Intra Industry Information Transfers By Earnings Announcements
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Author | : Management Association, Information Resources |
Publisher | : IGI Global |
Total Pages | : 2253 |
Release | : 2020-11-27 |
Genre | : Computers |
ISBN | : 1799877485 |
As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.
Author | : Thi Le |
Publisher | : Springer Nature |
Total Pages | : 350 |
Release | : 2021-04-13 |
Genre | : Business & Economics |
ISBN | : 3030712427 |
This book focuses on the impact of high-frequency data in forecasting market volatility and options price. New technologies have created opportunities to obtain better, faster, and more efficient datasets to explore financial market phenomena at the most acceptable data levels. It provides reliable intraday data supporting financial investment decisions across different assets classes and instruments consisting of commodities, derivatives, equities, fixed income and foreign exchange. This book emphasises four key areas, (1) estimating intraday implied volatility using ultra-high frequency (5-minutes frequency) currency options to capture traders' trading behaviour, (2) computing realised volatility based on 5-minute frequency currency price to obtain speculators' speculation attitude, (3) examining the ability of implied volatility to subsume market information through forecasting realised volatility and (4) evaluating the predictive power of implied volatility for pricing currency options. This is a must-read for academics and professionals who want to improve their skills and outcomes in trading options.
Author | : Philip Brown |
Publisher | : Routledge |
Total Pages | : 443 |
Release | : 2013-06-19 |
Genre | : Business & Economics |
ISBN | : 1135077584 |
Philip Brown is one of the most admired and respected accounting academics alive today. He was a pioneer in capital markets research in accounting, and his 1968 article, co-authored with Ray Ball, "An Empirical Evaluation of Accounting Income Numbers," arguably had a greater impact on the course of accounting research, directly and indirectly, than any other article during the second half of the twentieth century. Since that time, his innovative research has focused on issues that bridge accounting and finance, including the relationships between net profit reports and the stock market, the long-run performance of acquiring firms, statutory sanctions and voluntary corporate disclosure, and the politics and future of national accounting standards to name a few. This volume brings together the greatest hits of Brown’s career, including several articles that were published in out-of-the-way places, for easier use by students and researchers in the field. With a foreword written by Stephen A. Zeff, and an introduction that discusses the evolution of Brown’s research interests and explains the context for each of the essays included in the volume, this book offers the reader a unique look inside this remarkable 50-year career.
Author | : James Ming Chen |
Publisher | : Springer |
Total Pages | : 293 |
Release | : 2017-10-04 |
Genre | : Business & Economics |
ISBN | : 3319634658 |
This book rehabilitates beta as a definition of systemic risk by using particle physics to evaluate discrete components of financial risk. Much of the frustration with beta stems from the failure to disaggregate its discrete components; conventional beta is often treated as if it were "atomic" in the original Greek sense: uncut and indivisible. By analogy to the Standard Model of particle physics theory's three generations of matter and the three-way interaction of quarks, Chen divides beta as the fundamental unit of systemic financial risk into three matching pairs of "baryonic" components. The resulting econophysics of beta explains no fewer than three of the most significant anomalies and puzzles in mathematical finance. Moreover, the model's three-way analysis of systemic risk connects the mechanics of mathematical finance with phenomena usually attributed to behavioral influences on capital markets. Adding consideration of volatility and correlation, and of the distinct cash flow and discount rate components of systematic risk, harmonizes mathematical finance with labor markets, human capital, and macroeconomics.
Author | : Gillian Hian Heng Yeo |
Publisher | : |
Total Pages | : 178 |
Release | : 1991 |
Genre | : Business forecasting |
ISBN | : |
Author | : Ulf Brüggemann |
Publisher | : Springer Science & Business Media |
Total Pages | : 162 |
Release | : 2011-08-31 |
Genre | : Business & Economics |
ISBN | : 3834969524 |
Ulf Brüggemann discusses and empirically investigates the economic consequences of mandatory switch to IFRS. He provides evidence that cross-border investments by individual investors increased following the introduction of IFRS.
Author | : Heather Elise Tookes |
Publisher | : |
Total Pages | : 592 |
Release | : 2003 |
Genre | : |
ISBN | : |
Author | : Guochang Zhang |
Publisher | : Springer Science & Business Media |
Total Pages | : 250 |
Release | : 2013-09-28 |
Genre | : Business & Economics |
ISBN | : 1461481600 |
The purpose of this book is to offer a more systematic and structured treatment of the research on accounting‐based valuation, with a primary focus on recent theoretical developments and the resulting empirical analyses that recognize the role of accounting information in making managerial decisions. Since its inception, valuation research in accounting has evolved primarily along an “empirically driven” path. In the absence of models constructed specifically to explain this topic, researchers have relied on economic intuition and theories from other disciplines (mainly finance and economics) as a basis for designing empirical analyses and interpreting findings. Although this literature has shed important light on the usefulness of accounting information in capital markets, it is obvious that the lack of a rigorous theoretical framework has hindered the establishment of a systematic and well‐structured literature and made it difficult to probe valuation issues in depth. More recently, however, progress has been made on the theoretical front. The two most prominent frameworks are (i) the “linear information dynamic approach” and (ii) the “real options‐based approach” which recognizes managerial uses of accounting information in the pursuit of value generation. This volume devotes its initial chapters to an evaluation of the models using the linear dynamic approach, and then provides a synthesis of the theoretical studies that adopt the real options approach and the empirical works which draw on them. The book also makes an attempt to revisit and critique existing empirical research (value-relevance and earnings-response studies) within the real options-based framework. It is hoped that the book can heighten interest in integrating theoretical and empirical research in this field, and play a role in helping this literature develop into a more structured and cohesive body of work. Value is of ultimate concern to economic decision-makers, and valuation theory should serve as a platform for studying other accounting topics. The book ends with a call for increased links of other areas of accounting research to valuation theory.
Author | : Amit Gupta |
Publisher | : Gyan Publishing House |
Total Pages | : 374 |
Release | : 2010-08 |
Genre | : Industrial management |
ISBN | : 9789380222325 |
Author | : American Accounting Association |
Publisher | : |
Total Pages | : 388 |
Release | : 2007 |
Genre | : Accounting |
ISBN | : |