{"title":"基于分形方法的B - C电子商务企业股价波动率研究","authors":"Ming Chen","doi":"10.1109/ICISCE.2016.226","DOIUrl":null,"url":null,"abstract":"The B to C E-commerce Enterprise (B2CEE) has produced extensive and profound influence on the economic structure. To study the structural factors of stock price of B2CEE which will influence the market pricing of them, we have introduced fractal method and made an empirical analysis on the typical case of listed B2CEE. Furthermore, to reveal the true value of B2CEE, it must separate the trend factor and the cyclical factor. Based on the fractal analysis of a typical B2CEE company: AMAZON, our study has provided a new method to separate the trend factor from the cyclical factor and has found that the stock price volatility of B2CEE appears as a trend with cyclical fluctuations.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":"479 1","pages":"1050-1054"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of the Volatility of Stock Price of B to C Electronic Commerce Enterprise by Fractal Method\",\"authors\":\"Ming Chen\",\"doi\":\"10.1109/ICISCE.2016.226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The B to C E-commerce Enterprise (B2CEE) has produced extensive and profound influence on the economic structure. To study the structural factors of stock price of B2CEE which will influence the market pricing of them, we have introduced fractal method and made an empirical analysis on the typical case of listed B2CEE. Furthermore, to reveal the true value of B2CEE, it must separate the trend factor and the cyclical factor. Based on the fractal analysis of a typical B2CEE company: AMAZON, our study has provided a new method to separate the trend factor from the cyclical factor and has found that the stock price volatility of B2CEE appears as a trend with cyclical fluctuations.\",\"PeriodicalId\":6882,\"journal\":{\"name\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"volume\":\"479 1\",\"pages\":\"1050-1054\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCE.2016.226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCE.2016.226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of the Volatility of Stock Price of B to C Electronic Commerce Enterprise by Fractal Method
The B to C E-commerce Enterprise (B2CEE) has produced extensive and profound influence on the economic structure. To study the structural factors of stock price of B2CEE which will influence the market pricing of them, we have introduced fractal method and made an empirical analysis on the typical case of listed B2CEE. Furthermore, to reveal the true value of B2CEE, it must separate the trend factor and the cyclical factor. Based on the fractal analysis of a typical B2CEE company: AMAZON, our study has provided a new method to separate the trend factor from the cyclical factor and has found that the stock price volatility of B2CEE appears as a trend with cyclical fluctuations.