Modeling and forecasting primary commodity prices

著者

書誌事項

Modeling and forecasting primary commodity prices

Walter C. Labys ; with a foreword by Clive W.J. Granger

Ashgate, c2006

  • : alk. paper

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注記

Includes bibliographical references (p. [201]-235) and index

HTTP:URL=http://www.loc.gov/catdir/toc/ecip069/2006005845.html Information=Table of contents only

内容説明・目次

内容説明

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.

目次

  • Contents: Introduction
  • History of Commodity Price Analysis. Long Run Price Movements: Identifying trends and breaks
  • Convergence of commodity prices. Medium Run Price Movements: Identifying price cycles
  • Business cycle impacts. Short Run Price Movements: Color of commodity prices
  • Wavelet models in the time frequency domain. Price Forecasting: Noisy chaotic dynamics
  • Structural forecasting models
  • Prospects for the future
  • Appendix: resources for future research
  • Bibliography
  • Index.

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