
Applied Diffusion Processes from Engineering to Finance
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Applied Diffusion Processes from Engineering to Finance
About this book
The aim of this book is to promote interaction between engineering, finance and insurance, as these three domains have many models and methods of solution in common for solving real-life problems. The authors point out the strict inter-relations that exist among the diffusion models used in engineering, finance and insurance. In each of the three fields, the basic diffusion models are presented and their strong similarities are discussed. Analytical, numerical and Monte Carlo simulation methods are explained with a view to applying them to obtain the solutions to the different problems presented in the book. Advanced topics such as nonlinear problems, Lévy processes and semi-Markov models in interactions with the diffusion models are discussed, as well as possible future interactions among engineering, finance and insurance.
Contents
1. Diffusion Phenomena and Models.
2. Probabilistic Models of Diffusion Processes.
3. Solving Partial Differential Equations of Second Order.
4. Problems in Finance.
5. Basic PDE in Finance.
6. Exotic and American Options Pricing Theory.
7. Hitting Times for Diffusion Processes and Stochastic Models in Insurance.
8. Numerical Methods.
9. Advanced Topics in Engineering: Nonlinear Models.
10. Lévy Processes.
11. Advanced Topics in Insurance: Copula Models and VaR Techniques.
12. Advanced Topics in Finance: Semi-Markov Models.
13. Monte Carlo Semi-Markov Simulation Methods.
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Information
Table of contents
- Cover
- Contents
- Title Page
- Copyright Page
- Introduction
- Chapter 1: Diffusion Phenomena and Models
- Chapter 2: Probabilistic Models of Diffusion Processes
- Chapter 3: Solving Partial Differential Equations of Second Order
- Chapter 4: Problems in Finance
- Chapter 5: Basic PDE in Finance
- Chapter 6: Exotic and American Options Pricing Theory
- Chapter 7: Hitting Times for Diffusion Processes and Stochastic Models in Insurance
- Chapter 8: Numerical Methods
- Chapter 9: Advanced Topics in Engineering: Nonlinear Models
- Chapter 10: Lévy Processes
- Chapter 11: Advanced Topics in Insurance: Copula Models and VaR Techniques
- Chapter 12: Advanced Topics in Finance: Semi-Markov Models
- Chapter 13: Monte Carlo Semi-Markov Simulation Methods
- Conclusion
- Bibliography
- Index