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金融研究  2024, Vol. 534 Issue (12): 1-19    
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货币政策分化与跨境银行资本流动的部门间配置——兼论官方部门的“缓冲器”作用
谭小芬, 李子若, 赵茜, 卢冰
北京航空航天大学经济管理学院,北京 100191;
中央财经大学金融学院,北京 102206;
中央财经大学国际经济与贸易学院,北京 102206;
北京师范大学统计学院,北京 100875
Monetary Policy Divergence and the Intersectoral Allocation of Cross-Border Bank Capital Flows: Buffer Role Played by the Official Sector
TAN Xiaofen, LI Ziruo, ZHAO Qian, LU Bing
School of Economics and Management, Beihang University;
School of Finance, Central University of Finance and Economics;
School of International Trade and Economics, Central University of Finance and Economics;
School of Statistics, Beijing Normal University
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摘要 本文基于2005—2019年美国对27个交易对手国的跨境银行资本流动数据,考察交易对手国与美国货币政策分化对跨境银行资本在该国私人部门和官方部门配置的影响。研究发现,总体而言,交易对手国与美国货币政策分化(交易对手国货币政策紧缩或美国货币政策相对扩张)导致利差增大,会增加各交易对手国的跨境银行资本流入,跨境银行总资本流动呈现顺周期特征。分部门来看,利差增大时,私人部门的风险承担意愿提高,使其增加对跨境银行资本的需求,呈现出资本流动的顺周期特征;而官方部门动用外汇储备的动机减弱,倾向于积累储备以缓解私人部门资本过度流入引发的经济压力,呈现出资本流动的逆周期特征。因此,官方部门一定程度上能发挥稳定经济的“缓冲器”作用。此外,通过与财政政策和宏观审慎政策的协调配合,官方部门的逆周期缓冲效果增强。本文为我国有效防范和化解金融风险,推动经济高质量发展提供了有益参考。
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谭小芬
李子若
赵茜
卢冰
关键词:  货币政策分化  跨境银行资本配置  官方部门  私人部门    
Summary:  Given the dominant role of the US dollar in the international monetary system, the cross-border spillover effects of U.S. monetary policy cannot be overlooked. When U.S. monetary policy changes, a country that synchronizes its interest rates with those of the US may partially hedge against these spillover effects through interest rate adjustments, thereby reducing the direct impact on cross-border capital flows. Conversely, if the country fails to align its interest rates with the US, it may face greater risks of capital flow volatility. Therefore, an in-depth exploration of the impact of monetary policy divergence on cross-border capital flows, along with adjustments and optimization of financial policies, is crucial for maintaining global financial stability.
As an important channel for cross-border capital flows, cross-border banks play a pivotal role in the global financial system. When changes occur in the global financial environment or the monetary policy of a major country, cross-border banks often act as “amplifiers” and “transmitters” of risks, causing localized issues to quickly escalate into global financial crises. In addition, when cross-border banks transmit external shocks, they not only affect the private sector's financing environment but also impact the official sector's foreign exchange reserve management. This leads to differences in their behavioral patterns: capital flows in the private sector tend to be pro-cyclical, while those in the official sector exhibit counter-cyclicality. Existing research primarily focuses on the relationship between external shocks, such as global financial cycle or natural disasters, and cross-border capital flows between the two sectors, while giving less attention to how counterparty countries' monetary policy changes relative to the US impact these flows.
This paper constructs a small open economy model that covers both the private and official sectors, and analyzes cross-border bank capital flows from the US to 27 counterparty countries over the period of 2005 to 2019, using both theoretical and empirical approaches. First, the results show that when the monetary policies of the counterparty country and the US are unsynchronized, leading to a wider interest rate differential (with higher rates in the counterparty country), cross-border banking capital inflows generally exhibit pro-cyclical characteristics in the private sector, while the official sector shows counter-cyclical behavior. Then, mechanism analysis reveals that a higher interest rate differential increases the private sector's risk appetite and demand for cross-border capital, driving more capital to flow into the private sector. Simultaneously, the official sector's incentive to intervene in foreign exchange weakens, allowing it to accumulate reserves, reducing capital flows to the official sector. Next, in countries with greater exchange rate flexibility, higher sovereign credit ratings, and better institutional quality, the pro-cyclicality of private sector capital flows is more pronounced, as is the counter-cyclicality in the official sector. Finally, by coordinating with fiscal and macro-prudential policies, the counter-cyclical buffering effect of the official sector becomes stronger.
The marginal contribution of this paper is reflected in three aspects. First, it offers a deep analysis of cross-border capital allocation between the official and private sectors in counterparty countries, enriching existing research. While previous studies mainly focus on domestic and cross-border capital flows within counterparty countries, especially in the private sector, less attention has been given to the allocation between the official and private sectors. The underlying reasons for this remain unexplored. This paper identifies foreign exchange intervention in the official sector as a key factor driving capital allocation in that sector. It also finds that willingness to take on risk, measured by credit allocation risk, plays a critical role in shaping capital allocation within the private sector. These findings provide more detailed and valuable empirical evidence on the direction of cross-border bank credit allocation.
Second, this paper adds to the research on how monetary policy asynchrony affects cross-border capital allocation between peripheral and US-dominated central countries. Existing studies often focus on the impact of US monetary policy changes, typically analyzing either monetary easing or tightening. However, they tend to overlook how differences in monetary policy timing between the US and other countries can lead to significant variations in capital allocation across sectors. By exploring the relative shifts in monetary policies between the US and counterparty countries, this paper offers valuable insights that enhance the current literature.
Third, this paper offers policy insights for counterparty countries to manage cross-border capital inflows. It distinguishes the flows between official and private sectors and examines the factors driving these differences, such as exchange rate elasticity, credit ratings, and institutional quality. The paper also analyzes how the official sector can respond to changes in capital flows, driven by divergent monetary policies, through coordinated policy actions. These insights provide important guidance for managing cross-border capital flow risks.
Keywords:  Monetary Policy Divergence    Cross-border Bank Capital Allocation    Official Sector    Private Sector
JEL分类号:  F34   F21   F23  
基金资助: * 本文感谢国家社会科学基金重大项目(20&ZD101)和国家自然科学基金青年项目(72203023)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  李子若,博士研究生,中央财经大学金融学院,E-mail:lzr030208@163.com.   
作者简介:  谭小芬,经济学博士,教授,北京航空航天大学经济管理学院,E-mail:xiaofent@163.com.
赵 茜,经济学博士,副教授,中央财经大学国际经济与贸易学院,E-mail:berylqian2009@foxmail.com.
卢 冰,经济学博士,副教授,北京师范大学统计学院,E-mail:lubing_1994@163.com.
引用本文:    
谭小芬, 李子若, 赵茜, 卢冰. 货币政策分化与跨境银行资本流动的部门间配置——兼论官方部门的“缓冲器”作用[J]. 金融研究, 2024, 534(12): 1-19.
TAN Xiaofen, LI Ziruo, ZHAO Qian, LU Bing. Monetary Policy Divergence and the Intersectoral Allocation of Cross-Border Bank Capital Flows: Buffer Role Played by the Official Sector. Journal of Financial Research, 2024, 534(12): 1-19.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2024/V534/I12/1
[1]管涛,2022,《中美货币政策分化对中国经济的影响分析》,《中国外汇》第5期,第20~24页。
[2]芦东、刘家琳和周行,2021,《浮动汇率制能有效降低跨境资本流动波动吗?》,《国际金融研究》第11期,第43~54页。
[3]马勇和吕琳,2022,《货币、财政和宏观审慎政策的协调搭配研究》,《金融研究》第1期,第1~18页。
[4]梅冬州、宋佳馨和马振宇,2023,《美联储货币政策紧缩的跨国异质性影响研究》,《金融研究》第7期,第1~20页。
[5]谭小芬、耿亚莹和苟琴,2024,《跨境资本流动、信贷配置风险与银行体系稳定》,《经济研究》第1期,第129~147页。
[6]谭小芬和左振颖,2020,《经济政策不确定性对跨境银行资本流出的影响》,《世界经济》第5期,第73~96页。
[7]王伟、杨娇辉和王凯立,2018,《风险敞口、国家异质性与合意外汇储备规则》,《世界经济》第3期,第101~126页。
[8]张明,2022,《货币政策分化与跨境资本流动》,《清华金融评论》第4期,第57~60页。
[9]Acharya, V. V., T. Eisert, C. Eufinger and C. Hirsch, 2019, “Whatever it Takes: The Real Effects of Unconventional Monetary Policy”, Review of Financial Studies, 32(9), pp.3366~3411.
[10]Adler, G., K. S. Chang, R. Mano and Y. Shao, 2021, “Foreign Exchange Intervention: A Dataset of Public Data and Proxies”, IMF Working Paper, No.2021/047.
[11]Adrian, T. and H. S. Shin, 2010, “Financial Intermediaries and Monetary Economics”, Handbook of Monetary Economics, 3, pp.601~650.
[12]Avdjiev, S., B. Hardy, Š. Kalemli-Özcan and L. Servén, 2022, “Gross Capital Flows by Banks, Corporates, and Sovereigns”, Journal of the European Economic Association, 20(5), pp.2098~2135.
[13]Avdjiev, S., L. Gambacorta, L. S. Goldberg and S. Schiaffi, 2020, “The Shifting Drivers of Global Liquidity”, Journal of International Economics, 125, 103324.
[14]Barajas, M. A., A. Deghi, C. Raddatz, M. Seneviratne, P. Xie and Y. Xu, 2020, “Global Banks' Dollar Funding: A Source of Financial Vulnerability”, IMF Working Paper, No.2020/113.
[15]Bernanke, B. and M. Gertler., 1995, “Inside the Black Box: The Credit Channel of Monetary Policy Transmission”, Journal of Economic Perspectives, 9, pp.27~48.
[16]Bianchi, J., 2011, “Overborrowing and Systemic Externalities in the Business Cycle”, American Economic Review, 101(7), pp. 3400~3426.
[17]Bianchi, J. and C. Sosa-Padilla, 2024, “Reserve Accumulation, Macroeconomic Stabilization, and Sovereign Risk”, Review of Economic Studies, 91(4), pp. 2053~2103.
[18]Bräuning, F. and V. Ivashina, 2020, “Monetary Policy and Global Banking”, The Journal of Finance, 75(6), pp.3055~3095.
[19]Bruno, V. and H. S. Shin, 2015, “Capital Flows and the Risk-taking Channel of Monetary Policy”, Journal of Monetary Economics, 71, pp.119~132.
[20]Cavallino, P., 2019, “Capital Flows and Foreign Exchange Intervention”, American Economic Journal: Macroeconomics, 11(2), pp.127~170.
[21]Correa, R., T. Paligorova, H. Sapriza and A. Zlate, 2022, “Cross-border Bank Flows and Monetary Policy”, The Review of Financial Studies, 35(1), pp.438~481.
[22]Gelos, G., L. Gornicka, R. Koepke, R. Sahay and S. Sgherri, 2022, “Capital Flows at Risk: Taming the Ebbs and Flows”, Journal of International Economics, 134, 103555.
[23]Greenwood, R. and S. G. Hanson, 2013, “Issuer Quality and Corporate Bond Returns”, The Review of Financial Studies, 26(6), pp.1483~1525.
[24]Horn, S., C. M. Reinhart and C. Trebesch, 2020, “Coping with Disasters: Two Centuries of International Official Lending”, NBER Working Paper, No.27343.
[25]Hutchison, M. M., I. Noy and L. Wang, 2010, “Fiscal and Monetary Policies and the Cost of Sudden Stops”, Journal of International Money and Finance, 29 (6), pp.973~987.
[26]Ilzetzki, E., C. M. Reinhart and K. S. Rogoff, 2017, “The Country Chronologies to Exchange Rate Arrangements into the 21st Century: Will the Anchor Currency Hold?”, NBER Working Paper, No.23135.
[27]Kalemli-Özcan, S., 2019, “US Monetary Policy and International Risk Spillovers”, NBER Working Paper, No.26297.
[28]Kim, Y. J. and J. Zhang, 2023, “International Capital Flows: Private versus Public Flows in Developing and Developed Countries”, International Economic Review, 64(1), pp.225~260.
[29]Lutz, F. and L. Zessner-Spitzenberg, 2023, “Sudden Stops and Reserve Accumulation in the Presence of International Liquidity Risk”, Journal of International Economics, 141, 103729.
[30]Nakajima, J., 2011, “Time-varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications”, Monetary and Economic Studies, 29, pp.107~142.
[31]Rey, H., 2015, “Dilemma not Trilemma: the Global Financial Cycle and Monetary Policy Independence”, NBER Working Paper, No.21162.
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