The Numerical Solution Of The American Option Pricing Problem
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The Numerical Solution Of The American Option Pricing Problem
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Author : Carl Chiarella
language : en
Publisher: World Scientific
Release Date : 2014-10-14
The Numerical Solution Of The American Option Pricing Problem written by Carl Chiarella and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-14 with Options (Finance) categories.
The early exercise opportunity of an American option makes it challenging to price and an array of approaches have been proposed in the vast literature on this topic. In The Numerical Solution of the American Option Pricing Problem, Carl Chiarella, Boda Kang and Gunter Meyer focus on two numerical approaches that have proved useful for finding all prices, hedge ratios and early exercise boundaries of an American option. One is a finite difference approach which is based on the numerical solution of the partial differential equations with the free boundary problem arising in American option pricing, including the method of lines, the component wise splitting and the finite difference with PSOR. The other approach is the integral transform approach which includes Fourier or Fourier Cosine transforms. Written in a concise and systematic manner, Chiarella, Kang and Meyer explain and demonstrate the advantages and limitations of each of them based on their and their co-workers'' experiences with these approaches over the years. Contents: Introduction; The Merton and Heston Model for a Call; American Call Options under Jump-Diffusion Processes; American Option Prices under Stochastic Volatility and Jump-Diffusion Dynamics OCo The Transform Approach; Representation and Numerical Approximation of American Option Prices under Heston; Fourier Cosine Expansion Approach; A Numerical Approach to Pricing American Call Options under SVJD; Conclusion; Bibliography; Index; About the Authors. Readership: Post-graduates/ Researchers in finance and applied mathematics with interest in numerical methods for American option pricing; mathematicians/physicists doing applied research in option pricing. Key Features: Complete discussion of different numerical methods for American options; Able to handle stochastic volatility and/or jump diffusion dynamics; Able to produce hedge ratios efficiently and accurately"
Numerical Methods For American Option Pricing With Nonlinear Volatility
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Author : Wen Wang
language : en
Publisher:
Release Date : 2015
Numerical Methods For American Option Pricing With Nonlinear Volatility written by Wen Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Finance categories.
This dissertation is organized as follows: Chapter 1 is an introduction to option pricing theory; Chapter 2 focuses on theoretical model of uncertain volatility; Chapter 3 introduces the numerical methods; Chapter 4 shows the experiment results; Chapter 5 summarizes the work and points out some future research directions.
Mathematical Modeling And Methods Of Option Pricing
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Author : Lishang Jiang
language : en
Publisher: World Scientific Publishing Company
Release Date : 2005-07-18
Mathematical Modeling And Methods Of Option Pricing written by Lishang Jiang and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-18 with Business & Economics categories.
From the unique perspective of partial differential equations (PDE), this self-contained book presents a systematic, advanced introduction to the Black-Scholes-Merton's option pricing theory.A unified approach is used to model various types of option pricing as PDE problems, to derive pricing formulas as their solutions, and to design efficient algorithms from the numerical calculation of PDEs. In particular, the qualitative and quantitative analysis of American option pricing is treated based on free boundary problems, and the implied volatility as an inverse problem is solved in the optimal control framework of parabolic equations.
Numerical Solution Of The American Option Pricing Problem The Finite Difference And Transform Approaches
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Author : Carl Chiarella
language : en
Publisher: World Scientific
Release Date : 2014-10-14
Numerical Solution Of The American Option Pricing Problem The Finite Difference And Transform Approaches written by Carl Chiarella and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-14 with Business & Economics categories.
The early exercise opportunity of an American option makes it challenging to price and an array of approaches have been proposed in the vast literature on this topic. In The Numerical Solution of the American Option Pricing Problem, Carl Chiarella, Boda Kang and Gunter Meyer focus on two numerical approaches that have proved useful for finding all prices, hedge ratios and early exercise boundaries of an American option. One is a finite difference approach which is based on the numerical solution of the partial differential equations with the free boundary problem arising in American option pricing, including the method of lines, the component wise splitting and the finite difference with PSOR. The other approach is the integral transform approach which includes Fourier or Fourier Cosine transforms. Written in a concise and systematic manner, Chiarella, Kang and Meyer explain and demonstrate the advantages and limitations of each of them based on their and their co-workers' experiences with these approaches over the years.
Monte Carlo Methods For American Option Pricing
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Author : Alberto Barola
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2014-05-21
Monte Carlo Methods For American Option Pricing written by Alberto Barola and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-21 with categories.
The Monte Carlo approach has proved to be a valuable and flexible computational tool in modern finance. A number of Monte Carlo simulation-based methods have been developed within the past years to address the American option pricing problem. The aim of this book is to present and analyze three famous simulation algorithms for pricing American style derivatives: the stochastic tree; the stochastic mesh and the least squares method (LSM). The author first presents the mathematical descriptions underlying these numerical methods. Then the selected algorithms are tested on a common set of problems in order to assess the strengths and weaknesses of each approach as a function of the problem characteristics. The results are compared and discussed on the basis of estimates precision and computation time. Overall the simulation framework seems to work considerably well in valuing American style derivative securities. When multi-dimensional problems are considered, simulation based methods seem to be the best solution to estimate prices since the general numerical procedures of finite difference and binomial trees become impractical in these specific situations.
A Moving Boundary Approach To American Option Pricing
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Author : Kumar Muthuraman
language : en
Publisher:
Release Date : 2008
A Moving Boundary Approach To American Option Pricing written by Kumar Muthuraman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
This paper describes a method to solve the free-boundary problem that arises in the pricing of American options. Most numerical methods for American option pricing exploit the representation of the option price as the expected pay-off under the risk-neutral measure and calculate the price for a given time to expiration and stock price. They do not solve the related free-boundary problem explicitly. The advantage of solving the free-boundary problem is that it provides the entire price function as well as the optimal exercise boundary explicitly. Our approach, which we term the Moving Boundary Approach, is based on using a boundary guess and the value associated with the guess to construct an improved boundary. It is also shown that on iteration, the sequence of boundaries converge monotonically to the optimal exercise boundary. Examples illustrating the convergence behavior as well as discussions providing insight into the method are also presented. Finally, we compare run times and speeds with other methods that solve the free-boundary problem and compute the optimal boundaries explicitly, like the front-fixing method, penalty method, method based on the integral representations and the method by Brennan and Schwartz (1977).
The Fitted Finite Volume And Power Penalty Methods For Option Pricing
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Author : Song Wang
language : en
Publisher: Springer Nature
Release Date : 2020-10-27
The Fitted Finite Volume And Power Penalty Methods For Option Pricing written by Song Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-27 with Mathematics categories.
This book contains mostly the author’s up-to-date research results in the area. Option pricing has attracted much attention in the past decade from applied mathematicians, statisticians, practitioners and educators. Many partial differential equation-based theoretical models have been developed for valuing various options. These models do not have any practical use unless their solutions can be found. However, most of these models are far too complex to solve analytically and numerical approximations have to be sought in practice. The contents of the book consist of three parts: (i) basic theory of stochastic control and formulation of various option pricing models, (ii) design of finite volume, finite difference and penalty-based algorithms for solving the models and (iii) stability and convergence analysis of the algorithms. It also contains extensive numerical experiments demonstrating how these algorithms perform for practical problems. The theoretical and numerical results demonstrate these algorithms provide efficient, accurate and easy-to-implement numerical tools for financial engineers to price options. This book is appealing to researchers in financial engineering, optimal control and operations research. Financial engineers and practitioners will also find the book helpful in practice.
Nonlinear Option Pricing
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Author : Julien Guyon
language : en
Publisher: CRC Press
Release Date : 2013-12-19
Nonlinear Option Pricing written by Julien Guyon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-19 with Business & Economics categories.
New Tools to Solve Your Option Pricing Problems For nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research—including Risk magazine’s 2013 Quant of the Year—Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods. Real-World Solutions for Quantitative Analysts The book helps quants develop both their analytical and numerical expertise. It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors build intuition through numerous real-world examples of numerical implementation. Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs. The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + bλ technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.
Numerical Evaluation Of American Options
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Author : Liang Tan
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2009-11
Numerical Evaluation Of American Options written by Liang Tan and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11 with categories.
In this book we discuss various numerical evaluation problems for American options. Base on Black-Scholes framework, we establish partial differential complementarity problems (PDCP) for American options. Then we introduced various finite difference schemes to discretize the PDCP to obtain a system of Linear Complementarity Problems. The solution analysis and numerical algorithms are discussed. Next we study the pricing problem for American options whose payoff function are determined by two or more underlying assets. We formulate the two-asset American option pricing problem as two-dimensional PDCP. We first perform some state variable transformation and then introduce the ADI scheme and LOD scheme. After this, we discuss American option on an underlying asset with stochastic volatility. At last we consider the implied volatility problem for American options. We formulate a mathematical program with complementarity constraints (MPCC). Then we applied a penalty approach to solve the MPCC by utilizing the existing NLP tools. The parameter estimation problem for a mean-reverting stochastic volatility process is also considered.
Computational Methods For Option Pricing
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Author : Yves Achdou
language : en
Publisher: SIAM
Release Date : 2005-07-18
Computational Methods For Option Pricing written by Yves Achdou and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-18 with Technology & Engineering categories.
This book allows you to understand fully the modern tools of numerical analysis in finance.
