Financial modeling
Material type: TextPublication details: The MIT Press Cambridge 2014Edition: 5thDescription: xxvi, 1013 pISBN:- 9780262046428
- 332.015118 BEN
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Book | Indian Institute of Management LRC General Stacks | Finance & Accounting | 332.015118 BEN (Browse shelf(Opens below)) | 1 | Available | 007054 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Finance & Accounting Close shelf browser (Hides shelf browser)
332.0151 TRE Introductory course on financial mathematics | 332.01511352 CHE Detecting regime change in computational finance: | 332.015118 BEL Quantitative finance for dummies | 332.015118 BEN Financial modeling | 332.015118 JAC Advanced modelling in finance using excel and VBA | 332.015195 LIM Financial valuation and econometrics | 332.015195 LIN Financial econometrics: |
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.
(https://mitpress.mit.edu/9780262046428/financial-modeling/)
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