{"title":"Is there a robust hedging method during the COVID-19 pandemic? Evidence from Chinese crude oil futures","authors":"Qianjie Geng","doi":"10.1016/j.eneco.2025.108329","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on finding an excellent and robust hedging method during the COVID-19 pandemic. We develop a novel hedging framework based on the conventional approach for the Chinese oil futures market. Commonly used hedging models are employed to compare hedging performance under these methodological frameworks. Our results show that the proposed shrinking hedging framework demonstrates the highest hedging effectiveness among all the competitors, especially during the COVID-19 pandemic. The main findings also stand up to several robustness tests. Moreover, the empirical results reveal that the superior performance of our shrinking method can be attributed to the high estimation error of minimum-variance hedging strategies.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108329"},"PeriodicalIF":13.6000,"publicationDate":"2025-02-25","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/S0140988325001537","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 paper focuses on finding an excellent and robust hedging method during the COVID-19 pandemic. We develop a novel hedging framework based on the conventional approach for the Chinese oil futures market. Commonly used hedging models are employed to compare hedging performance under these methodological frameworks. Our results show that the proposed shrinking hedging framework demonstrates the highest hedging effectiveness among all the competitors, especially during the COVID-19 pandemic. The main findings also stand up to several robustness tests. Moreover, the empirical results reveal that the superior performance of our shrinking method can be attributed to the high estimation error of minimum-variance hedging strategies.
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.