Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/275098 
Year of Publication: 
2023
Citation: 
[Journal:] Journal of Risk and Financial Management [ISSN:] 1911-8074 [Volume:] 16 [Issue:] 1 [Article No.:] 2 [Year:] 2023 [Pages:] 1-14
Publisher: 
MDPI, Basel
Abstract: 
The present study used transfer entropy and effective transfer entropy to examine the asymmetric information flow between exchange rates, oil, and gold. The dataset is composed of daily data covering the period of 1 January 2018 to 31 December 2021. Further, the dataset is bifurcated for analysis for before and during COVID. The bidirectional information flow is observed between EUR/USD and Oil for the whole study period unlike before COVID. However, during COVID, there was a unidirectional information flow from OilÇEUR/USD. The study finds a significant unidirectional information flow from GoldÇEUR/USD. The study estimates also indicate that before COVID, the direction of information flow was from OilÇGold. However, the direction of information flow reversed during COVID from GoldÇOil. Overall, the direction of information flow among these three variables is asymmetric. The highest transfer entropy was observed for GoldÇEUR/USD among all the pairs under consideration.
Subjects: 
Shannon
Renyi
transfer entropy
COVID
Gold
Crude Oil
EUR/USD
Asymmetry
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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