EconPapers    
Economics at your fingertips  
 

Dynamic Interlinkages between the Twitter Uncertainty Index and the Green Bond Market: Evidence from the Covid-19 Pandemic and the Russian-Ukrainian Conflict

Onur Polat (), Berna Doğan Başar and İbrahim Halil Ekşi
Additional contact information
Onur Polat: Bilecik Şeyh Edebali University
Berna Doğan Başar: Gaziantep University
İbrahim Halil Ekşi: Gaziantep University

Computational Economics, 2025, vol. 65, issue 5, No 17, 2873-2889

Abstract: Abstract This study examines the time-varying connectedness between green bonds, Twitter-based uncertainty indices, and the S&P 500 Composite Index. We implement the time- and frequency-based connectedness methodologies and employ data between April 1, 2014 and April 21, 2023. Our findings suggest that (i) connectedness indices robustly capture prominent incidents during the episode; (ii) Twitter-based uncertainty indices are the highest transmitters of return shocks; (iii) net return spillovers transmitted by the S&P 500 Index sharply increased in 2020:1–2020:3, stemmed by the stock market crash in February 2020; and (iv) Twitter-based uncertainty indices showed significant net spillovers in July and November 2021.

Keywords: Green bonds; twitter; Based uncertainty measures; frequency; Based connectedness network; TVP; VAR (search for similar items in EconPapers)
JEL-codes: D81 G12 G15 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10614-024-10666-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:kap:compec:v:65:y:2025:i:5:d:10.1007_s10614-024-10666-6

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-024-10666-6

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-22
Handle: RePEc:kap:compec:v:65:y:2025:i:5:d:10.1007_s10614-024-10666-6