Complexity of agricultural commodity cycle: A chaotic time series analysis

Kenshi Sakai, Shunsuke Managi, Katsuhiko Demura

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Most empirical investigations of agricultural markets have been conducted using linear models. Therefore, nonlinear dynamic patterns of the market cannot be predicted based on these models under any circumstances. Consequently, little is known about the role of nonlinear dynamics and the whether we can predict the market both for short- and long-term in agriculture. We utilise the real world data of piglet market data in Japan to understand nonlinear dynamics. The post-second oil crisis data showed that both short- and long-term predictions were possible with a high degree of accuracy. The pre-crisis data showed the possibility of short-term prediction, but the impossibility of long-term prediction. The results implied that the dynamics were chaotic in the pre-crisis period. Since government fixed price system was introduced after the second oil crisis, we conclude that government policy contribute to stabilise the market.

Original languageEnglish
Pages (from-to)266-287
Number of pages22
JournalInternational Journal of Agricultural Resources, Governance and Ecology
Volume3
Issue number3-4
Publication statusPublished - Dec 1 2004

Fingerprint

time series analysis
agricultural products
commodity
markets
market
prediction
agricultural market
oil
chaotic dynamics
oils
piglets
agriculture
linear models
Japan

All Science Journal Classification (ASJC) codes

  • Ecology
  • Agronomy and Crop Science
  • Management, Monitoring, Policy and Law

Cite this

Complexity of agricultural commodity cycle : A chaotic time series analysis. / Sakai, Kenshi; Managi, Shunsuke; Demura, Katsuhiko.

In: International Journal of Agricultural Resources, Governance and Ecology, Vol. 3, No. 3-4, 01.12.2004, p. 266-287.

Research output: Contribution to journalArticle

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