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Monetary Policy Effects on the Stock Market in China: Comparing Two Restriction Schemes in the SVAR Model

机译:对中国股市的货币政策影响:比较SVAR模型中的两个限制计划

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摘要

This paper analyzes and compares the effects of the monetary policy on the stock price in China based on SVAR models with two different restriction schemes. As suggested by existing literature, there are four major monetary policy instruments used by the People's Bank of China. They are the seven-day repo rate, the one-year benchmark lending rate, the M2, and the total loan. We run SVARs with the monetary policy instrument, the stock index, and the macroeconomic variables and show the impulse responses of the stock index to the monetary policy shocks. After comparing two restriction schemes, the short-run Cholesky restrictions and the short-run and long-run combined restrictions for identification, we conclude that the latter restriction method leads to better estimation than the former one. In general, a contractionary monetary policy shock lowers the stock price, appreciates the Chinese currency, reduces the output gap, injects deflation, and shrinks the commodity price gap. We find that the benchmark lending rate is more effective in regulating the Chinese stock market than the other monetary policy instruments. In addition, a combination of price-based and quantity-based monetary policy instruments is suggested for impacting the stock market and stabilizing the economy in China.
机译:本文分析并比较了货币政策对中国股价的影响,基于两个不同的限制计划的SVAR模型。如现有文献所提出的,中国人民银行使用了四个主要的货币政策文书。它们是七天的回购率,一年的基准贷款利率,M2和总贷款。我们与货币政策仪器,股指和宏观经济变量进行斯维尔,并展示股指对货币政策冲击的冲动响应。在比较两种限制方案之后,短期妖精的限制以及用于识别的短期和长期组合限制,我们得出结论,后一种限制方法导致比前一个更好的估计。一般而言,衡量的货币政策冲击降低了股票价格,欣赏中国货币,减少产出差距,注射通货紧缩,并缩小商品价格差距。我们发现基准贷款率在规范中股市比其他货币政策工具更有效。此外,建议对基于数量和数量的货币政策工具的组合影响股票市场并稳定中国经济。

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