Twitter policy uncertainty and stock returns in South Africa: Evidence from time‐varying Granger causality
Kingstone Nyakurukwa and
Yudhvir Seetharam
Journal of Forecasting, 2024, vol. 43, issue 7, 2675-2684
Abstract:
The study uses time‐varying Granger causality models that incorporate two proxies for Twitter policy uncertainty and South African returns stock returns to investigate the causal relationship between Twitter uncertainty and South African stock returns for the period between 2017 and 2023. The findings demonstrate that Twitter Market Uncertainty and Twitter Economic Uncertainty mostly lead JSE returns around the start of the COVID‐19 pandemic and the Russia‐Ukranainan war respectively. The findings also show significant out‐of‐sample forecasts using uncertainty indexes from Twitter.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/for.3148
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jforec:v:43:y:2024:i:7:p:2675-2684
Access Statistics for this article
Journal of Forecasting is currently edited by Derek W. Bunn
More articles in Journal of Forecasting from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().