Modeling and Forecasting Primary Commodity Prices (Paperback)

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.

General

Imprint:	Routledge
Country of origin:	United Kingdom
Release date:	June 2019
First published:	2006
Authors:	Walter C. Labys
Dimensions:	234 x 156 x 29mm (L x W x T)
Format:	Paperback
Pages:	264
ISBN-13:	978-1-138-38369-2
Categories:	Books > Business & Economics > Finance & accounting > General Books > Business & Economics > Business & management > Business strategy Books > Business & Economics > Economics > Macroeconomics > Monetary economics Books > Business & Economics > Industry & industrial studies > Primary industries > Agriculture & related industries Promotions
LSN:	1-138-38369-4
Barcode:	9781138383692

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