{"title":"高频交易数据:两种非对称模型的比较","authors":"Michael Kunkler","doi":"10.24135/afl.v12i1.655","DOIUrl":null,"url":null,"abstract":"This paper compares two asymmetric market microstructure models, namely, the three-state asymmetric autoregressive conditional duration (AACD) model and the activity-direction-size (ADS) model. It is shown that the two models measure different aspects of the same underlying asymmetric nature of market microstructure. It is also shown that by extending the AACD model to include two size variables and adjusting for partial durations, each model’s parameter estimates can be used to estimate the other model’s parameters exactly. Thus, the two asymmetric market microstructure models are equivalent.","PeriodicalId":32128,"journal":{"name":"Applied Finance Letters","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"HIGH-FREQUENCY TRANSACTION DATA: A COMPARISON BETWEEN TWO ASYMMETRIC MODELS\",\"authors\":\"Michael Kunkler\",\"doi\":\"10.24135/afl.v12i1.655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper compares two asymmetric market microstructure models, namely, the three-state asymmetric autoregressive conditional duration (AACD) model and the activity-direction-size (ADS) model. It is shown that the two models measure different aspects of the same underlying asymmetric nature of market microstructure. It is also shown that by extending the AACD model to include two size variables and adjusting for partial durations, each model’s parameter estimates can be used to estimate the other model’s parameters exactly. Thus, the two asymmetric market microstructure models are equivalent.\",\"PeriodicalId\":32128,\"journal\":{\"name\":\"Applied Finance Letters\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Finance Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24135/afl.v12i1.655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Finance Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24135/afl.v12i1.655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
HIGH-FREQUENCY TRANSACTION DATA: A COMPARISON BETWEEN TWO ASYMMETRIC MODELS
This paper compares two asymmetric market microstructure models, namely, the three-state asymmetric autoregressive conditional duration (AACD) model and the activity-direction-size (ADS) model. It is shown that the two models measure different aspects of the same underlying asymmetric nature of market microstructure. It is also shown that by extending the AACD model to include two size variables and adjusting for partial durations, each model’s parameter estimates can be used to estimate the other model’s parameters exactly. Thus, the two asymmetric market microstructure models are equivalent.