<p>Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques
Problems and Solutions in Mathematical Finance Stochastic Calculus
β Scribed by Eric Chin, Dian Nel, Sverrir Olafsson
- Publisher
- Wiley
- Year
- 2014
- Tongue
- English
- Leaves
- 398
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Problems and Solutions in Mathematical Finance: Stochastic Calculus (The Wiley Finance Series) Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques to practical issues in finance. Problems and Solutions in Mathematical Finance Volume I: Stochastic Calculus is the first of a four-volume set of books focusing on problems and solutions in mathematical finance. This volume introduces the reader to the basic stochastic calculus concepts required for the study of this important subject, providing a large number of worked examples which enable the reader to build the necessary foundation for more practical orientated problems in the later volumes. Through this application and by working through the numerous examples, the reader will properly understand and appreciate the fundamentals that underpin mathematical finance. Written mainly for students, industry practitioners and those involved in teaching in this field of study, Stochastic Calculus provides a valuable reference book to complement oneβs further understanding of mathematical finance.
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Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques to
<P>Β </P> <P>Malliavin calculus provides an infinite-dimensional differential</P> <P>calculus in the context of continuous paths stochastic processes.</P> <P>The calculus includes formulae of integration by parts and Sobolev</P> <P>spaces of differentiable functions defined on a probability space.</P
Malliavin calculus provides an infinite-dimensional differential calculus in the context of continuous paths stochastic processes. The calculus includes formulae of integration by parts and Sobolev spaces of differentiable functions defined on a probability space. This new book, demonstrating the re
Highly esteemed author Topics covered are relevantΒ and timely
<p><P>Malliavin calculus provides an infinite-dimensional differential calculus in the context of continuous paths stochastic processes. The calculus includes formulae of integration by parts and Sobolev spaces of differentiable functions defined on a probability space. This new book, demonstrating