The impact of crude oil price shocks on Spain’s macroeconomic and stockmarket performance

Using standard GARCH-type, Markov Switching GARCH-type, and autoregressive distributed lag (ARDL) models, this study employs quarterly dataset from 1995 to 2023 to investigate the volatility shifts of macroeconomic variables, incorporating crude oil prices in Spain. The empirical results of the study clearly confirm that MSGARCH-type models extend beyond the capabilities of standard GARCH-type models, providing enhanced flexibility in modeling the volatility process. The estimated MSGARCH-type models effectively identify breakpoints in all macroeconomic variables volatilities, specifically during significant events such as the global financial crisis (GFC) in 2008, the European debt crisis in 2011, and the Covid-19 pandemic of 2020, Russia-Ukraine War in 2022. In addition, our results indicate that high crude oil price shocks during the global events are important drivers of uncertainty. There is strong evidence that the effects of crude oil price shocks on macroeconomic uncertainty are highly dependent on the prevailing regime. These impacts vary based on investor sentiment and the level of perceived volatility within financial markets. The responses of economic uncertainty to crude oil shocks appear to experience a dramatic change in the major global events, such as the post-global financial crisis (GFC), COVID-19 pandemic, and the Russia-Ukrainian war.

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Publication Details

Journal
Economic Research-Ekonomska Istraživanja
Published
2025-01-01
DOI
https://doi.org/10.32728/er-ei.38.1.4
Primary Topic
Market Dynamics and Volatility
Type
article
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article

The impact of crude oil price shocks on Spain’s macroeconomic and stockmarket performance

Jassim Aladwani
Economic Research-Ekonomska Istraživanja
Market Dynamics and Volatility
article

The impact of crude oil price shocks on Spain’s macroeconomic and stockmarket performance

Jassim Aladwani
article en

Abstract

Using standard GARCH-type, Markov Switching GARCH-type, and autoregressive distributed lag (ARDL) models, this study employs quarterly dataset from 1995 to 2023 to investigate the volatility shifts of macroeconomic variables, incorporating crude oil prices in Spain. The empirical results of the study clearly confirm that MSGARCH-type models extend beyond the capabilities of standard GARCH-type models, providing enhanced flexibility in modeling the volatility process. The estimated MSGARCH-type models effectively identify breakpoints in all macroeconomic variables volatilities, specifically during significant events such as the global financial crisis (GFC) in 2008, the European debt crisis in 2011, and the Covid-19 pandemic of 2020, Russia-Ukraine War in 2022. In addition, our results indicate that high crude oil price shocks during the global events are important drivers of uncertainty. There is strong evidence that the effects of crude oil price shocks on macroeconomic uncertainty are highly dependent on the prevailing regime. These impacts vary based on investor sentiment and the level of perceived volatility within financial markets. The responses of economic uncertainty to crude oil shocks appear to experience a dramatic change in the major global events, such as the post-global financial crisis (GFC), COVID-19 pandemic, and the Russia-Ukrainian war.

Economic Research-Ekonomska IstraživanjaVol. 38(1)
Openalex Percentile: Top 80%
Market Dynamics and Volatility
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