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Multi‐Frequency Information Flows between Global Commodities and Uncertainties: Evidence from COVID‐19 Pandemic

Author

Listed:
  • Emmanuel Asafo-Adjei
  • Siaw Frimpong
  • Peterson Owusu Junior
  • Anokye Mohammed Adam
  • Ebenezer Boateng
  • Robert Ofori Abosompim

Abstract

Owing to the adverse impact of the COVID‐19 pandemic on world economies, it is expected that information flows between commodities and uncertainties have been transformed. Accordingly, the resulting twisted risk among commodities and related uncertainties is presumed to rise during stressed market conditions. Therefore, investors feel pressured to find safe haven investments during the pandemic. For this reason, we model a mixture of asymmetric and non‐linear bi‐directional causality between global commodities and uncertainties at different frequencies through the information flow theory. Consequently, we utilise the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and the Rényi effective transfer entropy techniques to establish the dynamic flow of information. The intrinsic mode functions (IMFs) from the CEEMDAN are carefully extracted into multi‐frequencies through cluster analysis to reconstruct the series into high, medium, and low frequencies in addition to the residue. We utilise daily data from December 31st, 2019, to March 31st, 2021, to provide insights into the COVID‐19 pandemic. The correlation coefficients and variances demonstrate that the high frequency (IMFs 1–4) which measures the short‐term dynamics is the dominant frequency, suggesting short‐lived market fluctuations relative to real economic growth for institutional investors. Moreover, outcomes from the multi‐frequency entropy indicate a negative bi‐directional causality of information flow between global commodities and uncertainties, especially in the long term. Generally, the findings present pertinent inferences for portfolio diversification, policy decisions, and risk management schemes for global commodities and markets volatilities. We, therefore, advocate that market volatilities act as effective hedges for global commodities, and they clearly act as balancing assets rather than substitutes in the long‐term dynamics of the COVID‐19 pandemic. Investors who delayed in investing within financial markets of commodities and market volatilities are likely to minimise their portfolio risks.

Suggested Citation

  • Emmanuel Asafo-Adjei & Siaw Frimpong & Peterson Owusu Junior & Anokye Mohammed Adam & Ebenezer Boateng & Robert Ofori Abosompim, 2022. "Multi‐Frequency Information Flows between Global Commodities and Uncertainties: Evidence from COVID‐19 Pandemic," Complexity, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:6499876
    DOI: 10.1155/2022/6499876
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    as
    1. Zhang, Xun & Lai, K.K. & Wang, Shou-Yang, 2008. "A new approach for crude oil price analysis based on Empirical Mode Decomposition," Energy Economics, Elsevier, vol. 30(3), pages 905-918, May.
    2. Hyman P. Minsky, 1975. "Financial Resources in a Fragile Financial Environment," Challenge, Taylor & Francis Journals, vol. 18(3), pages 6-13, July.
    3. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    4. Boateng, Ebenezer & Adam, Anokye M. & Junior, Peterson Owusu, 2021. "Modelling the heterogeneous relationship between the crude oil implied volatility index and African stocks in the coronavirus pandemic," Resources Policy, Elsevier, vol. 74(C).
    5. Hasan, Md. Bokhtiar & Hassan, M. Kabir & Rashid, Md. Mamunur & Alhenawi, Yasser, 2021. "Are safe haven assets really safe during the 2008 global financial crisis and COVID-19 pandemic?," Global Finance Journal, Elsevier, vol. 50(C).
    6. Kumar, Suresh & Choudhary, Sangita & Singh, Gurcharan & Singhal, Shelly, 2021. "Crude oil, gold, natural gas, exchange rate and indian stock market: Evidence from the asymmetric nonlinear ARDL model," Resources Policy, Elsevier, vol. 73(C).
    7. Anokye M. Adam & Kwabena Kyei & Simiso Moyo & Ryan Gill & Emmanuel N. Gyamfi, 2022. "Multifrequency network for SADC exchange rate markets using EEMD-based DCCA," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 145-166, January.
    8. Fijorek, Kamil & Jurkowska, Aleksandra & Jonek-Kowalska, Izabela, 2021. "Financial contagion between the financial and the mining industries – Empirical evidence based on the symmetric and asymmetric CoVaR approach," Resources Policy, Elsevier, vol. 70(C).
    9. Robert S. Pindyck, 2004. "Volatility and commodity price dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(11), pages 1029-1047, November.
    10. Yilanci, Veli & Kilci, Esra N., 2021. "The role of economic policy uncertainty and geopolitical risk in predicting prices of precious metals: Evidence from a time-varying bootstrap causality test," Resources Policy, Elsevier, vol. 72(C).
    11. Russell P. Robins & Geoffrey Peter Smith, 2017. "On Unmodeled Breaks in the Turn of the Year, Turn of the Month, and January Effects," The Financial Review, Eastern Finance Association, vol. 52(4), pages 725-747, November.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. Jeffrey L. Callen & Mozaffar Khan & Hai Lu, 2013. "Accounting Quality, Stock Price Delay, and Future Stock Returns," Contemporary Accounting Research, John Wiley & Sons, vol. 30(1), pages 269-295, March.
    14. Naeem, Muhammad Abubakr & Qureshi, Fiza & Arif, Muhammad & Balli, Faruk, 2021. "Asymmetric relationship between gold and Islamic stocks in bearish, normal and bullish market conditions," Resources Policy, Elsevier, vol. 72(C).
    15. Peterson Owusu Junior & Anokye M. Adam & George Tweneboah & David McMillan, 2020. "Connectedness of cryptocurrencies and gold returns: Evidence from frequency-dependent quantile regressions," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1804037-180, January.
    16. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Commodity futures returns and policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 364-383.
    17. Serhan Cevik & Belma Öztürkkal, 2021. "Contagion of fear: Is the impact of COVID‐19 on sovereign risk really indiscriminate?," International Finance, Wiley Blackwell, vol. 24(2), pages 134-154, August.
    18. Verrecchia, Robert E., 1980. "The rapidity of price adjustments to information," Journal of Accounting and Economics, Elsevier, vol. 2(1), pages 63-92, March.
    19. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    20. Hyman P. Minsky, 1986. "The Evolution of Financial Institutions and the Performance of the Economy," Journal of Economic Issues, Taylor & Francis Journals, vol. 20(2), pages 345-353, June.
    21. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    22. Dimpfl, Thomas & Peter, Franziska J., 2014. "The impact of the financial crisis on transatlantic information flows: An intraday analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 1-13.
    23. Luu Duc Huynh, Toan, 2020. "The effect of uncertainty on the precious metals market: New insights from Transfer Entropy and Neural Network VAR," Resources Policy, Elsevier, vol. 66(C).
    24. Yuriy Gorodnichenko & Michael Weber, 2016. "Are Sticky Prices Costly? Evidence from the Stock Market," American Economic Review, American Economic Association, vol. 106(1), pages 165-199, January.
    25. Shrabani Saha & Anindya Sen & Christine Smith-Han & Dennis Wesselbaum, 2021. "Did Brexit change asset co-movements?," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 14(1), pages 43-55, February.
    26. Siaw Frimpong & Emmanuel N. Gyamfi & Zangina Ishaq & Samuel Kwaku Agyei & Daniel Agyapong & Anokye M. Adam & François Pérés, 2021. "Can Global Economic Policy Uncertainty Drive the Interdependence of Agricultural Commodity Prices? Evidence from Partial Wavelet Coherence Analysis," Complexity, Hindawi, vol. 2021, pages 1-13, June.
    27. Raza, Syed Ali & Shah, Nida & Shahbaz, Muhammad, 2018. "Does economic policy uncertainty influence gold prices? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 57(C), pages 61-68.
    28. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    29. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    30. Peterson Owusu Junior & Siaw Frimpong & Anokye M. Adam & Samuel K. Agyei & Emmanuel N. Gyamfi & Daniel Agyapong & George Tweneboah, 2021. "COVID-19 as Information Transmitter to Global Equity Markets: Evidence from CEEMDAN-Based Transfer Entropy Approach," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-19, August.
    31. Yaxian Lu & Longguang Yang & Lihong Liu, 2019. "Volatility Spillovers between Crude Oil and Agricultural Commodity Markets since the Financial Crisis," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    32. Hyman P. Minsky, 1992. "The Financial Instability Hypothesis," Economics Working Paper Archive wp_74, Levy Economics Institute.
    33. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
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    1. Emmanuel Asafo-Adjei & Anokye Mohammed Adam & Peterson Owusu Junior & Patrick Kwashie Akorsu & Clement Lamboi Arthur, 2022. "A CEEMDAN‐Based Entropy Approach Measuring Multiscale Information Flow between Macroeconomic Conditions and Stock Returns of BRICS," Complexity, John Wiley & Sons, vol. 2022(1).
    2. Zynobia Barson & Peterson Owusu Junior & Anokye M. Adam & Emmanuel Asafo-Adjei, 2022. "Connectedness between Gold and Cryptocurrencies in COVID‐19 Pandemic: A Frequency‐Dependent Asymmetric and Causality Analysis," Complexity, John Wiley & Sons, vol. 2022(1).

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