Studying at York
Modelling of Bonds, Term Structure & Interest Rate Derivatives (Online Version) - MAT00019M
Related modules
Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
- None
Module will run
| Occurrence | Teaching period |
|---|---|
| A1 | Semester 1 2024-25 |
| A2 | Semester 1 2024-25 to Semester 2 2024-25 |
| B1 | Semester 2 2024-25 |
| B2 | Semester 2 2024-25 |
Module aims
The module introduces the probabilistic concepts and techniques necessary for modelling the dynamics of interest rates. The mathematical theory of interest rates is complex, since on the one hand it has to cover simultaneous random behaviour of a family of bonds indexed by maturity, and on the other hand be consistent with no-arbitrage restrictions. Additionally, to be realistic models have to be complex enough to enable the calibration of their parameters to real data. The complexity stems from the fact that in general interest rates depend on running time and maturity time, so are stochastic processes of two time variables, each with a very specific role. Discrete models will be constructed based on tree structures. For some special models a continuous time limit results in a stochastic differential equation of Ito type. In full generality the theory of partial stochastic differential equations is needed to investigate sophisticated models (this issue is only briefly outlined in the module). However, there is no such thing as the best or universally accepted model. Hence this module shows a variety of approaches and much time is devoted to the study of their relationships. One crucial issue is concerned with fitting the model to the data, called calibration. Pricing interest rate derivative securities is of great importance, since they represent a vast majority of the derivatives traded.
Module learning outcomes
By the end of this module students should
- be able to construct arbitrage-free models of interest rates and the term structure of bond prices in the binary tree model and to price interest rate derivatives within such a model;
- be able to price complex interest rate derivative securities, including American and exotic options, in a discrete setting with random interest rates of various maturities;
- be able to price various derivative securities (such as caps, floors, swaps) written on bonds as underlying securities;
- understand the features of various models describing the dynamics of interest rates and be able to see the connections between them, in both the discrete and continuous time frameworks;
- demonstrate skills necessary for practical implementation of the techniques, in particular, be able to calibrate selected models
Indicative assessment
| Task | % of module mark |
|---|---|
| Coursework - extensions not feasible/practicable | 100 |
| Oral presentation/seminar/exam | 0 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Coursework - extensions not feasible/practicable | 100 |
| Oral presentation/seminar/exam | 0 |
Module feedback
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Indicative reading
1. M. Capinski and T. Zastawniak, Mathematics for Finance, Chapters 10, 11. Springer-Verlag, London 2003.
2. R. Jarrow, Modelling Fixed Income Securities and Interest Rate Options, McGraw-Hill, New York 1996.
3. T. Bjork, Arbitrage Theory in Continuous Time, Oxford University Press, Oxford 1998.