ISBN10: 1265332487 | ISBN13: 9781265332488
By Robert Resutek and Vernon Richardson
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- Overview
- Table of Contents
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- Author Bios
- Accessibility
- Affordability
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
Main Features
- LMS Integration
- Print/Loose-Leaf Book Add-On Availability
- Presentation Slides & Instructor Resources
- Question & Test Banks
- Adaptive Assignments
- Student Progress Reporting & Analytics
- Essay Prompts
- Polling
- Prebuilt Courses
- Interactive Exercises
- eBook Access (ReadAnywhere App)
- Remote Proctoring (Proctorio)
- Subject-Specific Tools
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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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Financial Statement Analysis: A Data Analytics Approach
As an expert in financial statement analysis and data analytics, I can provide you with valuable insights into the concepts used in the article you provided. The book mentioned in the article, "Financial Statement Analysis: A Data Analytics Approach" by Robert Resutek and Vernon Richardson, focuses on introducing students to financial statement analysis topics while developing key data analytic skills that are in high demand by employers today.
The book employs an FSA-oriented framework and the AMPS model to help students understand how data can be used to analyze financial statements. It takes a balanced approach, emphasizing both performing data analysis and making data-driven inferences. The book includes 40+ labs in Excel and Tableau, with lab help videos that provide step-by-step instructions for analysis tasks.
Key Concepts Covered in the Book:
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Contemporary Financial Statement Analysis and the Need for Data Analytics: This chapter introduces the importance of financial statement analysis in the modern business environment and highlights the need for data analytics skills to extract insights from financial data.
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Using Financial Statements: This chapter covers the basics of financial statements, including the income statement, balance sheet, and statement of cash flows. It explains how to interpret and analyze the information presented in these statements.
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Alternative Data Sources: This chapter explores the use of alternative data sources, such as industry-specific databases, in financial statement analysis. It discusses the advantages and limitations of using these sources.
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Financial Ratio Analysis: This chapter focuses on the calculation and interpretation of financial ratios, which are used to assess a company's financial performance, liquidity, solvency, and profitability.
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Accounting Quality and Working Capital Analysis: This chapter delves into the analysis of accounting quality and working capital management. It explores how working capital metrics can provide insights into a company's operational efficiency and liquidity.
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Evaluation of Noncurrent Assets and Liabilities to Assess Balance Sheet Quality: This chapter examines the evaluation of noncurrent assets and liabilities to assess the quality of a company's balance sheet. It covers topics such as property, plant, and equipment, intangible assets, long-term debt, and leases.
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Analysis of Cash Flows: This chapter focuses on the analysis of cash flows, including operating, investing, and financing activities. It explains how to assess a company's cash flow generation and cash flow adequacy.
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Forecasting Pro Forma Financial Statements: This chapter explores the techniques and methodologies used to forecast pro forma financial statements. It covers topics such as sales forecasting, expense forecasting, and financial modeling.
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Introduction to Equity Valuation: This chapter introduces the concept of equity valuation and the various approaches used to value stocks. It covers fundamental analysis, relative valuation, and discounted cash flow (DCF) analysis.
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Quantitative and Qualitative Sensitivity Analysis to Assess Forecast Assumptions: This chapter discusses sensitivity analysis, which is used to assess the impact of changes in key assumptions on financial forecasts. It covers both quantitative and qualitative sensitivity analysis techniques.
Additional Features:
The book offers various additional features to enhance the learning experience, including:
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Connect: This title offers robust platform support through Connect, which includes 40+ labs in Excel and Tableau with lab help videos, lecture videos, auto-graded assessments, and SmartBook. Connect provides students with a comprehensive online learning platform that includes homework, study tools, the eBook, and adaptive assignments.
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LMS Integration: The book is designed to integrate seamlessly with Learning Management Systems (LMS), making it easy for instructors to manage and deliver course materials.
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Print/Loose-Leaf Book Add-On Availability: The book is available in print and loose-leaf formats, offering flexibility for students who prefer physical copies of the material.
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Presentation Slides & Instructor Resources: Instructors have access to presentation slides and other resources to support their teaching.
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Question & Test Banks: The book provides question and test banks to assist instructors in creating assessments and quizzes.
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Adaptive Assignments: Connect offers adaptive assignments that dynamically adapt based on a student's performance, providing personalized learning experiences.
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Student Progress Reporting & Analytics: Connect provides instructors with detailed reports and analytics on student progress, allowing them to track performance and identify areas for improvement.
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Essay Prompts: The book includes essay prompts to encourage critical thinking and deeper understanding of the material.
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Polling: Connect offers polling features that can be used to engage students and assess their understanding of key concepts.
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Prebuilt Courses: Connect provides prebuilt courses that can be customized to suit individual instructor preferences.
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Interactive Exercises: The book includes interactive exercises to reinforce learning objectives and provide hands-on practice.
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eBook Access (ReadAnywhere App): Students have access to the eBook through the ReadAnywhere app, allowing them to access the material offline and on mobile devices.
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Remote Proctoring (Proctorio): Connect offers remote proctoring capabilities through Proctorio, ensuring the integrity of online assessments.
About the Authors:
The authors of the book, Robert Resutek and Vernon Richardson, are both highly knowledgeable in the field of accounting and financial statement analysis.
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Robert Resutek is an Associate Professor of Accounting at the Terry College of Business at the University of Georgia. He has published articles in reputable journals such as The Accounting Review and Journal of Accounting & Economics. His research focuses on how the capital market interprets financial information and the relationship between a company's fundamental economic performance and its accounting system.
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Vernon Richardson is a Distinguished Professor of Accounting at the University of Arkansas and a visiting professor at Baruch College. He has taught at various universities and has published articles in journals such as The Accounting Review and Journal of Accounting and Economics. He is also a co-author of several textbooks on data analytics for accounting and business analytics.
Both authors bring a wealth of knowledge and expertise to the book, ensuring that students receive high-quality instruction in financial statement analysis and data analytics.
Conclusion:
Based on the information provided, "Financial Statement Analysis: A Data Analytics Approach" is a comprehensive and practical resource for students seeking to develop their financial statement analysis skills and gain proficiency in data analytics. The book covers a wide range of topics and offers a robust platform support system through Connect. With its emphasis on hands-on learning and data-driven inferences, this book is a valuable asset for students pursuing careers in finance, accounting, and data analytics.
