Geopolitical Risk and the Risk Spillover on the US Technology Firms: A Quantile Perspective

  • Wang, Deyong
  • Sun, Yizhong
  • Wang, Yishuo
  • Gao, Nan
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초록

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.

키워드

Connectedness Analysisgeopolitical riskQuantile Vector Autoregressiontechnology firms
제목
Geopolitical Risk and the Risk Spillover on the US Technology Firms: A Quantile Perspective
저자
Wang, DeyongSun, YizhongWang, YishuoGao, Nan
DOI
10.24818/18423264/59.2.25.09
발행일
2025-00
유형
Article
저널명
Economic Computation and Economic Cybernetics Studies and Research
59
2
페이지
142 ~ 158