This paper considers the role of country-level opacity (the lack of availability of information) in amplifying shocks emanating from financial centers. We provide a simple model where, in the presence of ambiguity (uncertainty about the probability distribution of returns), prices in emerging markets react more strongly to signals from the developed market, the more opaque the emerging market is. The second contribution is empirical evidence for bond and equity markets in line with this prediction. Increasing the availability of information about public policies, improving accounting standards, and enhancing legal frameworks can help reduce the unpleasant side effects of financial globalization.

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 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.

This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics and Management, MS 2016, held in Teruel, Spain, in July 2016. The event was co-organized by the AMSE Association and the University of Zaragoza through the GESES Research Group, with the support of the SoGReS-MF Research Group from University Jaume I. This edition of the conference paid special attention to modeling and simulation in diverse fields of business management. The 20 papers in this book were carefully reviewed and selected from 52 submissions. They are organized in topical sections on modeling and simulation in finance and accounting; modeling and simulation in business management and economy; and engineering and other general applications. /div

This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds)