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Professional Financial Computing Using Excel and VBA

Professional Financial Computing Using Excel and VBA Author Donny C. F. Lai
ISBN-10 9781118179086
Release 2011-12-28
Pages 350
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"Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a "black-box" software application. The book opens the black-box and reveals the architecture of risk-modeling and financial engineering based on industry-standard stochastic models by utilizing Excel and VBA functionality to create a robust and practical modeling tool-kit. Financial engineering professionals who purchase this book will have a jumpstart advantage for their customized financial engineering and modeling needs." Dr. Cameron Wicentowich Vice President, Treasury Analytics Canadian Imperial Bank of Commerce (CIBC) "Spreadsheet modeling for finance has become a standard course in the curriculum of many Quantitative Finance programs since the Excel-based Visual Basic programming is now widely used in constructing optimal portfolios, pricing structured products and managing risks. Professional Financial Computing Using Excel and VBA is written by a unique team of finance, physics and computer academics and practitioners. It is a good reference for those who are studying for a Masters degree in Financial Engineering and Risk Management. It can also be useful for financial engineers to jump-start a project on designing structured products, modeling interest term structure or credit risks." Dr. Jin Zhang Director of Master of Finance Program and Associate Professor The University of Hong Kong "Excel has been one of the most powerful tools for financial planning and computing over the last few years. Most users utilize a fraction of its capabilities. One of the reasons is the limited availability of books that cover the advanced features of Excel for Finance. Professional Financial Computing Using Excel and VBA goes the extra mile and deals with the Excel tools many professionals call for. This book is a must for professionals or students dealing with financial engineering, financial risk management, computational finance or mathematical finance. I loved the way the authors covered the material using real life, hands-on examples." Dr. Isaac Gottlieb Temple University Author, Next Generation Excel: Modeling in Excel for Analysts and MBAs



Professional Financial Computing Using Excel and VBA

Professional Financial Computing Using Excel and VBA Author Donny C. F. Lai
ISBN-10 0470824395
Release 2010-06-15
Pages 352
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Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a "black-box" software application. The book opens the black-box and reveals the architecture of risk-modeling and financial engineering based on industry-standard stochastic models by utilizing Excel and VBA functionality to create a robust and practical modeling tool-kit. Financial engineering professionals who purchase this book will have a jumpstart advantage for their customized financial engineering and modeling needs. Dr. Cameron Wicentowich Vice President, Treasury Analytics Canadian Imperial Bank of Commerce (CIBC) Spreadsheet modeling for finance has become a standard course in the curriculum of many Quantitative Finance programs since the Excel-based Visual Basic programming is now widely used in constructing optimal portfolios, pricing structured products and managing risks. Professional Financial Computing Using Excel and VBA is written by a unique team of finance, physics and computer academics and practitioners. It is a good reference for those who are studying for a Masters degree in Financial Engineering and Risk Management. It can also be useful for financial engineers to jump-start a project on designing structured products, modeling interest term structure or credit risks. Dr. Jin Zhang Director of Master of Finance Program and Associate Professor The University of Hong Kong Excel has been one of the most powerful tools for financial planning and computing over the last few years. Most users utilize a fraction of its capabilities. One of the reasons is the limited availability of books that cover the advanced features of Excel for Finance. Professional Financial Computing Using Excel and VBA goes the extra mile and deals with the Excel tools many professionals call for. This book is a must for professionals or students dealing with financial engineering, financial risk management, computational finance or mathematical finance. I loved the way the authors covered the material using real life, hands-on examples. Dr. Isaac Gottlieb Temple University Author, Next Generation Excel: Modeling in Excel for Analysts and MBAs



Professional Financial Computing Using Excel and VBA

Professional Financial Computing Using Excel and VBA Author Donny C. F. Lai
ISBN-10 9781118179062
Release 2011-12-20
Pages 350
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Professional Financial Computing Using Excel and VBA has been writing in one form or another for most of life. You can find so many inspiration from Professional Financial Computing Using Excel and VBA also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Professional Financial Computing Using Excel and VBA book for free.



Advanced Modelling in Finance using Excel and VBA

Advanced Modelling in Finance using Excel and VBA Author Mary Jackson
ISBN-10 9780470061664
Release 2006-08-30
Pages 276
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This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s. The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios. Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.



Financial Analysis and Modeling Using Excel and VBA

Financial Analysis and Modeling Using Excel and VBA Author Chandan Sengupta
ISBN-10 9780470275603
Release 2009-11-09
Pages 793
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Provides a comprehensive guide for anyone who has to undertake financial analysis, or understand and implement financial models. Discusses a wide range of real-world financial problems and models using Excel 2007 and Visual Basic for Applications (VBA). Provides reference to earlier versions of Excel and VBA, and includes a CD-Rom with modelling tools and working versions of models discussed.



Option Pricing Models and Volatility Using Excel VBA

Option Pricing Models and Volatility Using Excel VBA Author Fabrice D. Rouah
ISBN-10 9781118429204
Release 2012-06-15
Pages 441
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This comprehensive guide offers traders, quants, and students the tools and techniques for using advanced models for pricing options. The accompanying website includes data files, such as options prices, stock prices, or index prices, as well as all of the codes needed to use the option and volatility models described in the book. Praise for Option Pricing Models & Volatility Using Excel-VBA "Excel is already a great pedagogical tool for teaching option valuation and risk management. But the VBA routines in this book elevate Excel to an industrial-strength financial engineering toolbox. I have no doubt that it will become hugely successful as a reference for option traders and risk managers." —Peter Christoffersen, Associate Professor of Finance, Desautels Faculty of Management, McGill University "This book is filled with methodology and techniques on how to implement option pricing and volatility models in VBA. The book takes an in-depth look into how to implement the Heston and Heston and Nandi models and includes an entire chapter on parameter estimation, but this is just the tip of the iceberg. Everyone interested in derivatives should have this book in their personal library." —Espen Gaarder Haug, option trader, philosopher, and author of Derivatives Models on Models "I am impressed. This is an important book because it is the first book to cover the modern generation of option models, including stochastic volatility and GARCH." —Steven L. Heston, Assistant Professor of Finance, R.H. Smith School of Business, University of Maryland



Credit Risk Modeling Using Excel and VBA

Credit Risk Modeling Using Excel and VBA Author Gunter Löeffler
ISBN-10 9780470660928
Release 2011-01-31
Pages 342
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This book provides practitioners and students with an intuitive, hands-on introduction to modern credit risk modelling. Every chapter starts with an explanation of the methodology and then the authors take the reader step by step through the implementation of the methods in Excel and VBA.



Financial Applications using Excel Add in Development in C C

Financial Applications using Excel Add in Development in C   C  Author Steve Dalton
ISBN-10 0470319046
Release 2007-04-30
Pages 584
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Financial Applications using Excel Add-in Development in C/C++ is a must-buy book for any serious Excel developer.Excel is the industry standard for financial modelling, providing a number of ways for users to extend the functionality of their own add-ins, including VBA and C/C++. This is the only complete how-to guide and reference book for the creation of high performance add-ins for Excel in C and C++ for users in the finance industry. Steve Dalton explains how to apply Excel add-ins to financial applications with many examples given throughout the book. It also covers the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++, and provides comprehensive code, workbooks and example projects on the accompanying CD-ROM. The impact of Excel 2007’s multi-threaded workbook calculations and large grids on add-in development are fully explored. Financial Applications using Excel Add-in Development in C/C++ features: Extensive example codes in VBA, C and C++, explaining all the ways in which a developer can achieve their objectives. Example projects that demonstrate, from start to finish, the potential of Excel when powerful add-ins can be easily developed. Develops the readers understanding of the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++. A CD-ROM with several thousand lines of example code, numerous workbooks, and a number of complete example projects.



Financial Simulation Modeling in Excel

Financial Simulation Modeling in Excel Author Keith A. Allman
ISBN-10 9781118137222
Release 2011-09-02
Pages 216
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"I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver." — David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors. Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner. Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in Excel A companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progress Keith Allman is the author of other successful modeling books, including Corporate Valuation Modeling and Modeling Structured Finance Cash Flows with Microsoft Excel Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.



Principles of Financial Modelling

Principles of Financial Modelling Author Michael Rees
ISBN-10 9781118904008
Release 2018-04-10
Pages 544
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The comprehensive, broadly-applicable, real-world guide to financial modelling Principles of Financial Modelling – Model Design and Best Practices Using Excel and VBAcovers the full spectrum of financial modelling tools and techniques in order to provide practical skills that are grounded in real-world applications. Based on rigorously-tested materials created for consulting projects and for training courses, this book demonstrates how to plan, design and build financial models that are flexible, robust, transparent, and highly applicable to a wide range of planning, forecasting and decision-support contexts. This book integrates theory and practice to provide a high-value resource for anyone wanting to gain a practical understanding of this complex and nuanced topic. Highlights of its content include extensive coverage of: Model design and best practices, including the optimisation of data structures and layout, maximising transparency, balancing complexity with flexibility, dealing with circularity, model audit and error-checking Sensitivity and scenario analysis, simulation, and optimisation Data manipulation and analysis The use and choice of Excel functions and functionality, including advanced functions and those from all categories, as well as of VBA and its key areas of application within financial modelling The companion website provides approximately 235 Excel files (screen-clips of most of which are shown in the text), which demonstrate key principles in modelling, as well as providing many examples of the use of Excel functions and VBA macros. These facilitate learning and have a strong emphasis on practical solutions and direct real-world application. For practical instruction, robust technique and clear presentation, Principles of Financial Modelling is the premier guide to real-world financial modelling from the ground up. It provides clear instruction applicable across sectors, settings and countries, and is presented in a well-structured and highly-developed format that is accessible to people with different backgrounds.



Financial Modeling

Financial Modeling Author Simon Benninga
ISBN-10 9780262027281
Release 2014-04-18
Pages 1144
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A substantially revised edition of a bestselling text combining explanation and implementation using Excel; for classroom use or as a reference for finance practitioners.



Building Financial Models with Microsoft Excel

Building Financial Models with Microsoft Excel Author K. Scott Proctor
ISBN-10 0470561459
Release 2009-11-25
Pages 352
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Building Financial Models with Microsoft Excel has been writing in one form or another for most of life. You can find so many inspiration from Building Financial Models with Microsoft Excel also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Building Financial Models with Microsoft Excel book for free.



Financial Modeling Using Excel and VBA

Financial Modeling Using Excel and VBA Author Chandan Sengupta
ISBN-10 0471267686
Release 2004-02-26
Pages 657
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Comprehensive instruction on developing real–world financial models This book, designed for self–study, classroom use, and reference, presents a com–prehensive approach to developing simple to sophisticated financial models in all major areas of finance. The approach is based on the author′s 20 years of experience of developing such models in the business world and teaching a popular MBA class in financial modeling. The book assumes only basic knowledge of Excel and teaches all advanced features of Excel and VBA from scratch using a unique simple method. A companion CD includes all working versions of all the models presented in the book and additional useful reference material. Chandan Sengupta (White Plains, NY) teaches finance in the MBA program at Fordham University′s Graduate School of Business. Formerly, he was vice president of the Chase Manhattan Bank for eight years and senior financial advisor for Mobil Corporation for 10 years. He is also the author of The Only Proven Road to Investment Success (0–471–44307–7).



Intermediate Structured Finance Modeling

Intermediate Structured Finance Modeling Author William Preinitz
ISBN-10 9780470928783
Release 2010-12-28
Pages 1008
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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.



Quantitative Finance

Quantitative Finance Author Matt Davison
ISBN-10 9781498782661
Release 2016-02-24
Pages 532
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Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models. Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page.



Financial Analysis with Microsoft Excel 2016 8E

Financial Analysis with Microsoft Excel 2016  8E Author Timothy R. Mayes
ISBN-10 9781337515528
Release 2017-06-08
Pages 50
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Taking your spreadsheet skills to the next level, Mayes/Shank's FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2016, 8E, equips you with a solid foundation in corporate finance while helping you master the tools professionals use every day. It delivers thorough coverage of financial statements, cash budgets, time series forecasting, the Security Market Security Line, pro forma financial statements, cost of capital, VBA programming, Pivot Tables, and Get & Transform tools (formerly known as Power Query). With its unique self-directed learning approach, this reader-friendly book is an ideal resource for independent learning and a valuable reference tool. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Business Risk and Simulation Modelling in Practice

Business Risk and Simulation Modelling in Practice Author Michael Rees
ISBN-10 9781118904039
Release 2015-08-03
Pages 464
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The complete guide to the principles and practice of risk quantification for business applications. The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in–depth, and practical guide that aims to help business risk managers, modelling analysts and general management to understand, conduct and use quantitative risk assessment and uncertainty modelling in their own situations. Key content areas include: Detailed descriptions of risk assessment processes, their objectives and uses, possible approaches to risk quantification, and their associated decision-benefits and organisational challenges. Principles and techniques in the design of risk models, including the similarities and differences with traditional financial models, and the enhancements that risk modelling can provide. In depth coverage of the principles and concepts in simulation methods, the statistical measurement of risk, the use and selection of probability distributions, the creation of dependency relationships, the alignment of risk modelling activities with general risk assessment processes, and a range of Excel modelling techniques. The implementation of simulation techniques using both Excel/VBA macros and the @RISK Excel add-in. Each platform may be appropriate depending on the context, whereas the core modelling concepts and risk assessment contexts are largely the same in each case. Some additional features and key benefits of using @RISK are also covered. Business Risk and Simulation Modelling in Practice reflects the author′s many years in training and consultancy in these areas. It provides clear and complete guidance, enhanced with an expert perspective. It uses approximately one hundred practical and real-life models to demonstrate all key concepts and techniques; these are accessible on the companion website.