The fundamentals of financial statement analysis as applied to the Coca-Cola Company /
Enregistré dans:
| Auteurs principaux: | , , |
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| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
New York, New York (222 East 46th Street, New York, NY 10017) :
Business Expert Press,
2015.
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| Édition: | First edition. |
| Collection: | 2014 digital library.
Finance and financial management collection. |
| Sujets: | |
| Accès en ligne: | An electronic book accessible through the World Wide Web; click to view |
| Tags: |
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| Résumé: | Recent stock market crises are exacerbated by investors not understanding what has been happening to companies because investors lack an understanding of financial ratio analysis. Stock markets are efficient in that they incorporate, and even anticipate, information about companies based on financial accounting data provided by companies. However, market efficiency results from extensive analysis performed by financial analysts. Much of this financial analysis is based on the analysis of financial information provided by companies and analyzed using financial ratio analysis. The goal of this book is to provide a step-by-step demonstration of how to download data from Internet sources, transfer the data into a spreadsheet, and conduct a financial ratio analysis of Coca-Cola. The book shows the steps needed to perform a financial ratio analysis, the financial statements to be retrieved from EDGAR, and the five categories of financial ratios used in the financial analysis of Coca-Cola. The data retrieved from the financial statements is copied to a worksheet and used to compute and graph the financial ratios. The ratios and graphs are used to determine the performance drivers of Coca-Cola. |
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| Description: | Part of: 2014 digital library. |
| Description matérielle: | 1 online resource (xii, 72 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. System requirements: Adobe Acrobat reader. |
| Bibliographie: | Includes bibliographical references (page [69]) and index. |
| ISBN: | 9781631570964 |
| ISSN: | 2331-0057 |
| Accès: | Access restricted to authorized users and institutions. |