A Nonlinear Approach to Quantifying Investor Fear in Stock Markets of BRIC. (17th August 2022)
- Record Type:
- Journal Article
- Title:
- A Nonlinear Approach to Quantifying Investor Fear in Stock Markets of BRIC. (17th August 2022)
- Main Title:
- A Nonlinear Approach to Quantifying Investor Fear in Stock Markets of BRIC
- Authors:
- Asafo-Adjei, Emmanuel
Bossman, Ahmed
Boateng, Ebenezer
Owusu Junior, Peterson
Idun, Anthony Adu-Asare
Agyei, Samuel K.
Adam, Anokye Mohammed - Other Names:
- Li Yuxing Academic Editor.
- Abstract:
- 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.
- Is Part Of:
- Mathematical problems in engineering. Volume 2022(2022)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-17
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2022/9296973 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 23058.xml