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The standard linear model fails to account for primary commodity price movements in any significant area, so it is important to do more empirical work to learn to which commodities this nonlinear model applies.
Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.
Commodity markets are of considerable interest and importance to economists, econometricians and dealers. This book reports the proceedings of an international conference on 'Primary Commodity Prices: Economic Models and Policy', held in London under the auspices of the Centre for Economic Policy Research in March 1989. A range of papers by leading international authorities covers topics such as expectations formation in econometric commodity market models; price determination in the market for aluminium; the estimation of dynamic disequilibrium models with rational expectations; and a comparison of forward markets and buffer stocks as commodity earnings stabilizers. A key feature of this stock is its development of the policy implications of theoretical and empirical work in the field of commodity economics. Most papers are accompanied by discussant's comments to draw out their technical and policy implications. The book's readership will include commodity economists, commodity market practitioners and policy analysis, as well as professionals and advanced students interested in the fields of applied econometrics, economic development and international trade.
Recent economic growth in China and other Asian countries has led to increased commodity demand which has caused price rises and accompanying price fluctuations not only for crude oil but also for the many other raw materials. Such trends mean that world commodity markets are once again under intense scrutiny. This book provides new insights into the modeling and forecasting of primary commodity prices by featuring comprehensive applications of the most recent methods of statistical time series analysis. The latter utilize econometric methods concerned with structural breaks, unobserved components, chaotic discovery, long memory, heteroskedasticity, wavelet estimation and fractional integration. Relevant tests employed include neural networks, correlation dimensions, Lyapunov exponents, fractional integration and rescaled range. The price forecasting involves structural time series trend plus cycle and cyclical trend models. Practical applications focus on the price behaviour of more than twenty international commodity markets.
This book collects together the basic documents of an approach to the theory and policy of the balance of payments developed in the 1970s. The approach marked a return to the historical traditions of international monetary theory after some thirty years of departure from them – a departure occasioned by the international collapse of the 1930s, the Keynesian Revolution and a long period of war and post-war reconstruction in which the international monetary system was fragmented by exchange controls, currency inconvertibility and controls over international trade and capital movements.
The NBER Macroeconomics Annual presents pioneering work in macroeconomics by leading academic researchers to an audience of public policymakers and the academic community. Each commissioned paper is followed by comments and discussion. This year's edition provides a mix of cutting-edge research and policy analysis on such topics as productivity and information technology, the increase in wealth inequality, behavioral economics, and inflation.
A timely publication as world leaders deliberate the causes of the latest bouts of food price volatility and search for solutions that address the recent velocity of financial, economic, political, demographic, and climatic change. As a collection compiled from a diverse group of economists, analysts, traders, institutions and policy formulators - comprising multiple methodologies and viewpoints - the book exposes the impact of volatility on global food security, with particular focus on the world's most vulnerable.
This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.