4.6 Article

Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion

出版社

ELSEVIER
DOI: 10.1016/j.ribaf.2023.102146

关键词

Artificial intelligence; Agri-commodity; Connectedness; COVID-19; Russia-Ukraine Invasion

向作者/读者索取更多资源

This study investigates the connection between Artificial intelligence stocks and agri-commodity stocks during COVID-19 and the Russia-Ukraine invasion. The results show that Microsoft is the highest receiver and contributor of shocks during COVID-19, while US rice and US corn are the least receiver and contributor of shocks.
This paper investigates the connectedness of Artificial intelligence stocks with agri-commodity stocks during COVID-19 and Russia-Ukraine invasion. To measure the Artificial intelligence stocks, we consider Microsoft, Google, Amazon, Meta and NVIDA while US wheat, US corn, US soyabean, US oats and US Rice are proxied to represent the agri-commodity stocks. The daily closing price of these stocks is taken from December 31, 2019 to February 23, 2022 (COVID-19) and February 24, 2022 to August 10, 2022 (Russia-Ukraine Invasion). For an empirical estimation, Diebold & Yilmaz (2012) and Barunik & Krehlik (2018) models are employed to investigate the connectedness among these assets class. The result reveals that Microsoft is highest receiver as well as highest contributor of the shocks; US rice and US corn are least receiver and contributor of the shocks respectively during COVID-19 period.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据