Time-varying return predictability and adaptive behavior in the U.S. commodity markets during COVID-19

Muhammad Naeem Shahid, Muhammad Umar Islam, Nafis Alam, Mohsin Ali

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The study investigates the time-varying efficiency of the four most commonly traded international commodities from the U.S. Chicago Board of Options Exchange (CBOE) over a more extended period as well as during COVID-19. The study also explores how adaptive behavior of returns induces profitable opportunities in the commodity markets. Daily returns of commodity indices (gold, silver, oil, metal) are divided into subsamples of six years, to apply a battery of linear/nonlinear tests. The study uncovers the linear and nonlinear serial dependence in returns from commodities and finds evidence of time-varying volatility, thus consistent with the Adaptive Market Hypothesis over the full sample period. Moreover, returns from all the commodities are highly volatile and predictable during COVID-19.

Original languageEnglish
Pages (from-to)59-80
Number of pages22
JournalInternational Journal of Economics and Management
Volume16
Issue numberS1
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • Adaptive market hypothesis
  • Commodities
  • Efficient market hypothesis
  • Linear prediction
  • Nonlinear prediction

Cite this