Designed as a text for graduate courses in stochastic processes, this book is intended for readers familiar with measure-theoretic probability and discrete-time processes who wish to explore stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus is developed. The power of this calculus is illustrated by results concerning representations of martingales and change of measure on Wiener space, and this in turn permits a presentation of recent advances in financial economics (options pricing and consumption/investment optimization).
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Specifications
Book Details
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Series & Set Details
Series Name
Graduate Texts in Mathematics
Dimensions
Height
216 mm
Length
138 mm
Weight
690 gr
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