Applied Diffusion Processes from Engineering to Finance.

Applied Diffusion Processes from Engineering to Finance.

The aim of this book is to promote interaction between Engineering, Finance and Insurance, as there are many models and solution methods in common for solving real-life problems in these three topics. The authors point out the strict inter-relations that exist among the diffusion models used in Engi...

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Bibliographic Details
Main Author: Janssen, Jacques
Other Authors: Manca, Oronzio, Manca, Raimondo
Format: eBook
Language:English
Published: London : Wiley, 2013.
Series:ISTE.
Subjects:
Business mathematics.
Differential equations, Partial.
Diffusion processes.
Engineering mathematics.
Business mathematics
Differential equations, Partial
Diffusion processes
Engineering mathematics
Online Access:Click for online access
Table of Contents:
  • Title Page; Contents; Introduction; Chapter 1. Diffusion Phenomena and Models; 1.1. General presentation of diffusion process; 1.2. General balance equations; 1.3. Heat conduction equation; 1.4. Initial and boundary conditions; Chapter 2. Probabilistic Models of Diffusion Processes; 2.1. Stochastic differentiation; 2.1.1. Definition; 2.1.2. Examples; 2.2. Itô's formula; 2.2.1. Stochastic differential of a product; 2.2.2. Itô's formula with time dependence; 2.2.3. Interpretation of Itô's formula; 2.2.4. Other extensions of Itô's formula; 2.3. Stochastic differential equations (SDE).
  • 2.3.1. Existence and unicity general theorem (Gikhman and Skorokhod [GIK 68])2.3.2. Solution of SDE under the canonical form; 2.4. Itô and diffusion processes; 2.4.1. Itô processes; 2.4.2. Diffusion processes; 2.4.3. Kolmogorov equations; 2.5. Some particular cases of diffusion processes; 2.5.1. Reduced form; 2.5.2. The OUV (Ornstein-Uhlenbeck-Vasicek) SDE; 2.5.3. Solution of the SDE of Black-Scholes-Samuelson; 2.6. Multidimensional diffusion processes; 2.6.1. Multidimensional SDE; 2.6.2. Multidimensional Itô and diffusion processes; 2.6.3. Properties of multidimensional diffusion processes.
  • 2.6.4. Kolmogorov equations2.7. The Stroock-Varadhan martingale characterization of diffusions (Karlin and Taylor [KAR 81]); 2.8. The Feynman-Kac formula (Platen and Heath); 2.8.1. Terminal condition; 2.8.2. Discounted payoff function; 2.8.3. Discounted payoff function and payoff rate; Chapter 3. Solving Partial Differential Equations of Second Order; 3.1. Basic definitions on PDE of second order; 3.1.1. Notation; 3.1.2. Characteristics; 3.1.3. Canonical form of PDE; 3.2. Solving the heat equation; 3.2.1. Separation of variables.
  • 3.2.2. Separation of variables in the rectangular Cartesian coordinates3.2.3. Orthogonality of functions; 3.2.4. Fourier series; 3.2.5. Sturm-Liouville problem; 3.2.6. One-dimensional homogeneous problem in a finite medium; 3.3. Solution by the method of Laplace transform; 3.3.1. Definition of the Laplace transform; 3.3.2. Properties of the Laplace transform; 3.4. Green's functions; 3.4.1. Green's function as auxiliary problem to solve diffusive problems; 3.4.2. Analysis for determination of Green's function; Chapter 4. Problems in Finance; 4.1. Basic stochastic models for stock prices.

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