Financial Modeling, Fifth Edition by Simon Benninga

Financial Modeling, Fifth Edition

Kindle Edition

Simon Benninga, Tal Mofkadi

MIT Press · Ebook · February 1, 2022

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.

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Who it’s for
Explore financial models through explanations and implementations in Excel, R, and Python.
Genres
Financial Engineering, Options, Portfolio Management
Published
MIT Press, February 1, 2022

About this book

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.

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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.

Finance Models

Explore financial models through explanations and implementations in Excel, R, and Python.

Come here for

  • Models in corporate finance, bonds, portfolios, and options
  • Monte Carlo methods implemented in finance

Expect

  • Revised material on valuation, options Greeks, and value at risk
  • Technical topics include Excel and R issues

Where it sits

Financial Engineering80%
Portfolio Management52%
Options36%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Corporate Finance
  • Finance
  • Financial Engineering
Authors
Simon Benninga, Tal Mofkadi
Publisher
MIT Press
Published
February 1, 2022
Format
Ebook
Reading lane
Corporate Finance