Generalized Integral Transforms In Mathematical Finance

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August 17, 2023 | History

Generalized Integral Transforms In Mathematical Finance

First edition
  • 0 Ratings
  • 2 Want to read
  • 0 Currently reading
  • 0 Have read

Overall, the book will help readers who want to learn modern analyti-cal tools for solving various applied problems of mathematical finance andphysics. From the mathematical perspective, the level of details is closer tothe applied rather than to the abstract or pure theoretical mathematics.The book could also be a subject of a semester course on integral trans-forms and their financial applications for Master and Ph.D. programs incomputational finance or financial engineering or, possibly, applied mathe-matics. It can also be used to train practitioners who want to extend theirknowledge of modern tools of mathematical and computational finance.

Publish Date
Language
English
Pages
512

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Edition Availability
Cover of: Generalized Integral Transforms In Mathematical Finance
Generalized Integral Transforms In Mathematical Finance
October 15, 2021, World Scientific Publishing Company Pte Ltd.
Hardcover in English - First edition

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Book Details


Table of Contents

- Foreword
- Preface
- About the Authors
- Acknowledgments
- List of Figures
- PART 1. One-Factor Financial Modelsand Problems
- Stochastic Engines and Partial Differential Equations
- Popular One-Factor Models by Asset Classes
- PART 2. Integral Equations53
- Fredholm Integral Equations
- Volterra Integral Equations
- Solving Integral Equations Numerically
- PART 3. Integral Transforms
- Classical Integral Transforms
- Generalized Integral Transforms
- Method of Heat Potentials
- PART 4. Equities, FX, and Commodities
- Barrier and American Options
- On the First Hitting Time Density for a Reducible Diffusion Process
- Optimal Mean-Reverting Trading Strategies
- PART 5. Fixed Income
- Barrier Options in the Hull-White Model
- Barrier Options in the Time-Dependent CEV and CIR Models
- Barrier Options in the BK and Verhulst Models
- PART 6. Credit and Miscellaneous Problems
- Calibrating the Default Boundary to a Constant Default Intensity
- McKean-Vlasov Equation with Feedback Through Hitting a Boundary
- Miscellaneous Problems
- PART 7. Multilayer Problems
- Double Barrier Options
- Appendices
- Multilayer Heat Equations: Application to Finance
- Appendices
- Bibliography
- Index

Edition Notes

Contains bibliography and index at pages 455 and 471 respectively. List of figures are provided at page xxvii.

Published in
Singapore
Other Titles
Transformações integrais generalizadas em finanças matemáticas
Copyright Date
©2022

Classifications

Library of Congress
https://lccn.loc.gov/2021943643

The Physical Object

Format
Hardcover
Pagination
xxxiii, 473 pages : illustrations (black and white, some color) ; 24 cm
Number of pages
512
Weight
2 pounds

ID Numbers

Open Library
OL39808415M
ISBN 10
9811231737
ISBN 13
9789811231735
LCCN
2021943643
OCLC/WorldCat
1225977255

Work Description

This book describes several techniques, first invented in physics for solving problems of heat and mass transfer, and applies them to various problems of mathematical finance defined in domains with moving boundaries. These problems include:
(a) semi-closed form pricing of options in the one-factor models with time-dependent barriers (Bachelier, Hull-White, CIR, CEV);
(b) analyzing an interconnected banking system in the structural credit risk model with default contagion;
(c) finding first hitting time density for a reducible diffusion process;
(d) describing the exercise boundary of American options;
(e) calculating default boundary for the structured default problem;
(f) deriving a semi-closed form solution for optimal mean-reverting trading strategies; to mention but some.
The main methods used in this book are generalized integral transforms and heat potentials. To find a semi-closed form solution, we need to solve a linear or nonlinear Volterra equation of the second kind and then represent the option price as a one-dimensional integral. Our analysis shows that these methods are computationally more efficient than the corresponding finite-difference methods for the backward or forward Kolmogorov PDEs (partial differential equations) while providing better accuracy and stability. We extend a large number of known results by either providing solutions on complementary or extended domains where the solution is not known yet or modifying these techniques and applying them to new types of equations, such as the Bessel process. The book contains several novel results broadly applicable in physics, mathematics, and engineering.

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History

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August 17, 2023 Edited by ImportBot import existing book
November 15, 2022 Edited by ImportBot import existing book
October 1, 2022 Edited by Kaustubh Chakraborty Added new book
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October 1, 2022 Created by Kaustubh Chakraborty Added new book.