Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/303701 
Authors: 
Year of Publication: 
2022
Citation: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 10 [Issue:] 1 [Article No.:] 2095767 [Year:] 2022 [Pages:] 1-19
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
This study aims to explore the asymmetric relationships between global oil prices and the selected Vietnam macroeconomic indicators using both quantile-on-quantile regression and Granger causality in quantile frameworks. The macroeconomic factors under study, as expected, have a strong relationship with oil price changes. The results suggest that oil prices have a positive impact on the exchange rate, inflation, GDP, and stock market prices across major quantiles, while there is a significantly negative relationship between the unemployment rate and oil prices in the middle-upper quantile. The results of this article offer considerable policy implications for governments, investors, and policymakers.
Subjects: 
macroeconomic factors
oil prices
quantile regression
causality
Vietnam
JEL: 
G12
I32
O55
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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