#3085. Examining the effects of news and media sentiments on volatility and correlation: Evidence from the UK
December 2026 | publication date |
Proposal available till | 30-05-2025 |
4 total number of authors per manuscript | 3510 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Finance;
Economics and Econometrics; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
The article examines the impact of news and sentiment in social networks on the volatility of the stock and bond markets and their dynamic correlation of returns over the period from 1998 to 20XX. The results show that news sentiment has a stronger effect on volatility, while social media has a stronger effect on correlation.
Keywords:
Principal Component Analysis; Sentiment; Stock-bond correlation; Volatility
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