Abstract
This study investigates the tail risk transmissions across a diverse range of US commodity & tech-driven sector ETFs and the underlying US stock market by employing the CAViaR-based TVP-VAR methodology on daily data from January 01, 2019, to August 17, 2023. Findings reveal that Covid-19 triggered a notable surge in the total connectedness, consequently amplifying the tail risk transmissions within the system. Moreover, the S&P 500, AI&Robotics and fintech sector ETFs stand out as the primary risk transmitters, while cybersecurity and blockchain sector ETFs are risk receivers within the system, except for a notable shift during the peak of the pandemic. The pairwise results reveal limited risk transmissions between the S&P 500, AI&Robotics and fintech sector ETFs; however, both sector ETFs stand out as potential risk transmitters for the VIX index. In contrast to energy, agriculture and base metals sector ETFs, which are persistent risk receivers for both stock market indices and tech-driven sector ETFs, precious metals sector ETFs appear somewhat isolated and therefore offer a potential source of diversification among commodity sector ETFs. In sum, our findings offer valuable sectoral insights for effective risk management and portfolio diversification strategies in dynamic market conditions.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
