ICM129-Introductory Quantitative Methods for Finance for IBF

Module Provider: ICMA Centre
Number of credits: 0 [0 ECTS credits]
Level:7
Terms in which taught: Autumn term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2022/3

Module Convenor: Dr Gita Persand
Email: gita.persand@icmacentre.ac.uk

Type of module:

Summary module description:

This module provides you with the foundation necessary to successfully understand and apply the quantitative techniques commonly used in the finance industry. The lecture covers the theory and key concepts. The seminars and workshop provide the opportunity to emphasise the practical applications of the techniques in the global financial markets.

Aims:

The objective of the module is to give students the quantitative tools so that they understand the analytical techniques used in the finance research literature. Via case studies and computer modelling exercises, students then learn how to apply these techniques to real data.

Ìý

Assessable learning outcomes:

By the end of the module, it is expected that the student will be able to

• Solve a system of equations


• Comfortably use mathematical operators


• Formulate and estimate econometric models


• Make statistical inference after estimating an econometric model

Additional outcomes:

The module also aims to encourage the development of IT skills and in particular the manipulation of data using statistical software packages. Students will also improve their ability to translate abstract theoretical concepts into practical solutions to financial problems.

Outline content:

Topic 1 Mathematical operations and Functions

Topic 2 Linear Algebra: system of equations and matrix algebra

Topic 3 Differentiation and linear programming

Topic 4 Regression Models

Topic 5 Statistical inference

Brief description of teaching and learning methods:

Core lectures supported by lab-based computer seminars and classroom-based tutor led discussion.

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures	10
Seminars	8
Guided independent study:	Ìý	Ìý	Ìý
Ìý Ìý Wider reading (independent)	15
Ìý Ìý Wider reading (directed)	15
Ìý Ìý Advance preparation for classes	10
Ìý Ìý Preparation for tutorials	22
Ìý Ìý Reflection	20
Ìý	Ìý	Ìý	Ìý
Total hours by term	100	0	0
Ìý	Ìý	Ìý	Ìý
Total hours for module	100

Summative Assessment Methods:

Method

Percentage

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

Formative assessment methods:

Penalties for late submission:

The below information applies to students on taught programmes except those on Postgraduate Flexible programmes. Penalties for late submission, and the associated procedures, which apply to Postgraduate Flexible programmes are specified in the policy £Penalties for late submission for Postgraduate Flexible programmes£, which can be found here: /cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/penaltiesforlatesubmissionpgflexible.pdf
The Support Centres will apply the following penalties for work submitted late:

• 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 five working days;
• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/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.

Assessment requirements for a pass:

Reassessment arrangements:

Additional Costs (specified where applicable):

Required text books:

Introductory Econometrics for Finance 2019 (4th edition) by Chris Brooks. Cambridge University Press ISBN: 978-1108436823. £49.99

Last updated: 22 September 2022