Please wait a minute...
金融研究  2021, Vol. 493 Issue (7): 77-94    
  本期目录 | 过刊浏览 | 高级检索 |
美国货币政策溢出效应、中国资产价格波动与资本账户管理
吴立元, 赵扶扬, 王忏, 龚六堂
中国社会科学院世界经济与政治研究所,北京 100732;
中央财经大学经济学院,北京 100081;
中央财经大学金融学院,北京 100081;
北京工商大学国际经管学院,北京 100048;
北京大学数量经济与数理金融教育部重点实验室,北京 100871
Spillover Effects of U.S. Monetary Policy, China's Asset Price Fluctuations and Capital Account Control
WU Liyuan, ZHAO Fuyang, WANG Chan, GONG Liutang
Institute of World Economics and Politics, Chinese Academy of Social Science;
School of Economics, Central University of Finance and Economics;
School of Finance,Central University of Finance and Economics;
School of International Economics and Management, Beijing Technology and Business University;
LMEQF, Peking University
下载:  PDF (1752KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 本文以2016年美国加息事件为背景,研究美国货币政策对中国资本流动、资产价格和宏观经济的影响。基于小国开放动态随机一般均衡模型,本文梳理了美国货币政策溢出效应的具体传导渠道,发现国外利率升高后,资本流动具有外部性,导致国内资产价格下跌,其通过金融加速器进一步使国内投资下降、资产价格进一步下跌,从而使得国内资产预期回报进一步下降,加剧资本外流。基于政策和福利分析,本文发现资本账户管理可以有效缓解国外利率冲击对经济波动的影响,同时会提高货币政策的独立性,但也会影响国民财富的最优配置。因此,最优的资本账户管理应同时兼顾宏观审慎和效率两个方面。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
吴立元
赵扶扬
王忏
龚六堂
关键词:  美国货币政策  资产价格  资本账户管理  宏观经济波动    
Summary:  A bulk of empirical studies have confirmed the spillover effects of U.S. monetary policy on China and other emerging market countries. The U.S. Federal Reserve resumed its quantitative easing policy in 2020. This resulted in the federal funding rate falling to zero, a dramatic expansion of the Federal Reserve's balance sheet, and a global flood of liquidity. Currently, the U.S. economy is gradually recovering, and inflation is rising.It is therefore expected that the Federal Reserve will soon tighten monetary policy and increase the federal funding rate. This implies that emerging market countries, including China, may once again experience a shortage of liquidity and interest rate hikes, in contrast to the current extremely fluid monetary policy. This raises the following three key questions. What are the spillover effects of U.S. monetary policy on China's economy? What is the mechanism of such spillover effects? What policies could stabilize the fluctuations caused by these spillover effects? This paper aims to answer these questions with reference to the Federal Reserve's interest rate hike in 2016.
Based on Davis and Presno(2017),we contruct a small open economy dynamic stochastic general equilibrium model(DSGE)with financial friction and a real estate market.We thereby propose the causative mechanism as follows:The increase in U.S. interest rates generates externalities in the flow of capital, which accelerates the decline of domestic asset prices. This triggers the first feedback channel, which is driven by financial friction, leading to the synergistic decline of domestic investment and asset prices. Thus, the expected return on domestic assets is reduced, which triggers a second feedback channel and further increases capital outflows.
In addition,we use welfare analysis to determine the optimal level of capital account control and its effect on the independence of monetary policy. This reveals the optimal level of capital account control should be moderate, as such control has two opposing effects: capital account control can effectively alleviate the influence of foreign interest-rate shocks on economic fluctuations while it can also decrease the efficient allocation of national wealth. The optimal level of capital account control must therefore balance macro-prudence and efficiency. What's more,we find that appropriate policies for capital account control help to enhance the independence of monetary policy.
In contrast to previous studies, we simultaneously replicate and explicate, within a unified framework, the characteristics of China's macroeconomy subsequent to the U.S. Federal Reserve's interest rate hike in 2016. We also propose a mechanism for the interaction between the feedback channels of capital flow externalities and financial accelerators, which links the spillover effects of U.S. monetary policy with asset price fluctuations. This confirms that China's real estate market is a key channel via which U.S. monetary shocks affect China's economy.
Based on the above findings, we make the following policy recommendations. First, capital account control should be gradually transformed to capital account management. This requires the gradual liberalization of long-term capital account restrictions and the establishment of a regular mechanism for the management of abnormal capital flows. Second, more market-oriented dynamic measures for capital account management should be explored, such as risk reserves, Tobin taxes, and macro-prudential taxes. Third, while the opening of the capital account is gradually and steadily promoted, policies should be developed to increase reform depth and risk prevention. Increasing reform depth requires the marketization of the RMB exchange rate formation mechanism and the opening of the financial market, whereas increasing risk prevention requires the gradual implementation of policy experiments in lower risk fields.
Keywords:  The U.S. Monetary Policy    Asset Price    Capital Account Control    Macroeconomic Fluctuations
JEL分类号:  C51   E32   E52  
基金资助: * 本文感谢国家社会科学基金重大项目(19ZDA069)、国家社会科学基金重大招标项目(21ZDA034)、国家自然科学基金青年项目(72003211)、教育部人文社会科学研究青年研究项目(20YJC790184)、中央高校基本科研业务费专项资金、中央财经大学科研创新团队支持计划、中央财经大学标志性科研成果培育项目的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  赵扶扬,经济学博士,讲师,中央财经大学经济学院,E-mail:fyzhao@cufe.edu.cn.   
作者简介:  吴立元,经济学博士,助理研究员,中国社会科学院世界经济与政治研究所,E-mail:wuly@pku.edu.cn.
王 忏,经济学博士,副教授,中央财经大学金融学院,E-mail:wangchanist@126.com.
龚六堂,数学博士,教授,北京工商大学国际经管学院、北京大学数量经济与数理金融教育部重点实验室,E-mail:ltgong@gsm.pku.edu.cn.
引用本文:    
吴立元, 赵扶扬, 王忏, 龚六堂. 美国货币政策溢出效应、中国资产价格波动与资本账户管理[J]. 金融研究, 2021, 493(7): 77-94.
WU Liyuan, ZHAO Fuyang, WANG Chan, GONG Liutang. Spillover Effects of U.S. Monetary Policy, China's Asset Price Fluctuations and Capital Account Control. Journal of Financial Research, 2021, 493(7): 77-94.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2021/V493/I7/77
[1] 傅广敏,2017,《美联储加息、人民币汇率与价格波动》,《国际贸易问题》第3期,第131~142页。
[2] 顾海峰和卞雨晨,2020,《跨境资本流动、资产价格与银行流动性风险——货币政策不确定性与银行业竞争的调节作用》,《财经科学》第12期,第13~27页。
[3] 郝大鹏、王博和李力,2020,《美联储政策变化、国际资本流动与宏观经济波动》,《金融研究》第7期,第38~56页。
[4] 何国华和李洁,2017,《跨境资本流动、金融波动与货币政策选择》,《国际金融研究》第9期,第3~13页。
[5] 何青、钱宗鑫和郭俊杰,2015,《房地产驱动了中国经济周期吗?》,《经济研究》第12期,第41~53页。
[6] 侯成琪和龚六堂,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》第10期,第15~33页。
[7] 姜富伟、郭鹏和郭豫媚,2019,《美联储货币政策对我国资产价格的影响》,《金融研究》第5期,第37~55页。
[8] 李力、王博、刘潇潇和郝大鹏,2016,《短期资本、货币政策和金融稳定》,《金融研究》第9期,第18~32页。
[9] 林细细和龚六堂,2007,《生产性公共开支经济中政府债务的福利损失》,《管理世界》第8期,第4~11页。
[10] 刘传哲和陈慧莹,2018,《美联储加息对资本市场的影响研究——基于时变视角下的分析》,《价格理论与实践》第5期,第107~110页。
[11] 王博和王开元,2018,《汇率改革、短期国际资本流动与资产价格》,《金融论坛》第4期,第56~68页。
[12] 王冠楠和项卫星,2017,《金融摩擦与宏观经济的外部脆弱性——基于美联储加息政策的分析视角》,《国际金融研究》第7期,第13~23页。
[13] 王频和侯成琪,2017,《预期冲击、房价波动与经济波动》,《经济研究》第4期,第48~63页。
[14] 王申和陶士贵,2015,《人民币汇率、短期国际资本流动与资产价格》,《金融论坛》第7期,第59~70页。
[15] 温兴春和梅冬州,2020,《金融业开放、金融脆弱性以及危机跨部门传递》,《世界经济》第10期,第144~168页。
[16] 严成樑,2020,《通货膨胀的产业结构变迁效应与社会福利损失》,《世界经济》第2期,第49~73页。
[17] 张勇,2015,《热钱流入、外汇冲销与汇率干预——基于资本管制和央行资产负债表的DSGE分析》,《经济研究》第7期,第116~130页。
[18] 赵扶扬、王忏和龚六堂,2017,《土地财政与中国经济波动》,《经济研究》第12期,第46~61页。
[19] 朱孟楠、丁冰茜和闫帅,2017,《人民币汇率预期、短期国际资本流动与房价》,《世界经济研究》第7期,第17~29页。
[20] 朱孟楠和闫帅,2017,《异质性投资视角下短期国际资本流动与资产价格》,《国际金融研究》第2期,第36~44页。
[21] 庄子罐、崔小勇、龚六堂和邹恒甫,2012,《预期与经济波动——预期冲击是驱动中国经济波动的主要力量吗?》,《经济研究》第6期,第46~59页。
[22] Bianchi, J., 2011. “Overborrowing and Systemic Externalities in the Business Cycle”, The American Economic Review, 101(7): 3400~3426.
[23] Bianchi, C. A., 2013. “Housing Cycles and Macroeconomic Fluctuations: A Global Perspective”, Journal of International Money and Finance, 37: 215~238.
[24] Bianchi, C. A., A. Ferrero and A. Rebucci, 2018. “International Credit Supply Shocks”, Journal of International Economics, 112: 219~237.
[25] Bianchi, C. A., L. F. Cespedes and A. Rebucci, 2015, Global Liquidity, House Prices, and the Macroeconomy:Evidence from Advanced and Emerging Economies, INTERNATIONAL MONETARY FUND.
[26] Calvo, G. A., 1983. “Staggered Prices in a Utility-Maximizing Framework”, Journal of Monetary Economics, 12(3): 383~398.
[27] Chang, C., Z. Liu and M. M. Spiegel, 2015. “Capital Controls and Optimal Chinese Monetary Policy”, Journal of Monetary Economics, 74: 1~15.
[28] Christiano, L. J., R. Motto and M. Rostagno, 2014. “Risk Shocks”, American Economic Review, 104(1): 27~65.
[29] Davis, J. S. and I. Presno, 2017. “Capital Controls and Monetary Policy Autonomy in a Small Open Economy”, Journal of Monetary Economics, 85: 114~130.
[30] Eickmeier, S. and T. Ng, 2015. “How Do US Credit Supply Shocks Propagate Internationally? A GVAR Approach”, European Economic Review, 74: 128~145.
[31] Engel, C., 2011. “Currency Misalignments and Optimal Monetary Policy: A Reexamination”, American Economic Review, 101(6): 2796~2822.
[32] Galí, J., 2015, Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework and its Applications, Princeton University Press.
[33] Galí, J. and T. Monacelli, 2005. “Monetary Policy and Exchange Rate Volatility in a Small Open Economy”, The Review of Economic Studies, 72(3): 707~734.
[34] Gong, L., C. Wang and H. Zou, 2016. “Optimal Monetary Policy with International Trade in Intermediate Inputs”, Journal of International Money and Finance, 65: 140~165.
[35] Huang, X., T. Jin and J. Zhang, 2018. “Monetary Policy, Hot Money and Housing Price Growth Across Chinese Cities”, Hot Money and Housing Price Growth Across Chinese Cities (October 25, 2018).
[36] Hummels, D., 1999. “Toward a Geography of Trade Costs”.
[37] Iacoviello, M. and S. Neri, 2010. “Housing Market Spillovers: Evidence from an Estimated DSGE Model”, American Economic Journal. Macroeconomics, 2(2): 125~164.
[38] Kiyotaki, N. and J. Moore, 1997. “Credit Cycles”, The Journal of Political Economy, 105(2): 211~248.
[39] Liu, Z., P. Wang and T. Zha, 2013. “Land‐Price Dynamics and Macroeconomic Fluctuations”, Econometrica, 81(3): 1147~1184.
[40] Neely, C. J., 2015. “Unconventional Monetary Policy Had Large International Effects”, Journal of Banking & Finance, 52: 101~111.
[41] Schmitt-Grohé, S. and M. Uribe, 2003. “Closing Small Open Economy Models”, Journal of International Economics, 61(1): 163~185.
[42] Schmitt-Grohé, S. and M. Uribe, 2012. “What's News in Business Cycles”, Econometrica, 80(6): 2733~2764.
[43] Schmitt-Grohé, S. and M. Uribe, 2016. “Downward Nominal Wage Rigidity, Currency Pegs, and Involuntary Unemployment”, The Journal of Political Economy, 124(5): 1466~1514.
[44] Smets, F. and R. Wouters, 2007. “Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach”, The American Economic Review, 97(3): 586~606.
[45] Uribe, M. and V. Z. Yue, 2006. “Country Spreads and Emerging Countries: Who Drives Whom?”, Journal of International Economics, 69(1): 6~36.
[1] 梅冬州, 温兴春, 王思卿. 房价调控、地方政府债务与宏观经济波动[J]. 金融研究, 2021, 487(1): 31-50.
[2] 庄子罐, 贾红静, 刘鼎铭. 居民风险偏好与中国货币政策的宏观经济效应——基于DSGE模型的数量分析[J]. 金融研究, 2020, 483(9): 40-58.
[3] 闫先东, 张鹏辉. 土地价格、土地财政与宏观经济波动[J]. 金融研究, 2019, 471(9): 1-18.
[4] 谭小芬, 李源, 苟琴. 美国货币政策推升了新兴市场国家非金融企业杠杆率吗?[J]. 金融研究, 2019, 470(8): 38-57.
[5] 姜富伟, 郭鹏, 郭豫媚. 美联储货币政策对我国资产价格的影响[J]. 金融研究, 2019, 467(5): 37-55.
[6] 刘晓星, 石广平. 杠杆对资产价格泡沫的非对称效应研究[J]. 金融研究, 2018, 453(3): 53-70.
[7] 王曦, 朱立挺, 王凯立. 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[J]. 金融研究, 2017, 449(11): 1-17.
[8] 李少昆. 美国货币政策是全球发展中经济体外汇储备影响因素吗?[J]. 金融研究, 2017, 448(10): 68-82.
[9] 张翔, 刘璐, 李伦一. 国际大宗商品市场金融化与中国宏观经济波动[J]. 金融研究, 2017, 439(1): 35-51.
[10] 谢红军, 蒋殿春. 竞争优势、资产价格与中国海外并购[J]. 金融研究, 2017, 439(1): 83-98.
[11] 陆前进. 最优货币政策规则参数的估计和中国货币状况指数的测度[J]. 金融研究, 2016, 431(5): 35-50.
[1] 李万福, 杜静, 张怀. 创新补助究竟有没有激励企业创新自主投资——来自中国上市公司的新证据[J]. 金融研究, 2017, 448(10): 130 -145 .
[2] 邱晗, 黄益平, 纪洋. 金融科技对传统银行行为的影响——基于互联网理财的视角[J]. 金融研究, 2018, 461(11): 17 -30 .
[3] 冀云阳, 毛捷, 文雪婷. 地方公共债务与资本回报率——来自新口径债务数据和三重机制检验的经验证据[J]. 金融研究, 2021, 492(6): 1 -20 .
[4] 李敏波, 梁爽. 监测系统性金融风险——中国金融市场压力指数构建和状态识别[J]. 金融研究, 2021, 492(6): 21 -38 .
[5] 周广肃, 李力行, 孟岭生. 智能化对中国劳动力市场的影响——基于就业广度和强度的分析[J]. 金融研究, 2021, 492(6): 39 -58 .
[6] 诸竹君, 宋学印, 张胜利, 陈丽芳. 产业政策、创新行为与企业加成率——基于战略性新兴产业政策的研究[J]. 金融研究, 2021, 492(6): 59 -75 .
[7] 陈斌开, 张淑娟, 申广军. 义务教育能提高代际流动性吗?[J]. 金融研究, 2021, 492(6): 76 -94 .
[8] 姜富伟, 胡逸驰, 黄楠. 央行货币政策报告文本信息、宏观经济与股票市场[J]. 金融研究, 2021, 492(6): 95 -113 .
[9] 寇宗来, 千茜倩. 私有信息、评级偏差和中国评级机构的市场声誉[J]. 金融研究, 2021, 492(6): 114 -132 .
[10] 陆婷, 徐奇渊. 中国企业杠杆:一个周期性问题?[J]. 金融研究, 2021, 488(2): 1 -19 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1