Geopolitical Risk and the Risk Spillover on the US Technology Firms: A Quantile Perspective
- Authors
- Wang, Deyong; Sun, Yizhong; Wang, Yishuo; Gao, Nan
- Issue Date
- Dec-2024
- Publisher
- Editura Academia de studii economice
- Keywords
- Connectedness Analysis; geopolitical risk; Quantile Vector Autoregression; technology firms
- Citation
- Economic Computation and Economic Cybernetics Studies and Research, v.59, no.2, pp 142 - 158
- Pages
- 17
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- Economic Computation and Economic Cybernetics Studies and Research
- Volume
- 59
- Number
- 2
- Start Page
- 142
- End Page
- 158
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/79368
- DOI
- 10.24818/18423264/59.2.25.09
- ISSN
- 0424-267X
1842-3264
- Abstract
- This article employs the quantile vector autoregression (QVAR) Connectedness method to investigate the impact of geopolitical risk on major US technology firms under various market conditions. The findings reveal that: 1) the overall Connectedness index peaks at 63.76% during market uptrends and reaches a low of 38.61% at the median state; 2) Microsoft and Nvidia act as net risk transmitters, whereas Apple and the geopolitical risk index serve as net risk receivers; and 3) during the COVID-19 period in 2020, Connectedness significantly increased across all quantile levels, while a differentiated pattern emerged during the Russia-Ukraine war in 2022. The main contributions of this study include: firstly, it is the first to examine the asymmetric risk linkages between geopolitical risk and US technology firms; secondly, it enriches existing theories through both static and dynamic association analyses; and thirdly, it offers valuable risk management insights for investors. These results have important implications for portfolio management and policy formulation. © 2024 The Authors. Published by Editura ASE.
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Collections - 학과간협동과정 > 정치경제학과 > Journal Articles

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