Volatility spillovers, structural breaks and uncertainty in technology sector markets

Linn Arnell, Emma Engström, Gazi Uddin, Md. Bokhtiar Hasan and Sang Hoon Kang ()
Additional contact information
Linn Arnell: Landshypotek Bank
Emma Engström: Linköping University
Sang Hoon Kang: Pusan National University

Financial Innovation, 2023, vol. 9, issue 1, 1-31

Abstract: Abstract This study uses the dynamic conditional correlation to investigate how technology subsector stocks interact with financial assets in the face of economic and financial uncertainty. Our results suggest that structural breaks have diverse effects on financial asset connectedness and that the level of bond linkage increases when the trend breaks. We see a growing co-movement between the technology sector and major financial assets when uncertainty is considered. Overall, our findings indicate that the connectedness response varies depending on the type of uncertainty shock.

Keywords: Technology sector; Diversification; Dynamic conditional correlation; Uncertainty; Structural breaks (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1186/s40854-023-00502-5 Abstract (text/html)

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:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-023-00502-5

Ordering information: This journal article can be ordered from
http://www.springer. ... nomics/journal/40589

DOI: 10.1186/s40854-023-00502-5

Access Statistics for this article

Financial Innovation is currently edited by J. Leon Zhao and Zongyi

More articles in Financial Innovation from Springer, Southwestern University of Finance and Economics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().