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Financial Statement Analysis: A Data Analytics Approach: 2024 Release
Financial Statement Analysis: A Data Analytics Approach: 2024 Release

Financial Statement Analysis: A Data Analytics Approach: 2024 Release

ISBN10: 1265332487 | ISBN13: 9781265332488
By Robert Resutek and Vernon Richardson

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* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

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Financial Statement Analysis: A Data Analytics Approach introduces students to financial statement analysis (FSA) topics while developing the key data analytic skills in demand by today’s employers. Using an FSA-oriented framework and the AMPS model, students learn to understand how data can be used to analyze financial statements. This is done through a balanced approach, centered on both performing data analysis and data-driven inferences. Data analytics labs ask students to think critically, bring together their knowledge of FSA and data analytics to ask and answer questions and present their findings to decision-makers. Paired with Connect this title offers the most robust platform support than any other FSA text on the market. It includes 40+ labs in Excel and Tableau with lab help videos that provide step-by-step instructions walking students through analysis tasks, lecture videos designed to reinforce learning objectives and important chapter concepts, auto-graded assessment, and SmartBook.

1 Contemporary Financial Statement Analysis and the Need for Data Analytics 
2 Using Financial Statements 
3 Alternative Data Sources 
4 Financial Ratio Analysis 
5 Accounting Quality and Working Capital Analysis 
6 Evaluation of Noncurrent Assets and Liabilities to Assess Balance Sheet Quality 
7 Analysis of Cash Flows 
8 Forecasting Pro Forma Financial Statements 
9 Introduction to Equity Valuation 
10 Quantitative and Qualitative Sensitivity Analysis to Assess Forecast Assumptions
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About the Author

Robert Resutek

Robert Resutek is an Associate Professor of Accounting and the Frazier and Deeter Faculty Fellow at the Terry College of Business at the University of Georgia. Prior to his move to Georgia, he was an Associate Professor of Business Administration at the Tuck School of Business at Dartmouth. He received his Bachelors in Business Administration and Masters in Accounting from the University of Michigan and his PhD in accounting from the University of Texas in Austin. He has published articles in The Accounting Review, Journal of Accounting & Economics, Review of Accounting Studies, and Journal of Business, Finance, and Accounting. His research centers on how the capital market interprets financial information and determining the extent to which investors react to a company’s fundamental economic performance or how that fundamental economic performance is measured by the accounting system.

Vernon Richardson

Vernon J. Richardson is a Distinguished Professor of Accounting and the G. William Glezen Chair in the Sam M. Walton College of Business at the University of Arkansas and a visiting professor at Baruch College. He received his BS. Master’s of Accountancy, and MBA from Brigham Young University and a PhD in accounting from the University of Illinois at Urbana-Champaign. He has taught students at the University of Arkansas, University of Illinois, Brigham Young University, and University of Kansas and internationally at Chinese University of Hong Kong Shenzhen, Aarhus University, the China Europe International Business School (Shanghai), Xi'an Jiaotong Liverpool University, and the University of Technology Sydney.

Dr. Richardson is a member of the American Accounting Association. He has served as president of the American Accounting Association Information Systems section. He previously served as an editor of The Accounting Review and is currently an editor at Accounting Horizons. He has published articles in The Accounting Review, Journal of Information Systems, Journal of Accounting and Economics, Contemporary Accounting Research, MIS Quarterly, International Journal of Accounting Information Systems, Journal of Management Information Systems, Journal of Operations Management, and Journal of Marketing. Dr. Richardson is also a co-author of McGraw-Hill’s Introduction to Data Analytics for Accounting, Data Analytics for Accounting and Introduction to Business Analytics textbooks.


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