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The central thesis of the book is that in order to evaluate monetary policy, one should have a clear idea about the characteristics and functions of money as it evolved and in its current form. That is to say that without an understanding about how money evolved as a social institution, what it is today, and what is possible to know about monetary phenomena, it is not possible to develop a meaningful ethics for money; or, to put it differently, to find what kind of institutional arrangements may be deemed good money for the kind of society we are in. And without that, one faces severe limitations in offering a normative position about monetary policy. The project is, consequently, an interdisciplinary one. Its main thread is an inquiry of moral philosophy and its foundations, as applied to money, in order to create tools to evaluate public policy in regard to money, banking, and public finance; and the views of different schools on those topics are discussed. The book is organized in parts on metaphysics, epistemology, ethics and politics of money to facilitate the presentation of all the subjects discussed to an educated readership (and not necessarily just one with a background in economics).
With the collapse of the Bretton Woods system, any pretense of a connection of the world's currencies to any real commodity has been abandoned. Yet since the 1980s, most central banks have abandoned money-growth targets as practical guidelines for monetary policy as well. How then can pure "fiat" currencies be managed so as to create confidence in the stability of national units of account? Interest and Prices seeks to provide theoretical foundations for a rule-based approach to monetary policy suitable for a world of instant communications and ever more efficient financial markets. In such a world, effective monetary policy requires that central banks construct a conscious and articulate account of what they are doing. Michael Woodford reexamines the foundations of monetary economics, and shows how interest-rate policy can be used to achieve an inflation target in the absence of either commodity backing or control of a monetary aggregate. The book further shows how the tools of modern macroeconomic theory can be used to design an optimal inflation-targeting regime--one that balances stabilization goals with the pursuit of price stability in a way that is grounded in an explicit welfare analysis, and that takes account of the "New Classical" critique of traditional policy evaluation exercises. It thus argues that rule-based policymaking need not mean adherence to a rigid framework unrelated to stabilization objectives for the sake of credibility, while at the same time showing the advantages of rule-based over purely discretionary policymaking.
This book integrates the fundamentals of monetary theory, monetary policy theory and financial market theory, providing an accessible introduction to the workings and interactions of globalised financial markets. Includes examples and extensive data analyses.
The classic introduction to the New Keynesian economic model This revised second edition of Monetary Policy, Inflation, and the Business Cycle provides a rigorous graduate-level introduction to the New Keynesian framework and its applications to monetary policy. The New Keynesian framework is the workhorse for the analysis of monetary policy and its implications for inflation, economic fluctuations, and welfare. A backbone of the new generation of medium-scale models under development at major central banks and international policy institutions, the framework provides the theoretical underpinnings for the price stability–oriented strategies adopted by most central banks in the industrialized world. Using a canonical version of the New Keynesian model as a reference, Jordi Galí explores various issues pertaining to monetary policy's design, including optimal monetary policy and the desirability of simple policy rules. He analyzes several extensions of the baseline model, allowing for cost-push shocks, nominal wage rigidities, and open economy factors. In each case, the effects on monetary policy are addressed, with emphasis on the desirability of inflation-targeting policies. New material includes the zero lower bound on nominal interest rates and an analysis of unemployment’s significance for monetary policy. The most up-to-date introduction to the New Keynesian framework available A single benchmark model used throughout New materials and exercises included An ideal resource for graduate students, researchers, and market analysts
The economic crisis of 2008 led to an unprecedented focus on the world of high finance—and revealed it to be far more arcane and influential than most people could ever have imagined. Any hope of avoiding future crises, it’s clear, rest on understanding finance itself. To understand finance, however, we have to learn its history, and this book fills that need. Kevin R. Brine, an industry veteran, and Mary Poovey, an acclaimed historian, show that finance as we know it today emerged gradually in the late nineteenth century and only coalesced after World War II, becoming ever more complicated—and ever more central to the American economy. The authors explain the models, regulations, and institutions at the heart of modern finance and uncover the complex and sometimes surprising origins of its critical features, such as corporate accounting standards, the Federal Reserve System, risk management practices, and American Keynesian and New Classic monetary economics. This book sees finance through its highs and lows, from pre-Depression to post-Recession, exploring the myriad ways in which the practices of finance and the realities of the economy influenced one another through the years. A masterwork of collaboration, Finance in America lays bare the theories and practices that constitute finance, opening up the discussion of its role and risks to a broad range of scholars and citizens.
This book discusses theories of monetary and financial innovation and applies them to key monetary and financial innovations in history – starting with the use of silver bars in Mesopotamia and ending with the emergence of the Eurodollar market in London. The key monetary innovations are coinage (Asia minor, China, India), the payment of interest on loans, the bill of exchange and deposit banking (Venice, Antwerp, Amsterdam, London). The main financial innovation is the emergence of bond markets (also starting in Venice). Episodes of innovation are contrasted with relatively stagnant environments (the Persian Empire, the Roman Empire, the Spanish Empire). The comparisons suggest that small, open and competing jurisdictions have been more innovative than large empires – as has been suggested by David Hume in 1742.
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
William Barnett, the coeditor of this volume, introduced modern economic index number theory into monetary economics and this book comprises a focussed and unified collection of his most important publications in this area. It provides a clear and systematic development of the state-of-the-art in monetary and financial aggregation theory.