The Impact of Technology on Equity Markets: Empirical Evidence from APEC Markets
This paper investigates the dynamic and state-dependent synchronization between the global technology sector and the equity markets of 19 Asia-Pacific Economic Cooperation (APEC) member economies. Moving beyond traditional linear models that capture only average effects, we employ a Quantile-on-Quantile Regression (QQR) approach to analyze how this relationship varies across the full distributions of both technology and equity market returns. Using daily data from May 1, 2015, to September 12, 2024, our findings reveal a profoundly heterogeneous and asymmetric linkage. The results indicate that developed and tech-centric economies, such as the United States and Taiwan, exhibit strong positive co-movement, which intensifies during bull markets. Conversely, many commodity-driven and emerging economies, including Australia and Peru, display their strongest positive synchronization during market downturns, suggesting the technology index acts as a barometer for global risk sentiment. For instance, the marginal effect of technology on the Peruvian market is highest (0.193) in deep bear markets. Furthermore, we uncover significant asymmetries, as seen in Hong Kong, and clear evidence of decoupling in economies like Thailand. These findings demonstrate that market correlations are highly dynamic, challenging the assumptions of static relationships and providing crucial insights for international portfolio diversification and state-contingent risk management strategies.
Authors
- Rupinder Katoch (ORCID: https://orcid.org/0000-0003-3191-7930)
- Pankaj Kumar (ORCID: https://orcid.org/0000-0003-1906-9852)
- Samoon Khan (ORCID: https://orcid.org/0000-0001-6805-2470)
Institutions
- Lovely Professional University (IN)
Publication Details
- Journal
- International Journal of Accounting and Economics Studies
- Published
- 2025-10-03
- DOI
- https://doi.org/10.14419/tpaz2t53
- Primary Topic
- Corporate Finance and Governance
- Type
- article
- Field-Weighted Citation Impact
- 0.00