{"title":"What REALLY drives clean energy stocks - Fear or Fundamentals?","authors":"Yuqi Zheng , Brian Lucey","doi":"10.1016/j.eneco.2025.108558","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the relationship between the S&P Global Clean Energy Index and novel factors based on the GDELT Database, such as global news confidence levels, environmental sentiment, media coverage preferences in the US and China, and the ratio of environmental to overall reporting. We identify variables sourced from recent literature. Using the Isolation Forest method to select potential explanatory variables, Extreme Bounds Analysis reveals that “Fear” factors such as media sentiment and confidence show consistent and significant correlations with the S&P Global Clean Energy Index. These findings highlight the influential role of media sentiment in driving market confidence and industry growth. In contrast, some traditionally popular “Fundamental” factors, such as the Global Financial Stress Indicator, Green Bond Index, and US Dollar Index, lack robustness. While they appear reliable under normal distribution models, they exhibit substantial uncertainty under alternative models, limiting their explanatory power.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108558"},"PeriodicalIF":13.6000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325003822","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the relationship between the S&P Global Clean Energy Index and novel factors based on the GDELT Database, such as global news confidence levels, environmental sentiment, media coverage preferences in the US and China, and the ratio of environmental to overall reporting. We identify variables sourced from recent literature. Using the Isolation Forest method to select potential explanatory variables, Extreme Bounds Analysis reveals that “Fear” factors such as media sentiment and confidence show consistent and significant correlations with the S&P Global Clean Energy Index. These findings highlight the influential role of media sentiment in driving market confidence and industry growth. In contrast, some traditionally popular “Fundamental” factors, such as the Global Financial Stress Indicator, Green Bond Index, and US Dollar Index, lack robustness. While they appear reliable under normal distribution models, they exhibit substantial uncertainty under alternative models, limiting their explanatory power.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.