Structured Finance

The Object Oriented Approach

Author: Umberto Cherubini,Giovanni Della Lunga

Publisher: John Wiley & Sons

ISBN: 9780470512722

Category: Business & Economics

Page: 298

View: 1390

Structured Finance: The Object Orientated Approach is aimed at both the finance and IT professionals involved in the structured finance business with the intention of sharing common concepts and language within the industry. The financial community (structurers, pricers and risk managers) view structured products as collections of objects under the so-called replicating portfolio paradigm. The IT community use object oriented programming (OOP) techniques to improve the software updating and maintenance process. For them structured products are collections of objects as well. Despite use of the same object concept, it looks like communication between these different professional functions has been problematic. Recently, construction of standard data structures known as FpML has begun to lay out a common definition of objects, at least for plain vanilla derivatives, both between IT and financial people and across different market players. Along this line, this book builds upon the concept of object to provide frontier treatment of structured finance issues relevant to both communities engaged in building, pricing and hedging products and people engaged in designing and up-dating the corresponding software. Structured Finance: The Object Orientated Approach will enable you to: decompose a structured product in elementary constituent financial objects and risk factors (replicating portfolio) understand the basics of object oriented programming (OOP) applied to the design of structured cash flows objects build your own objects and to understand FpML data structures available for standard products gauge risk exposures of the objects in structured products to: risk factors, their volatilities and the correlation among them (which factor are you long/short? Are you long/short volatility? Are you long/short correlation?) update your risk management system to accommodate structured products with non linear exposures and to design objects to represent, price and hedge, counterparty risk
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Implementing Models of Financial Derivatives

Object Oriented Applications with VBA

Author: Nick Webber

Publisher: John Wiley & Sons

ISBN: 0470661844

Category: Business & Economics

Page: 692

View: 4071

Implementing Models of Financial Derivatives is a comprehensive treatment of advanced implementation techniques in VBA for models of financial derivatives. Aimed at readers who are already familiar with the basics of VBA it emphasizes a fully object oriented approach to valuation applications, chiefly in the context of Monte Carlo simulation but also more broadly for lattice and PDE methods. Its unique approach to valuation, emphasizing effective implementation from both the numerical and the computational perspectives makes it an invaluable resource. The book comes with a library of almost a hundred Excel spreadsheets containing implementations of all the methods and models it investigates, including a large number of useful utility procedures. Exercises structured around four application streams supplement the exposition in each chapter, taking the reader from basic procedural level programming up to high level object oriented implementations. Written in eight parts, parts 1-4 emphasize application design in VBA, focused around the development of a plain Monte Carlo application. Part 5 assesses the performance of VBA for this application, and the final 3 emphasize the implementation of a fast and accurate Monte Carlo method for option valuation. Key topics include: ?Fully polymorphic factories in VBA; ?Polymorphic input and output using the TextStream and FileSystemObject objects; ?Valuing a book of options; ?Detailed assessment of the performance of VBA data structures; ?Theory, implementation, and comparison of the main Monte Carlo variance reduction methods; ?Assessment of discretization methods and their application to option valuation in models like CIR and Heston; ?Fast valuation of Bermudan options by Monte Carlo. Fundamental theory and implementations of lattice and PDE methods are presented in appendices and developed through the book in the exercise streams. Spanning the two worlds of academic theory and industrial practice, this book is not only suitable as a classroom text in VBA, in simulation methods, and as an introduction to object oriented design, it is also a reference for model implementers and quants working alongside derivatives groups. Its implementations are a valuable resource for students, teachers and developers alike. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
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Financial Modelling

Theory, Implementation and Practice with MATLAB Source

Author: Joerg Kienitz,Daniel Wetterau

Publisher: John Wiley & Sons

ISBN: 1118413296

Category: Business & Economics

Page: 736

View: 2687

Financial Modelling - Theory, Implementation and Practice is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi-) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Lévy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor Market model. Source code used for producing the results and analysing the models is provided on the author’s dedicated website, http://www.mathworks.de/matlabcentral/fileexchange/authors/246981
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Financial Instrument Pricing Using C++

Author: Daniel J. Duffy

Publisher: John Wiley & Sons

ISBN: 1119170494

Category: Business & Economics

Page: 1168

View: 8293

An integrated guide to C++ and computational finance This complete guide to C++ and computational finance is a follow-up and major extension to Daniel J. Duffy's 2004 edition of Financial Instrument Pricing Using C++. Both C++ and computational finance have evolved and changed dramatically in the last ten years and this book documents these improvements. Duffy focuses on these developments and the advantages for the quant developer by: Delving into a detailed account of the new C++11 standard and its applicability to computational finance. Using de-facto standard libraries, such as Boost and Eigen to improve developer productivity. Developing multiparadigm software using the object-oriented, generic, and functional programming styles. Designing flexible numerical algorithms: modern numerical methods and multiparadigm design patterns. Providing a detailed explanation of the Finite Difference Methods through six chapters, including new developments such as ADE, Method of Lines (MOL), and Uncertain Volatility Models. Developing applications, from financial model to algorithmic design and code, through a coherent approach. Generating interoperability with Excel add-ins, C#, and C++/CLI. Using random number generation in C++11 and Monte Carlo simulation. Duffy adopted a spiral model approach while writing each chapter of Financial Instrument Pricing Using C++ 2e: analyse a little, design a little, and code a little. Each cycle ends with a working prototype in C++ and shows how a given algorithm or numerical method works. Additionally, each chapter contains non-trivial exercises and projects that discuss improvements and extensions to the material. This book is for designers and application developers in computational finance, and assumes the reader has some fundamental experience of C++ and derivatives pricing. HOW TO RECEIVE THE SOURCE CODE Once you have purchased a copy of the book please send an email to the author dduffyATdatasim.nl requesting your personal and non-transferable copy of the source code. Proof of purchase is needed. The subject of the mail should be “C++ Book Source Code Request”. You will receive a reply with a zip file attachment.
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Intermediate Structured Finance Modeling

Leveraging Excel, VBA, Access, and Powerpoint

Author: William Preinitz,Matthew Niedermaier

Publisher: John Wiley & Sons

ISBN: 0470928786

Category: Business & Economics

Page: 1032

View: 7329

This book provides a pragmatic, hands-on approach to reaching an intermediate level of sophistication as a financial modeler. Expanding on the first book, A Fast Tract to Structured Finance Modeling, Monitoring, and Valuation, the book will guide you step-by-step through using learned principals in new and more powerful applications. These applications will build on the knowledge of Excel and VBA gained, expand the use of Access for data management tasks, as well as PowerPoint and Outlook for reporting and presentation tasks.
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A Fast Track To Structured Finance Modeling, Monitoring and Valuation

Jump Start VBA

Author: William Preinitz

Publisher: John Wiley & Sons

ISBN: 9780470446065

Category: Business & Economics

Page: 560

View: 9624

This book is designed to start with simple examples that progressively develop the reader's confidence to take on more complex tasks. There is very little theoretical discussion about computer science, operations research algorithms, mathematics, or finance. The thrust of the book is to teach the reader to break complex tasks down into simple tasks. It then looks to implement those simple tasks into VBA code using a critical subset of the features of the language. The tentative contents is: (1) Why? What? Who? Where? and How? (2) Common Sense (3) Securitizing A Loan Portfolio (4) Understanding the Excel Waterfall (5) Designing the VBA Model (6) Laying the Model Groundwork (7) Recorded Macros: A First Look at the VBA Language (8) Writing Menus: An Introduction to Data, Ranges, Arrays, and Objects (9) Controlling the Flow of the Model (10) Building Messaging Capabilities (11) Designing the Model’s Reports (12) Main Program and Menus (13) Writing the Collateral Selection Code (14) Calculating the Cash Flows (15) Running the Waterfall: Producing Initial Results (16) Debugging the Model (17) Validating the Model (18) Running the Model (19) Building Additional Capabilities (20) Documentation of the Model (21) Managing the Growth of the Model (22) Building Portfolio Monitoring Model (23) Valuation Techniques: How do we Determine Price? (24) Challenging Times For the Deal (25) Parting Admonitions
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Structured Finance Modeling with Object-Oriented VBA

Author: Evan Tick

Publisher: John Wiley & Sons

ISBN: 1118160665

Category: Business & Economics

Page: 352

View: 1348

A detailed look at how object-oriented VBA should be used to model complex financial structures This guide helps readers overcome the difficult task of modeling complex financial structures and bridges the gap between professional C++/Java programmers writing production models and front-office analysts building Excel spreadsheet models. It reveals how to model financial structures using object-oriented VBA in an Excel environment, allowing desk-based analysts to quickly produce flexible and robust models. Filled with in-depth insight and expert advice, it skillfully illustrates the art of object-oriented programming for the explicit purpose of modeling structured products. Residential mortgage securitization is used as a unifying example throughout the text.
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C# for Financial Markets

Author: Daniel J. Duffy,Andrea Germani

Publisher: John Wiley & Sons

ISBN: 1118502833

Category: Business & Economics

Page: 856

View: 3754

A practice-oriented guide to using C# to design and program pricing and trading models In this step-by-step guide to software development for financial analysts, traders, developers and quants, the authors show both novice and experienced practitioners how to develop robust and accurate pricing models and employ them in real environments. Traders will learn how to design and implement applications for curve and surface modeling, fixed income products, hedging strategies, plain and exotic option modeling, interest rate options, structured bonds, unfunded structured products, and more. A unique mix of modern software technology and quantitative finance, this book is both timely and practical. The approach is thorough and comprehensive and the authors use a combination of C# language features, design patterns, mathematics and finance to produce efficient and maintainable software. Designed for quant developers, traders and MSc/MFE students, each chapter has numerous exercises and the book is accompanied by a dedicated companion website, http://www.datasimfinancial.com/forum/viewforum.php?f=196&sid=f30022095850dee48c7db5ff62192b34, providing all source code, alongside audio, support and discussion forums for readers to comment on the code and obtain new versions of the software.
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Interest Rate Swaps and Their Derivatives

A Practitioner's Guide

Author: Amir Sadr

Publisher: John Wiley & Sons

ISBN: 9780470526118

Category: Business & Economics

Page: 272

View: 4222

An up-to-date look at the evolution of interest rate swaps and derivatives Interest Rate Swaps and Derivatives bridges the gap between the theory of these instruments and their actual use in day-to-day life. This comprehensive guide covers the main "rates" products, including swaps, options (cap/floors, swaptions), CMS products, and Bermudan callables. It also covers the main valuation techniques for the exotics/structured-notes area, which remains one of the most challenging parts of the market. Provides a balance of relevant theory and real-world trading instruments for rate swaps and swap derivatives Uses simple settings and illustrations to reveal key results Written by an experienced trader who has worked with swaps, options, and exotics With this book, author Amir Sadr shares his valuable insights with practitioners in the field of interest rate derivatives-from traders and marketers to those in operations.
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Cash CDO Modelling in Excel

A Step by Step Approach

Author: Darren Smith,Pamela Winchie

Publisher: John Wiley & Sons

ISBN: 0470971673

Category: Business & Economics

Page: 354

View: 2874

This book is an introduction to the modelling of cash collateralised debt obligations (“CDOs”). It is intended that the reader have a basic understanding of CDOs and a basic working knowledge of Microsoft Office Excel. There will be written explanations of concepts along with understandable mathematical explanations and examples provided in Excel. A CD-ROM containing these Excel examples will accompany the book.
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Monte Carlo Frameworks

Building Customisable High-performance C++ Applications

Author: Daniel J. Duffy,Joerg Kienitz

Publisher: John Wiley & Sons

ISBN: 0470684062

Category: Business & Economics

Page: 775

View: 7834

This is one of the first books that describe all the steps that are needed in order to analyze, design and implement Monte Carlo applications. It discusses the financial theory as well as the mathematical and numerical background that is needed to write flexible and efficient C++ code using state-of-the art design and system patterns, object-oriented and generic programming models in combination with standard libraries and tools. Includes a CD containing the source code for all examples. It is strongly advised that you experiment with the code by compiling it and extending it to suit your needs. Support is offered via a user forum on www.datasimfinancial.com where you can post queries and communicate with other purchasers of the book. This book is for those professionals who design and develop models in computational finance. This book assumes that you have a working knowledge of C ++.
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Modeling Structured Finance Cash Flows with Microsoft?Excel

A Step-by-Step Guide

Author: Keith A. Allman

Publisher: John Wiley & Sons

ISBN: 9781118044667

Category: Business & Economics

Page: 199

View: 4237

A practical guide to building fully operational financial cash flow models for structured finance transactions Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go. Modeling Structured Finance Cash Flows with Microsoft Excel provides readers with the information they need to build a cash flow model for structured finance and securitization deals. Financial professional Keith Allman explains individual functions and formulas, while also explaining the theory behind the spreadsheets. Each chapter begins with a discussion of theory, followed by a section called "Model Builder," in which Allman translates the theory into functions and formulas. In addition, the companion website features all of the modeling exercises, as well as a final version of the model that is created in the text. Note: Companion website and other supplementary materials are not included as part of eBook file.
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Property Finance

An International Approach

Author: Giacomo Morri,Antonio Mazza

Publisher: John Wiley & Sons

ISBN: 1118764404

Category: Business & Economics

Page: 272

View: 3974

A unique, international approach to optimal real estate financing Property Finance is an authoritative guide to both the financial and legal issues surrounding real estate financing. Unique in its exclusive focus on the topic, this book builds from a solid theoretical foundation to provide practical tools and real-world solutions. Beginning with a discussion of the general issues encountered in real estate finance from an international perspective, the authors delve into country-specific information and set out the legal peculiarities of eight important countries (Germany, France, Italy, Spain, China, India, England and Wales) by asking questions of relevance to the leading local law firms specializing in real estate financing. The reader may thus consider in greater depth the problems relating to any given country and compare and contrast the positions under different legal systems. Examples with numerical calculations and contract excerpts enhance the explanations presented, and are immediately followed by practical case studies that illustrate the mechanisms at work. The companion website features downloadable spreadsheets used in the examples, power point presentations, as well as real estate news and more. Property financing entails many sources of capital, including both debt and equity resources as well as hybrid forms like preferred equity and mezzanine debt. Knowing how to work with these avenues is important to ensuring financial sustainability in real estate assets. Property Finance covers the most common issues encountered, helping readers prepare for and find a way around possible roadblocks. Consider the issues surrounding real estate lending at an international level Compare and contrast the positions under different legal systems Develop an international perspective on cash flows and financing agreements Use powerful tools to structure financing and gauge its effects on property financing The success of a real estate investment is dependent upon optimal financing, and a mere bird's eye view of the topic does not fully prepare investors for issues ahead: Property Finance provides a knowledge-based approach to real estate investment, detailed information and powerful tools.
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Introduction to Private Equity

Venture, Growth, LBO and Turn-Around Capital

Author: Cyril Demaria

Publisher: John Wiley & Sons

ISBN: 1118571916

Category: Business & Economics

Page: 408

View: 2914

This second edition of Introduction to Private Equity is more than an update, it reflects the dramatic changes which have affected an industry which is evolving rapidly, internationalizing and maturing fast. What is recognized as a critical yet grounded guide to the private equity industry blends academic rigour with practical experience. It provides a clear, synthetic and critical perspective of the industry from a professional who has worked at many levels within the industry; including insurance, funds of funds, funds and portfolio companies. The book approaches the private equity sector top-down, to provide a sense of its evolution and how the current situation has been built. It then details the interrelations between investors, funds, fund managers and entrepreneurs. At this point, the perspective shifts to bottom-up, how a private business is valued, how transactions are processed and the due diligence issues to consider before moving ahead. Introduction to Private Equity, Second Edition covers the private equity industry as a whole, putting its recent developments (such as secondary markets, crowdfunding, venture capital in emerging markets) into perspective. The book covers its organization, governance and function, then details the various segments within the industry, including Leveraged Buy-Outs, Venture Capital, Mezzanine Financing, Growth Capital, Distressed Debt, Turn-Around Capital, Funds of Funds and beyond. Finally, it offers a framework to anticipate and understand its future developments. This book provides a balanced perspective on the corporate governance challenges affecting the industry and draws perspectives on the evolution of the sector, following a major crisis.
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Derivatives Analytics with Python - Data Analytics, Models, Simulation, Calibration and Hedging + WS

Author: Yves Hilpisch

Publisher: John Wiley & Sons

ISBN: 1119037999

Category: Business & Economics

Page: 352

View: 4757

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging provides the necessary background information, theoretical foundations and numerical tools to implement a market-based valuation of stock index options. Topics are, amongst others, stylized facts of equity and options markets, risk-neutral valuation, Fourier transform methods, Monte Carlo simulation, model calibration, valuation and dynamic hedging. The financial models introduced in this book exhibit features like stochastic volatility, jump components and stochastic short rates. The approach is a practical one in that all important aspects are illustrated by a set of self-contained Python scripts. Benefits of Reading the Book: Data Analysis: Learn how to use Python for data and financial analysis. Reproduce major stylized facts of equity and options markets by yourself. Models: Learn risk-neutral pricing techniques from ground up, apply Fourier transform techniques to European options and advanced Monte Carlo pricing to American options. Simulation: Monte Carlo simulation is the most powerful and flexible numerical method for derivatives analytics. Simulate models with jumps, stochastic volatility and stochastic short rates. Calibration: Use global and local optimization techniques (incl. penalties) to calibrate advanced option pricing models to market quotes for options with different strikes and maturities. Hedging: Learn how to use advanced option pricing models in combination with advanced numerical methods to dynamically hedge American options. Python: All results, graphics, etc. presented are in general reproducible with the Python scripts accompanying the book. Benefit from more than 5,500 lines of code.
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Hedge Fund Modelling and Analysis using MATLAB

Author: Paul Darbyshire,David Hampton

Publisher: John Wiley & Sons

ISBN: 1119967686

Category: Business & Economics

Page: 208

View: 897

The second book in Darbyshire and Hampton’s Hedge Fund Modelling and Analysis series, Hedge Fund Modelling and Analysis Using MATLAB® takes advantage of the huge library of built-in functions and suite of financial and analytic packages available to MATLAB®. This allows for a more detailed analysis of some of the more computationally intensive and advanced topics, such as hedge fund classification, performance measurement and mean-variance optimisation. Darbyshire and Hampton’s first book in the series, Hedge Fund Modelling and Analysis Using Excel & and VBA, is seen as a valuable supplementary text to this book. Starting with an overview of the hedge fund industry the book then looks at a variety of commercially available hedge fund data sources. After covering key statistical techniques and methods, the book discusses mean-variance optimisation, hedge fund classification and performance with an emphasis on risk-adjusted return metrics. Finally, common hedge fund market risk management techniques, such as traditional Value-at-Risk methods, modified extensions and expected shortfall are covered. The book’s dedicated website, www.darbyshirehampton.com provides free downloads of all the data and MATLAB® source code, as well as other useful resources. Hedge Fund Modelling and Analysis Using MATLAB® serves as a definitive introductory guide to hedge fund modelling and analysis and will provide investors, industry practitioners and students alike with a useful range of tools and techniques for analysing and estimating alpha and beta sources of return, performing manager ranking and market risk management.
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M&A Information Technology Best Practices

Author: Janice M. Roehl-Anderson

Publisher: John Wiley & Sons

ISBN: 1118741064

Category: Business & Economics

Page: 576

View: 352

Add value to your organization via the mergers & acquisitions IT function As part of Deloitte Consulting, one of the largest mergers and acquisitions (M&A) consulting practice in the world, author Janice Roehl-Anderson reveals in M&A Information Technology Best Practices how companies can effectively and efficiently address the IT aspects of mergers, acquisitions, and divestitures. Filled with best practices for implementing and maintaining systems, this book helps financial and technology executives in every field to add value to their mergers, acquisitions, and/or divestitures via the IT function. Features a companion website containing checklists and templates Includes chapters written by Deloitte Consulting senior personnel Outlines best practices with pragmatic insights and proactive strategies Many M&As fail to meet their expectations. Be prepared to succeed with the thorough and proven guidance found in M&A Information Technology Best Practices. This one-stop resource allows participants in these deals to better understand the implications of what they need to do and how
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Advanced Quantitative Finance with C++

Author: Alonso Peña, Ph.D.

Publisher: Packt Publishing Ltd

ISBN: 1782167234

Category: Computers

Page: 124

View: 7051

The book takes the reader through a fast but structured crash-course in quantitative finance, from theory to practice. If you are a quantitative analyst, risk manager, actuary, or a professional working in the field of quantitative finance and want a quick hands-on introduction to the pricing of financial derivatives, this book is ideal for you. You should be familiar with the basic programming concepts and C++ programming language. You should also be acquainted with calculus of undergraduate level.
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Introduction to C++ for Financial Engineers

An Object-Oriented Approach

Author: Daniel J. Duffy

Publisher: John Wiley & Sons

ISBN: 1118856465

Category: Business & Economics

Page: 440

View: 2763

This book introduces the reader to the C++ programming language and how to use it to write applications in quantitative finance (QF) and related areas. No previous knowledge of C or C++ is required -- experience with VBA, Matlab or other programming language is sufficient. The book adopts an incremental approach; starting from basic principles then moving on to advanced complex techniques and then to real-life applications in financial engineering. There are five major parts in the book: C++ fundamentals and object-oriented thinking in QF Advanced object-oriented features such as inheritance and polymorphism Template programming and the Standard Template Library (STL) An introduction to GOF design patterns and their applications in QF Applications The kinds of applications include binomial and trinomial methods, Monte Carlo simulation, advanced trees, partial differential equations and finite difference methods. This book includes a companion website with all source code and many useful C++ classes that you can use in your own applications. Examples, test cases and applications are directly relevant to QF. This book is the perfect companion to Daniel J. Duffy’s book Financial Instrument Pricing using C++ (Wiley 2004, 0470855096 / 9780470021620)
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