{"title":"随机环境下一类自回归条件持续时间模型","authors":"Junhong Miao, Yanying Wang","doi":"10.1109/ISCID.2011.129","DOIUrl":null,"url":null,"abstract":"This article contains two novelties. First, we propose a new type of augmented ACD model under random environment. It turns out that flexible disturbance of the news impact function are necessary to appropriately model financial durations. The ACD model under random environment proposed in this paper seem to be a valuable alternative to existing approaches and have the best overall performance. Second, we give the transition probability of the process. Moreover by employing the transition probability, we give the probability properties of the ACD model under random environment, and give rigorous proofs of the probability properties.","PeriodicalId":224504,"journal":{"name":"2011 Fourth International Symposium on Computational Intelligence and Design","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Family of Autoregressive Conditional Duration Model under Random Environment\",\"authors\":\"Junhong Miao, Yanying Wang\",\"doi\":\"10.1109/ISCID.2011.129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article contains two novelties. First, we propose a new type of augmented ACD model under random environment. It turns out that flexible disturbance of the news impact function are necessary to appropriately model financial durations. The ACD model under random environment proposed in this paper seem to be a valuable alternative to existing approaches and have the best overall performance. Second, we give the transition probability of the process. Moreover by employing the transition probability, we give the probability properties of the ACD model under random environment, and give rigorous proofs of the probability properties.\",\"PeriodicalId\":224504,\"journal\":{\"name\":\"2011 Fourth International Symposium on Computational Intelligence and Design\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2011.129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2011.129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Family of Autoregressive Conditional Duration Model under Random Environment
This article contains two novelties. First, we propose a new type of augmented ACD model under random environment. It turns out that flexible disturbance of the news impact function are necessary to appropriately model financial durations. The ACD model under random environment proposed in this paper seem to be a valuable alternative to existing approaches and have the best overall performance. Second, we give the transition probability of the process. Moreover by employing the transition probability, we give the probability properties of the ACD model under random environment, and give rigorous proofs of the probability properties.