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The dynamic impact of oil shocks on the Saudi stock market: new evidence through dynamic simulated ARDL approach

Amel Belanès (College of Business, University of Jeddah, Jeddah, Saudi Arabia)
Abderrazek Ben Maatoug (Faculty of Business, University of Bisha, Bisha, Saudi Arabia)
Mohamed Bilel Triki (Community College, University of Bisha, Bisha, Saudi Arabia)

Journal of Risk Finance

ISSN: 1526-5943

Article publication date: 2 January 2024

Issue publication date: 10 January 2024

94

Abstract

Purpose

The paper investigates the dynamic relationship between oil prices, the USA dollar exchange rate and the Saudi stock market index.

Design/methodology/approach

The authors perform a novel dynamic simulated the autoregressive distributed lag (ARDL) on weekly data from 2010 to 2021.

Findings

The authors' work reveals three main results: First, a cointegration relationship exists between oil prices and the Saudi stock market index. Second, the Saudi stock market is strongly affected by fluctuations in oil prices in both the short and long run. Third, the exchange rate of the USA dollar has a slight influence on the movements of the Saudi stock market. The simulations show that the Saudi stock market index has a long-run upward trend after an oil price shock, while the dollar index rises moderately after a similar shock. Moreover, the first months of the COVID-19 pandemic coincided with a significant decline in the Saudi stock market index, particularly the substantial drop in oil prices.

Practical implications

These findings encourage domestic and foreign investors to benefit from an upward trend in oil prices, especially after the opening of the Saudi market to foreign investment. On the other hand, it raises questions about the Saudi economy's dependence on oil as the sole vehicle for output growth. It highlights the urgent need for diversification and productivity growth in the non-oil sector and other renewable natural resources to increase Saudi competitiveness.

Originality/value

The novelty of the research lies in the following. First, the authors apply one of the latest developments in time-series modeling techniques. This dynamic ARDL simulation model provides a worthwhile alternative way to explore dynamic correlations in the short and long run and assess the choc effects. Secondly, the study would enable us to track the impact of the COVID-19 health crisis on the Saudi stock market.

Keywords

Acknowledgements

Since submission of this article, the following author(s) have updated their affiliations: Abderrazek Ben Maatoug is at High Institute of Management of Tunis, University of Tunis, Tunis, Tunisia.

Citation

Belanès, A., Ben Maatoug, A. and Triki, M.B. (2024), "The dynamic impact of oil shocks on the Saudi stock market: new evidence through dynamic simulated ARDL approach", Journal of Risk Finance, Vol. 25 No. 1, pp. 115-129. https://doi.org/10.1108/JRF-04-2023-0091

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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