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Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.
The Pulitzer Prize-winning reporter details “how the U.S. business press could miss the most important economic implosion of the past eighty years” (Eric Alterman, media columnist for The Nation). In this sweeping, incisive post-mortem, Dean Starkman exposes the critical shortcomings that softened coverage in the business press during the mortgage era and the years leading up to the financial collapse of 2008. He examines the deep cultural and structural shifts—some unavoidable, some self-inflicted—that eroded journalism’s appetite for its role as watchdog. The result was a deafening silence about systemic corruption in the financial industry. Tragically, this silence grew only more profound as the mortgage madness reached its terrible apogee from 2004 through 2006. Starkman frames his analysis in a broad argument about journalism itself, dividing the profession into two competing approaches—access reporting and accountability reporting—which rely on entirely different sources and produce radically different representations of reality. As Starkman explains, access journalism came to dominate business reporting in the 1990s, a process he calls “CNBCization,” and rather than examining risky, even corrupt, corporate behavior, mainstream reporters focused on profiling executives and informing investors. Starkman concludes with a critique of the digital-news ideology and corporate influence, which threaten to further undermine investigative reporting, and he shows how financial coverage, and journalism as a whole, can reclaim its bite. “Can stand as a potentially enduring case study of what went wrong and why.”—Alec Klein, national bestselling author of Aftermath “With detailed statistics, Starkman provides keen analysis of how the media failed in its mission at a crucial time for the U.S. economy.”—Booklist
The ways in which managers communicate information to capital market participants go far beyond financial statements and accounting numbers. Managers communicate economically relevant information both verbally, in documents distributed and available to investors (such as annual reports and SEC filings), and nonverbally, through meetings and conference calls with analysts and investors. We review research on the information contained in nonverbal communication, particularly vocal communication that occurs in organizational contexts. We also explore possible ways in which accounting researchers can draw useful insights from investigating managerial vocal communication. The advances in computerized voice analysis coupled with the increasing availability of audio files containing managerial communication presents promising research opportunities.
An authoritative graduate textbook on information choice, an exciting frontier of research in economics and finance Most theories in economics and finance predict what people will do, given what they know about the world around them. But what do people know about their environments? The study of information choice seeks to answer this question, explaining why economic players know what they know—and how the information they have affects collective outcomes. Instead of assuming what people do or don't know, information choice asks what people would choose to know. Then it predicts what, given that information, they would choose to do. In this textbook, Laura Veldkamp introduces graduate students in economics and finance to this important new research. The book illustrates how information choice is used to answer questions in monetary economics, portfolio choice theory, business cycle theory, international finance, asset pricing, and other areas. It shows how to build and test applied theory models with information frictions. And it covers recent work on topics such as rational inattention, information markets, and strategic games with heterogeneous information. Illustrates how information choice is used to answer questions in monetary economics, portfolio choice theory, business cycle theory, international finance, asset pricing, and other areas Teaches how to build and test applied theory models with information frictions Covers recent research on topics such as rational inattention, information markets, and strategic games with heterogeneous information
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 open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Handbook of Media Economics provides valuable information on a unique field that has its own theories, evidence, and policies. Understanding the media is important for society, and while new technologies are altering the media, they are also affecting our understanding of their economics. Chapters span the large scope of media economics, simultaneously offering in-depth analysis of particular topics, including the economics of why media are important, how media work (including financing sources, institutional settings, and regulation), what determines media content (including media bias), and the effects of new technologies. The volumes provide a powerful introduction for those interested in starting research in media economics. - Helps academic and non-academic economists understand recent rapid changes in theoretical and empirical advances, in structural empirical methods, and in the media industry's connection with the democratic process - Presents the only detailed summary of media economics that emphasizes political economy, merger policy, and competition policy - Pays special attention to the economic influences of the Internet, including developments in social media, user-generated content, and advertising, as well as the Internet's effects on newspapers, radio, and television
Handbook of Media Economics provides valuable information on a unique field that has its own theories, evidence, and policies. Understanding the media is important for society, and while new technologies are altering the media, they are also affecting our understanding of their economics. The book spans the large scope of media economics, simultaneously offering in-depth analysis of particular topics, including the economics of why media are important, how media work (including financing sources, institutional settings, and regulation), what determines media content (including media bias), and the effects of new technologies. The book provides a powerful introduction for those interested in starting research in media economics. - Helps academic and non-academic economists understand recent rapid changes in theoretical and empirical advances, in structural empirical methods, and in the media industry's connection with the democratic process - Presents the only detailed summary of media economics that emphasizes political economy, merger policy, and competition policy - Pays special attention to the economic influences of the Internet, including developments in social media, user-generated content, and advertising, as well as the Internet's effects on newspapers, radio, and television
Corporate Payout Policy synthesizes the academic research on payout policy and explains "how much, when, and how". That is (i) the overall value of payouts over the life of the enterprise, (ii) the time profile of a firm's payouts across periods, and (iii) the form of those payouts. The authors conclude that today's theory does a good job of explaining the general features of corporate payout policies, but some important gaps remain. So while our emphasis is to clarify "what we know" about payout policy, the authors also identify a number of interesting unresolved questions for future research. Corporate Payout Policy discusses potential influences on corporate payout policy including managerial use of payouts to signal future earnings to outside investors, individuals' behavioral biases that lead to sentiment-based demands for distributions, the desire of large block stockholders to maintain corporate control, and personal tax incentives to defer payouts. The authors highlight four important "carry-away" points: the literature's focus on whether repurchases will (or should) drive out dividends is misplaced because it implicitly assumes that a single payout vehicle is optimal; extant empirical evidence is strongly incompatible with the notion that the primary purpose of dividends is to signal managers' views of future earnings to outside investors; over-confidence on the part of managers is potentially a first-order determinant of payout policy because it induces them to over-retain resources to invest in dubious projects and so behavioral biases may, in fact, turn out to be more important than agency costs in explaining why investors pressure firms to accelerate payouts; the influence of controlling stockholders on payout policy --- particularly in non-U.S. firms, where controlling stockholders are common --- is a promising area for future research. Corporate Payout Policy is required reading for both researchers and practitioners interested in understanding this central topic in corporate finance and governance.