The Volatility Spillover of Global Oil Price Uncertainty
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F24%3A43907954" target="_blank" >RIV/60076658:12510/24:43907954 - isvavai.cz</a>
Výsledek na webu
<a href="https://econjournals.com/index.php/ijeep/article/view/15803" target="_blank" >https://econjournals.com/index.php/ijeep/article/view/15803</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32479/ijeep.15803" target="_blank" >10.32479/ijeep.15803</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The Volatility Spillover of Global Oil Price Uncertainty
Popis výsledku v původním jazyce
This manuscript, for the 1st time, analyses the volatility spillover of oil price uncertainty in the world using data from oil price uncertainty recently developed by Abiad and Qureshi (2023), spanning the time 1996-2019 on a monthly frequency. ARCH/GARCH (Autoregressive Conditional Heteroskedasticity and Generalized Autoregressive Conditional Heteroskedasticity) models are employed as an econometric tool. The findings suggest that ARCH model is more consistent than GARCH model in assessing the volatility of oil price uncertainty in the world. The results show that the volatility of oil price uncertainty is high in the world. The transition to renewable energy sources is proposed as a way to resist unexpected oil shocks since the production of renewables does not depend on the fluctuations of oil prices. Consequently, uncertainties in the oil price do not hinder economic activities.
Název v anglickém jazyce
The Volatility Spillover of Global Oil Price Uncertainty
Popis výsledku anglicky
This manuscript, for the 1st time, analyses the volatility spillover of oil price uncertainty in the world using data from oil price uncertainty recently developed by Abiad and Qureshi (2023), spanning the time 1996-2019 on a monthly frequency. ARCH/GARCH (Autoregressive Conditional Heteroskedasticity and Generalized Autoregressive Conditional Heteroskedasticity) models are employed as an econometric tool. The findings suggest that ARCH model is more consistent than GARCH model in assessing the volatility of oil price uncertainty in the world. The results show that the volatility of oil price uncertainty is high in the world. The transition to renewable energy sources is proposed as a way to resist unexpected oil shocks since the production of renewables does not depend on the fluctuations of oil prices. Consequently, uncertainties in the oil price do not hinder economic activities.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Energy Economics and Policy
ISSN
2146-4553
e-ISSN
2146-4553
Svazek periodika
14
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
TR - Turecká republika
Počet stran výsledku
6
Strana od-do
"619 "- 624
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85193753097