Description
Item specifics
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Condition
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Like NewA book that looks new but has been read. Cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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Seller Notes
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“LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.”
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ISBN
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9780262046428
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Book Title
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Financial Modeling, Fifth Edition
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Publisher
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MIT Press
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Item Length
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9.3 in
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Publication Year
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2022
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Format
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Hardcover
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Language
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English
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Illustrator
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Yes
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Item Height
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1.7 in
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Genre
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Business & Economics
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Topic
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Finance / Financial Engineering, Finance / General, Corporate Finance / General
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Item Weight
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57.1 Oz
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Item Width
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7.4 in
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Number of Pages
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1048 Pages
Financial Modeling, fifth edition, Benninga, Simon,Mofkadi, Tal, Excellent Book
About this product
Product Identifiers
Publisher
MIT Press
ISBN-10
0262046423
ISBN-13
9780262046428
eBay Product ID (ePID)
25050015088
Product Key Features
Book Title
Financial Modeling, Fifth Edition
Number of Pages
1048 Pages
Language
English
Publication Year
2022
Topic
Finance / Financial Engineering, Finance / General, Corporate Finance / General
Illustrator
Yes
Genre
Business & Economics
Format
Hardcover
Dimensions
Item Height
1.7 in
Item Weight
57.1 Oz
Item Length
9.3 in
Item Width
7.4 in
Additional Product Features
Intended Audience
Trade
LCCN
2021-001029
Dewey Edition
23
Dewey Decimal
658.150285536
Table Of Content
Preface and Acknowledgments xix Before All Else 1 I Corporate Finance 13 1 Basic Financial Analysis 15 2 Corporate Valuation Overview 53 3 Calculating the Weighted Average Cost of Capital (WACC) 73 4 Pro Forma Analysis and Valuation Based on the Discounted Cash Flow Approach 111 5 Building a Pro Forma Model: The Case of Merck 145 6 Financial Analysis of Leasing 161 II Bonds 177 7 Bond’s Duration 179 8 Modeling the Term Structure 207 9 Calculating Default-Adjusted Expected Bond Returns 231 III Portfolio Theory 253 10 Portfolio Models–Introduction 255 11 Efficient Portfolios and the Efficient Frontier 287 12 Calculating the Variance-Covariance Matrix 337 13 Estimating Betas and the Security Market Line 357 14 Event Studies 377 15 The Black-Litterman Approach to Portfolio Optimization 405 IV Options 435 16 Introduction to Options 437 17 The Binomial Option Pricing Model 459 18 The Black-Scholes Model 499 19 Option Greeks 537 20 Real Options 569 V Monte Carlo Methods 591 21 Generating and Using Random Numbers 593 22 An Introduction to Monte Carlo Methods 639 23 Simulating Stock Prices 661 24 Monte Carlo Simulations for Investments 689 25 Value at Risk (VaR) 715 26 Replicating Options and Option Strategies 733 27 Using Monte Carlo Methods for Option Pricing 765 VI Technical 829 28 Data Tables 831 29 Matrices 849 30 Excel Functions 859 31 Array Functions 905 32 Some Excel Hints 919 33 Essentials of R Programming 951 Selected References 963 Index 975
Synopsis
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.
LC Classification Number
HG173.B46 2021
Price : 60.00
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