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We present a framework to derive the probability of default implied by the price of equity options. The framework does not require any strong statistical assumption, and provide results that are informative on the expected developments of balance sheet variables, such as assets, equity and leverage, and on the Greek letters (delta, gamma and vega). We show how to extend the framework by using information from the price of a zero-coupon bond and CDS-spreads. In the episode of the collapse of Bear Stearns, option-iPoD was able to early signal market sentiment.
Since 1998, the world’s leading experts on accounting and regulation have convened in a series of workshops to explore and analyze emerging issues in the field. They have covered a wide array of topics, including corporate governance, auditing, financial disclosure, international standards boards, and the dynamics of markets and institutions. Most recently, they have focused on the role that accounting practices and policies may have played in the global financial crisis of 2008. In this volume, the editors showcase contributions from the workshops that represent the full spectrum of issues and perspectives relating to accounting and regulation. Each paper incorporates the most current examples and references to reflect the latest insights, with an emphasis on exploring future implications for theory and research, practice, and policymaking. ​
Staff Discussion Notes showcase the latest policy-related analysis and research being developed by individual IMF staff and are published to elicit comment and to further debate. These papers are generally brief and written in nontechnical language, and so are aimed at a broad audience interested in economic policy issues. This Web-only series replaced Staff Position Notes in January 2011.
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.
Establishing a corporate governance strategy that promotes the efficient use of organisational resources is instrumental in the economic growth of a country, as well as the successful management of firms. This book reviews existing literature and identifies board structural features as key variables of an effective corporate governance system, establishing a multi-theoretical model that links Board structural characteristics with firm performance. It then, using a comprehensive empirical study of 265 companies listed on the Karachi Stock exchange, tests this conceptual model. This research serves as a significant milestone, reflecting the socio-economic setting of emerging economies, and highlighting the need for the corporate sector in emerging markets to move away from a 'tick-box' culture. It argues that the sector needs to implement corporate governance as a tool to mitigate business risks; appoint and empower non-executive directors to achieve an effective monitoring of management; and establish their own ethical and governance principles, applicable to the Board of Directors. Based on an extensive data base, collected painstakingly over five years, this book offers new insights and conceptual framework for further research in this area. Given the breadth and width of the research, it is a useful source of future reference for students, researchers and policy makers.
This book examines current topics and trends in strategic auditing, accounting and finance in digital transformation both from a theoretical and practical perspective. It covers areas such as internal control, corporate governance, enterprise risk management, sustainability and competition. The contributors of this volume emphasize how strategic approaches in this area help companies in achieving targets. The contributions illustrate how by providing good governance, reliable financial reporting, and accountability, businesses can win a competitive advantage. It further discusses how new technological developments like artificial intelligence (AI), cybersystems, network technologies, financial mobility and smart applications, will shape the future of accounting and auditing for firms.​
There are demands on central banks and financial regulators to take on new responsibilities for supporting the transition to a low-carbon economy. Regulators can indeed facilitate the reorientation of financial flows necessary for the transition. But their powers should not be overestimated. Their diagnostic and policy toolkits are still in their infancy. They cannot (and should not) expand their mandate unilaterally. Taking on these new responsibilities can also have potential pitfalls and unintended consequences. Ultimately, financial regulators cannot deliver a low-carbon economy by themselves and should not risk being caught again in the role of ‘the only game in town.’
This book analyses the use of qualitative and quantitative content analysis methodologies for risk disclosure practices in the European banking industry. While doing so, it assesses the level of transparency of financial and non-financial reports by focusing on the information disclosed to the public with reference to risk exposure and management. By drawing upon both qualitative and quantitative techniques, the book proposes two different methodological approaches to assess the information European financial institutions provide to the public with reference to the risk disclosure and derivative disclosure in their annual financial reports. These methodologies are subsequently employed to carry out empirical analyses on samples of European banks. By exploiting the points of strength of both qualitative and quantitative content analysis methodologies, this book offers insights into the advantages and disadvantages of these methodologies. The book is a must-read for academics and researchers that analyze disclosure practices of financial and non-financial firms, as well as financial analysts and other practitioners that are interested in assessing the level of transparency and evaluating the disclosures of financial and non-financial firms, especially, but not exclusively, with reference to risk disclosure and derivative disclosure.
This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account. In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques. This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.