{"title":"基于马尔可夫切换GARCH模型的中国股市波动性实证分析","authors":"Hao Zheng, Fengjuan Guo, Jiahui Zhu, Xiangyu Ge","doi":"10.1109/ICDSBA53075.2021.00080","DOIUrl":null,"url":null,"abstract":"This paper introduces the Markov switching GARCH (MS-GARCH) model by GARCH family model to conduct an empirical research on the adverse effects of repeated violent fluctuations in China's stock prices due to the increasingly obvious economic impacts between countries. The empirical results show that, comparing to the traditional GARCH family model, the MS-GARCH model considers the endogenous transfer mechanism of stock market volatility, which fits the volatility of Chinese stock market more accurately and is better than the GARCH family model.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Empirical Analysis of China’s Stock Market Volatility Based on Markov Switching GARCH Model\",\"authors\":\"Hao Zheng, Fengjuan Guo, Jiahui Zhu, Xiangyu Ge\",\"doi\":\"10.1109/ICDSBA53075.2021.00080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the Markov switching GARCH (MS-GARCH) model by GARCH family model to conduct an empirical research on the adverse effects of repeated violent fluctuations in China's stock prices due to the increasingly obvious economic impacts between countries. The empirical results show that, comparing to the traditional GARCH family model, the MS-GARCH model considers the endogenous transfer mechanism of stock market volatility, which fits the volatility of Chinese stock market more accurately and is better than the GARCH family model.\",\"PeriodicalId\":154348,\"journal\":{\"name\":\"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA53075.2021.00080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA53075.2021.00080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Empirical Analysis of China’s Stock Market Volatility Based on Markov Switching GARCH Model
This paper introduces the Markov switching GARCH (MS-GARCH) model by GARCH family model to conduct an empirical research on the adverse effects of repeated violent fluctuations in China's stock prices due to the increasingly obvious economic impacts between countries. The empirical results show that, comparing to the traditional GARCH family model, the MS-GARCH model considers the endogenous transfer mechanism of stock market volatility, which fits the volatility of Chinese stock market more accurately and is better than the GARCH family model.