Book contents
- Frontmatter
- Contents
- Preface
- Introduction to the student
- Part One Simple Models in Mechanics
- Part Two Models with Difference Equations
- 7 Difference equations
- 8 Linear difference equations in finance and economics
- 9 Non-linear difference equations and population growth
- 10 Models for population genetics
- Part Three Models with Differential Equations
- Part Four Further Mechanics
- Part Five Coupled Models
- References
- Index
8 - Linear difference equations in finance and economics
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- Introduction to the student
- Part One Simple Models in Mechanics
- Part Two Models with Difference Equations
- 7 Difference equations
- 8 Linear difference equations in finance and economics
- 9 Non-linear difference equations and population growth
- 10 Models for population genetics
- Part Three Models with Differential Equations
- Part Four Further Mechanics
- Part Five Coupled Models
- References
- Index
Summary
This chapter begins with a study of linear difference equations, which are usually easier to solve in closed form than non-linear ones. A closed-form solution is found for a special type of linear difference equation that arises frequently in problems from finance and economics.
The applications to finance concern interest on loans and the repayment of debt. Hence they should prove just as useful to those who have money and wish to invest it as to those who don't have money and wish to borrow it.
Economists set up mathematical models with which they hope to predict movements in price, interest rates, level of unemployment, and so on. Although some of the economic concepts involved in these models are rather abstract, we have a rough idea of their meaning from everyday usage and this is all that is needed for the models studied in this chapter.
Economic models contain assumptions about the interdependence of the various quantities of interest to economists. A model is regarded as successful if these assumptions lead to reliable forecasts. The quantities studied in economics cannot always be measured with the same accuracy as those studied in the physical sciences and hence economists are more concerned with qualitative predictions — whether the prices will go up or down or whether they will oscillate about some equilibrium value.
Economists often simplify their mathematical models by assuming the functions involved are linear, in the sense of having straight-line graphs.
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- Information
- Modelling with Differential and Difference Equations , pp. 126 - 145Publisher: Cambridge University PressPrint publication year: 1997