Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility

Md. Samsul Alam, Syed Jawad Hussain Shahzad and Román Ferrer

Energy Economics, 2019, vol. 84, issue C

Abstract: This paper investigates the causal linkages in volatility between crude oil prices and six major bilateral exchange rates against the U.S. dollar in the time-frequency space using high-frequency intraday data. Special attention is paid to the potential asymmetries in the causal effects between oil and forex markets. The wavelet-based Granger causality method proposed by Olayeni (2016) is applied to quantify the causal relations in the time and frequency domains simultaneously. Moreover, the realized semivariance approach of Barndoff-Nielsen et al. (2010) is used to account for possible asymmetries in the transmission of volatility shocks. The empirical results show that the significant causal links between oil prices and exchange rates are mainly concentrated in the long-run and during periods of increased economic and financial uncertainty such as the global financial crisis and the subsequent European sovereign debt crisis. Further, the causal effects from currency markets to the crude oil market are stronger than in the opposite direction, consistent with the forward-looking nature of exchange rates, the role of the U.S. dollar as the key invoicing currency for global oil trading and the expanding financialization of the oil market since the mid-2000s. In addition, significant asymmetries coming from good and bad volatility are found at longer horizons. Specifically, bad volatility seems to dominate good volatility in terms of the importance of transmission of volatility shocks.

Keywords: Crude oil prices; Exchange rates; High-frequency data; Realized volatility; Granger causality; Wavelet analysis; Asymmetry; Good and bad volatility (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (25)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319303020

DOI: 10.1016/j.eneco.2019.104513

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