{"title":"International Petroleum Price Risk Early-warning Based on Grey Theory","authors":"Xin Gao, Haifei Ma","doi":"10.30016/JGS.201103.0002","DOIUrl":null,"url":null,"abstract":"With high concentration of energy consumption industry, high oil dependence and lack of corresponding bargaining and pricing strategy, China has a high probability to be hijacked by oil price with huge fluctuations, thus oil price early-warning and risk management system is needed to reduce potential loss caused by oil price fluctuations. The primary task of early-warning is forecasting, but previous projections are all based on annual or monthly data and there is lag in forecasting and early warning results. So, in order to perceive price risk within a short time and take immediate measures, this article temporarily puts aside long-term oil price factors and analyzes oil prices in a new short-term perspective and distinct proportions, then constructs a model between oil price and factors, and forecasts volatility range of oil price through combination of Co-integration and Grey theory, and proposes oil price risk management measures in high price areas for the state and oil companies.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"14 1","pages":"9-19"},"PeriodicalIF":1.0000,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.201103.0002","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 6
Abstract
With high concentration of energy consumption industry, high oil dependence and lack of corresponding bargaining and pricing strategy, China has a high probability to be hijacked by oil price with huge fluctuations, thus oil price early-warning and risk management system is needed to reduce potential loss caused by oil price fluctuations. The primary task of early-warning is forecasting, but previous projections are all based on annual or monthly data and there is lag in forecasting and early warning results. So, in order to perceive price risk within a short time and take immediate measures, this article temporarily puts aside long-term oil price factors and analyzes oil prices in a new short-term perspective and distinct proportions, then constructs a model between oil price and factors, and forecasts volatility range of oil price through combination of Co-integration and Grey theory, and proposes oil price risk management measures in high price areas for the state and oil companies.
期刊介绍:
The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows:
Grey mathematics-
Generator of Grey Sequences-
Grey Incidence Analysis Models-
Grey Clustering Evaluation Models-
Grey Prediction Models-
Grey Decision Making Models-
Grey Programming Models-
Grey Input and Output Models-
Grey Control-
Grey Game-
Practical Applications.