Modeling and Forecasting Primary Commodity Prices

By: Walter C. Labys

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Hardcover | 28 October 2006 | Edition Number 1

At a Glance

Hardcover
264 Pages

Edition Type
New edition

Dimensions(cm)
23.4 x 15.6 x 1.6

Hardcover

$336.00

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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.

Industry Reviews

'Modern statistical techniques have greatly enlarged the range and complexity of analysis that can be applied to commodity market studies. Labys pioneers by making the leap from traditional structural models to the broad range of advanced time series methods. This is the first and only book on the frontiers of commodity market modeling.' F. Gerard Adams, University of Pennsylvania, USA

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