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A Nonlinear Approach to Quantifying Investor Fear in Stock Markets of BRIC

Author

Listed:
  • Emmanuel Asafo-Adjei
  • Ahmed Bossman
  • Ebenezer Boateng
  • Peterson Owusu Junior
  • Anthony Adu-Asare Idun
  • Samuel K. Agyei
  • Anokye Mohammed Adam
  • Yuxing Li

Abstract

The information flow between BRIC and relevant volatilities constitutes a complex network, which needs comprehensive analysis. We provide a rigorous investigation of information flow among stock markets of BRIC and the US VIX in a frequency-domain paradigm. Henceforward, the variation mode decomposition-based entropy approach is employed for the examination of diverse investment horizons and market conditions. First, we find that under stressed market conditions (lower quantiles), significant negative information flow exists between the BRIC constituents and the BRIC composite index. Also, under benign market conditions, we reveal similar dynamics as found at the lower quantiles, which enhances diversification. However, during market booms, we document more positive information flow between the assets and relevant to the redeployment of portfolios. Second, at low probability events representing market stress, we document potential negative information flow amid the stock markets and the US VIX for most investment horizons. Notwithstanding, the US VIX has the potential of transmitting positive information to the stock markets. However, at high market performance, we find more positive information flow amid the BRIC markets and VIX, generally implying long-term efficiency. Investors, portfolio managers, risk managers, and policy-makers should be wary of the heterogeneous and adaptive behaviour of BRIC stock markets with the VIX.

Suggested Citation

  • Emmanuel Asafo-Adjei & Ahmed Bossman & Ebenezer Boateng & Peterson Owusu Junior & Anthony Adu-Asare Idun & Samuel K. Agyei & Anokye Mohammed Adam & Yuxing Li, 2022. "A Nonlinear Approach to Quantifying Investor Fear in Stock Markets of BRIC," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-20, August.
  • Handle: RePEc:hin:jnlmpe:9296973
    DOI: 10.1155/2022/9296973
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    Cited by:

    1. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "EU sectoral stocks amid geopolitical risk, market sentiment, and crude oil implied volatility: An asymmetric analysis of the Russia-Ukraine tensions," Resources Policy, Elsevier, vol. 82(C).
    2. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "Asymmetric effects of market uncertainties on agricultural commodities," Energy Economics, Elsevier, vol. 127(PB).

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