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Gozgor, G., Tiwari, A., Khraief, N., et al. (2019) Dependence Structure between Business Cycles and CO₂ Emissions in the U.S.: Evidence from the Time-Varying Markov-Switching Copula Models. Energy, 188, Article ID: 115995.
https://doi.org/10.1016/j.energy.2019.115995

has been cited by the following article:

• TITLE: Dependence Structure of the US Dollar Index and Crude Oil Prices: A Regime-Switching Copula Approach

  AUTHORS: Yuankui Wang, Xiaoquan Ding

  KEYWORDS: Dependence Structure, US Dollar Index, Crude Oil, Regime-Switching Copula

  JOURNAL NAME: Journal of Mathematical Finance, Vol.14 No.2, May 15, 2024

  ABSTRACT: In the past few years, the frequent crises have deeply affected the relationship between the US dollar index and crude oil, and it has become imperative to rethink the dependency structure between the two. This paper examines the structure of the dependence between the US dollar index and crude oil prices in 2018-2023 using a Gaussian regime-switching copula model. The model results reveal the existence of two distinct dependency structures: one characterized by positive correlation and the other by negative correlation and these two dependency structures are mutually convertible, with this conversion process exhibiting Markovian properties. The result suggests that there is not a single negative dependence structure between the US dollar index and crude oil but a more complex multivariate structure. The finding enriches the theoretical knowledge of the dependence on the US dollar index and crude oil. In addition, the findings facilitate better choices for policymakers and investors in decision-making.