Analysis of the relationship between bitcoin, oil prices, and the Dow Jones Industrial Average using a wavelet-based approach
Document Type
Conference Proceeding
Publication Date
1-1-2023
Abstract
This paper analyzes the correlation between bitcoin, oil price fluctuations and the DOW Jones Industrial Index in the time-frequency framework. Coherent wavelet method applied to recent daily data in the United States (1863 in total). Our research has several implications and supports for policy makers and asset managers. We find that oil prices lead the U.S. market at both low and high frequencies throughout the observation period. This result suggests that sanctions against Russia by a number of countries, including the U.S., are influencing oil prices, while oil remains a major source of systemic risk to the U.S. economy and economic uncertainty between the international level is exacerbated by tensions between Russia and Ukraine.
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
DOI
10.1117/12.2659982
Recommended Citation
Li, Linxuan and Tao, Zheng, "Analysis of the relationship between bitcoin, oil prices, and the Dow Jones Industrial Average using a wavelet-based approach" (2023). Kean Publications. 400.
https://digitalcommons.kean.edu/keanpublications/400