Financial Modeling fourth edition

Financial Modeling  fourth edition
Author : Simon Benninga
Publisher : MIT Press
Total Pages : 1143
Release : 2014-04-18
ISBN 10 : 9780262027281
ISBN 13 : 0262027283
Language : EN, FR, DE, ES & NL

Financial Modeling fourth edition Book Description:

A substantially revised edition of a bestselling text combining explanation and implementation using Excel; for classroom use or as a reference for finance practitioners. Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the “cookbook” features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets. Sections on technical aspects of Excel and on the use of Visual Basic for Applications (VBA) round out the book to make Financial Modeling a complete guide for the financial modeler. The new edition of Financial Modeling includes a number of innovations. A new section explains the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation. A new chapter discusses term structure modeling, with special emphasis on the Nelson-Siegel model. The discussion of corporate valuation using pro forma models has been rounded out with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters. New print copies of this book include a card affixed to the inside back cover with a unique access code. Access codes are required to download Excel worksheets and solutions to end-of-chapter exercises. If you have a used copy of this book, you may purchase a digitally-delivered access code separately via the Supplemental Material link on this page. If you purchased an e-book, you may obtain a unique access code by emailing [email protected] or calling 617-253-2889 or 800-207-8354 (toll-free in the U.S. and Canada). Praise for earlier editions “Financial Modeling belongs on the desk of every finance professional. Its no-nonsense, hands-on approach makes it an indispensable tool.” —Hal R. Varian, Dean, School of Information Management and Systems, University of California, Berkeley “Financial Modeling is highly recommended to readers who are interested in an introduction to basic, traditional approaches to financial modeling and analysis, as well as to those who want to learn more about applying spreadsheet software to financial analysis." —Edward Weiss, Journal of Computational Intelligence in Finance “Benninga has a clear writing style and uses numerous illustrations, which make this book one of the best texts on using Excel for finance that I've seen.” —Ed McCarthy, Ticker Magazine


RELATED BOOKS:
Financial Modeling, fourth edition
Language: en
Pages: 1143
Authors: Simon Benninga
Categories: Business & Economics
Type: BOOK - Published: 2014-04-18 - Publisher: MIT Press

A substantially revised edition of a bestselling text combining explanation and implementation using Excel; for classroom use or as a reference for finance practitioners. Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the “cookbook” features and Excel
Financial Modeling
Language: en
Pages: 956
Authors: Joachim Häcker, Dietmar Ernst
Categories: Business & Economics
Type: BOOK - Published: 2017-12-11 - Publisher: Springer

This book provides a comprehensive introduction to modern financial modeling using Excel, VBA, standards of financial modeling and model review. It offers guidance on essential modeling concepts around the four core financial activities in the modern financial industry today: financial management; corporate finance; portfolio management and financial derivatives. Written in
Handbook of Quantitative Finance and Risk Management
Language: en
Pages: 1716
Authors: Cheng-Few Lee, John Lee
Categories: Business & Economics
Type: BOOK - Published: 2010-06-14 - Publisher: Springer Science & Business Media

Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over
Financial Modeling Under Non-Gaussian Distributions
Language: en
Pages: 541
Authors: Eric Jondeau, Ser-Huang Poon, Michael Rockinger
Categories: Mathematics
Type: BOOK - Published: 2007-04-05 - Publisher: Springer Science & Business Media

This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the
Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses
Language: en
Pages: 1041
Authors: Cheng-Few Lee, John Lee, Jow-Ran Chang, Tzu Tai
Categories: Business & Economics
Type: BOOK - Published: 2016-11-24 - Publisher: Springer

This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures. One studies and uses statistics to learn how