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This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples. Written by international experts in their field, the unique approach describes a question or issue in finance and then demonstrates the methodologies that may be used to solve it. All of the techniques described are used to address real problems rather than being presented for their own sake, and the areas of application have been carefully selected so that a broad range of methodological approaches can be covered. The Handbook is aimed primarily at doctoral researchers and academics who are engaged in conducting original empirical research in finance. In addition, the book will be useful to researchers in the financial markets and also advanced Masters-level students who are writing dissertations.
What is my theory? How do I choose a theory? Why and how should I employ a particular method for collecting the empirical data? These basic questions concern everyone involved in research. A research study can be a voyage of discovering or choice of theoretical perspective as well as gathering empirics or facts on a problem or situation. This book provides a good guideline as to why and how to choose a particular theory or method to study an organisational phenomenon such as accounting. All the chapters provide both retrospective and contemporary views by scholars in the field. Each chapter documents the latest developments and research in accounting and control systems and provides valuable insights into methodological perspectives in accounting research. This second edition has also introduced a number of new chapters covering strategy-management control as practice, grounded theory approach, institutional logic and rhetoric, social interaction theory, actor-network theory and practice theory. The book is primarily intended for research students and academic researchers. It can also be used for undergraduate Honours course as well as postgraduate accounting and business methodology courses. Research organisations and consulting firms in accounting and business fields may also find this book useful. The principal aims of this second edition are (1) to update the chapters previously published in 2006 and (2) to introduce new chapters documenting recent developments in accounting research.
To date, there has been little consideration of the many different ways in which accounting and risk intersect, despite organisations being more determined than ever to build resilience against potential risks. This comprehensive volume overcomes this gap by providing an overview of the field, drawing together current knowledge of risk in a wide range of different accounting contexts. Key themes such as corporate governance, trust, uncertainty and climate change are covered by a global array of contributing scholars. These contributions are divided into four areas: The broader aspects of risk and risk management Risk in financial reporting Risk in management accounting Risk monitoring The book is supported by a series of illustrative case studies which help to bring together theory and practice. With its wealth of examples and analyses, this volume provides essential reading for students, scholars and practitioners charged with understanding diverse facets of risk in the context of accounting in the business world.
Aimed at primarily researchers, academics and students in the fields of research methodology, management accounting and interventionist research, this book provides methodological guidance on how to execute research projects with interventionist elements, aiming at strong theory contribution with broader societal impacts. Focusi
Includes research papers that examines various issues including the adoption of International Financial Reporting Standards (IFRS) and International Public Sector Accounting Standards (IPSASs), management accounting change in the context of public sector reforms, corporate reporting disclosures, auditing, etcetera.
This monograph promotes a broad interdisciplinary debate about causality and the role of causal inference in the social sciences. It allows researchers and Ph.D students in accounting/social sciences to acquire a deeper understanding of the notion of causality and the nature, limits, and scope of empirical research in the social sciences.
This textbook provides the foundation for a course that takes PhD students in empirical accounting research from the very basics of statistics, data analysis, and causal inference up to the point at which they conduct their own research. Starting with foundations in statistics, econometrics, causal inference, and institutional knowledge of accounting and finance, the book moves on to an in-depth coverage of the core papers in capital market research. The latter half of the book examines contemporary approaches to research design and empirical analysis, including natural experiments, instrumental variables, fixed effects, difference-in-differences, regression discontinuity design, propensity-score matching, and machine learning. Readers of the book will develop deep data analysis skills using modern tools. Extensive replication and simulation analysis is included throughout. Key Features: Extensive coverage of empirical accounting research over more than 50 years. Integrated coverage of statistics and econometrics, institutional knowledge, and research design. Numerous replications and a dozen simulation analyses to immerse readers in papers and empirical analysis. All tables and figures in the book can be reproduced by readers using included code. Easy-to-use templates facilitate hands-on exercises and introduce reproduceable research concepts. (Solutions available to instructors.)