Exploring tail reliance and interconnectedness: GCC stock markets, sustainable investments, and renewable energy cryptos through Q‐VAR analysis
Abstract This inspection examines the extreme tail reliance between the GCC stock market indices, sustainable investments, and renewable energy cryptos employing the Q‐VAR approach. For this reason, this inspection incorporated global uncertainties, which include the volatility index (VIX) and CBOE crude oil volatility (OVX), to determine their significant impacts on the magnitude and strength of the trend relationship between multiple asset classes. In contrast, to better understand the robustness of hedging potential of selected eco‐resilient investments in times of instability, this analysis employs two sustainable investment measures: the Dow Jones Sustainability Index (DJSI) and the S&P Green Bond Index (SPGBI).
Authors
- Florin Radu (ORCID: https://orcid.org/0000-0003-2153-4100)
- Malik Shahzad Shabbir (ORCID: https://orcid.org/0000-0003-1393-2897)
- Mohammad A. Jaradat (ORCID: https://orcid.org/0000-0002-5655-0664)
- Yadong Liu (ORCID: https://orcid.org/0000-0002-8238-2932)
- Raul Adrian Lile
- Qudasia Habib
- Muhammad Sagheer
- Breaz Teodora Odette
- Violeta Hazaparu
- Ciolomic Ioana Andreea
Institutions
- University of Lahore (PK)
- University of Health Sciences Lahore (PK)
- Bogdan Voda University (RO)
- 1 Decembrie 1918 University (RO)
- Universitatea George Bacovia Bacau (RO)
- Shandong Institute of Commerce & Technology (CN)
- ILMA University (PK)
- Chiang Mai University (TH)
- Aurel Vlaicu University of Arad (RO)
- University of Gujrat (PK)
Publication Details
- Journal
- Natural Resource Modeling
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1111/nrm.12411
- Citations
- 6
- Primary Topic
- Market Dynamics and Volatility
- Type
- article
- Field-Weighted Citation Impact
- 18.79