Tomas Bjork is Professor of Mathematical Finance at the Stockholm
School of Economics. His background is in probability, and he has previously
been Associate Professor of Mathematics at the Royal Institute of Technology in
Stockholm. He is a member of the editorial board of the journal Finance and
Stochastics, published by Springer Verlag.
This book gives a comprehensive account of the arbitrage
theory of financial derivatives in a mathematically precise way, but without the
explicit use of abstract measure theory. It is aimed at graduate students and
practitioners in economics, but will also be of interest to mathematicians and
researchers in finance. The text is heavily orientated towards concrete
computations and practical handling of stochastic differential equations, in
their economic applications as well as in their purely mathematical context. The
reader will find numerous worked-out examples as well as a large number of
exercises.
After an introductory chapter on the binomial model, the focus
is exclusively on continuous time models. The reader is given a self-contained
treatment of stochastic differential equations and Ito calculus, including the
Feynman-Kac connections to partial differential equations, and the classical
Kolmogorov equations.
The methodological approach to arbitrage pricing is taken
through the use and construction of locally riskless portfolios. This leads
immediately to pricing formulas as solutions to partial differential equations.
Risk neutral valuation formulas and martingale measures are then introduced
through Feynman-Kac representations of the solutions of the PDEs. Still, the
text is essentially a probabilistic one, emphasizing the use of martingale
measures for the computation of prices. The book covers stock price models, with
one or several underlying assets, and presents a full treatment of both pricing
and hedging. A special chapter is devoted to pricing and hedging problems in
incomplete models. Barrier options, options on dividend-paying assets, as well
as currency markets (including quanto products) are given separate
chapters.
Interest rate theory is dealt with in some depth, including
the most common short rate models, affine term structures, inversion of the
yield curve, and the Heath-Jarrow-Morton approach to forward rate models. A
separate chapter is devoted to the modern change-of-numeraire technique, which
makes it possible to give concrete pricing formulas for a large number of fairly
complicated interest rate derivatives.
The book also includes a self-contained treatment of
stochastic optimal control theory, on the fringes of arbitrage pricing, but of
interest to the general reader. This theory is then applied to optimal
consumption/ investment problems, and the Merton fund separation theorems are
derived.
311 pages