RETRACTED: Prediction of High-Frequency Economic Data Based on Stochastic Fluctuation Model (Retracted Article)
被引:1
|
作者:
Zhang, Xiaoyang
论文数: 0引用数: 0
h-index: 0
机构:
Woosuk Univ, Grad Sch, Dept Social Econ & Management, Wonju 55338, South Korea
Handan Univ, Handan 056001, Hebei, Peoples R ChinaWoosuk Univ, Grad Sch, Dept Social Econ & Management, Wonju 55338, South Korea
Zhang, Xiaoyang
[1
,2
]
Qi, Tianxiang
论文数: 0引用数: 0
h-index: 0
机构:
Woosuk Univ, Grad Sch, Dept Social Econ & Management, Wonju 55338, South KoreaWoosuk Univ, Grad Sch, Dept Social Econ & Management, Wonju 55338, South Korea
Qi, Tianxiang
[1
]
Kim, Dong-Joo
论文数: 0引用数: 0
h-index: 0
机构:
Woosuk Univ, Dept Rehabil Studies, Wonju 55338, South KoreaWoosuk Univ, Grad Sch, Dept Social Econ & Management, Wonju 55338, South Korea
Kim, Dong-Joo
[3
]
机构:
[1] Woosuk Univ, Grad Sch, Dept Social Econ & Management, Wonju 55338, South Korea
[2] Handan Univ, Handan 056001, Hebei, Peoples R China
[3] Woosuk Univ, Dept Rehabil Studies, Wonju 55338, South Korea
In order to improve the effect of economic high-frequency data analysis, this paper combines the stochastic fluctuation model to carry out the forecast analysis of economic high-frequency data. Moreover, this paper uses the spider web model for data processing and makes a preliminary judgment on the extent to which futures/stock prices lead the spot through error correction model, impulse response, and variance decomposition. Furthermore, this paper studies the contribution of futures/stock price changes to the effective price through the common factor model so as to obtain its price discovery efficiency. In addition, this paper judges the efficiency of price discovery by studying the contribution of futures/stock price changes to the effective price. Finally, based on the research idea of futures/stock price discovery efficiency, an intelligent data analysis model is constructed. The experimental study shows that the economic high-frequency data prediction model based on the stochastic fluctuation model proposed in this paper has a good effect on the analysis and prediction of economic high-frequency data.
机构:
Guangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R ChinaGuangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R China
Li, Qunfeng
Lei, Siman
论文数: 0引用数: 0
h-index: 0
机构:
Univ Macau, Fac Educ, Taipa 999078, Macao, Peoples R ChinaGuangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R China
Lei, Siman
Liu, Yanhong
论文数: 0引用数: 0
h-index: 0
机构:
Zhuhai Women & Childrens Hosp, Zhuhai 519001, Guangdong, Peoples R ChinaGuangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R China
Liu, Yanhong
Liu, Qiongzhu
论文数: 0引用数: 0
h-index: 0
机构:
Zhuhai Women & Childrens Hosp, Zhuhai 519001, Guangdong, Peoples R ChinaGuangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R China
Liu, Qiongzhu
Chen, Ying
论文数: 0引用数: 0
h-index: 0
机构:
Sun Yat Sen Univ, Affiliated Hosp 3, Guangzhou 510630, Guangdong, Peoples R ChinaGuangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R China
Chen, Ying
Lin, Xin
论文数: 0引用数: 0
h-index: 0
机构:
Sun Yat Sen Univ, Affiliated Hosp 3, Guangzhou 510630, Guangdong, Peoples R ChinaGuangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R China
Lin, Xin
Zhang, Xinling
论文数: 0引用数: 0
h-index: 0
机构:
Sun Yat Sen Univ, Affiliated Hosp 3, Guangzhou 510630, Guangdong, Peoples R ChinaGuangdong Polytech Sci & Technol, Zhuhai 510640, Guangdong, Peoples R China