Wednesday, May 28, 2025
From a paper by Jassim Aladwani:
“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.”
Posted by 10:38 AM
atLabels: Energy & Climate Change
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