Könyv Numerical Methods in Computational Finance Duffy

Numerical Methods in Computational Finance

A Partial Differential Equation (PDE/FDM) Approach

Szerző: Duffy, Daniel J.
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 11-15 napon belül
34 129 Ft
This book is a detailed and step-by-step introduction to the mathematical foundations of ordinary an...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2022
oldal
544
EAN
9781119719670
ISBN
1119719674
Enbook ID
33535259
Súly
1100
Méretek
250 x 180 x 42

Teljes leírás

This book is a detailed and step-by-step introduction to the mathematical foundations of ordinary and partial differential equations, their approximation by the finite difference method and applications to computational finance. The book is structured so that it can be read by beginners, novices and expert users.Part A Mathematical Foundation for One-Factor ProblemsChapters 1 to 7 introduce the mathematical and numerical analysis concepts that are needed to understand the finite difference method and its application to computational finance.Part B Mathematical Foundation for Two-Factor ProblemsChapters 8 to 13 discuss a number of rigorous mathematical techniques relating to elliptic and parabolic partial differential equations in two space variables. In particular, we develop strategies to preprocess and modify a PDE before we approximate it by the finite difference method, thus avoiding ad-hoc and heuristic tricks.Part C The Foundations of the Finite Difference Method (FDM)Chapters 14 to 17 introduce the mathematical background to the finite difference method for initial boundary value problems for parabolic PDEs. It encapsulates all the background information to construct stable and accurate finite difference schemes.Part D Advanced Finite Difference Schemes for Two-Factor ProblemsChapters 18 to 22 introduce a number of modern finite difference methods to approximate the solution of two factor partial differential equations. This is the only book we know of that discusses these methods in any detail.Part E Test Cases in Computational FinanceChapters 23 to 26 are concerned with applications based on previous chapters. We discuss finite difference schemes for a wide range of one-factor and two-factor problems.This book is suitable as an entry-level introduction as well as a detailed treatment of modern methods as used by industry quants and MSc/MFE students in finance. The topics have applications to numerical analysis, science and engineering.More on computational finance and the author's online courses, see www.datasim.nl.

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