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Do commodity assets hedge uncertainties? What we learn from the recent turbulence period?
Hasan, Md Bokhtiar; Hossain, Md Naiem; Junttila, Juha; Uddin, Gazi Salah; Rabbani, Mustafa Raza.
  • Hasan MB; Department of Finance and Banking, Islamic University, Kushtia, 7003 Bangladesh.
  • Hossain MN; Department of Finance and Banking, Islamic University, Kushtia, 7003 Bangladesh.
  • Junttila J; School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland.
  • Uddin GS; Department of Management and Engineering, Linköping University, Linköping, Sweden.
  • Rabbani MR; Department of Economics and Finance, College of Business Administration, University of Bahrain, Sakhir, Bahrain.
Ann Oper Res ; : 1-34, 2022 Sep 12.
Article in English | MEDLINE | ID: covidwho-2027540
ABSTRACT
This study analyses the impact of different uncertainties on commodity markets to assess commodity markets' hedging or safe-haven properties. Using time-varying dynamic conditional correlation and wavelet-based Quantile-on-Quantile regression models, our findings show that, both before and during the COVID-19 crisis, soybeans and clean energy stocks offer strong safe-haven opportunities against cryptocurrency price uncertainty and geopolitical risks (GPR). Soybean markets weakly hedge cryptocurrency policy uncertainty, US economic policy uncertainty, and crude oil volatility. In addition, GSCI commodity and crude oil also offer a weak safe-haven property against cryptocurrency uncertainties and GPR. Consistent with earlier studies, our findings indicate that safe-haven traits can alter across frequencies and quantiles. Our findings have significant implications for investors and regulators in hedging and making proper decisions, respectively, under diverse uncertain circumstances.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Ann Oper Res Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Ann Oper Res Year: 2022 Document Type: Article