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Thesis

Markov Functional Market Model nd Standard Market Model

Abstract:
The introduction of so called Market Models (BGM) in 1990s has developed the world of interest rate modelling into a fresh period. The obvious advantages of the market model have generated a vast amount of research on the market model and recently a new model, called Markov functional market model, has been developed and is becoming increasingly popular. To be clearer between them, the former is called standard market model in this paper. Both standard market models and Markov functional market models are practically popular and the aim here is to explain theoretically how each of them works in practice. Particularly, implementation of the standard market model has to rely on advanced numerical techniques since Monte Carlo simulation does not work well on path-dependent derivatives. This is where the strength of the Longstaff-Schwartz algorithm comes in. The successful application of the Longstaff-Schwartz algorithm with the standard market model, more or less, adds another weight to the fact that the Longstaff-Schwartz algorithm is extensively applied in practice.

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Publisher:
University of Oxford;Mathematics
Publication date:
2008-06-01
Type of award:
DPhil
Level of award:
Doctoral


UUID:
uuid:09eb62a6-4a35-4db3-bca3-d5c5b69e5226
Local pid:
oai:eprints.maths.ox.ac.uk:704
Deposit date:
2011-05-19
ARK identifier:

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