{"title":"Investing in the batteries and vehicles of the future: A view through the stock market","authors":"Michael Plante","doi":"10.1016/j.eneco.2025.108216","DOIUrl":null,"url":null,"abstract":"<div><div>A large number of companies operating in the EV and battery supply chain have listed on a U.S. stock exchange in recent years. I compile a unique data set of high-frequency stock returns for those companies and investigate the extent to which an “industry” factor specific to the EV and battery supply chain (an “EV” factor) can explain their returns. Those returns are decomposed into systematic and idiosyncratic components, with the former given by a set of latent factors extracted from a large panel of stock returns using high-frequency principal components. It is found that a market factor and a factor associated with tech stocks have good explanatory power for the stocks of interest. I identify an “EV” factor as the first principal component of the idiosyncratic returns and find it has relatively good explanatory power for EV and battery stocks, often exceeding that of the tech factor. There is also evidence for a lithium factor that plays an important role in the returns of lithium companies.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"143 ","pages":"Article 108216"},"PeriodicalIF":14.2000,"publicationDate":"2025-01-25","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/S0140988325000398","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
A large number of companies operating in the EV and battery supply chain have listed on a U.S. stock exchange in recent years. I compile a unique data set of high-frequency stock returns for those companies and investigate the extent to which an “industry” factor specific to the EV and battery supply chain (an “EV” factor) can explain their returns. Those returns are decomposed into systematic and idiosyncratic components, with the former given by a set of latent factors extracted from a large panel of stock returns using high-frequency principal components. It is found that a market factor and a factor associated with tech stocks have good explanatory power for the stocks of interest. I identify an “EV” factor as the first principal component of the idiosyncratic returns and find it has relatively good explanatory power for EV and battery stocks, often exceeding that of the tech factor. There is also evidence for a lithium factor that plays an important role in the returns of lithium companies.
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.