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Posing a major challenge to economic orthodoxy, Imperfect Knowledge Economics asserts that exact models of purposeful human behavior are beyond the reach of economic analysis. Roman Frydman and Michael Goldberg argue that the longstanding empirical failures of conventional economic models stem from their futile efforts to make exact predictions about the consequences of rational, self-interested behavior. Such predictions, based on mechanistic models of human behavior, disregard the importance of individual creativity and unforeseeable sociopolitical change. Scientific though these explanations may appear, they usually fail to predict how markets behave. And, the authors contend, recent behavioral models of the market are no less mechanistic than their conventional counterparts: they aim to generate exact predictions of "irrational" human behavior. Frydman and Goldberg offer a long-overdue response to the shortcomings of conventional economic models. Drawing attention to the inherent limits of economists' knowledge, they introduce a new approach to economic analysis: Imperfect Knowledge Economics (IKE). IKE rejects exact quantitative predictions of individual decisions and market outcomes in favor of mathematical models that generate only qualitative predictions of economic change. Using the foreign exchange market as a testing ground for IKE, this book sheds new light on exchange-rate and risk-premium movements, which have confounded conventional models for decades. Offering a fresh way to think about markets and representing a potential turning point in economics, Imperfect Knowledge Economics will be essential reading for economists, policymakers, and professional investors.
Prominent economists reconsider the fundamentals of economic policy for a post-crisis world. In 2011, the International Monetary Fund invited prominent economists and economic policymakers to consider the brave new world of the post-crisis global economy. The result is a book that captures the state of macroeconomic thinking at a transformational moment. The crisis and the weak recovery that has followed raise fundamental questions concerning macroeconomics and economic policy. These top economists discuss future directions for monetary policy, fiscal policy, financial regulation, capital-account management, growth strategies, the international monetary system, and the economic models that should underpin thinking about critical policy choices. Contributors Olivier Blanchard, Ricardo Caballero, Charles Collyns, Arminio Fraga, Már Guðmundsson, Sri Mulyani Indrawati, Otmar Issing, Olivier Jeanne, Rakesh Mohan, Maurice Obstfeld, José Antonio Ocampo, Guillermo Ortiz, Y. V. Reddy, Dani Rodrik, David Romer, Paul Romer, Andrew Sheng, Hyun Song Shin, Parthasarathi Shome, Robert Solow, Michael Spence, Joseph Stiglitz, Adair Turner
Asymmetric information (the fact that borrowers have better information than their lenders) and its theoretical and practical evidence now forms part of the basic tool kit of every financial economist. It is a phenomenon that has major implications for a number of economic and financial issues ranging from both micro and macroeconomic level - corporate debt, investment and dividend policies, the depth and duration of business cycles, the rate of long term economic growth - to the origin of financial and international crises. Asymmetric Information in Financial Markets aims to explain this concept in an accessible way, without jargon and by reducing mathematical complexity. Using elementary algebra and statistics, graphs, and convincing real-world evidence, the author explores the foundations of the problems posed by asymmetries of information in a refreshingly accessible and intuitive way.
This book is a collection of eleven papers concerned with the effects of market imperfections on the decision-making of economic agents and on economic policies that try to correct the inefficient market outcomes due to those imperfections. As a consequence, real and financial imperfections are related : economic decisions are simultaneously affected by imperfections present both in real and financial markets. Notwithstanding the obvious fact that market interdependence is not novel, scholar interests are typically concentrated on the specific relationship among economic decisions originating from particular imperfections. This explains why, in the case of perfect financial markets, we can speak of "the" us.
Economic and financial research on insurance markets has undergone dramatic growth since its infancy in the early 1960s. Our main objective in compiling this volume was to achieve a wider dissemination of key papers in this literature. Their significance is highlighted in the introduction, which surveys major areas in insurance economics. While it was not possible to provide comprehensive coverage of insurance economics in this book, these readings provide an essential foundation to those who desire to conduct research and teach in the field. In particular, we hope that this compilation and our introduction will be useful to graduate students and to researchers in economics, finance, and insurance. Our criteria for selecting articles included significance, representativeness, pedagogical value, and our desire to include theoretical and empirical work. While the focus of the applied papers is on property-liability insurance, they illustrate issues, concepts, and methods that are applicable in many areas of insurance. The S. S. Huebner Foundation for Insurance Education at the University of Pennsylvania's Wharton School made this book possible by financing publication costs. We are grateful for this assistance and to J. David Cummins, Executive Director of the Foundation, for his efforts and helpful advice on the contents. We also wish to thank all of the authors and editors who provided permission to reprint articles and our respective institutions for technical and financial support.
We would like to thank Akos Valentinyi and Mark Schaffer for their advice on various stages of this research project. We also would like to thank our col leagues at the Department of Economics of the University of Milan - Bicocca for their advice and support. This book is the result of a long term project financed by various research grants: in particular the Phare-Ace programme (Project P-96-6151-R) and a research grant from the Italian Ministry of Education under the young researchers scheme. Milan, March 2005 Emilio Colombo Luca Stanca Contents Introduction 1 Financial market imperfections and corporate decisions: theory and evidence 7 2. 1 Introduction 7 2. 2 Financial market imperfections, investment and cycles 9 2. 2. 1 The Stiglitz view 9 2. 2. 2 Agency costs and macroeconomic fluctuations 15 2. 2. 3 Assessing the differences 18 2. 2. 4 Further developments 20 2. 2. 5 Empirical evidence 22 2. 3 Financial market imperfections and corporate capital structure 24 2. 3. 1 Asymmetric information and capital structure choice . . 25 2. 3. 2 Agency costs and capital structure choice 30 2. 3. 3 Empirical evidence 32 The transformation of the Hungarian financial system 35 3. 1 Introduction 35 3. 2 Macroeconomic background 36 3. 3 Liberalisation, privatisation and financial development 44 3. 3. 1 Banking and credit 45 3. 3. 2 Equity market 48 3. 3. 3 Foreign direct investment 49 3. 4 Financial sector reform 50 3. 4.
Major themes in theoretical financial economics since 1973 are presented through reprinted articles, each followed by a substantial essay by a leading scholar in the field. These original papers were written expressly for these volumes and provide a critical discussion and overview of the topic. The books thus present a broad spectrum of viewpoints with an emphasis on the work on valuation, economics of uncertainty, and taxation which pertains to the problems of financial markets and corporations.
Volume 1 of 'The Strategic Analysis of Financial Markets,' — Framework, is premised on the belief that markets can be understood only by dropping the assumptions of rationality and efficient markets in their extreme forms, and showing that markets still have an inherent order and inherent logic. But that order results primarily from the 'predictable irrationality' of investors, as well as from people's uncoordinated attempts to profit. The market patterns that result do not rely on rationality or efficiency.A framework is developed for understanding financial markets using a combination of psychology, statistics, game and gambling analysis, market history and the author's experience. It expresses analytically how professional investors and traders think about markets — as games in which other participants employ inferior, partially predictable strategies. Those strategies' interactions can be toxic and lead to booms, bubbles, busts and crashes, or can be less dramatic, leading to various patterns that are mistakenly called 'market inefficiencies' and 'stylized facts.'A logical case is constructed, starting from two foundations, the psychology of human decision making and the 'Fundamental Laws of Gambling.' Applying the Fundamental Laws to trading leads to the idea of 'gambling rationality' (grationality), replacing the efficient market's concept of 'rationality.' By classifying things that are likely to have semi-predictable price impacts (price 'distorters'), one can identify, explore through data analysis, and create winning trading ideas and systems. A structured way of doing all this is proposed: the six-step 'Strategic Analysis of Market Method.' Examples are given in this and Volume 2.Volume 2 of 'The Strategic Analysis of Financial Markets' — Trading System Analytics, continues the development of Volume 1 by introducing tools and techniques for developing trading systems and by illustrating them using real markets. The difference between these two Volumes and the rest of the literature is its rigor. It describes trading as a form of gambling that when properly executed, is quite logical, and is well known to professional gamblers and analytical traders.But even those elites might be surprised at the extent to which quantitative methods have been justified and applied, including a life cycle theory of trading systems. Apart from a few sections that develop background material, Volume 2 creates from scratch a trading system for Eurodollar futures using principles of the Strategic Analysis of Markets Method (SAMM), a principled, step-by-step approach to developing profitable trading systems. It has an entire Chapter on mechanical methods for testing and improvement of trading systems, which transcends the rather unstructured and unsatisfactory 'backtesting' literature. It presents a breakout trend following system developed using factor models. It also presents a specific pairs trading system, and discusses its life cycle from an early, highly profitable period to its eventual demise. Recent developments in momentum trading and suggestions on improvements are also discussed.
Contributed articles.
An Italian study group made up of seven economists report their findings on how the new Keynesian economics has reacted to challenges from new classical economics by strengthening the analytical power of its models. First they discuss the theoretical unde