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ICM129 - Introductory Quantitative Methods for Finance for IBF

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: 2023/4

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 practice MCQ quizzes offer an opportunity to practice the techniques and illustrate practical applications of the techniques in the global financial markets.



The module is delivered via online screencasts.


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.



 


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:

Screencasts in which core topics are introduced as well as applications in Excel.


Contact hours:
  Autumn Spring Summer
Lectures 10
Guided independent study:      
    Wider reading (independent) 20
    Wider reading (directed) 20
    Advance preparation for classes 20
    Completion of formative assessment tasks 10
    Reflection 20
       
Total hours by term 100 0 0
       
Total hours for module 100

Summative Assessment Methods:
Method Percentage

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

Formative assessment methods:

Practice MCQ tests via Blackboard.


Penalties for late submission:

n/a


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: 19 April 2023

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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