地缘政治风险与绿色投资的可预测性:基于GARCH的混合数据抽样方法

Geopolitical Risks and the Predictability of Green Investments: A GARCH‐Based Mixed Data Sampling Approach

International Journal of Finance and Economics · 2025
被引 9 · 同刊同年前 4%
ABS 3

中文导读

研究了全球和国别地缘政治风险对绿色投资资产波动率的预测能力,发现全球风险尤其是威胁因素会加剧波动,且不同国家影响存在异质性。

Abstract

ABSTRACT The frequent occurrences of geopolitical tensions, wars and conflicts continue to place a great limitation on the development of green projects, thereby reducing the incentives for sustainable investments. While there have been several attempts to connect geopolitical risks with financial market performance, there are still several limitations that this study intends to address. Among others, we make a comparison between the predictive impacts of global and country‐specific geopolitical risks on the volatility of green investment assets, putting threats and actual acts into perspective. Using the GARCH‐MIDAS methodology, we find that global geopolitical risks increase the volatility of most of the green investment assets, with the highest impact attributed to geopolitical risk threats. The country‐specific analysis shows more heterogeneous impacts, although a positive relationship is found in most cases. In Europe, the geopolitical risks of the Netherlands and the United Kingdom exert the strongest impacts on the volatility of green investments, whereas in the non‐European countries, the geopolitical risks of Russia and the United States have the strongest influence. Comparing regional impacts, the geopolitical risks of the non‐European countries have a stronger impact than those of the European countries.

绿色金融地缘政治风险波动率预测GARCH-MIDAS模型