Inflation expectations and the stock-bond nexus in the US: hedging implications
Elham Kamal,
Naji Jalkh and
Elie Bouri
The European Journal of Finance, 2025, vol. 31, issue 6, 671-695
Abstract:
This paper first examines the impact of inflation expectations on the correlation and tail-dependence between stock and Treasury (corporate) bond markets in the US and then assesses the portfolio and hedging implications. Using dynamic C-vine copula models, the results show in several cases a shift in the stock-bond nexus after conditioning on the levels of inflation expectations. The average dynamic tail-dependence between stocks and 10- and 30-year Treasury bonds becomes positive in the post-Covid era. High inflation expectations intensify the average tail-dependence between stocks and mid-term corporate bonds since the Covid-19 outbreak, and between stock and Treasury bonds from early 2020 to the beginning of the conflict between Russia and Ukraine. A hedging analysis shows that the hedging effectiveness improves after taking into account the impact of inflation expectations on stock-bond nexus, especially in the post-Covid-19 subperiod. This hedging effectiveness sustains after changing the proxy of inflation expectations.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/1351847X.2024.2431503 (text/html)
Access to full text is restricted to subscribers.
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:taf:eurjfi:v:31:y:2025:i:6:p:671-695
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REJF20
DOI: 10.1080/1351847X.2024.2431503
Access Statistics for this article
The European Journal of Finance is currently edited by Chris Adcock
More articles in The European Journal of Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().