Financial Statement Analysis: A Data Analytics Approach, 2024 Release (2024)

Financial Statement Analysis: A Data Analytics Approach, 2024 Release (1)

Financial Statement Analysis: A Data Analytics Approach, 2024 Release (2)

ISBN10: 1265332487 | ISBN13: 9781265332488

By Robert Resutek and Vernon Richardson

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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.

Financial Statement Analysis: A Data Analytics Approach, 2024 Release (4)

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Affordability

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As an expert in educational materials and publishing, particularly in the field of accounting and financial statement analysis, I can provide valuable insights into the information provided regarding the textbook with ISBN10: 1265332487 | ISBN13: 9781265332488, authored by Robert Resutek and Vernon Richardson.

Firstly, let's delve into the details of the textbook and its various formats and options. The book is titled "Financial Statement Analysis: A Data Analytics Approach," and it is published by McGraw Hill. The authors, Robert Resutek and Vernon Richardson, are well-credentialed in the field, with extensive experience and academic achievements in accounting.

The textbook is available in different formats, catering to diverse learning preferences and needs:

  1. eBook Options:

    • McGraw Hill eBook (180 Days Access Rental) - $59.00
    • McGraw Hill eBook Lifetime Purchase - $94.00
  2. Print Options:

    • Textbook Rental (150 Days Access) - $70.00
    • Loose-Leaf Purchase - Currently not available for purchase
    • Hardcover or Softcover (Complete text) - $70.88
  3. Connect (Online Learning Platform) Options:

    • Connect (180 Days Access) - Available for Purchase on 06/03/24 - $163.58
    • Connect + Loose-Leaf - Available for Purchase on 05/01/24 - $259.62

The Connect platform provides digital access to a comprehensive online learning platform, including homework, study tools, the eBook, and adaptive assignments. It is mentioned that Connect can only be used if assigned by the instructor.

The textbook, "Financial Statement Analysis: A Data Analytics Approach," focuses on introducing students to financial statement analysis (FSA) topics while emphasizing key data analytic skills. The authors utilize an FSA-oriented framework and the AMPS model to help students understand how data can be used to analyze financial statements. The approach is balanced, emphasizing both performing data analysis and drawing data-driven inferences.

The main features of the book include:

  • 40+ labs in Excel and Tableau with lab help videos
  • Lecture videos designed to reinforce learning objectives
  • Auto-graded assessments
  • SmartBook functionality

The chapters covered in the textbook are as follows:

  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

Furthermore, the textbook is designed to be used with the Connect platform, enhancing the learning experience by providing additional resources and interactive features. The estimated market availability and pricing information are also provided, with a note that the pricing is subject to change.

In terms of the authors, Robert Resutek and Vernon Richardson, they bring significant expertise to the table. Robert Resutek is an Associate Professor of Accounting at the Terry College of Business at the University of Georgia, and Vernon Richardson is a Distinguished Professor of Accounting at the University of Arkansas. Both authors have published articles in reputable journals and have a strong background in accounting education.

In conclusion, the textbook, authored by Resutek and Richardson, presents a comprehensive and modern approach to financial statement analysis, incorporating data analytics skills that are in demand in today's job market. The variety of format options and the integration with the Connect platform make it a versatile and robust resource for students and instructors alike.

Financial Statement Analysis: A Data Analytics Approach, 2024 Release (2024)
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