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2007/8 Module Catalogue
 Module Code: MAT2008 Module Title: THEORY OF FINANCE
Module Provider: Mathematics Short Name: MS220 Previous Short Name: MS220
Level: HE2 Module Co-ordinator: BRUIN HP Dr (Maths)
Number of credits: 15 Number of ECTS credits: 7.5
 
Module Delivery

Spring semester

Assessment Requirements

Unit(s) of Assessment

 

Weighting Towards Module Mark( %)

 

2 hour unseen examination

 

75%

 

Assignment

 

15%

 

Class test

 

10%

 

     

 

     

 

     

 

     

 

Qualifying Condition(s) 

 

A weighted aggregate mark of 40% is required to pass the module.

 

 

 

Module Overview
Prerequisites/Co-requisites

MS 101 Techniques in Calculus 1

MS 131 Probability and Statistics

Module Aims

This module introduces the application of mathematics to finance. Compound interest, discounting, cash flows, loans and fixed interest securities are discussed, and a range of mathematical techniques for their analysis is introduced.

Learning Outcomes

At the end of the module a student should:

  • understand compound interest and discounting; 
  • know how to value and accumulate cash flows;
  • know the derivation of formulae for standardised cash flows;
  • be able to derive and solve equations of value;
  • understand how a loan may be repaid by regular instalments of capital interest;
  • understand to measurement of investment performance;
  • be able to value fixed interest securities (such as bonds) and determine their yield;
  • show an understanding of simple stochastic interest rate models.
Module Content

Interest rates, inflation, discounted cash flows, assessment of investment projects, analysis of loan schedules, fixed interest securities (bonds), investment portfolios and immunisation, stochastic interest rate models.

Methods of Teaching/Learning

Teaching is by lectures and tutorials. Learning takes place through lectures, tutorials and exercises.

3 lecture/tutorial hours per week for 10 weeks

Selected Texts/Journals

Recommended 

J.J. McCutcheon and W.F. Scott, An Introduction to the Mathematics of Finance 

D. G. Luenberger, Investment Science

Last Updated

31 July 2007