Options And Derivatives Programming In C 23

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Options and Derivatives Programming in C++23

Author : Carlos Oliveira
Publisher : Apress
Page : 0 pages
File Size : 46,7 Mb
Release : 2023-11-23
Category : Computers
ISBN : 1484298268

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Options and Derivatives Programming in C++23 by Carlos Oliveira Pdf

This book is a hands-on guide for programmers who want to learn how C++ is used to develop solutions for options and derivatives trading in the financial industry. It explores the main algorithms and programming techniques used in implementing systems and solutions for trading options and derivatives. This updated edition will bring forward new advances in C++ software language and libraries, with a particular focus on the new C++23 standard. The book starts by covering C++ language features that are frequently used to write financial software for options and derivatives. These features include the STL (standard template library), generic templates, functional programming, and support for numerical code. Examples include additional support for lambda functions with simplified syntax, improvements in automatic type detection for templates, custom literals, modules, constant expressions, and improved initialization strategies for C++ objects. This book also provides how-to examples that cover all the major tools and concepts used to build working solutions for quantitative finance. It discusses how to create bug-free and efficient applications, leveraging the knowledge of object-oriented and template-based programming. It has two new chapters covering backtesting option strategies and processing financial data.. It introduces the topics covered in the book in a logical and structured way, with lots of examples that will bring them to life. Options and Derivatives Programming in C++23 has been written with the goal of reaching readers who are looking for a concise, algorithms-based book that provides basic information through well-targeted examples and ready to use solutions. What You Will Learn Gain insight into the fundamental challenges of the options and derivatives market Master the features of the C++ language used in quantitative financial programming Understand quantitative finance algorithms for options and derivatives Build pricing algorithms around the Black-Scholes model, and use binomial and differential equations methods Who This Book Is For Professional developers who have some experience with the C++ language and would like to leverage that knowledge into financial software development.

Options and Derivatives Programming in C++

Author : CARLOS OLIVEIRA
Publisher : Apress
Page : 273 pages
File Size : 46,8 Mb
Release : 2016-09-30
Category : Computers
ISBN : 9781484218143

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Options and Derivatives Programming in C++ by CARLOS OLIVEIRA Pdf

Learn how C++ is used in the development of solutions for options and derivatives trading in the financial industry. As an important part of the financial industry, options and derivatives trading has become increasingly sophisticated. Advanced trading techniques using financial derivatives have been used at banks, hedge funds, and pension funds. Because of stringent performance characteristics, most of these trading systems are developed using C++ as the main implementation language. Options and Derivatives Programming in C++ covers features that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and support for numerical libraries. New features introduced in the C++11 and C++14 standard are also covered: lambda functions, automatic type detection, custom literals, and improved initialization strategies for C++ objects. Readers will enjoy the how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. It includes advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming. Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The topics covered in the book are introduced in a logical and structured way and even novice programmers will be able to absorb the most important topics and competencies. What You Will Learn Grasp the fundamental problems in options and derivatives trading Converse intelligently about credit default swaps, Forex derivatives, and more Implement valuation models and trading strategies Build pricing algorithms around the Black-Sholes Model, and also using the Binomial and Differential Equations methods Run quantitative finance algorithms using linear algebra techniques Recognize and apply the most common design patterns used in options trading Save time by using the latest C++ features such as the STL and the Boost libraries Who This Book Is For Professional developers who have some experience with the C++ language and would like to leverage that knowledge into financial software development. This book is written with the goal of reaching readers who need a concise, algorithms-based book, providing basic information through well-targeted examples and ready to use solutions. Readers will be able to directly apply the concepts and sample code to some of the most common problems faced in the analysis of options and derivative contracts.

Options and Derivatives Programming in C++

Author : CARLOS OLIVEIRA
Publisher : Apress
Page : 0 pages
File Size : 41,5 Mb
Release : 2016-09-30
Category : Computers
ISBN : 1484218132

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Options and Derivatives Programming in C++ by CARLOS OLIVEIRA Pdf

Learn how C++ is used in the development of solutions for options and derivatives trading in the financial industry. As an important part of the financial industry, options and derivatives trading has become increasingly sophisticated. Advanced trading techniques using financial derivatives have been used at banks, hedge funds, and pension funds. Because of stringent performance characteristics, most of these trading systems are developed using C++ as the main implementation language. Options and Derivatives Programming in C++ covers features that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and support for numerical libraries. New features introduced in the C++11 and C++14 standard are also covered: lambda functions, automatic type detection, custom literals, and improved initialization strategies for C++ objects. Readers will enjoy the how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. It includes advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming. Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The topics covered in the book are introduced in a logical and structured way and even novice programmers will be able to absorb the most important topics and competencies. What You Will Learn Grasp the fundamental problems in options and derivatives trading Converse intelligently about credit default swaps, Forex derivatives, and more Implement valuation models and trading strategies Build pricing algorithms around the Black-Sholes Model, and also using the Binomial and Differential Equations methods Run quantitative finance algorithms using linear algebra techniques Recognize and apply the most common design patterns used in options trading Save time by using the latest C++ features such as the STL and the Boost libraries Who This Book Is For Professional developers who have some experience with the C++ language and would like to leverage that knowledge into financial software development. This book is written with the goal of reaching readers who need a concise, algorithms-based book, providing basic information through well-targeted examples and ready to use solutions. Readers will be able to directly apply the concepts and sample code to some of the most common problems faced in the analysis of options and derivative contracts.

Options and Derivatives Programming in C++20

Author : Carlos Oliveira
Publisher : Apress
Page : 128 pages
File Size : 42,6 Mb
Release : 2021-02-18
Category : Computers
ISBN : 1484263146

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Options and Derivatives Programming in C++20 by Carlos Oliveira Pdf

Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries. This book also covers new features introduced in C++20 and other recent standard releases: modules, concepts, spaceship operators, and smart pointers. You will explore how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. These include advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming. Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The topics covered in the book are introduced in a logical and structured way and even novice programmers will be able to absorb the most important topics and competencies. This book is written with the goal of reaching readers who need a concise, algorithms-based book, providing basic information through well-targeted examples and ready-to-use solutions. You will be able to directly apply the concepts and sample code to some of the most common problems faced in the analysis of options and derivative contracts. What You Will Learn Discover how C++ is used in the development of solutions for options and derivatives trading in the financial industry Grasp the fundamental problems in options and derivatives trading Converse intelligently about credit default swaps, Forex derivatives, and more Implement valuation models and trading strategies Build pricing algorithms around the Black-Sholes model, and also using the binomial and differential equations methods Run quantitative finance algorithms using linear algebra techniques Recognize and apply the most common design patterns used in options trading Who This Book Is For Professional developers who have some experience with the C++ language and would like to leverage that knowledge into financial software development.

C++ Design Patterns and Derivatives Pricing

Author : Mark Suresh Joshi
Publisher : Cambridge University Press
Page : 220 pages
File Size : 52,6 Mb
Release : 2004-08-05
Category : Business & Economics
ISBN : 0521832357

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C++ Design Patterns and Derivatives Pricing by Mark Suresh Joshi Pdf

Design patterns are the cutting-edge paradigm for programming in object-oriented languages. Here they are discussed, for the first time in a book, in the context of implementing financial models in C++. Assuming only a basic knowledge of C++ and mathematical finance, the reader is taught how to produce well-designed, structured, re-usable code via concrete examples. Each example is treated in depth, with the whys and wherefores of the chosen method of solution critically examined. Part of the book is devoted to designing re-usable components that are then put together to build a Monte Carlo pricer for path-dependent exotic options. Advanced topics treated include the factory pattern, the singleton pattern and the decorator pattern. Complete ANSI/ISO-compatible C++ source code is included on a CD for the reader to study and re-use and so develop the skills needed to implement financial models with object-oriented programs and become a working financial engineer. Please note the CD supplied with this book is platform-dependent and PC users will not be able to use the files without manual intervention in order to remove extraneous characters. Cambridge University Press apologises for this error. Machine readable files for all users can be obtained from www.markjoshi.com/design.

Computational Finance Using C and C#

Author : George Levy
Publisher : Academic Press
Page : 384 pages
File Size : 52,5 Mb
Release : 2008-06-13
Category : Business & Economics
ISBN : 0080878075

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Computational Finance Using C and C# by George Levy Pdf

Computational Finance Using C and C# raises computational finance to the next level using the languages of both standard C and C#. The inclusion of both these languages enables readers to match their use of the book to their firm’s internal software and code requirements. The book also provides derivatives pricing information for equity derivates (vanilla options, quantos, generic equity basket options); interest rate derivatives (FRAs, swaps, quantos); foreign exchange derivatives (FX forwards, FX options); and credit derivatives (credit default swaps, defaultable bonds, total return swaps). This book is organized into 8 chapters, beginning with an overview of financial derivatives followed by an introduction to stochastic processes. The discussion then shifts to generation of random variates; European options; single asset American options; multi-asset options; other financial derivatives; and C# portfolio pricing application. The text is supported by a multi-tier website which enables purchasers of the book to download free software, which includes executable files, configuration files, and results files. With these files the user can run the C# portfolio pricing application and change the portfolio composition and the attributes of the deals. This book will be of interest to financial engineers and analysts as well as numerical analysts in banking, insurance, and corporate finance. Illustrates the use of C# design patterns, including dictionaries, abstract classes, and .NET InteropServices.

Programming Languages and Systems in Computational Economics and Finance

Author : Soren Bo Nielsen
Publisher : Springer Science & Business Media
Page : 462 pages
File Size : 52,9 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461510499

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Programming Languages and Systems in Computational Economics and Finance by Soren Bo Nielsen Pdf

The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance.

Natural Computing in Computational Finance

Author : Anthony Brabazon,Michael O'Neill
Publisher : Springer
Page : 250 pages
File Size : 46,6 Mb
Release : 2009-01-30
Category : Business & Economics
ISBN : 9783540959748

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Natural Computing in Computational Finance by Anthony Brabazon,Michael O'Neill Pdf

Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems. This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.

Optimal Financial Decision Making under Uncertainty

Author : Giorgio Consigli,Daniel Kuhn,Paolo Brandimarte
Publisher : Springer
Page : 298 pages
File Size : 53,9 Mb
Release : 2016-10-17
Category : Business & Economics
ISBN : 9783319416137

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Optimal Financial Decision Making under Uncertainty by Giorgio Consigli,Daniel Kuhn,Paolo Brandimarte Pdf

The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management. The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows: Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas. Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applications The inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods. Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems. Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.

Modern Computational Finance

Author : Antoine Savine
Publisher : John Wiley & Sons
Page : 592 pages
File Size : 43,7 Mb
Release : 2018-11-20
Category : Mathematics
ISBN : 9781119539452

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Modern Computational Finance by Antoine Savine Pdf

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware. AAD recently became a centerpiece of modern financial systems and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters and PhD programs in finance. Danske Bank's wide scale implementation of AAD in its production and regulatory systems won the In-House System of the Year 2015 Risk award. The Modern Computational Finance books, written by three of the very people who designed Danske Bank's systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software. This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that gently lead readers from the theoretical foundations to the most delicate areas of an efficient implementation, such as memory management, parallel implementation and acceleration with expression templates. The book comes with professional source code in C++, including an efficient, up to date implementation of AAD and a generic parallel simulation library. Modern C++, high performance parallel programming and interfacing C++ with Excel are also covered. The book builds the code step-by-step, while the code illustrates the concepts and notions developed in the book.

Evolutionary Computation in Economics and Finance

Author : Shu-Heng Chen
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 46,5 Mb
Release : 2002-05-27
Category : Computers
ISBN : 3790814768

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Evolutionary Computation in Economics and Finance by Shu-Heng Chen Pdf

After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

Options, Futures, and Other Derivatives

Author : John C. Hull
Publisher : Pearson Higher Ed
Page : 864 pages
File Size : 47,7 Mb
Release : 2014-01-14
Category : Business & Economics
ISBN : 9780133457476

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Options, Futures, and Other Derivatives by John C. Hull Pdf

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate courses in business, economics, financial mathematics, and financial engineering; for advanced undergraduate courses with students who have good quantitative skills; and for practitioners involved in derivatives markets Practitioners refer to it as “the bible;” in the university and college marketplace it’s the best seller; and now it’s been revised and updated to cover the industry’s hottest topics and the most up-to-date material on new regulations. Options, Futures, and Other Derivatives by John C. Hull bridges the gap between theory and practice by providing a current look at the industry, a careful balance of mathematical sophistication, and an outstanding ancillary package that makes it accessible to a wide audience. Through its coverage of important topics such as the securitization and the credit crisis, the overnight indexed swap, the Black-Scholes-Merton formulas, and the way commodity prices are modeled and commodity derivatives valued, it helps students and practitioners alike keep up with the fast pace of change in today’s derivatives markets. This program provides a better teaching and learning experience—for you and your students. Here’s how: NEW! Available with a new version of DerivaGem software—including two Excel applications, the Options Calculator and the Applications Builder Bridges the gap between theory and practice—a best-selling college text, and considered “the bible” by practitioners, it provides the latest information in the industry Provides the right balance of mathematical sophistication—careful attention to mathematics and notation Offers outstanding ancillaries toround out the high quality of the teaching and learning package

Commodities

Author : M. A. H. Dempster,Ke Tang
Publisher : CRC Press
Page : 864 pages
File Size : 50,7 Mb
Release : 2022-12-09
Category : Business & Economics
ISBN : 9781000784046

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Commodities by M. A. H. Dempster,Ke Tang Pdf

Since a major source of income for many countries comes from exporting commodities, price discovery and information transmission between commodity futures markets are key issues for continued economic development. Commodities: Fundamental Theory of Futures, Forwards, and Derivatives Pricing, Second Edition covers the fundamental theory of and derivatives pricing for major commodity markets, as well as the interaction between commodity prices, the real economy, and other financial markets. After a thoroughly updated and extensive theoretical and practical introduction, this new edition of the book is divided into five parts – the fifth of which is entirely new material covering cutting-edge developments. Oil Products considers the structural changes in the demand and supply for hedging services that are increasingly determining the price of oil Other Commodities examines markets related to agricultural commodities, including natural gas, wine, soybeans, corn, gold, silver, copper, and other metals Commodity Prices and Financial Markets investigates the contemporary aspects of the financialization of commodities, including stocks, bonds, futures, currency markets, index products, and exchange traded funds Electricity Markets supplies an overview of the current and future modelling of electricity markets Contemporary Topics discuss rough volatility, order book trading, cryptocurrencies, text mining for price dynamics and flash crashes

Modeling Derivatives in C++

Author : Justin London
Publisher : John Wiley & Sons
Page : 922 pages
File Size : 41,9 Mb
Release : 2005-01-21
Category : Business & Economics
ISBN : 9780471681892

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Modeling Derivatives in C++ by Justin London Pdf

This book is the definitive and most comprehensive guide to modeling derivatives in C++ today. Providing readers with not only the theory and math behind the models, as well as the fundamental concepts of financial engineering, but also actual robust object-oriented C++ code, this is a practical introduction to the most important derivative models used in practice today, including equity (standard and exotics including barrier, lookback, and Asian) and fixed income (bonds, caps, swaptions, swaps, credit) derivatives. The book provides complete C++ implementations for many of the most important derivatives and interest rate pricing models used on Wall Street including Hull-White, BDT, CIR, HJM, and LIBOR Market Model. London illustrates the practical and efficient implementations of these models in real-world situations and discusses the mathematical underpinnings and derivation of the models in a detailed yet accessible manner illustrated by many examples with numerical data as well as real market data. A companion CD contains quantitative libraries, tools, applications, and resources that will be of value to those doing quantitative programming and analysis in C++. Filled with practical advice and helpful tools, Modeling Derivatives in C++ will help readers succeed in understanding and implementing C++ when modeling all types of derivatives.

Scientific and Technical Aerospace Reports

Author : Anonim
Publisher : Unknown
Page : 964 pages
File Size : 43,5 Mb
Release : 1988
Category : Aeronautics
ISBN : UIUC:30112075701612

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Scientific and Technical Aerospace Reports by Anonim Pdf

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.