Yanping Chong, Weixian Kong, Matthew Tochterman, Junyue Xu, Hangying Yu
{"title":"商品价格动态中的季节性建模","authors":"Yanping Chong, Weixian Kong, Matthew Tochterman, Junyue Xu, Hangying Yu","doi":"10.2139/ssrn.2503252","DOIUrl":null,"url":null,"abstract":"The industry standard model for commodity price dynamics implies constant correlation between returns of futures with different tenors. We extend the model by allowing its parameters to vary over time. This practice enables us to capture the seasonality effect embedded in the evolution of a commodity futures curve in addition to the seasonal patterns observed in the futures curve term structure. We use a storage valuation problem as an example to illustrate how to apply our model in practice.","PeriodicalId":388404,"journal":{"name":"ERN: Other Econometric Modeling: Commodity Markets (Topic)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling Seasonality in Commodity Price Dynamics\",\"authors\":\"Yanping Chong, Weixian Kong, Matthew Tochterman, Junyue Xu, Hangying Yu\",\"doi\":\"10.2139/ssrn.2503252\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The industry standard model for commodity price dynamics implies constant correlation between returns of futures with different tenors. We extend the model by allowing its parameters to vary over time. This practice enables us to capture the seasonality effect embedded in the evolution of a commodity futures curve in addition to the seasonal patterns observed in the futures curve term structure. We use a storage valuation problem as an example to illustrate how to apply our model in practice.\",\"PeriodicalId\":388404,\"journal\":{\"name\":\"ERN: Other Econometric Modeling: Commodity Markets (Topic)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Other Econometric Modeling: Commodity Markets (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2503252\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometric Modeling: Commodity Markets (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2503252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The industry standard model for commodity price dynamics implies constant correlation between returns of futures with different tenors. We extend the model by allowing its parameters to vary over time. This practice enables us to capture the seasonality effect embedded in the evolution of a commodity futures curve in addition to the seasonal patterns observed in the futures curve term structure. We use a storage valuation problem as an example to illustrate how to apply our model in practice.