Oct 2026· Review of Behavioral Finance· 0 citations· 65 references
Abstract
This study investigates the behavioral determinants of financial market connectedness in the Gulf Cooperation Council (GCC) during the first wave of COVID-19. It examines whether the Chicago Board Options Exchange Volatility Index (VIX), regional investor attention measured via Google Trends, and their interaction are associated with changes in connectedness.
Time-varying parameter vector autoregression (TVP-VAR) is used to estimate the Total Connectedness Index (TCI) across GCC stock markets from (2018–2022). Moreover, behavioral regressions over the first wave (January–August 2020) assess the role of VIX, Google Trends-based regional attention (GTR), and their interaction.
TCI nearly doubled from 31.94% during the pre-COVID period to 64.25% throughout the crisis. After controlling for oil volatility, neither VIX nor GTR was significant. Notwithstanding, their interaction is positive and statistically significant, nearly doubling the model's explanatory power. Given fundamental controls, Granger causality tests show unidirectional precedence from GTR to TCI in bivariate specifications. Results hold despite the exclusion of March 2020 and the addition of COVID-19 case growth.
This study integrates TVP-VAR connectedness with behavioral finance theory in GCC markets. Crucially, it introduces Google Trends as a regional attention measure, and documents an attention–uncertainty interaction consistent with behavioral amplification through which connectedness intensifies when both channels are simultaneously elevated.
This study aims to understand how major US tariff-policy announcements have influenced the prices of Indian equities. The study further explores conditional volatility and financial transmission channels from January 2018 to June 2026. This study employs a combined event-study framework. Generalized Autoregressive Cond...
Avinash Holihosur, Melita Simoes, Laxman R. Yaligar et al.· International Journal of Lat...· 0 citations
This study examines whether correlation dynamics among the CSI 300, BIST 100, and S&P 500 improve hedging performance under alternative currency denominations and market–clock alignments, including during the geopolitical event window beginning on 28 February 2026. Market-specific GARCH models and CCC, DCC, and asymmet...
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This study investigates the time-varying interactions between financial stress and selected financial assets within the Diebold–Yilmaz connectedness framework. Using a rolling-window VAR model combined with generalized forecast error variance decompositions, the analysis examines how shock transmission mechanisms acros...
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This study examines the dynamic connectedness between the daily volatility series of global volatility indices (VIX, OVX, and GVZ) and those of the Magnificent Seven companies using data from 22 May 2012 to 25 June 2026. The analysis employs the time-varying parameter vector autoregressive (TVP-VAR) connectedness frame...
This study examines the relationship between market attention and price movements in Bitcoin and the S&P 500 Shariah Index from 2015 to 2025. Using Google Search Volume (GSV) as a proxy for online attention, the analysis evaluates how attention is associated with asset-price dynamics alongside selected macro-financial...
Labeeba Ahmed, M. Shah· International Journal of Isl...· 0 citations
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