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Modelling and Simulation of Stochastic Volatility in Finance (Paperback)
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Modelling and Simulation of Stochastic Volatility in Finance (Paperback)
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The famous Black-Scholes model was the starting point of a new
financial industry and has been a very important pillar of all
options trading since. One of its core assumptions is that the
volatility of the underlying asset is constant. It was realised
early that one has to specify a dynamic on the volatility itself to
get closer to market behaviour. There are mainly two aspects making
this fact apparent. Considering historical evolution of volatility
by analysing time series data one observes erratic behaviour over
time. Secondly, backing out implied volatility from daily traded
plain vanilla options, the volatility changes with strike. The most
common realisations of this phenomenon are the implied volatility
smile or skew. The natural question arises how to extend the
Black-Scholes model appropriately. Within this book the concept of
stochastic volatility is analysed and discussed with special regard
to the numerical problems occurring either in calibrating the model
to the market implied volatility surface or in the numerical
simulation of the two-dimensional system of stochastic differential
equations required to price non-vanilla financial derivatives. We
introduce a new stochastic volatility model, the so-called Hyp-Hyp
model, and use Watanabe's calculus to find an analytical
approximation to the model implied volatility. Further, the class
of affine diffusion models, such as Heston, is analysed in view of
using the characteristic function and Fourier inversion techniques
to value European derivatives.
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