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Causality between Oil Prices and Tourist Arrivals

1
Faculty of Business and Law, De Montfort University, Leicester LE1 9BH, UK
2
Fashion Business School, London College of Fashion, University of the Arts London, London WC1V 7EY, UK
3
Research Institute of Energy Management and Planning, University of Tehran, Tehran 1417466191, Iran
*
Author to whom correspondence should be addressed.
Stats 2018, 1(1), 134-154; https://doi.org/10.3390/stats1010010
Received: 19 September 2018 / Revised: 16 October 2018 / Accepted: 16 October 2018 / Published: 20 October 2018
This paper investigates the causal relationship between oil price and tourist arrivals to further explain the impact of oil price volatility on tourism-related economic activities. The analysis itself considers the time domain, frequency domain, and information theory domain perspectives. Data relating to the US and nine European countries are exploited in this paper with causality tests which include the time domain, frequency domain, and Convergent Cross Mapping (CCM). The CCM approach is nonparametric and therefore not restricted by assumptions. We contribute to existing research through the successful and introductory application of an advanced method and via the uncovering of significant causal links from oil prices to tourist arrivals. View Full-Text
Keywords: oil price; tourist arrivals; causality; convergent cross mapping; granger causality oil price; tourist arrivals; causality; convergent cross mapping; granger causality
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MDPI and ACS Style

Huang, X.; Silva, E.; Hassani, H. Causality between Oil Prices and Tourist Arrivals. Stats 2018, 1, 134-154. https://doi.org/10.3390/stats1010010

AMA Style

Huang X, Silva E, Hassani H. Causality between Oil Prices and Tourist Arrivals. Stats. 2018; 1(1):134-154. https://doi.org/10.3390/stats1010010

Chicago/Turabian Style

Huang, Xu; Silva, Emmanuel; Hassani, Hossein. 2018. "Causality between Oil Prices and Tourist Arrivals" Stats 1, no. 1: 134-154. https://doi.org/10.3390/stats1010010

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