K. Gavriilidis, Dimos S. Kambouroudis, Katerina Tsakou, Dimitris A. Tsouknidis
{"title":"油轮运价波动预测:油价冲击的作用","authors":"K. Gavriilidis, Dimos S. Kambouroudis, Katerina Tsakou, Dimitris A. Tsouknidis","doi":"10.2139/ssrn.3332262","DOIUrl":null,"url":null,"abstract":"This paper examines whether the inclusion of oil price shocks of different origin as exogenous variables in a wide set of GARCH-X models improves the accuracy of their volatility forecasts for spot and 1-year time-charter tanker freight rates. Kilian's (2009) oil price shocks of different origin enter GARCH-X models which, among other stylized facts of the freight rates examined, take into account the presence of asymmetric and long-memory effects in tanker freight rates. The results reveal that the inclusion of aggregate oil demand shocks and precautionary oil-specific demand shocks (price) significantly improves the accuracy of the volatility forecasts drawn.","PeriodicalId":11495,"journal":{"name":"Econometric Modeling: Capital Markets - Forecasting eJournal","volume":"45 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Volatility Forecasting Across Tanker Freight Rates: The Role of Oil Price Shocks\",\"authors\":\"K. Gavriilidis, Dimos S. Kambouroudis, Katerina Tsakou, Dimitris A. Tsouknidis\",\"doi\":\"10.2139/ssrn.3332262\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines whether the inclusion of oil price shocks of different origin as exogenous variables in a wide set of GARCH-X models improves the accuracy of their volatility forecasts for spot and 1-year time-charter tanker freight rates. Kilian's (2009) oil price shocks of different origin enter GARCH-X models which, among other stylized facts of the freight rates examined, take into account the presence of asymmetric and long-memory effects in tanker freight rates. The results reveal that the inclusion of aggregate oil demand shocks and precautionary oil-specific demand shocks (price) significantly improves the accuracy of the volatility forecasts drawn.\",\"PeriodicalId\":11495,\"journal\":{\"name\":\"Econometric Modeling: Capital Markets - Forecasting eJournal\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Econometric Modeling: Capital Markets - Forecasting eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3332262\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Capital Markets - Forecasting eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3332262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Volatility Forecasting Across Tanker Freight Rates: The Role of Oil Price Shocks
This paper examines whether the inclusion of oil price shocks of different origin as exogenous variables in a wide set of GARCH-X models improves the accuracy of their volatility forecasts for spot and 1-year time-charter tanker freight rates. Kilian's (2009) oil price shocks of different origin enter GARCH-X models which, among other stylized facts of the freight rates examined, take into account the presence of asymmetric and long-memory effects in tanker freight rates. The results reveal that the inclusion of aggregate oil demand shocks and precautionary oil-specific demand shocks (price) significantly improves the accuracy of the volatility forecasts drawn.