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中国管理科学

中国管理科学 >

2021 , Vol. 29 >Issue 10: 35 - 46

DOI: https://doi.org/10.16381/j.cnki.issn1003-207x.2019.1920

论文

货币政策规则对国际资本流动与人民币汇率的时变影响——基于TVP-SV-VAR模型的实证检验

  • LI Chenggang ,
  • LI Feng ,
  • ZHAO Guanghui
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  • 1.贵州财经大学大数据应用与经济学院，贵州 贵阳550025；2.贵州财经大学工商管理学院，贵州 贵阳550025

收稿日期: 2019-11-23

  修回日期: 2020-03-04

  网络出版日期: 2021-10-21

基金资助

国家自然科学基金资助项目(71561007)

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The Time-varying Effects of Monetary Policy Rules on International Capital Flow and RMB Exchange Rate—— Empirical Test Based on TVP-SV-VAR Model

  • 李成刚，李峰，赵光辉
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  • 1. School of Big Data Applications and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China;2. School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China

Received date: 2019-11-23

  Revised date: 2020-03-04

  Online published: 2021-10-21

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摘要

本文从货币政策理论出发，构建以稳定国际资本流动与人民币汇率的“多目标”货币政策规则理论模型，并采用1998年1月至2019年11月的月度数据，建立开放经济下的TVP-SV-VAR模型，实证检验不同货币政策规则下货币供应冲击、利率冲击对国际资本流动与人民币汇率的时变与动态影响。结果表明：(1)不同时间阶段，货币政策冲击对国际资本流动和人民币汇率的影响存在较强的时变特征。(2)等间隔脉冲响应表明，货币政策冲击对国际资本流动的短期影响效应要高于中长期，而对人民币汇率的影响却存在一定滞后性和扩散性，且价格型规则更有利于熨平外部冲击对国际资本流动与人民币汇率的影响。(3)时点脉冲响应表明，利率冲击对国际资本流动和人民币汇率的影响弱于货币供应冲击，且利率冲击对国际资本流动的影响回到稳态均衡的速度更快。总体来看，在调节国际资本流动和稳定人民币汇率的效果上，价格型规则优于数量型规则，我国央行货币政策选择应逐步从数量型规则向价格型规则转变。

关键词： 货币政策规则; 国际资本流动; 人民币汇率; TVP-SV-VAR模型

本文引用格式

LI Chenggang , LI Feng , ZHAO Guanghui . 货币政策规则对国际资本流动与人民币汇率的时变影响——基于TVP-SV-VAR模型的实证检验[J]. 中国管理科学, 2021 , 29(10) : 35 -46 . DOI: 10.16381/j.cnki.issn1003-207x.2019.1920

Abstract

The main regulatory goals of traditional monetary policy rules are output and inflation, which have a good effect on the stability and development of the macro-economy.With the deep integration of the world economy, the frequent inflow and outflow of international capital and the violent fluctuations of foreign exchange market, which all together have caused the expanding volatility of China’s economy. Therefore, in an open economy, the stability of international capital flows and exchange rate are consideredvital economic indicators that a country's central bank shouldtake into seriousconsider when formulating monetary policy. However, there are disagreement on whether quantitative or price rules are more effective in stabilizing international capital flows and RMB exchange rate. In view of this, the “multi-objective” monetary policy rule theoretical model is construated to stabilize international capital flow and RMB exchange rate. And using monthly data from January 1998 to November 2019, the TVP-SV-VAR model is established in an open economyto empirically test the time-varying and dynamic impact of money supply shock and interest rate shock on international capital flow and RMB exchange rate under different monetary policy rules. The results show that: (1) An different time periods, the impact of monetary policy shock on international capital flows and RMB exchange rate have strong time-varying characteristics. (2) The equal interval impulse response shows that the short-term effect of monetary policy shocks on international capital flows is higher than that in the medium and long-term, but the impact on the RMB exchange rate show signs of hysteresis and diffusion, and price rules are more conducive to smoothing the impact of external shocks on international capital flows and RMB exchange rate. (3) The point-in-time impulse response shows that the impact of interest rate shocks on international capital flows and RMB exchange rate is weaker than that of money supply shocks, and the impact of interest rate shocks on international capital flows returns to steady-state equilibrium more quickly. Therefore, price rule is superior to quantitative rule in the effect of stabilizing international capital flow and RMB exchange rate. The choice of monetary policy rules of the Chinese central bank should gradually change from quantitative rule to price rule, which also serves the best choice for the Chinese central bank to implement monetary policy to regulate macro-economy in the post-financial crisis era.

Key words： monetary policy rules; international capital flow; RMB exchange rate; tvp-sv-var model

参考文献

[1] 陈创练, 杨子晖. “泰勒规则”、资本流动与汇率波动研究 [J] . 金融研究, 2012(11): 60-73.Chen Chuanglian, Yang Zihui. Research on “Taylor Rule”, capital flow and exchange rate fluctuation [J] . Journal of Financial Research,2012(11):60-73.
[2] Bennett T. Mc Callum.Monetarist rules in the light of recent experience [J] . American Economic Review,1984,74 (2):388-391.
[3] Taylor J B. Discretion versus policy rules in practice [R] . Camegie-Rochester Conference Series On Public Policy, 1993, 39: 195-214.
[4] Sims C A. Interpreting the macroeconomic time series facts: The effects of monetary policy [J] . European Economic Review, 1992, 36(5): 975-1000.
[5] Mishkin F S. Globalization, Macroeconomic performance, and monetary policy [J] . Journal of Money Credit and Banking, 2009, 41(s1):187-196.
[6] 王君斌. 通货膨胀惯性、产出波动与货币政策冲击:基于刚性价格模型的通货膨胀和产出的动态分析 [J] . 世界经济, 2010, 33(3): 71-94.Wang Junbin. Inflation Inertia, Output fluctuation and monetary policy shock: A dynamic analysis of inflation and output based on the rigid price model [J] . The Journal of World Economy,2010,33(3):71-94.
[7] 张龙, 金春雨.数量型和价格型货币政策工具的有效性对比研究 [J] . 中国工业经济, 2018(1): 119-136.Zhang Long, Jin Chunyu. The comparative study on the effectiveness of quantitative and price-based monetary policy tools [J] . China Industrial Economics,2018(1):119-136.
[8] 吴吉林, 张二华. 我国货币政策操作中的数量规则无效吗? [J] . 经济学(季刊), 2015, 14 (3): 827-852.Wu Jilin, Zhang Erhua. Is China’s monetary quantitative rule invalid? [J] . China Economic Quarterly,2015,14(3):827-852.
[9] 张屹山, 孟宪春, 李天宇. 我国货币政策转型机制研究——基于国际经验视角 [J] . 数量经济研究, 2017, 8(1): 14-28.Zhang Yishan, Meng Xianchun, Li Tianyu. Research on the transformation mechanism of monetary policy: Based on international experience [J] . The Journal of Quantitative Economics,2017,8(1):14-28.
[10] 谭政勋, 王聪. 房价波动、货币政策立场识别及其反应研究 [J] . 经济研究,2015, 50(1): 67-83.Tan Zhengxun, Wang Cong. The fluctuation of house price, stance and response of monetary policy [J] . Economic Research Journal,2015,50(1):67-83.
[11] 陈其安,雷小燕.货币政策、投资者情绪与中国股票市场波动性:理论与实证 [J] . 中国管理科学, 2017, 25(11): 1-11.Chen Qian, Lei Xiaoyan. Monetary policy, Investor sentiment and volatility of chinese stock market: Theory and evidence [J] . Chinese Journal of Management Science,2017,25(11):1-11.
[12] Bruno V, Shin H S. Capital flows and the risk-taking channel of monetary policy [J] . Journal of Monetary Economics, 2015, 71(2):119-132.
[13] Banerjee R, Devereux M B, Lombardo G. Self-oriented monetary policy, global financial markets and excess volatility of international capital flows [J] . Journal of International Money & Finance, 2016, 68(1):275-297.
[14] 王胜. 国际货币、汇率传递与货币政策 [J] . 金融研究, 2015(3): 18-35.Wang Sheng. The international money, exchange rate pass-through and monetary policy [J] . Journal of Financial Research,2015(3):18-35.
[15] Batini N, Harrison R, Millard S P. Monetary policy rules for an open economy [J] . Journal of Economic Dynamics and Control, 2003, 27(11-12): 2059-2094.
[16] 陈创练, 姚树洁, 郑挺国, 等. 利率市场化、汇率改制与国际资本流动的关系研究 [J] . 经济研究, 2017, 52(4): 64-77.Chen Chuanglian, Yao Shujie, Zheng Tingguo, et al. Interest rate liberalization, exchange rate reform, and international capital flow [J] . Economic Research Journal,2017,52(4):64-77.
[17] 宋翠玲, 乔桂明. 国际短期资本流动对货币政策有效性的影响分析——基于VAR模型和脉冲响应函数的研究 [J] . 审计与经济研究, 2014, 29(5): 97-104.Song Cuiling, Qiao Guiming. International short-term capital flow’s influence on the effectiveness of monetary policy: Based on vector auto regression and impulse response function [J] . Journal of Audit & Economics,2014,29(5):97-104.
[18] 叶德磊,陈欣. 利率水平、股票指数与资本的国际流动——理论模型与实证检验 [J] . 世界经济研究, 2011(4): 20-23+61+87.Ye Delei, Chen Xin. Interest rate level, stock index and international capital flow: Theoretical model and empirical test [J] . World Economy Studies,2011(4):20-23+61+87.
[19] 何金旗, 张瑞. 人民币国际化、汇率波动与货币政策互动关系研究 [J] . 审计与经济研究, 2016, 31(3): 120-129.He Jinqi, Zhangrui. The study on the interactive relationship among the internationalization of RMB, exchange rate volatility and monetary policy [J] . Journal of Audit & Economics,2016,31(3):120-129.
[20] Sarantis N. Testing the uncovered interest parity using traded volatility, a time-varying risk premium and heterogeneous expectations [J] . Journal of International Money and Finance, 2006, 25(7):0-1186.
[21] 吴丽华, 傅广敏. 人民币汇率、短期资本与股价互动 [J] . 经济研究, 2014, 49(11): 72-86.Wu Lihua, Fu Guangmin. RMB exchange rate, short-turn capital flows and stock price [J] . Economic Research Journal,2014,49(11):72-86.
[22] Dieci R, Westerhoff F. Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates [J] . Journal of Economic Dynamics and Control, 2010, 34(4):743-764.
[23] 王爱俭, 王璟怡. 宏观审慎政策效应及其与货币政策关系研究 [J] . 经济研究, 2014, 49(4): 17-31.Wang Aijian, Wang Jingyi. Effect of the macro-prudential policy and the relationship between monetary policy and macro-prudential policy [J] .EconomicResearch Journal,2014,49(4):17-31.
[24] 王曦, 汪玲, 彭玉磊, 等. 中国货币政策规则的比较分析——基于DSGE模型的三规则视角 [J] . 经济研究, 2017, 52(9): 24-38.Wang Xi, Wang Ling, Peng Yulei, et al. A comparative study of China’s monetary policy rules: On the perspective of three rules based on the DSGE Model [J] . Economic Research Journal,2017,52(9):24-38.
[25] Primiceri, Giorgio E. Time varying structural vector autoregressions and monetary policy [J] . Review of Economic Studies, 2005, 72(3):821-852.
[26] Nakajima J. Time-varying parameter VAR model with stochastic volatility: An overview of methodology and empirical applications [J] . Monetary and Economic Studies, 2011, (29): 107-142.
[27] 庄子罐, 贾红静, 刘鼎铭. 货币政策的宏观经济效应研究: 预期与未预期冲击视角 [J] . 中国工业经济, 2018(7): 80-97.Zhuang Ziguan, Jia Hongjing, Liu Dingming, et al. A study on the macroeconomic effects of monetary policy: Perspective of anticipated and unanticipated shocks [J] . China Industrial Economics,2018(7):80-97.
[28] 伍戈, 连飞. 中国货币政策转型研究:基于数量与价格混合规则的探索 [J] .世界经济, 2016, 39(3):3-25.Wu Ge, Lian Fei. Research on the transformation of China’s monetary policy: Exploration based on the mixed rule of quantity and price [J] . The Journal of World Economy,2016,39(3):3-25.
[29] 李天宇, 张屹山, 张鹤.我国宏观审慎政策规则确立与传导路径研究——基于内生银行破产机制的BGG-DSGE模型 [J] . 管理世界, 2017,33(10): 20-35+187.Li Tianyu, Zhang Qishan, Zhang He. Research on macro-prudential policy rules and the conduction path [J] . Management World,2017,33(10): 20-35+187.
[30] 李成刚, 杨兵. 数量型规则和价格型规则的最优组合研究——基于动态随机一般均衡模型的分析 [J] . 金融经济学研究, 2018, 33(2):25-36.Li Chenggang, Yang Bing. Study on optimal combination of quantity-based and price-based regulations: An analysis using the DSGE model [J] . Financial Economics Research,2018,33(2):25-36.
[31] 赵进文, 张敬思. 人民币汇率、短期国际资本流动与股票价格——基于汇改后数据的再检验 [J] . 金融研究, 2013(1):9-23.Zhao Jinwen, Zhang Jingsi. RMB exchange rate, short-term international capital flows and stock prices: Re-examination based on data after the exchange rate reform [J] . Journal of Financial Research,2013(1):9-23.
[32] 司登奎, 李小林, 江春,葛新宇. 投资者情绪、股价与汇率变动的非线性联动效应研究 [J] . 国际金融研究, 2019(7): 66-75.Si Dengkui, Li Xiaolin, Jiang Chun, et al. Research on the nonlinear linkage effect of investor sentiment, stock price and exchange rate changes [J] . Studies of International Finance,2019(7):66-75.
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