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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The LMM is an effective framework for the pricing of interest rate derivatives, not least because it models observable market quantities. There exist three main techniques for incorporating a volatility smile/skew in any modelling framework: allowing a local volatility function, stochastic volatility and jump dynamics. Here various ways to incorporate smile/skew are studied, loosely based on the above three approaches. Both the CEV and displaced-diffusion processes give rise to an implied volatility skew. The two processes produce closely matching prices for European call options over a variety of strikes and maturities. Here, this similarity in prices is analytically quantified using asymptotic expansion techniques. A regime shifting model may be viewed as a reduced form of a full stochastic volatility model. A two state, continuous time Markov Chain model, characterised by a time dependent volatility in each state is implemented. Finally, the Levy LIBOR model is considered as a generalisation of jump processes.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The LMM is an effective framework for the pricing of interest rate derivatives, not least because it models observable market quantities. There exist three main techniques for incorporating a volatility smile/skew in any modelling framework: allowing a local volatility function, stochastic volatility and jump dynamics. Here various ways to incorporate smile/skew are studied, loosely based on the above three approaches. Both the CEV and displaced-diffusion processes give rise to an implied volatility skew. The two processes produce closely matching prices for European call options over a variety of strikes and maturities. Here, this similarity in prices is analytically quantified using asymptotic expansion techniques. A regime shifting model may be viewed as a reduced form of a full stochastic volatility model. A two state, continuous time Markov Chain model, characterised by a time dependent volatility in each state is implemented. Finally, the Levy LIBOR model is considered as a generalisation of jump processes.