Advanced Modelling In Finance Using Excel And Vba

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Advanced Modelling in Finance using Excel and VBA

Author : Mary Jackson,Mike Staunton
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 54,6 Mb
Release : 2006-08-30
Category : Business & Economics
ISBN : 9780470061664

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Advanced Modelling in Finance using Excel and VBA by Mary Jackson,Mike Staunton Pdf

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

Author : Chandan Sengupta
Publisher : John Wiley & Sons
Page : 822 pages
File Size : 41,9 Mb
Release : 2009-11-09
Category : Business & Economics
ISBN : 9780470275603

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Financial Analysis and Modeling Using Excel and VBA by Chandan Sengupta Pdf

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.

Principles of Financial Modelling

Author : Michael Rees
Publisher : John Wiley & Sons
Page : 544 pages
File Size : 47,7 Mb
Release : 2018-03-19
Category : Business & Economics
ISBN : 9781118904008

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Principles of Financial Modelling by Michael Rees Pdf

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.

Professional Financial Computing Using Excel and VBA

Author : Donny C. F. Lai,Humphrey K. K. Tung,Michael C. S. Wong
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 48,9 Mb
Release : 2011-12-28
Category : Business & Economics
ISBN : 9781118179086

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Professional Financial Computing Using Excel and VBA by Donny C. F. Lai,Humphrey K. K. Tung,Michael C. S. Wong Pdf

"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

Financial Modeling Using Excel and VBA

Author : Chandan Sengupta
Publisher : John Wiley & Sons
Page : 680 pages
File Size : 51,5 Mb
Release : 2004-02-26
Category : Business & Economics
ISBN : 0471267686

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Financial Modeling Using Excel and VBA by Chandan Sengupta Pdf

"Reviews all the necessary financial theory and concepts, and walks you through a wide range of real-world financial models" - cover.

Intermediate Structured Finance Modeling

Author : William Preinitz,Matthew Niedermaier
Publisher : John Wiley & Sons
Page : 1032 pages
File Size : 52,6 Mb
Release : 2010-12-28
Category : Business & Economics
ISBN : 9780470928783

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Intermediate Structured Finance Modeling by William Preinitz,Matthew Niedermaier Pdf

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.

Credit Risk Modeling using Excel and VBA

Author : Gunter Löeffler,Peter N. Posch
Publisher : John Wiley & Sons
Page : 280 pages
File Size : 49,6 Mb
Release : 2007-04-30
Category : Business & Economics
ISBN : 9780470510742

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Credit Risk Modeling using Excel and VBA by Gunter Löeffler,Peter N. Posch Pdf

In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques, in this case credit. Credit Risk Modeling using Excel and VBA with DVD provides practitioners with a hands on introduction to credit risk modeling. Instead of just presenting analytical methods it shows how to implement them using Excel and VBA, in addition to a detailed description in the text a DVD guides readers step by step through the implementation. The authors begin by showing how to use option theoretic and statistical models to estimate a borrowers default risk. The second half of the book is devoted to credit portfolio risk. The authors guide readers through the implementation of a credit risk model, show how portfolio models can be validated or used to access structured credit products like CDO’s. The final chapters address modeling issues associated with the new Basel Accord.

Option Pricing Models and Volatility Using Excel-VBA

Author : Fabrice D. Rouah,Gregory Vainberg
Publisher : John Wiley & Sons
Page : 456 pages
File Size : 52,6 Mb
Release : 2012-06-15
Category : Business & Economics
ISBN : 9781118429204

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Option Pricing Models and Volatility Using Excel-VBA by Fabrice D. Rouah,Gregory Vainberg Pdf

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

Financial Modelling in Practice

Author : Michael Rees
Publisher : Unknown
Page : 270 pages
File Size : 49,5 Mb
Release : 2008
Category : Corporations
ISBN : 1118374657

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Financial Modelling in Practice by Michael Rees Pdf

Financial Modelling in Practice: A Concise Guide for Intermediate and Advanced Level is a practical, comprehensive and in-depth guide to financial modelling designed to cover the modelling issues that are relevant to facilitate the construction of robust and readily understandable models. --From publisher's description.

Financial Analysis and Modeling Using Excel and VBA

Author : Chandan Sengupta
Publisher : Unknown
Page : 793 pages
File Size : 52,9 Mb
Release : 2009
Category : Finance
ISBN : OCLC:1100908469

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Financial Analysis and Modeling Using Excel and VBA by Chandan Sengupta Pdf

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 CD-ROM 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.

Using Excel for Business and Financial Modelling

Author : Danielle Stein Fairhurst
Publisher : John Wiley & Sons
Page : 424 pages
File Size : 48,9 Mb
Release : 2019-03-25
Category : Business & Economics
ISBN : 9781119520375

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Using Excel for Business and Financial Modelling by Danielle Stein Fairhurst Pdf

A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling.

Financial Modeling

Author : Simon Benninga,Benjamin Czaczkes
Publisher : MIT Press
Page : 648 pages
File Size : 41,7 Mb
Release : 2000
Category : Business & Economics
ISBN : 0262024829

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Financial Modeling by Simon Benninga,Benjamin Czaczkes Pdf

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.

Financial Modeling for Decision Making

Author : Ron Messer
Publisher : Emerald Group Publishing
Page : 360 pages
File Size : 52,6 Mb
Release : 2020-09-01
Category : Business & Economics
ISBN : 9781789734133

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Financial Modeling for Decision Making by Ron Messer Pdf

This book provides accounting students in post-secondary institutions with an advanced level understanding of how to use MS-Excel to make business decisions. It reflects real-life applications of this important analytical tool, which has become the accepted industry standard for spreadsheet software.

Credit Risk Modeling using Excel and VBA

Author : Gunter Löeffler,Peter N. Posch
Publisher : Wiley
Page : 280 pages
File Size : 49,6 Mb
Release : 2007-06-05
Category : Business & Economics
ISBN : 0470031573

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Credit Risk Modeling using Excel and VBA by Gunter Löeffler,Peter N. Posch Pdf

In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques, in this case credit. Credit Risk Modeling using Excel and VBA with DVD provides practitioners with a hands on introduction to credit risk modeling. Instead of just presenting analytical methods it shows how to implement them using Excel and VBA, in addition to a detailed description in the text a DVD guides readers step by step through the implementation. The authors begin by showing how to use option theoretic and statistical models to estimate a borrowers default risk. The second half of the book is devoted to credit portfolio risk. The authors guide readers through the implementation of a credit risk model, show how portfolio models can be validated or used to access structured credit products like CDO’s. The final chapters address modeling issues associated with the new Basel Accord.

Financial Modeling, fifth edition

Author : Simon Benninga,Tal Mofkadi
Publisher : MIT Press
Page : 1049 pages
File Size : 45,8 Mb
Release : 2022-02-01
Category : Business & Economics
ISBN : 9780262046428

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Financial Modeling, fifth edition by Simon Benninga,Tal Mofkadi Pdf

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.