THESIS
2014
xviii, 191 pages : illustrations ; 30 cm
Abstract
Developing computational and approximation methods for discrete path dependent
options is one of the most important themes of financial derivatives research.
In this thesis, various analytical approximation formulas and numerical schemes
on discrete path dependent options are investigated under a variety of asset price
dynamics. We make a thorough investigation on the analytic tractability of the
3/2 stochastic volatility model and adopt two different approaches (PDE and
probabilistic approaches) to derive a closed-form formula for the partial transform
of the triple joint transition density (X, I, V) which stand for the log asset
price, the quadratic variation and the instantaneous variance, respectively. The
closed-form partial transform enables us to deduce a variety of marg...[
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Developing computational and approximation methods for discrete path dependent
options is one of the most important themes of financial derivatives research.
In this thesis, various analytical approximation formulas and numerical schemes
on discrete path dependent options are investigated under a variety of asset price
dynamics. We make a thorough investigation on the analytic tractability of the
3/2 stochastic volatility model and adopt two different approaches (PDE and
probabilistic approaches) to derive a closed-form formula for the partial transform
of the triple joint transition density (X, I, V) which stand for the log asset
price, the quadratic variation and the instantaneous variance, respectively. The
closed-form partial transform enables us to deduce a variety of marginal transition
density functions or characteristic functions that are crucial in pricing exotic
options and variance derivatives. For pricing discrete arithmetic Asian options,
we derive the analytical lower bound and construct an upper bound based on
the sharp lower bound under time-changed Lévy processes. The general partially
exact and bounded (PEB) approximations are also considered. Finally, numerical
algorithms based on Hilbert transform are designed to price barrier options,
Bermudan options and finite-maturity discrete timer options.
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