.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
The syllabus may cover, but is not limited to, the following topics:
- Effects of financial integration
- General equilibrium in international financial markets
- International transmission of shocks
- Global imbalances and international financial architecture
- Models of banking and financial crises
Learning outcomes
By the end of the module, students should be able to:
- Subject Knowledge and Understanding:...understand key issues in foreign exchange markets, banking and financial crises, and global imbalances. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars and independent study. The summative assessment methods that measure the achievement of this learning outcome are: Examination and test.
- Key Skills:...conduct individual and collaborative research into a global finance topic, using world wide web and library resources. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars and independent study. The summative assessment methods that measure the achievement of this learning outcome are: Examination and test.
- Subject Knowledge and Understanding:...demonstrate knowledge of asset pricing, corporate financial policy and governance. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars and independent study. The summative assessment methods that measure the achievement of this learning outcome are: Examination and test.
- Subject-specific skills/Professional Skills:...communicate knowledge and understanding of economics in written and in mathematical forms. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars and independent study. The summative assessment methods that measure the achievement of this learning outcome are: Examination and test.
- Subject-specific skills/Professional Skills: Abstract and simplify basic economic problems through the application of simple theoretical models The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars and independent study The summative assessment methods that measure the achievement of this learning outcome are: Examination and test
- Subject-specific skills/Professional Skills:...analyse and formulate models for understanding and solving problems. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars and independent study. The summative assessment methods that measure the achievement of this learning outcome are: Examination and test.
Indicative reading list
Please see Talis Aspire link for most up to date list.
View reading list on Talis Aspire
Subject specific skills
Students will have the opportunity to develop skills in:
Analytical thinking and communication
Analytical reasoning
Critical thinking
Problem-solving
Abstraction
Policy evaluation
Concepts of Simultaneity and Endogeneity
Analysis of optimisation
Understanding of Uncertainty and Incomplete Information
Transferable skills
Students will have the opportunity to develop:
Numeracy and quantitative skills
Written communication skills
Oral communication skills
Mathematical, statistical and data-based research skills
Study time
Type | Required |
---|---|
Lectures | 18 sessions of 1 hour (12%) |
Seminars | 4 sessions of 1 hour (3%) |
Private study | 128 hours (85%) |
Total | 150 hours |
Private study description
Private study will be required in order to prepare for seminars/classes, to review lecture notes, to prepare for forthcoming assessments, tests, and exams, and to undertake wider reading around the subject.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D2
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Test 1 | 20% | No | |
In-person Examination | 80% | No | |
A paper which examines the course content and ensures learning outcomes are achieved.
|
Assessment group R1
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
In-person Examination | 100% | No | |
A paper which examines the course content and ensures learning outcomes are achieved. |
Feedback on assessment
The Department of Economics is committed to providing high quality and timely feedback to students on their assessed work, to enable them to review and continuously improve their work. We are dedicated to ensuring feedback is returned to students within 20 University working days of their assessment deadline. Feedback for assignments is returned either on a standardised assessment feedback cover sheet which gives information both by tick boxes and by free comments or via free text comments on Tabula, together with the annotated assignment. For tests and problem sets, students receive solutions as an important form of feedback and their marked assignment, with a breakdown of marks and comments by question and sub-question. Students are informed how to access their feedback, either by collecting from the Department of Economics Postgraduate Office or via Tabula. Module leaders often provide generic feedback for the cohort outlining what was done well, less well, and what was expected on the assignment and any other common themes. This feedback also includes a cumulative distribution function with summary statistics so students can review their performance in relation to the cohort. This feedback is in addition to the individual-specific feedback on assessment performance.
Pre-requisites
The module demands advanced knowledge of mathematics for economists, macroeconomics, international macroeconomics and econometrics.
Courses
This module is Optional for:
- Year 1 of TECA-L1P6 Postgraduate Taught Economics
This module is Option list A for:
- Year 1 of TECA-L1P7 Postgraduate Taught Economics and International Financial Economics