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Irreversible investment is especially sensitive to such risk factors as volatile exchange rates and uncertainty about tariff structures and future cash flows. If the goal of macroeconomic policy is to stimulate investment, stability and credibility may be more important than tax incentives or interest rates.
How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.
This is the first book to investigate individual’s pessimistic and optimistic prospects for the future and their economic consequences based on sound mathematical foundations. The book focuses on fundamental uncertainty called Knightian uncertainty, where the probability distribution governing uncertainty is unknown, and it provides the reader with methods to formulate how pessimism and optimism act in an economy in a strict and unified way. After presenting decision-theoretic foundations for prudent behaviors under Knightian uncertainty, the book applies these ideas to economic models that include portfolio inertia, indeterminacy of equilibria in the Arrow-Debreu economy and in a stochastic overlapping-generations economy, learning, dynamic asset-pricing models, search, real options, and liquidity preferences. The book then proceeds to characterizations of pessimistic (ε-contaminated) and optimistic (ε-exuberant) behaviors under Knightian uncertainty and people’s inherent pessimism (surprise aversion) and optimism (surprise loving). Those characterizations are shown to be useful in understanding several observed behaviors in the global financial crisis and in its aftermath. The book is highly recommended not only to researchers who wish to understand the mechanism of how pessimism and optimism affect economic phenomena, but also to policy makers contemplating effective economic policies whose success delicately hinges upon people’s mindsets in the market. Kiyohiko Nishimura is Professor at the National Graduate Institute for Policy Studies (GRIPS) and Professor Emeritus and Distinguished Project Research Fellow of the Center for Advanced Research in Finance at The University of Tokyo. Hiroyuki Ozaki is Professor of Economics at Keio University.
This is a thoroughly updated edition of Dynamic Asset Pricing Theory, the standard text for doctoral students and researchers on the theory of asset pricing and portfolio selection in multiperiod settings under uncertainty. The asset pricing results are based on the three increasingly restrictive assumptions: absence of arbitrage, single-agent optimality, and equilibrium. These results are unified with two key concepts, state prices and martingales. Technicalities are given relatively little emphasis, so as to draw connections between these concepts and to make plain the similarities between discrete and continuous-time models. Readers will be particularly intrigued by this latest edition's most significant new feature: a chapter on corporate securities that offers alternative approaches to the valuation of corporate debt. Also, while much of the continuous-time portion of the theory is based on Brownian motion, this third edition introduces jumps--for example, those associated with Poisson arrivals--in order to accommodate surprise events such as bond defaults. Applications include term-structure models, derivative valuation, and hedging methods. Numerical methods covered include Monte Carlo simulation and finite-difference solutions for partial differential equations. Each chapter provides extensive problem exercises and notes to the literature. A system of appendixes reviews the necessary mathematical concepts. And references have been updated throughout. With this new edition, Dynamic Asset Pricing Theory remains at the head of the field.
The study of investment under uncertainty was stagnant for several decades until developments in real options revitalized the field. The topics covered in this book include the reasons behind the under-investment programme.
Looking decades ahead into the future, many informed observers see China moving steadily to the top of the world's economic league. Several sources, including the OECD, forecast that the country will be the world's largest economy by 2020. China's urban economy has been the driving force behind the country's recent trends of accelerated growth. By the same token, deterioration in the urban centers could constrain future growth. The Dynamics of Urban Growth in Three Chinese Cities looks at the interplay between geography, size, and industrial structure that determines the industrial vigor of cities. Their conclusions, abundantly illustrated through the experience of the Chinese cities of Shanghai, Tianjin, and Guangzhou, is that each of these factors must be made to work for the city through effective policymaking. The authors compare these cities with each other in the context of the changes sweeping China's economy, review their history and their reform programs from the early 1980s to the mid-1990s, and examine their infrastructure and human capital. The volume includes maps of the cities and their outlying areas and of China's road and rail system, as well as figures depicting the industrial structure of each city. Published for the World Bank by Oxford University Press.
Classic Papers in Natural Resource Economics Revisited is the first attempt to bring together a selection of classic papers in natural resource economics, alongside reflections by highly regarded professionals about how these papers have impacted the field. The seven papers included in this volume are grouped into five sections, representing the five core areas in natural resource economics: the intertemporal problem; externalities and market failure; property rights, institutions and public choice; the economics of exhaustible resources; and the economics of renewable resources. The seven papers are written by distinguished economists, five of them Nobelists. The papers, originally published between 1960 and 2000, addressed key issues in resource production, pricing, consumption, planning, management and policy. The original insights, fresh perspectives and bold vision embodied in these papers had a profound influence on the readership and they became classics in the field. This is the first attempt to publish original commentaries from a diverse group of scholars to identify, probe and analyse the ways in which these papers have impacted and shaped the discourse in natural resource economics. Although directed primarily at an academic audience, this book should also be of great appeal to researchers, policy analysts, and natural resource professionals, in general. This book was published as a series of symposia in the Journal of Natural Resources Policy Research.
We investigate how corporate stock returns respond to geopolitical risk in the case of South Korea, which has experienced large and unpredictable geopolitical swings that originate from North Korea. To do so, a monthly index of geopolitical risk from North Korea (the GPRNK index) is constructed using automated keyword searches in South Korean media. The GPRNK index, designed to capture both upside and downside risk, corroborates that geopolitical risk sharply increases with the occurrence of nuclear tests, missile launches, or military confrontations, and decreases significantly around the times of summit meetings or multilateral talks. Using firm-level data, we find that heightened geopolitical risk reduces stock returns, and that the reductions in stock returns are greater especially for large firms, firms with a higher share of domestic investors, and for firms with a higher ratio of fixed assets to total assets. These results suggest that international portfolio diversification and investment irreversibility are important channels through which geopolitical risk affects stock returns.
While most approaches to capital budgeting have used discounted cash flow valuation techniques, recent attention has been given to the valuation of "real options" to look at capital budgeting decisions and project management. Real options are a measure of the value of managerial flexibility and strategic value in capital investment. Because this topic is important but not yet covered adequately, "Innovation, Infrastructure and Strategic Options" fills a major gap in the market. This text deals with issues of R & D and technology options, investments involving learning, infrastructure, competition, strategy, and growth options.
Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.