Author
Listed:
- Mosab I Tabash
- Umaid A Sheikh
- David Roubaud
- Emilios Galariotis
- Beysül Aytaç
Abstract
The SVB implosion could trigger a domino effect, shaking confidence in U.S. banks. This research estimates the response of good and bad cumulative abnormal returns (G-CARs, B-CARs) on the event day, pre-event and post-event periods, using financial stress, oil, geopolitical and equity uncertainty as controls. We also examine the moderating impact of the SVB implosion and U.S. financial stress indices (US-FSI) on the good and bad dynamic conditional correlations between 132 U.S. sectoral pairings. Additionally, we assess the best portfolio distribution to determine if short positions in specific U.S. sectors offer better protection against SVB’s long-term volatility using the DCC-GARCH-t copulas. Overall findings suggest that B-CARs are more adversely affected than G-CARs. Therefore, investors need to consider bearish and bullish market conditions before devising hedging strategies. The Financials, Health Care, Industrial, Materials, Oil and Gas, Real Estate and Transportation sectors of U.S. experienced significant losses due to higher B-CARs around the SVB default event. Furthermore, the SVB default’s moderating impact on the U.S. sectoral stock returns is more pronounced during bearish market conditions compared to bullish ones following a Black Swan event. This suggests a differential moderating impact of SVB on good and bad conditional connectedness and a reduction in diversification benefits.
Suggested Citation
Mosab I Tabash & Umaid A Sheikh & David Roubaud & Emilios Galariotis & Beysül Aytaç, 2025.
"Exploring the influence of Silicon Valley Bank default and U.S. financial stress on sectoral interactions and effective hedging strategies,"
Applied Economics, Taylor & Francis Journals, vol. 57(49), pages 8121-8145, October.
Handle:
RePEc:taf:applec:v:57:y:2025:i:49:p:8121-8145
DOI: 10.1080/00036846.2024.2396085
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:57:y:2025:i:49:p:8121-8145. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.