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Forecasting Chinese industry return volatilities with RMB/USD exchange rate

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成果类型:
期刊论文
作者:
Dai, Zhifeng*;Zhu, Huan;Dong, Xiaodi
通讯作者:
Dai, Zhifeng
作者机构:
[Dai, Zhifeng; Dong, Xiaodi; Zhu, Huan] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Hunan, Peoples R China.
[Dai, Zhifeng] Changsha Univ Sci & Technol, Hunan Prov Key Lab Math Modeling & Anal Engn, Changsha, Hunan, Peoples R China.
通讯机构:
[Dai, Zhifeng] C
Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Industry return volatility;RMB/USD exchange rate fluctuation;Prediction ability;Forecasting
期刊:
Physica A-Statistical Mechanics and its Applications
ISSN:
0378-4371
年:
2020
卷:
539
页码:
122994
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71771030, 71671018, 11301041]
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学院
摘要:
The purpose of this paper is to analyze whether the fluctuations of RMB/USD exchange rate can predict the Chinese industry return volatilities during post-financial crisis period. Our in-sample results show there is significant Granger causality from RMB/USD exchange rate fluctuations to China's industry return volatilities. The out-of-sample results also indicate the RMB/USD exchange rate fluctuations extracts significantly useful information from the predictors. Further analysis about the energy industry shows that simple linear regression is sufficient for capturing predictive relationships...

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