Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A100196" target="_blank" >RIV/60460709:41110/24:100196 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/s10614-024-10550-3" target="_blank" >https://doi.org/10.1007/s10614-024-10550-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10614-024-10550-3" target="_blank" >10.1007/s10614-024-10550-3</a>

Result language

angličtina

Original language name

Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach

Original language description

Amidst a dynamic energy market landscape, understanding evolving influencing factors is pivotal. Accurate forecasting techniques are indispensable for effective energy resource management. This study focuses on illuminating insights into economic uncertainty and commodity price forecasting. A meticulously curated dataset spanning January 2000 to December 2022 forms the foundation, incorporating diverse economic and financial uncertainty metrics. Through an innovative research framework, we discern influential factors and forecast their trajectories. Three deep learning models-Short-Term Memory, Gated Recurrent Units, and Multilayer Perception Network-are deployed. The Multilayer Perception model emerges as the standout, showcasing exceptional predictive capability rooted in its adeptness at decoding intricate market patterns. This finding holds significance for policymakers, industry experts, and energy economists. The Multilayer Perception model's supremacy offers a robust tool for decision-making in crafting economic policies and navigating volatile markets.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computational Economics

ISSN

0927-7099

e-ISSN

0927-7099

Volume of the periodical

64

Issue of the periodical within the volume

6

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

21

Pages from-to

3295-3315

UT code for WoS article

001171328100001

EID of the result in the Scopus database

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