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Predictability in Commodity Markets: Evidence from More Than a Century

  • Fabian Hollstein*
  • , Marcel Prokopczuk
  • , Björn Tharann
  • , Chardin Wese Simen
  • *Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer review

Abstract

Using more than 140 years of data, we comprehensively analyze the predictive power of a broad set of business cycle variables for risk and return in commodity spot markets. We find that industrial production growth and inflation are the strongest predictors for future commodity returns. Several further variables help predict future commodity volatilities. The introduction of derivatives generally reduces the predictability in the most active commodity markets but increases the predictability in others. Thus, derivatives likely make markets more efficient, but also attract most of the price discovery activity. Commodity spot volatilities generally rise after futures introduction.

Original languageEnglish
Article number100171
JournalJournal of Commodity Markets
Volume24
E-pub ahead of print19 Jan 2021
DOIs
Publication statusPublished - Dec 2021

Keywords

  • Business cycle
  • Commodities
  • Derivatives introduction
  • Return predictability
  • Volatility predictability

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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