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The asymmetry of responsibilities between management and corporate governance both for day-to-day operations and the board’s monthly or quarterly review and evaluation remains an unresolved challenge. Expertise in the area of risk management is a fundamental requirement for effective corporate governance, if not by all, certainly by some board members. This means that along with board committees such as "compensation", "audit", "strategy" and several others, "risk management" committees must be established to monitor the likelihood of certain events that may cause the collapse of the firm. Risk Management and Corporate Governance allows academics and practitioners to assess the state of international research in risk management and corporate governance. The chapters overlay the areas of risk management and corporate governance on both financial and operating decisions of a firm while treating legal and political environments as externalities to decisions undertaken.
Bringing together some of the world’s leading thinkers and policy experts in the area of natural resource governance and management in Africa, this volume addresses the most critical policy issues affecting the continent’s ability to manage and govern its precious resources. The narrative of the book is solutions-driven, as experts weigh on specific issues within the context of Africa’s natural resource governance and offer appropriate policy recommendations on how to best manage the continent’s resources. This is a must-read for government policy makers in industrialized economies and, more importantly, in Africa and emerging economies, as well as for academic researchers working in the field, extractive companies operating on the continent, extractive industry and trade associations, and multilateral and donor aid institutions.
The book focuses on the macro fiscal policy changes and asks what have been learned from this turbulent decade about the effects of fiscal policy on the economy.
DIVIlluminates recent national economic policy and warns against the single-minded commitment to balance the federal budget. The paperback edition features a new preface and afterword /div
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There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.
At the time in which this book was first published in 1992, there was a major concern with the macro-economic implications of fiscal imbalance. As the European economies moved closer to monetary union, and Germany grappled with the fiscal pressures of unification, deficits in the United States exceeded $300 billion. In this volume the authors address this issue, using both historical case-studies and cross-national comparisons. This book will be of interest to students of economics.
State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations. The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space Models for High Frequency Financial Data. The book will appeal to graduate students and researchers studying state-space modeling in economics, statistics, and mathematics, as well as to finance professionals.
The IMF Working Papers series is designed to make IMF staff research available to a wide audience. Almost 300 Working Papers are released each year, covering a wide range of theoretical and analytical topics, including balance of payments, monetary and fiscal issues, global liquidity, and national and international economic developments.