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  • ISSN 2096-9554
  • CN 31-2074/F
Volume 34 Issue 5
Oct.  2020
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Ding Hui, Yang Ruiqi, Mao Zesheng, Bian Zhicun. 2020. Asset Price Fluctuation and Monetary Policy Regulation:Evidence from China. Accounting and Economic Research, 34(5): 89-106.
Citation: Ding Hui, Yang Ruiqi, Mao Zesheng, Bian Zhicun. 2020. Asset Price Fluctuation and Monetary Policy Regulation:Evidence from China. Accounting and Economic Research, 34(5): 89-106.

Asset Price Fluctuation and Monetary Policy Regulation:Evidence from China

  • Received Date: 2020-04-20
  • Publish Date: 2020-09-25
  • Based on the compilation idea of financial conditions index, this paper constructs the asset price conditions index of China by using real estate price, stock price, RMB real effective exchange rate and commodity price index. From perspectives of time-varying and short or long-term by using SV-TVP-VAR model, the effects of quantitative and price-based monetary policies on asset prices are analyzed to depict the change characteristics of China’s monetary policies in different periods. The results show that both types of monetary policies in China have the orientation of pegging to asset prices. As a whole the effectiveness of price-based monetary policy is greater than that of quantitative one. However, there is little difference between the two types of monetary policies in terms of the time required to achieve the maximum level of regulatory effect and the duration of the regulatory effect. The regulation effects of the two types of monetary policies are different in different periods, which is most significant in the financial crisis period, but weakened when the financial supervision is strong. We should further standardize the innovation of financial business, dredge the transmission channel of monetary policy, change the traditional monetary policy regulation mode of “value quantity and despise price”, build a new monetary policy control framework of “price as the main factor and quantity as the supplement”, and improve the dual pillar regulatory framework of “monetary policy + macro prudential policy” so as to stabilize asset prices more effectively.

     

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  • [1]
    陈继勇, 袁威, 肖卫国. 2013. 流动性、资产价格波动的隐含信息和货币政策选择—基于中国股票市场与房地产市场的实证分析. 经济研究 (11): 43−55.
    [2]
    陈诗一, 王祥. 2016. 融资成本、房地产价格波动与货币政策传导. 金融研究 (3): 1−14.
    [3]
    陈瑶雯, 范祚军, 郑丹丹. 2019. 基于SV-TVP-VAR的中国货币政策对大宗商品价格的影响. 国际金融研究 (3): 87−96.
    [4]
    丁慧, 范从来, 钱丽华. 2014. 中国广义价格指数的构建及其货币政策含义. 中国经济问题 (5): 88−98.
    [5]
    封思贤, 蒋伏心, 谢启超, 张文正. 2012. 金融状况指数预测通胀趋势的机理与实证——基于中国1999−2011年月度数据的分析. 中国工业经济 (4): 18−30.
    [6]
    侯成琪, 龚六堂. 2014. 货币政策应该对住房价格波动作出反应吗—基于两部门动态随机一般均衡模型的分析. 金融研究 (10): 15−33.
    [7]
    王曦, 朱立挺, 王凯立. 2017. 我国货币政策是否关注资产价格?—基于马尔科夫区制转换BEKK多元GARCH模型. 金融研究 (11): 1−17.
    [8]
    张旭. 2017. 资产价格波动与货币政策反应: 影响机制及其监控研究. 南京: 东南大学.
    [9]
    邹昆仑, 张晶. 2013. 货币政策、通货膨胀与股票资产价格波动研究. 统计与决策 (1): 173−175.
    [10]
    Alam, M. R., and S. Gilbert. 2017. Monetary policy shocks and the dynamics of agricultural commodity prices: Evidence from structural and factor-augmented VAR analyses. Agricultural Economics 48(1): 15−27. doi: 10.1111/agec.12291
    [11]
    Bean, C. R. 2004. Asset prices, financial instability, and monetary policy. The American Economic Review 94(2): 14−18. doi: 10.1257/0002828041301795
    [12]
    Bernanke, B. S., and M. L. Gertler. 1999. Monetary policy and asset price volatility. Federal Reserve Bank of Kansas City Economic Review 84(4): 77−128.
    [13]
    Bordo, M. D., and D. C. Wheelock. 2004. Monetary policy and asset prices: a look back at past U. S. stock market booms. Federal Reserve Bank of St. Louis Review 86 (6): 19−44.
    [14]
    Cecchetti, S. G., H. Genberg, J. Lipsky, and S. Wadhwani. 2000. Asset prices and central bank policy. The Geneva Report on the World Economy.
    [15]
    Galí, J., and L. Gambetti. 2014. The effects of monetary policy on stock market bubbles: some evidence. American Economic Journal: Macroeconomics 7(1): 233−257.
    [16]
    Goodhart, C., and B. Hofmann. 2000. Do asset prices help to predict consumer price inflation? The Manchester School 68(S1): 122−140. doi: 10.1111/1467-9957.68.s1.7
    [17]
    Goodhart, C., and A. Presaud. 2008. How to avoid the next crash. The Financial Times. 01−30.
    [18]
    Iacoviello, M. 2005. House prices, borrowing constraints and monetary policy in the business cycle. The American Economic Review 95(3): 739−764. doi: 10.1257/0002828054201477
    [19]
    Kohn, D. L. 2010. Homework assignments for monetary policymakers. Speech at the Cornelson Distinguished Lecture at Davidson College, Davidson, North Carolina.
    [20]
    McDonald, J. F., and H. H. Stokes. 2013. Monetary policy and the housing bubble. The Journal of Real Estate Finance and Economics 46(3): 437−451. doi: 10.1007/s11146-011-9329-9
    [21]
    Mishkin, F. S. 2007. Housing and monetary transmission mechanism. Federal Reserve Board Staff Working Papers.
    [22]
    Nakajima, J., M. Kasuya, and T. Watanabe. 2011. Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy. Journal of the Japanese and International Economies 53(1): 225−245.
    [23]
    Posen, A. S. 2006. Why central banks should not burst bubbles. International Finance 9(1): 109−124. doi: 10.1111/j.1468-2362.2006.00028.x
    [24]
    Primiceri, G. E. 2005. Time varying structural vector autoregressions and monetary policy. Review of Economic Studies 72(3): 15−27.
    [25]
    Roubini, N. 2006. Why central banks should burst bubbles. International Finance 9(1): 87−107. doi: 10.1111/j.1468-2362.2006.00032.x
    [26]
    Seyfried, W. 2010. Monetary policy and housing bubbles: a multinational perspective. Research in Business and Economics Journal 32(2): 1−12.
    [27]
    Svensson, L. E. O. 2004. Asset prices and ECB monetary policy. CEPR Working Paper.

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