9780133479522-0133479528-Valuation: The Art and Science of Corporate Investment Decisions (The Pearson Series in Finance)

Valuation: The Art and Science of Corporate Investment Decisions (The Pearson Series in Finance)

ISBN-13: 9780133479522
ISBN-10: 0133479528
Edition: 3
Author: Sheridan Titman
Publication date: 2014
Publisher: Pearson
Format: Hardcover 560 pages
Category: Finance
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Book details

ISBN-13: 9780133479522
ISBN-10: 0133479528
Edition: 3
Author: Sheridan Titman
Publication date: 2014
Publisher: Pearson
Format: Hardcover 560 pages
Category: Finance

Summary

Valuation: The Art and Science of Corporate Investment Decisions (The Pearson Series in Finance) (ISBN-13: 9780133479522 and ISBN-10: 0133479528), written by authors Sheridan Titman, was published by Pearson in 2014. With an overall rating of 3.9 stars, it's a notable title among other Finance books. You can easily purchase or rent Valuation: The Art and Science of Corporate Investment Decisions (The Pearson Series in Finance) (Hardcover) from BooksRun, along with many other new and used Finance books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $26.22.

Description

For upper-division undergraduate and MBA students as well as business professionals.

A Holistic Approach to Project and Enterprise Valuation

The Art and Science of Corporate Investment Decisions provides an up-to-date, integrated treatment of the valuation of investment opportunities. Taking both industry practice and recent advances in valuation methods into consideration, this text introduces students to a broad spectrum of valuation approaches and equips them to make wise investment decisions.


The Third Edition exposes readers to the latest valuation tools being used in the industry. Practical examples are offered throughout the text to help students understand core principles in the context of realistic situations. Using the accompanying spreadsheets and simulation tools, students will be able to glean information from a variety of sources, construct models that utilize this information, and then summarize their analysis in a meaningful way.

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