Freshly Printed - allow 10 days lead
Couldn't load pickup availability
Stochastic Calculus for Quantitative Finance
The theory of stochastic integration in mathematical finance -- in particular, in arbitrage theory
Alexander A Gushchin (Author)
9781785480348, Elsevier Science
Hardback, published 19 August 2015
208 pages
22.9 x 15.1 x 2 cm, 0.45 kg
"...an excellent book which can be recommended for advanced courses in stochastic calculus, in particular, for courses in stochastic financial modelling (another name of quantitative finance)." --Zentralblatt MATH "The main goal of this short book is to introduce stochastic integration with respect to general semimartingales." --Mathematical Reviews
In 1994 and 1998 F. Delbaen and W. Schachermayer published two breakthrough papers where they proved continuous-time versions of the Fundamental Theorem of Asset Pricing. This is one of the most remarkable achievements in modern Mathematical Finance which led to intensive investigations in many applications of the arbitrage theory on a mathematically rigorous basis of stochastic calculus. Mathematical Basis for Finance: Stochastic Calculus for Finance provides detailed knowledge of all necessary attributes in stochastic calculus that are required for applications of the theory of stochastic integration in Mathematical Finance, in particular, the arbitrage theory. The exposition follows the traditions of the Strasbourg school. This book covers the general theory of stochastic processes, local martingales and processes of bounded variation, the theory of stochastic integration, definition and properties of the stochastic exponential; a part of the theory of Lévy processes. Finally, the reader gets acquainted with some facts concerning stochastic differential equations.
1. General theory of stochastic processes2. Martingales and processes with finite variation3. Stochastic integrals
