Valuing American Style Option By Quasi Monte Carlo Simulation

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Monte Carlo and Quasi-Monte Carlo Methods 2000

Author : Kai-Tai Fang
Publisher : Springer Science & Business Media
ISBN 13 : 3642560466
Total Pages : 570 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Monte Carlo and Quasi-Monte Carlo Methods 2000 by : Kai-Tai Fang

Download or read book Monte Carlo and Quasi-Monte Carlo Methods 2000 written by Kai-Tai Fang and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the refereed proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at Hong Kong Baptist University in 2000. An important feature are invited surveys of the state-of-the-art in key areas such as multidimensional numerical integration, low-discrepancy point sets, random number generation, and applications of Monte Carlo and quasi-Monte Carlo methods. These proceedings include also carefully selected contributed papers on all aspects of Monte Carlo and quasi-Monte Carlo methods. The reader will be informed about current research in this very active field.

Monte Carlo and Quasi-Monte Carlo Methods 2002

Author : Harald Niederreiter
Publisher : Springer Science & Business Media
ISBN 13 : 3642187439
Total Pages : 462 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Monte Carlo and Quasi-Monte Carlo Methods 2002 by : Harald Niederreiter

Download or read book Monte Carlo and Quasi-Monte Carlo Methods 2002 written by Harald Niederreiter and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the refereed proceedings of the Fifth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at the National University of Singapore in the year 2002. An important feature are invited surveys of the state of the art in key areas such as multidimensional numerical integration, low-discrepancy point sets, computational complexity, finance, and other applications of Monte Carlo and quasi-Monte Carlo methods. These proceedings also include carefully selected contributed papers on all aspects of Monte Carlo and quasi-Monte Carlo methods. The reader will be informed about current research in this very active area.

Monte Carlo Methods in Financial Engineering

Author : Paul Glasserman
Publisher : Springer Science & Business Media
ISBN 13 : 0387216170
Total Pages : 603 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Monte Carlo Methods in Financial Engineering by : Paul Glasserman

Download or read book Monte Carlo Methods in Financial Engineering written by Paul Glasserman and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis

Implementing Models in Quantitative Finance: Methods and Cases

Author : Gianluca Fusai
Publisher : Springer Science & Business Media
ISBN 13 : 3540499598
Total Pages : 606 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Implementing Models in Quantitative Finance: Methods and Cases by : Gianluca Fusai

Download or read book Implementing Models in Quantitative Finance: Methods and Cases written by Gianluca Fusai and published by Springer Science & Business Media. This book was released on 2007-12-20 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and hedging, risk management, statistical estimation and model calibration. Each case develops a detailed solution to a concrete problem arising in applied financial management and guides the user towards a computer implementation. The appendices contain "crash courses" in VBA and Matlab programming languages.

Monte Carlo and Quasi-Monte Carlo Methods 2008

Author : Pierre L' Ecuyer
Publisher : Springer Science & Business Media
ISBN 13 : 3642041078
Total Pages : 669 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Monte Carlo and Quasi-Monte Carlo Methods 2008 by : Pierre L' Ecuyer

Download or read book Monte Carlo and Quasi-Monte Carlo Methods 2008 written by Pierre L' Ecuyer and published by Springer Science & Business Media. This book was released on 2010-01-14 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the refereed proceedings of the Eighth International Conference on Monte Carlo (MC)and Quasi-Monte Carlo (QMC) Methods in Scientific Computing, held in Montreal (Canada) in July 2008. It covers the latest theoretical developments as well as important applications of these methods in different areas. It contains two tutorials, eight invited articles, and 32 carefully selected articles based on the 135 contributed presentations made at the conference. This conference is a major event in Monte Carlo methods and is the premiere event for quasi-Monte Carlo and its combination with Monte Carlo. This series of proceedings volumes is the primary outlet for quasi-Monte Carlo research.

Computational Science — ICCS 2002

Author : Peter M.A. Sloot
Publisher : Springer
ISBN 13 : 3540460802
Total Pages : 1153 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Computational Science — ICCS 2002 by : Peter M.A. Sloot

Download or read book Computational Science — ICCS 2002 written by Peter M.A. Sloot and published by Springer. This book was released on 2003-08-01 with total page 1153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Science is the scienti?c discipline that aims at the development and understanding of new computational methods and techniques to model and simulate complex systems. The area of application includes natural systems – such as biology, envir- mental and geo-sciences, physics, and chemistry – and synthetic systems such as electronics and ?nancial and economic systems. The discipline is a bridge b- ween ‘classical’ computer science – logic, complexity, architecture, algorithms – mathematics, and the use of computers in the aforementioned areas. The relevance for society stems from the numerous challenges that exist in the various science and engineering disciplines, which can be tackled by advances made in this ?eld. For instance new models and methods to study environmental issues like the quality of air, water, and soil, and weather and climate predictions through simulations, as well as the simulation-supported development of cars, airplanes, and medical and transport systems etc. Paraphrasing R. Kenway (R.D. Kenway, Contemporary Physics. 1994): ‘There is an important message to scientists, politicians, and industrialists: in the future science, the best industrial design and manufacture, the greatest medical progress, and the most accurate environmental monitoring and forecasting will be done by countries that most rapidly exploit the full potential ofcomputational science’. Nowadays we have access to high-end computer architectures and a large range of computing environments, mainly as a consequence of the enormous s- mulus from the various international programs on advanced computing, e.g.

Monte Carlo Simulation and Finance

Author : Don L. McLeish
Publisher : John Wiley & Sons
ISBN 13 : 1118160940
Total Pages : 308 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Monte Carlo Simulation and Finance by : Don L. McLeish

Download or read book Monte Carlo Simulation and Finance written by Don L. McLeish and published by John Wiley & Sons. This book was released on 2011-09-13 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.

Valuation, Empirical Analysis, and Optimal Exercise of Open-End Turbo Certificates

Author : Sebastian Paik
Publisher : University of Bamberg Press
ISBN 13 : 3863091787
Total Pages : 365 pages
Book Rating : 4.8/5 (63 download)

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Book Synopsis Valuation, Empirical Analysis, and Optimal Exercise of Open-End Turbo Certificates by : Sebastian Paik

Download or read book Valuation, Empirical Analysis, and Optimal Exercise of Open-End Turbo Certificates written by Sebastian Paik and published by University of Bamberg Press. This book was released on 2014 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Financial Modeling, fifth edition

Author : Simon Benninga
Publisher : MIT Press
ISBN 13 : 0262368242
Total Pages : 1049 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Financial Modeling, fifth edition by : Simon Benninga

Download or read book Financial Modeling, fifth edition written by Simon Benninga and published by MIT Press. This book was released on 2022-02-08 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.

American-Type Options

Author : Dmitrii S. Silvestrov
Publisher : Walter de Gruyter
ISBN 13 : 3110329824
Total Pages : 520 pages
Book Rating : 4.1/5 (13 download)

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Book Synopsis American-Type Options by : Dmitrii S. Silvestrov

Download or read book American-Type Options written by Dmitrii S. Silvestrov and published by Walter de Gruyter. This book was released on 2013-11-27 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book gives a systematical presentation of stochastic approximation methods for models of American-type options with general pay-off functions for discrete time Markov price processes. Advanced methods combining backward recurrence algorithms for computing of option rewards and general results on convergence of stochastic space skeleton and tree approximations for option rewards are applied to a variety of models of multivariate modulated Markov price processes. The principal novelty of presented results is based on consideration of multivariate modulated Markov price processes and general pay-off functions, which can depend not only on price but also an additional stochastic modulating index component, and use of minimal conditions of smoothness for transition probabilities and pay-off functions, compactness conditions for log-price processes and rate of growth conditions for pay-off functions. The book also contains an extended bibliography of works in the area. This book is the first volume of the comprehensive two volumes monograph. The second volume will present results on structural studies of optimal stopping domains, Monte Carlo based approximation reward algorithms, and convergence of American-type options for autoregressive and continuous time models, as well as results of the corresponding experimental studies.

Monte Carlo and Quasi-Monte Carlo Sampling

Author : Christiane Lemieux
Publisher : Springer Science & Business Media
ISBN 13 : 038778165X
Total Pages : 373 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Monte Carlo and Quasi-Monte Carlo Sampling by : Christiane Lemieux

Download or read book Monte Carlo and Quasi-Monte Carlo Sampling written by Christiane Lemieux and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quasi–Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their successful implementation on practical problems, especially in finance, has motivated the development of several new research areas within this field to which practitioners and researchers from various disciplines currently contribute. This book presents essential tools for using quasi–Monte Carlo sampling in practice. The first part of the book focuses on issues related to Monte Carlo methods—uniform and non-uniform random number generation, variance reduction techniques—but the material is presented to prepare the readers for the next step, which is to replace the random sampling inherent to Monte Carlo by quasi–random sampling. The second part of the book deals with this next step. Several aspects of quasi-Monte Carlo methods are covered, including constructions, randomizations, the use of ANOVA decompositions, and the concept of effective dimension. The third part of the book is devoted to applications in finance and more advanced statistical tools like Markov chain Monte Carlo and sequential Monte Carlo, with a discussion of their quasi–Monte Carlo counterpart. The prerequisites for reading this book are a basic knowledge of statistics and enough mathematical maturity to follow through the various techniques used throughout the book. This text is aimed at graduate students in statistics, management science, operations research, engineering, and applied mathematics. It should also be useful to practitioners who want to learn more about Monte Carlo and quasi–Monte Carlo methods and researchers interested in an up-to-date guide to these methods.

Quantitative Methods in Economics and Finance

Author : Tomas Kliestik
Publisher : MDPI
ISBN 13 : 3036505369
Total Pages : 164 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Quantitative Methods in Economics and Finance by : Tomas Kliestik

Download or read book Quantitative Methods in Economics and Finance written by Tomas Kliestik and published by MDPI. This book was released on 2021-04-08 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the Special Issue “Quantitative Methods in Economics and Finance” of the journal Risks was to provide a collection of papers that reflect the latest research and problems of pricing complex derivates, simulation pricing, analysis of financial markets, and volatility of exchange rates in the international context. This book can be used as a reference for academicians and researchers who would like to discuss and introduce new developments in the field of quantitative methods in economics and finance and explore applications of quantitative methods in other business areas.

Simulation Techniques in Financial Risk Management

Author : Ngai Hang Chan
Publisher : John Wiley & Sons
ISBN 13 : 1118735994
Total Pages : 227 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Simulation Techniques in Financial Risk Management by : Ngai Hang Chan

Download or read book Simulation Techniques in Financial Risk Management written by Ngai Hang Chan and published by John Wiley & Sons. This book was released on 2015-04-22 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition “...a nice, self-contained introduction to simulation and computational techniques in finance...” – Mathematical Reviews Simulation Techniques in Financial Risk Management, Second Edition takes a unique approach to the field of simulations by focusing on techniques necessary in the fields of finance and risk management. Thoroughly updated, the new edition expands on several key topics in these areas and presents many of the recent innovations in simulations and risk management, such as advanced option pricing models beyond the Black–Scholes paradigm, interest rate models, MCMC methods including stochastic volatility models simulations, model assets and model-free properties, jump diffusion, and state space modeling. The Second Edition also features: Updates to primary software used throughout the book, Microsoft Office® Excel® VBA New topical coverage on multiple assets, model-free properties, and related models More than 300 exercises at the end of each chapter, with select answers in the appendix, to help readers apply new concepts and test their understanding Extensive use of examples to illustrate how to use simulation techniques in risk management Practical case studies, such as the pricing of exotic options; simulations of Greeks in hedging; and the use of Bayesian ideas to assess the impact of jumps, so readers can reproduce the results of the studies A related website with additional solutions to problems within the book as well as Excel VBA and S-Plus computer code for many of the examples within the book Simulation Techniques in Financial Risk Management, Second Edition is an invaluable resource for risk managers in the financial and actuarial industries as well as a useful reference for readers interested in learning how to better gauge risk and make more informed decisions. The book is also ideal for upper-undergraduate and graduate-level courses in simulation and risk management.

Numerical Methods in Finance and Economics

Author : Paolo Brandimarte
Publisher : John Wiley & Sons
ISBN 13 : 1118625579
Total Pages : 501 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Numerical Methods in Finance and Economics by : Paolo Brandimarte

Download or read book Numerical Methods in Finance and Economics written by Paolo Brandimarte and published by John Wiley & Sons. This book was released on 2013-06-06 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms. Newly featured in the Second Edition: * In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies * New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12 * New chapter on binomial and trinomial lattices * Additional treatment of partial differential equations with two space dimensions * Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance * New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.

Financial Modeling, fourth edition

Author : Simon Benninga
Publisher : MIT Press
ISBN 13 : 026232170X
Total Pages : 1143 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Financial Modeling, fourth edition by : Simon Benninga

Download or read book Financial Modeling, fourth edition written by Simon Benninga and published by MIT Press. This book was released on 2014-04-18 with total page 1143 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially revised edition of a bestselling text combining explanation and implementation using Excel; for classroom use or as a reference for finance practitioners. Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the “cookbook” features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets. Sections on technical aspects of Excel and on the use of Visual Basic for Applications (VBA) round out the book to make Financial Modeling a complete guide for the financial modeler. The new edition of Financial Modeling includes a number of innovations. A new section explains the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation. A new chapter discusses term structure modeling, with special emphasis on the Nelson-Siegel model. The discussion of corporate valuation using pro forma models has been rounded out with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters. New print copies of this book include a card affixed to the inside back cover with a unique access code. Access codes are required to download Excel worksheets and solutions to end-of-chapter exercises. If you have a used copy of this book, you may purchase a digitally-delivered access code separately via the Supplemental Material link on this page. If you purchased an e-book, you may obtain a unique access code by emailing [email protected] or calling 617-253-2889 or 800-207-8354 (toll-free in the U.S. and Canada). Praise for earlier editions “Financial Modeling belongs on the desk of every finance professional. Its no-nonsense, hands-on approach makes it an indispensable tool.” —Hal R. Varian, Dean, School of Information Management and Systems, University of California, Berkeley “Financial Modeling is highly recommended to readers who are interested in an introduction to basic, traditional approaches to financial modeling and analysis, as well as to those who want to learn more about applying spreadsheet software to financial analysis." —Edward Weiss, Journal of Computational Intelligence in Finance “Benninga has a clear writing style and uses numerous illustrations, which make this book one of the best texts on using Excel for finance that I've seen.” —Ed McCarthy, Ticker Magazine

Computational Finance and Its Applications III

Author : M. Costantino
Publisher : WIT Press
ISBN 13 : 1845641116
Total Pages : 257 pages
Book Rating : 4.8/5 (456 download)

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Book Synopsis Computational Finance and Its Applications III by : M. Costantino

Download or read book Computational Finance and Its Applications III written by M. Costantino and published by WIT Press. This book was released on 2008 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring papers from the Third International Conference on Computational Finance and its Applications, the text includes papers that encompass a wide range of topics such as modern financial services technologies, derivatives pricing, portfolio management and asset allocation, and intelligent trading agents.

Tools for Computational Finance

Author : Rüdiger U. Seydel
Publisher : Springer
ISBN 13 : 1447173384
Total Pages : 498 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Tools for Computational Finance by : Rüdiger U. Seydel

Download or read book Tools for Computational Finance written by Rüdiger U. Seydel and published by Springer. This book was released on 2017-08-17 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational and numerical methods are used in a number of ways across the field of finance. It is the aim of this book to explain how such methods work in financial engineering. By concentrating on the field of option pricing, a core task of financial engineering and risk analysis, this book explores a wide range of computational tools in a coherent and focused manner and will be of use to anyone working in computational finance. Starting with an introductory chapter that presents the financial and stochastic background, the book goes on to detail computational methods using both stochastic and deterministic approaches. Now in its sixth edition, Tools for Computational Finance has been significantly revised and contains: Several new parts such as a section on extended applications of tree methods, including multidimensional trees, trinomial trees, and the handling of dividends; Additional material in the field of generating normal variates with acceptance-rejection methods, and on Monte Carlo methods; 115 exercises, and more than 100 figures, many in color. Written from the perspective of an applied mathematician, all methods are introduced for immediate and straightforward application. A ‘learning by calculating’ approach is adopted throughout this book, enabling readers to explore several areas of the financial world. Interdisciplinary in nature, this book will appeal to advanced undergraduate and graduate students in mathematics, engineering, and other scientific disciplines as well as professionals in financial engineering.