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Measuring and Forecasting Volatility in Chinese Stock Market Using HAR-CJ-M Model

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成果类型:
期刊论文
作者:
Huang, Chuangxia;Gong, Xu;Chen, Xiaohong;Wen, Fenghua*
通讯作者:
Wen, Fenghua
作者机构:
[Huang, Chuangxia] Changsha Univ Sci & Technol, Coll Math & Comp Sci, Changsha 410114, Hunan, Peoples R China.
[Gong, Xu] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410114, Hunan, Peoples R China.
[Wen, Fenghua; Chen, Xiaohong; Gong, Xu] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
通讯机构:
[Wen, Fenghua] C
Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
语种:
英文
期刊:
Abstract and Applied Analysis
ISSN:
1085-3375
年:
2013
卷:
2013
页码:
1-13
基金类别:
Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71171024, 11101053, 70921001]; Hunan Province Graduate Research and Innovation Projects [CX2012B364]; Scientific Research Funds of Hunan Provincial Science and Technology Department of China
机构署名:
本校为第一机构
院系归属:
经济与管理学院
数学与统计学院
摘要:
Basing on the Heterogeneous Autoregressive with Continuous volatility and Jumps model (HAR-CJ), converting the realized Volatility (RV) into the adjusted realized volatility (ARV), and making use of the influence of momentum effect on the volatility, a new model called HAR-CJ-M is developed in this paper. At the same time, we also address, in great detail, another two models (HAR-ARV, HAR-CJ). The applications of these models to Chinese stock market show that each of the continuous sample path variation, momentum effect, and ARV has a good fore...

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