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Forecasting Commodity Prices
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Book Synopsis Forecasting commodity prices using long-short-term memory neural networks by : Ly, Racine
Download or read book Forecasting commodity prices using long-short-term memory neural networks written by Ly, Racine and published by Intl Food Policy Res Inst. This book was released on 2021-02-10 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper applies a recurrent neural network (RNN) method to forecast cotton and oil prices. We show how these new tools from machine learning, particularly Long-Short Term Memory (LSTM) models, complement traditional methods. Our results show that machine learning methods fit reasonably well with the data but do not outperform systematically classical methods such as Autoregressive Integrated Moving Average (ARIMA) or the naïve models in terms of out of sample forecasts. However, averaging the forecasts from the two type of models provide better results compared to either method. Compared to the ARIMA and the LSTM, the Root Mean Squared Error (RMSE) of the average forecast was 0.21 and 21.49 percent lower, respectively, for cotton. For oil, the forecast averaging does not provide improvements in terms of RMSE. We suggest using a forecast averaging method and extending our analysis to a wide range of commodity prices.
Book Synopsis Modeling and Forecasting Primary Commodity Prices by : Walter C. Labys
Download or read book Modeling and Forecasting Primary Commodity Prices written by Walter C. Labys and published by Routledge. This book was released on 2017-03-02 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Commodity Prices and Markets by : Takatoshi Ito
Download or read book Commodity Prices and Markets written by Takatoshi Ito and published by University of Chicago Press. This book was released on 2011-03 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fluctuations of commodity prices, most notably of oil, capture considerable attention and have been tied to important economic effects. This book advances our understanding of the consequences of these fluctuations, providing both general analysis and a particular focus on the countries of the Pacific Rim.
Book Synopsis Forecasting Commodity Prices by : Chakriya Bowman
Download or read book Forecasting Commodity Prices written by Chakriya Bowman and published by . This book was released on 2006 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper assesses the performance of three types of commodity price forecasts--those based on judgment, those relying exclusively on historical price data, and those incorporating prices implied by commodity futures. For most of the 15 commodities in the sample, spot and futures prices appear to be nonstationary and to form a cointegrating relation. Spot prices tend to move toward futures prices over the long run, and error-correction models exploiting this feature produce more accurate forecasts. The analysis indicates that on the basis of statistical- and directional-accuracy measures, futures-based models yield better forecasts than historical-data-based models or judgment, especially at longer horizons.
Book Synopsis Forecasting Commodity Prices by : Harry Jiler
Download or read book Forecasting Commodity Prices written by Harry Jiler and published by . This book was released on 1975 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides background to help forecasting price movements in twenty different commodity future markets and studies the price forecasting with the aid of charts.
Book Synopsis Forecasting Commodity Markets by : Julian Roche
Download or read book Forecasting Commodity Markets written by Julian Roche and published by McGraw-Hill. This book was released on 1995 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Julian Roche explains every major method of forecasting markets; fundamental analysis, technical analysis, & econometric analysis. Roche discusses both the underlying theory & current application of each method, as well as pricing information on data sources & software. Moreover, the book evaluates the advantages & disadvantages of each approach & demonstrate how to combine approaches to produce an optimum forecasting method. Specific topics include: The history of fundamental, technical, & econometric analysis; Forecasting theories & applications; Accuracy of forecasting methods; The role of forecasting in trading decisions; The future of forecasting.
Book Synopsis Forecasting Commodity Prices by : Chakriya Bowman
Download or read book Forecasting Commodity Prices written by Chakriya Bowman and published by INTERNATIONAL MONETARY FUND. This book was released on 2004-03-01 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper assesses the performance of three types of commodity price forecasts—those based on judgment, those relying exclusively on historical price data, and those incorporating prices implied by commodity futures. For most of the 15 commodities in the sample, spot and futures prices appear to be nonstationary and to form a cointegrating relation. Spot prices tend to move toward futures prices over the long run, and error-correction models exploiting this feature produce more accurate forecasts. The analysis indicates that on the basis of statistical- and directional-accuracy measures, futures-based models yield better forecasts than historical-data-based models or judgment, especially at longer horizons.
Book Synopsis Commodity Price Forecasts and Futures Prices by : Boum-Jong Choe
Download or read book Commodity Price Forecasts and Futures Prices written by Boum-Jong Choe and published by World Bank Publications. This book was released on 1990 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forecasting Commodity Prices by : Harry Jiler
Download or read book Forecasting Commodity Prices written by Harry Jiler and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Rational Expectations and Commodity Price Forecasts by : Boum-Jong Choe
Download or read book Rational Expectations and Commodity Price Forecasts written by Boum-Jong Choe and published by World Bank Publications. This book was released on with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forecasting Commodity Prices by : Harry Jiler
Download or read book Forecasting Commodity Prices written by Harry Jiler and published by . This book was released on 1980 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Guide to Commodity Price Forecasting by : Commodity Research Bureau (U.S.)
Download or read book Guide to Commodity Price Forecasting written by Commodity Research Bureau (U.S.) and published by . This book was released on 1965 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Do Commodity Futures Help Forecast Spot Prices? by : Mr.David A Reichsfeld
Download or read book Do Commodity Futures Help Forecast Spot Prices? written by Mr.David A Reichsfeld and published by International Monetary Fund. This book was released on 2011-11-01 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: We assess the spot price forecasting performance of 10 commodity futures at various horizons up to two years and test whether this performance is affected by market conditions. We reject efficient markets based on in-sample tests but, out-of-sample, we find that the forecast from the futures market is hard to beat. We find that the forecasting performance of futures does not depend on the slope of the futures curve, in contrast to the predictions of well-known models of commodity markets. We also find futures' forecasting performance to be invariant to whether prices are in an upswing or downswing, casting doubt on aspersions that uninformed investors participating during bull markets impede the price discovery process.
Book Synopsis World Commodity Prices as a Forecasting Tool for Retail Prices by : Mr.John Thornton
Download or read book World Commodity Prices as a Forecasting Tool for Retail Prices written by Mr.John Thornton and published by International Monetary Fund. This book was released on 1997-06-01 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates, using cointegration and Granger-causality techniques, whether a stable long-run co-movement exists between world commodity prices and U.K. retail prices, and whether short-run changes in commodity prices convey information about future movements in U.K. retail prices. The results show noncointegration and no unidirectional Granger causality from commodity to retail prices. These findings suggest that little may be gained from using developments in commodity prices to forecast movements in retail prices in the inflation-targeting framework followed by the U.K. monetary authorities.
Book Synopsis Forecasting Commodity Prices Using Long-short-term Memory Neural Networks by : Racine Ly
Download or read book Forecasting Commodity Prices Using Long-short-term Memory Neural Networks written by Racine Ly and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Commodity Models for Forecasting and Policy Analysis by : Walter C. Labys
Download or read book Commodity Models for Forecasting and Policy Analysis written by Walter C. Labys and published by Routledge. This book was released on 1984 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Isabelle Piot-Lepetit Publisher :Springer Science & Business Media ISBN 13 :1441976345 Total Pages :238 pages Book Rating :4.4/5 (419 download)
Book Synopsis Methods to Analyse Agricultural Commodity Price Volatility by : Isabelle Piot-Lepetit
Download or read book Methods to Analyse Agricultural Commodity Price Volatility written by Isabelle Piot-Lepetit and published by Springer Science & Business Media. This book was released on 2011-06-10 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the issue of price volatility in agricultural commodities markets and how this phenomenon has evolved in recent years. The factors underlying the price spike of 2007-08 appear to be global and macroeconomic in nature, including the rapid growth in demand by developing countries, the international financial crisis, and exchange rate movements. Some of these factors are new, appearing as influences on price volatility only in the last decade. Although volatility has always been a feature of agricultural commodity markets, the evidence suggests that volatility has increased in certain commodity markets. A growing problem is that agricultural price shocks and volatility disrupt agricultural markets, economic incentives and incomes. With increased globalization and integration of financial and energy markets with agricultural commodity markets, the relationships between markets are expanding and becoming more complex. When a crisis such as a regional drought, food safety scare or a financial crisis hits a particular market, policy-makers often do not know the extent to which it will impact on other markets and affect producer, consumer and trader decisions. Including contributions from experts at the World Bank, the Food and Agriculture Organization of the United Nations, the USDA, and the European Commission, the research developed throughout the chapters of this book is based on current methodologies that can be used to analyze price volatility and provide directions for understanding this volatility and the development of new agricultural policies. The book highlights the challenges facing policy makers in dealing with the changing nature of agricultural commodities markets, and offers recommendations for anticipating price movements and managing their consequences. It will be a practical guide for both present and future policy-makers in deciding on potential price-stabilizing interventions, and will also serve as a useful resource for researchers and students in agricultural economics.
