The benchmark approach provides a general framework for
financial market modeling, which extends beyond the standard
risk-neutral pricing theory. It permits a unified treatment of
portfolio optimization, derivative pricing, integrated risk
management and insurance risk modeling. The existence of an
equivalent risk-neutral pricing measure is not required. Instead,
it leads to pricing formulae with respect to the real-world
probability measure. This yields important modeling freedom which
turns out to be necessary for the derivation of realistic,
parsimonious market models. The first part of the book describes
the necessary tools from probability theory, statistics, stochastic
calculus and the theory of stochastic differential equations with
jumps. The second part is devoted to financial modeling by the
benchmark approach. Various quantitative methods for the real-world
pricing and hedging of derivatives are explained. The general
framework is used to provide an understanding of the nature of
stochastic volatility. The book is intended for a wide audience
that includes quantitative analysts, postgraduate students and
practitioners in finance, economics and insurance. It aims to be a
self-contained, accessible but mathematically rigorous introduction
to quantitative finance for readers that have a reasonable
mathematical or quantitative background. Finally, the book should
stimulate interest in the benchmark approach by describing some of
its power and wide applicability.
General
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