中国股市对实际产出冲击的反应:VARwAL估计

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-09-17 DOI:10.1111/cwe.12500
Numan Ülkü, Kexing Wu
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引用次数: 0

摘要

本文研究了中国股市与实际产出之间的联系,并将其与基准国家进行了比较,采用了一种新的非对称超前向量自回归(VARwAL)模型。它有两个贡献。首先,研究发现,中国股市对实际产出冲击反应的时间剖面表明,没有证据表明由于个人投资者操纵中国实际产出数据或主导中国股市而导致关系扭曲。相反,中国股市对实际产出的反应相对更高,这与制造业在中国经济中所占的更大份额一致。电力输出和工业利润,这两个不同的、不太可操纵的时间序列,产生了相似的结果。其次,首次使用VARwAL脉冲响应来检测股市泡沫:VARwAL成功捕捉了2015年中国股市泡沫。在整个样本期内,中国股市似乎比美国股市更不容易出现泡沫。
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Stock Market's Response to Real Output Shocks in China: A VARwAL Estimation

This paper studies the connection between the stock market and real output in China and compares it with benchmark countries, employing a novel vector autoregression with asymmetric leads (VARwAL) model. It makes two contributions. First, it finds that the time profile of the Chinese stock market's response to real output shocks suggests no evidence of a distorted relationship due to manipulation of Chinese real output data or domination of the Chinese stock market by individual investors. Rather, the Chinese stock market is relatively more responsive to real output, in line with the larger share of manufacturing in the Chinese economy. Electricity output and industrial profits, two different, less-manipulable time series, yield similar results. Second, it presents the first use of VARwAL impulse responses to detect stock market bubbles: VARwAL captures the 2015 bubble in China successfully. Over the full sample period, China's stock market appears to have been less prone to bubbles than the US stock market.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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