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Author: Kevin Lano
Publisher: Springer
ISBN: 3030140504
Category : Computers
Languages : en
Pages : 202
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Book Description
In this textbook the authors introduce the important concepts of the financial software domain, and motivate the use of an agile software engineering approach for the development of financial software. They describe the role of software in defining financial models and in computing results from these models. Practical examples from bond pricing, yield curve estimation, share price analysis and valuation of derivative securities are given to illustrate the process of financial software engineering. Financial Software Engineering also includes a number of case studies based on typical financial engineering problems: *Internal rate of return calculation for bonds * Macaulay duration calculation for bonds * Bootstrapping of interest rates * Estimation of share price volatility * Technical analysis of share prices * Re-engineering Matlab to C# * Yield curve estimation * Derivative security pricing * Risk analysis of CDOs The book is suitable for undergraduate and postgraduate study, and for practitioners who wish to extend their knowledge of software engineering techniques for financial applications
Author: Kevin Lano
Publisher: Springer
ISBN: 3030140504
Category : Computers
Languages : en
Pages : 202
Get Book Here
Book Description
In this textbook the authors introduce the important concepts of the financial software domain, and motivate the use of an agile software engineering approach for the development of financial software. They describe the role of software in defining financial models and in computing results from these models. Practical examples from bond pricing, yield curve estimation, share price analysis and valuation of derivative securities are given to illustrate the process of financial software engineering. Financial Software Engineering also includes a number of case studies based on typical financial engineering problems: *Internal rate of return calculation for bonds * Macaulay duration calculation for bonds * Bootstrapping of interest rates * Estimation of share price volatility * Technical analysis of share prices * Re-engineering Matlab to C# * Yield curve estimation * Derivative security pricing * Risk analysis of CDOs The book is suitable for undergraduate and postgraduate study, and for practitioners who wish to extend their knowledge of software engineering techniques for financial applications
Author: Keith Cuthbertson
Publisher: John Wiley & Sons
ISBN: 0471495840
Category : Business & Economics
Languages : en
Pages : 802
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Book Description
This text provides a thorough treatment of futures, 'plain vanilla' options and swaps as well as the use of exotic derivatives and interest rate options for speculation and hedging. Pricing of options using numerical methods such as lattices (BOPM), Mone Carlo simulation and finite difference methods, in additon to solutions using continuous time mathematics, are also covered. Real options theory and its use in investment appraisal and in valuing internet and biotechnology companies provide cutting edge practical applications. Practical risk management issues are examined in depth. Alternative models for calculating Value at Risk (market risk) and credit risk provide the throretical basis for a practical and timely overview of these areas of regulatory policy. This book is designed for courses in derivatives and risk management taken by specialist MBA, MSc Finance students or final year undergraduates, either as a stand-alone text or as a follow-on to Investments: Spot and Derivatives Markets by the same authors. The authors adopt a real-world emphasis throughout, and include features such as: * topic boxes, worked examples and learning objectives * Financial Times and Wall Street Journal newspaper extracts and analysis of real world cases * supporting web site including Lecturer's Resource Pack and Student Centre with interactive Excel and GAUSS software
Author: Philip Barker
Publisher: Springer Science & Business Media
ISBN: 1846287413
Category : Computers
Languages : en
Pages : 562
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Book Description
This book describes the principles of model building in financial engineering. It explains those models as designs and working implementations for Java-based applications. The book provides software professionals with an accessible source of numerical methods or ready-to-use code for use in business applications. It is the first book to cover the topic of Java implementations for finance/investment applications and is written specifically to be accessible to software practitioners without prior accountancy/finance training. The book develops a series of packaged classes explained and designed to allow the financial engineer complete flexibility.
Author: Daniel J. Duffy
Publisher: John Wiley & Sons
ISBN: 1118856465
Category : Business & Economics
Languages : en
Pages : 405
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Book Description
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)
Author: Titus Winters
Publisher: O'Reilly Media
ISBN: 1492082767
Category : Computers
Languages : en
Pages : 602
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Book Description
Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worldâ??s leading practitioners construct and maintain software. This book covers Googleâ??s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. Youâ??ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions
Author: Capers Jones
Publisher: Addison-Wesley
ISBN: 0133365891
Category : Computers
Languages : en
Pages : 488
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Book Description
“Capers Jones has accumulated the most comprehensive data on every aspect of software engineering, and has performed the most scientific analysis on this data. Now, Capers performs yet another invaluable service to our industry, by documenting, for the first time, its long and fascinating history. Capers’ new book is a must-read for every software engineering student and information technology professional.” — From the Foreword by Tony Salvaggio, CEO and president, Computer Aid, Inc. Software engineering is one of the world’s most exciting and important fields. Now, pioneering practitioner Capers Jones has written the definitive history of this world-changing industry. Drawing on several decades as a leading researcher and innovator, he illuminates the field’s broad sweep of progress and its many eras of invention. He assesses the immense impact of software engineering on society, and previews its even more remarkable future. Decade by decade, Jones examines trends, companies, winners, losers, new technologies, productivity/quality issues, methods, tools, languages, risks, and more. He reviews key inventions, estimates industry growth, and addresses “mysteries” such as why programming languages gain and lose popularity. Inspired by Paul Starr’s Pulitzer Prize–winning The Social Transformation of American Medicine, Jones’ new book is a tour de force—and compelling reading for everyone who wants to understand how software became what it is today. COVERAGE INCLUDES • The human need to compute: from ancient times to the modern era • Foundations of computing: Alan Turing, Konrad Zuse, and World War II • Big business, big defense, big systems: IBM, mainframes, and COBOL • A concise history of minicomputers and microcomputers: the birth of Apple and Microsoft • The PC era: DOS, Windows, and the rise of commercial software • Innovations in writing and managing code: structured development, objects, agile, and more • The birth and explosion of the Internet and the World Wide Web • The growing challenges of legacy system maintenance and support • Emerging innovations, from wearables to intelligent agents to quantum computing • Cybercrime, cyberwarfare, and large-scale software failure
Author: David Farley
Publisher: Addison-Wesley Professional
ISBN: 0137314868
Category : Computers
Languages : en
Pages : 479
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Book Description
Improve Your Creativity, Effectiveness, and Ultimately, Your Code In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: learning and exploration and managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success. Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment. Clarify what you're trying to accomplish Choose your tools based on sensible criteria Organize work and systems to facilitate continuing incremental progress Evaluate your progress toward thriving systems, not just more "legacy code" Gain more value from experimentation and empiricism Stay in control as systems grow more complex Achieve rigor without too much rigidity Learn from history and experience Distinguish "good" new software development ideas from "bad" ones Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: David Ruppert
Publisher: Springer
ISBN: 1493926144
Category : Business & Economics
Languages : en
Pages : 736
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Book Description
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.
Author: Andrew Kumiega
Publisher: Academic Press
ISBN: 0080559913
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
The financial markets industry is at the same crossroads as the automotive industry in the late 1970s. Margins are collapsing and customization is rapidly increasing. The automotive industry turned to quality and its no coincidence that in the money management industry many of the spectacular failures have been due largely to problems in quality control. The financial industry in on the verge of a quality revolution. New and old firms alike are creating new investment vehicles and new strategies that are radically changing the nature of the industry. To compete, mutual funds, hedge fund industries, banks and proprietary trading firms are being forced to quicklyy research, test and implement trade selection and execution systems. And, just as in the early stages of factory automation, quality suffers and leads to defects. Many financial firms fall short of quality, lacking processes and methodologies for proper development and evaluation of trading and investment systems. Authors Kumiega and Van Vliet present a new step-by-step methodology for such development. Their methodology (called K - Presents a robust process engineering framework for developing and evaluating trading and investment systems - Best practices along the step-by-step process will mitigate project risk, model risk, and ensure data quality - Includes a quality model for backtesting and managing market risk of working systems
Author: David S. Rose
Publisher: John Wiley & Sons
ISBN: 111916379X
Category : Business & Economics
Languages : en
Pages : 325
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Book Description
25 Steps to Found and Scale a High-Growth Business The Startup Checklist is the entrepreneur's essential companion. While most entrepreneurship books focus on strategy, this invaluable guide provides the concrete steps that will get your new business off to a strong start. You'll learn the ins and outs of startup execution, management, legal issues, and practical processes throughout the launch and growth phases, and how to avoid the critical missteps that threaten the foundation of your business. Instead of simply referring you to experts, this discussion shows you exactly which experts you need, what exactly you need them to do, and which tools you will use to support them—and you'll gain enough insight to ask smart questions that help you get your money's worth. If you're ready to do big things, this book has you covered from the first business card to the eventual exit. Over two thirds of startups are built on creaky foundations, and over two thirds of startup costs go directly toward cleaning up legal and practical problems caused by an incomplete or improper start. This book helps you sidestep the messy and expensive clean up process by giving you the specific actions you need to take right from the very beginning. Understand the critical intricacies of legally incorporating and running a startup Learn which experts you need, and what exactly you need from them Make more intelligent decisions independent of your advisors Avoid the challenges that threaten to derail great young companies The typical American startup costs over $30,000 and requires working with over two dozen professionals and service providers before it even opens for business—and the process is so complex that few founders do it correctly. Their startups errors often go unnoticed until the founder tries to seek outside capital, at which point they can cost thousands of dollars to fix. . . or even completely derail an investment. The Startup Checklist helps you avoid these problems and lay a strong foundation, so you can focus on building your business.
