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- Title
Guest Editorial of the Special Issue: Economic Policy Uncertainty and the Energy Stock Market.
- Authors
Khan, Muhammad Attique; Armghan, Ammar; Razzak, Imran; Wang, Shuihua; Li, Yang
- Abstract
This document is a guest editorial for a special issue of the journal "Fluctuation & Noise Letters" on the topic of economic policy uncertainty and the energy stock market. The editorial highlights the importance of stable economic policies for consistent economic growth and discusses the negative correlation between economic policy uncertainty and the energy stock market. It also explores the integration of machine learning and artificial intelligence in finance and their potential to reduce economic policy uncertainty. The special issue includes 14 peer-reviewed papers that cover various aspects of energy economics, energy materials, energy stock market prediction, green energy commercialization, and renewable energy dynamics in society.
- Subjects
ECONOMIC policy; ECONOMIC uncertainty; ENERGY industries; ARTIFICIAL neural networks; ENERGY policy; DEEP learning
- Publication
Fluctuation & Noise Letters, 2024, Vol 23, Issue 2, p1
- ISSN
0219-4775
- Publication type
Editorial
- DOI
10.1142/S0219477524020012