Earnings Management, Conservatism, and Earnings Quality reviews and illustrates earnings management, conservatism, and their effects on earnings quality in an economic modeling framework. Both earnings management and conservative accounting introduce biases to financial reports. The fundamental issue addressed is what economic effects these biases have on earnings quality or financial reporting quality. Earnings Management, Conservatism, and Earnings Quality reviews analytical models of earnings management and conservatism and shows that both can have beneficial or detrimental economic effects, so a differentiated view is appropriate. Earnings management can provide additional information via the financial reporting communication channel, but it can also be used to misrepresent the firm's position. What the authors find is that similar to earnings management, conservatism can reduce the information content of financial reports if it suppresses relevant information, but it can be a desirable feature that improves economic efficiency. The approach to study earnings management, conservatism, and earnings quality is based on the information economics literature. A variety of analytical models are reviewed that capture the effects and subtle interactions of managers' incentives and rational expectations of users. The benefit of analytical models is to make precise these, often highly complex, strategic effects. They offer a rigorous explanation for the phenomena and show that sometimes conventional wisdom does not apply. The monograph is organized around a few basic model settings, which are presented in simple versions first and then in extensions to elicit the main insights most clearly. Chapter 2 presents the basic rational expectations equilibrium model with earnings management and rational inferences by the capital market. Chapter 3 is devoted to earnings quality and earnings quality metrics used in many studies. Chapter 4 studies conservatism in accounting. Finally, the authors examine the interaction between conservatism and earnings management. Each chapter ends with a section containing a summary of the main findings and conclusions.

This review lays out a research perspective on earnings quality. We provide an overview of alternative definitions and measures of earnings quality and a discussion of research design choices encountered in earnings quality research. Throughout, we focus on a capital markets setting, as opposed, for example, to a contracting or stewardship setting. Our reason for this choice stems from the view that the capital market uses of accounting information are fundamental, in the sense of providing a basis for other uses, such as stewardship. Because resource allocations are ex ante decisions while contracting/stewardship assessments are ex post evaluations of outcomes, evidence on whether, how and to what degree earnings quality influences capital market resource allocation decisions is fundamental to understanding why and how accounting matters to investors and others, including those charged with stewardship responsibilities. Demonstrating a link between earnings quality and, for example, the costs of equity and debt capital implies a basic economic role in capital allocation decisions for accounting information; this role has only recently been documented in the accounting literature. We focus on how the precision of financial information in capturing one or more underlying valuation-relevant constructs affects the assessment and use of that information by capital market participants. We emphasize that the choice of constructs to be measured is typically contextual. Our main focus is on the precision of earnings, which we view as a summary indicator of the overall quality of financial reporting. Our intent in discussing research that evaluates the capital market effects of earnings quality is both to stimulate further research in this area and to encourage research on related topics, including, for example, the role of earnings quality in contracting and stewardship.

Earnings Management, Conservatism, and Earnings Quality reviews and illustrates earnings management, conservatism, and their effects on earnings quality in an economic modeling framework. Both earnings management and conservative accounting introduce biases to financial reports. The fundamental issue addressed is what economic effects these biases have on earnings quality or financial reporting quality. Earnings Management, Conservatism, and Earnings Quality reviews analytical models of earnings management and conservatism and shows that both can have beneficial or detrimental economic effects, so a differentiated view is appropriate. Earnings management can provide additional information via the financial reporting communication channel, but it can also be used to misrepresent the firm's position. What the authors find is that similar to earnings management, conservatism can reduce the information content of financial reports if it suppresses relevant information, but it can be a desirable feature that improves economic efficiency. The approach to study earnings management, conservatism, and earnings quality is based on the information economics literature. A variety of analytical models are reviewed that capture the effects and subtle interactions of managers' incentives and rational expectations of users. The benefit of analytical models is to make precise these, often highly complex, strategic effects. They offer a rigorous explanation for the phenomena and show that sometimes conventional wisdom does not apply. The monograph is organized around a few basic model settings, which are presented in simple versions first and then in extensions to elicit the main insights most clearly. Chapter 2 presents the basic rational expectations equilibrium model with earnings management and rational inferences by the capital market. Chapter 3 is devoted to earnings quality and earnings quality metrics used in many studies. Chapter 4 studies conservatism in accounting. Finally, the authors examine the interaction between conservatism and earnings management. Each chapter ends with a section containing a summary of the main findings and conclusions.

This book provides an overview of earnings quality (EQ) in the context of financial reporting and offers suggestions for defining and measuring it. Although EQ has received increasing attention from investors, creditors, regulators, and researchers in different areas, there are various definitions of it and different approaches for its measurement. The book describes the relationship between EQ and earnings management (EM) since they can be considered related challenges, especially in the context of international financial reporting standards (IAS/IFRSs). EM occurs when managers make discretionary accounting choices that are regarded as either an efficient communication of private information to improve the informativeness of a firm’s current and future performance, or a distorting disclosure to mislead the firm’s true performance. The intentional manipulation of earnings by managers, within the limits allowed by the accounting standards, may alter the usefulness of financial reporting and lead to lower quality of earnings. The use of fair value in financial reporting has created a current debate about the impact it might have on EQ. At times, the high subjectivity in estimating fair value can allow opportunities for the exercise of management judgments and intentional bias, which can reduce the quality of financial reporting. Management discretion can result in high EM and hence in a reduction of EQ. Particularly during difficult financial periods, managers engage in EM to mask the negative effects of the turmoil, and in such circumstances accruals and earnings smoothing are attempts to reduce abnormal variations of earnings in such circumstances. This book is a valuable resource for those interested in wider perspectives on EQ and it adds to the research studies on this topic in the context of financial reporting.

This book is a study of earnings management, aimed at scholars and professionals in accounting, finance, economics, and law. The authors address research questions including: Why are earnings so important that firms feel compelled to manipulate them? What set of circumstances will induce earnings management? How will the interaction among management, boards of directors, investors, employees, suppliers, customers and regulators affect earnings management? How to design empirical research addressing earnings management? What are the limitations and strengths of current empirical models?

Line-Item Analysis of Earnings Quality provides a comprehensive summary and analysis of the specific earnings quality issues pertaining to key line item components of the financial statements. After providing an overview of earnings quality and earnings management, Line-Item Analysis of Earnings Quality analyzes key line items from the financial statements. For each key line item, the authors: review accounting principles; discuss implications for earnings quality; evaluate the susceptibility of the item to manipulation; describe analyses and red flags which may inform on the item's quality. Line-Item Analysis of Earnings Quality will prove useful in conducting fundamental and contextual analyses through its analysis and evaluations.

Kanodia presents a new approach to the study of accounting measurement that argues that how firms' economic transactions, earnings, and capital flows are measured and reported to the capital markets has substantial effects on the firms' real decisions and on the allocation of resources.