Corporate Social Responsibility


Book Description

As a relatively young subject matter, corporate social responsibility has unsurprisingly developed and evolved in numerous ways since the first edition of this textbook was published. Retaining the features which made the first edition a top selling text in the field, the new edition continues to be the only textbook available which provides a ready-made, enhanced course pack for CSR classes. Authoritative editor introductions provide accessible entry points to the subjects covered - an approach which is particularly suited to advanced undergraduate and postgraduate teaching that emphasises a research-led approach. New case studies are integrated throughout the text to enable students to think and analyze the subject from every angle. The entire textbook reflects the global nature of CSR as a discipline and further pedagogical features include chapter learning outcomes; study questions; ‘challenges for practice’ boxes and additional ‘further reading’ features at the end of each chapter. This highly rated textbook now also benefits from a regularly updated companion website which features a brand new 'CSR Case Club' presenting students and lecturers with further case suggestions with which to enhance learning; lecture slides; updates from the popular Crane and Matten blog, links to further reading and career sites, YouTube clips and suggested answers to study questions. An Ivey CaseMate has also been created for this book at https://www.iveycases.com/CaseMateBookDetail.aspx?id=335.




Ethnostatistics


Book Description

This volume discusses ethnostatistics - the interpretative study of the construction and use of statistics in social research - and will be of equal interest to qualitative and quantitative researchers across the social sciences. On the understanding that the development of a statistic is inherently a qualitative act, the author shows how this act can be studied and analyzed. The interpretative factors in statistical work can be demonstrated at a variety of levels; Gephart shows how each can be usefully illuminated through the use of ethnostatistics to produce more effective, reflexive social research.







The Handbook of Equity Market Anomalies


Book Description

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.




Earnings Management, Fintech-Driven Incentives and Sustainable Growth


Book Description

Traditional research about Financial Stability and Sustainable Growth typically omits Earnings Management (as a broad class of misconduct), Complex Systems Theory, Mechanism Design Theory, Public Health, psychology issues, and the externalities and psychological effects of Fintech. Inequality, Environmental Pollution, Earnings Management opportunities, the varieties of complex Financial Instruments, Fintech, Regulatory Fragmentation, Regulatory Capture and real-financial sector-linkages are growing around the world, and these factors can have symbiotic relationships. Within Complex System theory framework, this book analyzes these foregoing issues, and introduces new behaviour theories, Enforcement Dichotomies, and critiques of models, regulations and theories in several dimensions. The issues analyzed can affect markets, and evolutions of systems, decision-making, "nternal Markets and risk-perception within government regulators, operating companies and investment entities, and thus they have Public Policy implications. The legal analysis uses applicable US case-law and statutes (which have been copied by many countries, and are similar to those of many common-law countries). Using Qualitative Reasoning, Capital Dynamics Theory (a new approach introduced in this book), Critical Theory and elements of Mechanism Design Theory, the book aims to enhance cross-disciplinary analysis of the above-mentioned issues; and to help researchers build better systems/Artificial-Intelligence/mathematical models in Financial Stability, Portfolio Management, Policy-Analysis, Asset Pricing, Contract Theory, Enforcement Theory and Fraud Detection. The primary audience for this book consists of university Professors, PHD students and PHD degree-holders (in industries, government agencies, financial services companies and research institutes). The book can be used as a primary or supplementary textbook for graduate courses in Regulation; Capital Markets; Law & Economics, International Political Economy and or Mechanism Design (Applied Math, Operations Research, Computer Science or Finance).




Behavioral Corporate Finance


Book Description




Earnings Management


Book Description

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?




AI and Financial Markets


Book Description

Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.




Changing Nature of Financial Intermediation and the Financial Crisis of 2007-09


Book Description

This is a print on demand edition of a hard to find publication. The financial crisis of 2007-09 highlighted the changing role of financial institutions and the growing importance of the ¿shadow banking system,¿ which grew out of the securitization of assets and the integration of banking with capital market developments. In a market-based financial system, banking and capital market developments are inseparable, and funding conditions are tied closely to fluctuations in the leverage of market-based financial intermediaries. This report describes the changing nature of financial intermediation in the market-based financial system, charts the course of the recent financial crisis, and outlines the policy responses that have been implemented by the Fed. Reserve and other central banks. Charts and tables.




The Self in Social Judgment


Book Description

The volume begins with a historical overview of the self in social judgment and outlines the major issues. Subsequent chapters, all written by leading experts in their respective areas, identify and elaborate four major themes regarding the self in social judgment: · the role of the self as an information source for evaluating others, or what has been called 'social projection' · the assumption of personal superiority as reflected in the pervasive tendency for people to view their characteristics more favorably than those of others · the role of the self as a comparison standard from or toward which other people's behaviors and attributes are assimilated or contrasted · the relative weight people place on the individual and collective selves in defining their attributes and comparing them to those of other people