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Financial Modeling Using C++

Financial Modeling Using C++
Author: Chandan Sengupta
Publisher: John Wiley & Sons
Total Pages: 419
Release: 2007-10-05
Genre: Business & Economics
ISBN: 0471789089
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A detailed look at developing real-world financial models using C++ This book, designed for self-study, reference, and classroom use, outlines a comprehensive approach to creating both simple and advanced financial models using C++. Author and modeling expert Chandan Sengupta covers programming, the C++ language, and financial modeling from the ground up-assuming no prior knowledge in these areas-and shows through numerous examples how to combine these skills with financial theory and mathematics to develop practical financial models. Since C++ is the computer language used most often to develop large-scale financial models and systems, readers will find this work-which includes a CD-ROM containing the models and codes from the book-an essential asset in their current modeling endeavors. Chandan Sengupta (White Plains, NY) teaches finance in the MBA program at the Fordham University Graduate School of Business. He is also the author of Financial Modeling Using Excel and VBA (0-471-26768-6).

Financial Modeling in Excel For Dummies

Financial Modeling in Excel For Dummies
Author: Danielle Stein Fairhurst
Publisher: John Wiley & Sons
Total Pages: 339
Release: 2017-04-11
Genre: Business & Economics
ISBN: 111935756X
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Make informed business decisions with the beginner's guide to financial modeling using Microsoft Excel Financial Modeling in Excel For Dummies is your comprehensive guide to learning how to create informative, enlightening financial models today. Not a math whiz or an Excel power-user? No problem! All you need is a basic understanding of Excel to start building simple models with practical hands-on exercises and before you know it, you'll be modeling your way to optimized profits for your business in no time. Excel is powerful, user-friendly, and is most likely already installed on your computer—which is why it has so readily become the most popular financial modeling software. This book shows you how to harness Excel's capabilities to determine profitability, develop budgetary projections, model depreciation, project costs, value assets and more. You'll learn the fundamental best practices and know-how of financial modeling, and how to put them to work for your business and your clients. You'll learn the tools and techniques that bring insight out of the numbers, and make better business decisions based on quantitative evidence. You'll discover that financial modeling is an invaluable resource for your business, and you'll wonder why you've waited this long to learn how! Companies around the world use financial modeling for decision making, to steer strategy, and to develop solutions. This book walks you through the process with clear, expert guidance that assumes little prior knowledge. Learn the six crucial rules to follow when building a successful financial model Discover how to review and edit an inherited financial model and align it with your business and financial strategy Solve client problems, identify market projections, and develop business strategies based on scenario analysis Create valuable customized templates models that can become a source of competitive advantage From multinational corporations to the mom-and-pop corner store, there isn't a business around that wouldn't benefit from financial modeling. No need to buy expensive specialized software—the tools you need are right there in Excel. Financial Modeling in Excel For Dummies gets you up to speed quickly so you can start reaping the benefits today!

Financial Modelling in Python

Financial Modelling in Python
Author: Shayne Fletcher
Publisher: John Wiley & Sons
Total Pages: 244
Release: 2010-10-28
Genre: Business & Economics
ISBN: 0470747897
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"Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims." –David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks' loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel.

Financial Modeling Using C++ (+ CD)

Financial Modeling Using C++ (+ CD)
Author: Chandan Sengupta
Publisher:
Total Pages: 577
Release: 2007-10-05
Genre: Business & Economics
ISBN: 9780470167472
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Financial Modeling, fifth edition

Financial Modeling, fifth edition
Author: Simon Benninga
Publisher: MIT Press
Total Pages: 1049
Release: 2022-02-01
Genre: Business & Economics
ISBN: 0262046423
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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.

Financial Modeling Using Excel and VBA

Financial Modeling Using Excel and VBA
Author: Chandan Sengupta
Publisher: John Wiley & Sons
Total Pages: 680
Release: 2004-02-26
Genre: Business & Economics
ISBN: 9780471267683
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"Reviews all the necessary financial theory and concepts, and walks you through a wide range of real-world financial models" - cover.

Financial Analysis and Modeling Using Excel and VBA

Financial Analysis and Modeling Using Excel and VBA
Author: Chandan Sengupta
Publisher: John Wiley & Sons
Total Pages: 822
Release: 2009-11-09
Genre: Business & Economics
ISBN: 047027560X
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An updated look at the theory and practice of financial analysis and modeling Financial Analysis and Modeling Using Excel and VBA, Second Edition presents a comprehensive approach to analyzing financial problems and developing simple to sophisticated financial models in all major areas of finance using Excel 2007 and VBA (as well as earlier versions of both). This expanded and fully updated guide reviews all the necessary financial theory and concepts, and walks you through a wide range of real-world financial problems and models that you can learn from, use for practice, and easily adapt for work and classroom use. A companion website includes several useful modeling tools and fully working versions of all the models discussed in the book. Teaches financial analysis and modeling and illustrates advanced features of Excel and VBA, using a learn-by-doing approach Contains detailed coverage of the powerful features of Excel 2007 essential for financial analysis and modeling, such as the Ribbon interface, PivotTables, data analysis, and statistical analysis Other titles by Sengupta: Financial Modeling Using C++ and The Only Proven Road to Investment Success Designed for self-study, classroom use, and reference This comprehensive guide is an essential read for anyone who has to perform financial analysis or understand and implement financial models.

Financial Modeling

Financial Modeling
Author: Simon Benninga
Publisher: MIT Press
Total Pages: 648
Release: 2000
Genre: Business & Economics
ISBN: 9780262024822
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Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.

Modeling Financial Markets

Modeling Financial Markets
Author: Benjamin Van Vliet
Publisher: McGraw Hill Professional
Total Pages: 304
Release: 2004-01-22
Genre: Business & Economics
ISBN: 007144288X
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Limitations in today's software packages for financial modeling system development can threaten the viability of any system--not to mention the firm using that system. Modeling Financial Markets is the first book to take financial professionals beyond those limitations to introduce safer, more sophisticated modeling methods. It contains dozens of techniques for financial modeling in code that minimize or avoid current software deficiencies, and addresses the crucial crossover stage in which prototypes are converted to fully coded models.

Modeling Derivatives in C++

Modeling Derivatives in C++
Author: Justin London
Publisher: John Wiley & Sons
Total Pages: 922
Release: 2005-01-21
Genre: Business & Economics
ISBN: 047168189X
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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.