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Can I read Stochastic Finance An Introduction In Discrete Time Third Revised And Extended Edition on EtoBox?
Stochastic Finance An Introduction In Discrete Time Third Revised And Extended Edition by HANS FOLLMER AND ALEXANDER SCHIED is a nonfiction available to read on EtoBox.
What is Stochastic Finance An Introduction In Discrete Time Third Revised And Extended Edition about?
This book is an introduction to financial mathematics. It is intended for graduate students in mathematics and for researchers working in academia and industry. The focus on stochastic models in discrete time has two immediate benefits. First, the probabilistic machinery is simpler, and one can discuss right away some of the key problems in the theory of pricing and hedging of financial derivatives. Second, the paradigm of a complete financial market, where all derivatives admit a perfect hedge, becomes the exception rather than the rule. Thus, the need to confront the intrinsic risks arising from market incomleteness appears at a very early stage. The first part of the book contains a study of a simple one-period model, which also serves as a building block for later developments. Topics include the characterization of arbitrage-free markets, preferences on asset profiles, an introduction to equilibrium analysis, and monetary measures of financial risk. In the second part, the idea of dynamic hedging of contingent claims is developed in a multiperiod framework. Topics include martingale measures, pricing formulas for derivatives, American options, superhedging, and hedging strateg
Who reads Stochastic Finance An Introduction In Discrete Time Third Revised And Extended Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- HANS FOLLMER AND ALEXANDER SCHIED
- Publisher
- Saur, K. G., Verlag. ein Imprint der Walter de Gruyter GmbH
- Published
- 2011
- Language
- EN
- ISBN
- 9783110218053
- Category
- nonfiction
- Subjects
- Finance, Mathematics, Economics
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