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Numerical Partial Differential Equations in Finance Explained
An Introduction to Computational Finance
Karel in 't Hout
- English
- PDF
- Available on iOS & Android
Numerical Partial Differential Equations in Finance Explained
An Introduction to Computational Finance
Karel in 't Hout
About This Book
This book provides a first, basic introduction into the valuation of financial options via the numerical solution of partial differential equations (PDEs). It provides readers with an easily accessible text explaining main concepts, models, methods and results that arise in this approach. In keeping with the series style, emphasis is placed on intuition as opposed to full rigor, and a relatively basic understanding of mathematics is sufficient.
The book provides a wealth of examples, and ample numerical experiments are givento illustrate the theory. The main focus is on one-dimensional financial PDEs, notably the Black-Scholes equation. The book concludes with a detailed discussion of the important step towards two-dimensional PDEs in finance.
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Table of contents
- 1 Financial Option Valuation
- 2 Partial Differential Equations
- 3 Spatial Discretization I
- 4 Spatial Discretization II
- 5 Numerical Study: Space
- 6 The Greeks
- 7 Temporal Discretization
- 8 Numerical Study: Time
- 9 Cash-or-Nothing Options
- 10 Barrier Options
- 11 American-Style Options
- 12 Merton Model
- 13 Two-Asset Options
- Appendix A: Wiener Process
- Appendix B: FeynmanâKac Theorem
- Appendix C: Down-and-Out Put Option Value
- Appendix D: Max-of-Two-Assets Call Option Value
- Bibliography
- Index