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IC205: Introductory Econometrics for Finance
Module code: IC205
Module provider: ICMA Centre; Henley Business School
Credits: 20
Level: 5
When you'll be taught: Semester 2
Module convenor: Dr Lisa Schopohl, email: l.schopohl@icmacentre.ac.uk
Pre-requisite module(s): BEFORE TAKING THIS MODULE YOU MUST TAKE IC104 OR ( TAKE MM1F28 (Compulsory)
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: Yes
Talis reading list: No
Last updated: 19 November 2024
Overview
Module aims and purpose
Building on the Introductory Quantitative Techniques for Finance module, this module aims to give students a solid understanding of the econometric approaches that are commonly employed to test financial theories. It introduces students to the econometric techniques that are used in the empirical finance literature. Students will apply these techniques using an econometric software package and they will be analysing real-world data to answer questions in finance.
This module contains a Career Management Skills component which will enable students to Â
- Develop self-awareness in the context of career decision making Â
- Learn about potential career paths they can pursue in financial services Â
- Practice research, networking and informational interviewing Â
- Reflect upon their learning and determine next steps for their developmentÂ
- Appreciate the need for continuing professional learning and development throughout their career
Module learning outcomes
By the end of the module, it is expected that students will be able to:
- explain and critically discuss the fundamentals of the econometric techniques employed to estimate and test econometric models and how they are applied in empirical finance;
- formulate and validate econometric models testing financial theories and hypotheses and interpret the results from an estimated econometric model;
- assess and articulate skills, interests, values and personality traits in the context of career decision making (self-awareness)
- conduct research into companies and job roles and critically reflect on the need for continuing professional learning and development throughout their career
Module content
Module content
- Introduction to Econometrics
- Classical Linear Regression Model (CLRM)
- Assumptions of the CLRM
- Multiple Linear Regressions
- Hypothesis Testing for single and multiple hypotheses
- Goodness of Fit Statistics
- Violations of the CLRM Assumptions: causes, consequences, solutions
- Formulating Econometric Models
Structure
Teaching and learning methods
The module will be primarily lecture-based with directed textbook based supplementary reading. There will be a number of tutorial/seminar sessions – both classroom-based and computer lab-based – to aid students in developing more in-depth understanding about the linkage between topics and in applying the econometric techniques using econometric software. The interactive career workshops will introduce students to practical topics related to their professional development.
This module may be taught in a different Semester if you are studying at our campus in Malaysia.
For students studying at our campus in Malaysia: This module may be taught in a different semester and the breakdown of study hours may differ to those set out in the Study Hours table (please refer to the Module Handbook for the correct breakdown). In addition, you will be required to complete an additional 40 hours of study, taking the total number of study hours to 240 for this module. This is to comply with the Malaysian Quality Agency (MQA).
Study hours
At least 36 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.
 Scheduled teaching and learning activities |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Lectures | 20 | ||
Seminars | 16 | ||
Tutorials | |||
Project Supervision | |||
Demonstrations | |||
Practical classes and workshops | 6 | ||
Supervised time in studio / workshop | |||
Scheduled revision sessions | |||
Feedback meetings with staff | |||
Fieldwork | |||
External visits | |||
Work-based learning | |||
 Self-scheduled teaching and learning activities |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Directed viewing of video materials/screencasts | 6 | ||
Participation in discussion boards/other discussions | |||
Feedback meetings with staff | |||
Other | |||
Other (details) | |||
 Placement and study abroad |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Placement | |||
Study abroad | |||
 Independent study hours |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Independent study hours | 152 |
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
40% weighted average mark
Summative assessment
Type of assessment | Detail of assessment | % contribution towards module mark | Size of assessment | Submission date | Additional information |
---|---|---|---|---|---|
In-person written examination | In-person written examination | 65 | 2 hours | Semester 2 Assessment week 1 | Examination testing the fundamentals of the econometric techniques employed to estimate and test econometric models and how they are applied in empirical finance |
Written coursework assignment | Econometric group project | 25 | 2,500 words | Semester 2 Week 12 Teaching | Group Project involving the use of the econometric software package to undertake econometric analyses and interpret the outcomes |
Written coursework assignment | Careers Essay | 10 | 750 words | Semester 2 Week 9 Teaching | Individual essay on their personal view of the career path based on their research |
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.
Weekly MCQ-based practice tests of the econometric concepts on Blackboard.
Career Management Skill: Engagement with the workshops / classes
Reassessment
Type of reassessment | Detail of reassessment | % contribution towards module mark | Size of reassessment | Submission date | Additional information |
---|---|---|---|---|---|
In-person written examination | In-person written examination | 100 | 2 hours | During the University resit period | Re-examination in the style of the original examination |
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) | £45 (but available as e-book via UoR Library) |
Specialist clothing, footwear, or headgear | ||
Specialist equipment or materials | Calculator Recommended Models: 1. Casio FX-83GTx or Casio FX-83GTPLUS 2. Casio FX-85GTx or Casio FX-85GTPLUS 3. Casio FX-85MS 4. Texas Instruments BA II Plus | £15 |
Travel, accommodation, and subsistence |
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.