Please wait a minute...
金融研究  2023, Vol. 511 Issue (1): 57-74    
  本期目录 | 过刊浏览 | 高级检索 |
货币政策和银行风险承担:一种非线性关系
杨海维, 侯成琪
武汉大学经济与管理学院,湖北武汉 430072;
北京理工大学人文与社会科学学院,北京 100081
Monetary Policy and Bank Risk-taking: A Non-linear Relationship
YANG Haiwei, HOU Chengqi
School of Economics and Management,Wuhan University;
School of Humanities and Social Sciences,Beijing Institute of Technology
下载:  PDF (556KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 宽松的货币政策会通过估值、收入和现金流机制,追逐收益机制以及中央银行沟通和反应机制等渠道增加银行风险承担,通过风险转移机制降低银行风险承担,从而导致货币政策与银行风险承担之间可能存在复杂的非线性关系。本文使用面板阈值模型,基于我国银行业数据研究了货币政策对银行风险承担的影响,发现我国货币政策对银行风险承担的影响存在门限效应,即货币政策对银行风险承担的影响取决于货币政策基准利率偏离泰勒规则利率的程度。当这种偏离小于门限值时,宽松货币政策会增加银行风险承担;当这种偏离大于门限值时,宽松货币政策会降低银行风险承担。本文研究对更好地理解我国货币政策对银行风险承担及金融稳定的影响有一定参考意义。
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
杨海维
侯成琪
关键词:  货币政策  银行风险承担  非线性  面板阈值模型    
Summary:  In recent years, China's economy has been under considerable downward pressure due to the COVID-19 pandemic, the shift in economic growth pattern and an increasingly severe external environment. How to ensure financial stability while making good use of various monetary policy tools and guiding financial institutions to better meet the financing needs of the real economy is one of the priorities of our current financial work. Commercial banks occupy a dominant position in China's financial structure system. Preventing bank risks is related to the stability of the whole financial system. Therefore, it is of great significance to deeply study the monetary policy and bank risk-taking nexus.
Chinese scholars have made many valuable researches on the risk-taking channels of monetary policy, and the conclusion is basically the same, that is, accommodative monetary policy increases the bank risk-taking. However, these studies mainly focus on the linear relationship between monetary policy and bank risk-taking, while the nonlinear relationship is not involved. At the same time, most studies do not distinguish between risk-taking channels and traditional credit channels in their empirical analysis, which will have a great impact on the identification of risk-taking channels. In addition, China's implementation of various policies to stimulate economic growth after the 2008 financial crisis has had an impact on banks' risk-taking, which is currently not studied in the Chinese literature.
This paper firstly theoretically analyzes the mechanism of monetary policy affecting bank risk-taking, and finds that accommodative monetary policy will increase bank risk-taking through valuation, income and cash flow mechanism, search for yield mechanism, central bank communication and response mechanism, and reduce bank risk-taking through risk transfer mechanism. As a result, there may be a complex nonlinear relationship between monetary policy and bank risk-taking. On the basis of theoretical analysis, this paper uses the data of 166 commercial banks (including 5 large state-owned commercial banks, 12 joint-stock commercial banks, 99 urban commercial banks and 50 rural commercial banks) in the China Banking Database of Wuhan University and panel threshold model to make an empirical analysis of China's monetary policy risk-taking channels. In the empirical analysis, this paper uses Z-score and risk-weighted asset ratio as proxy variables of banks' risk-taking, and uses the spread between benchmark interest rate and Taylor rule interest rate as proxy variables and threshold variables of monetary policy stance. It not only empirically tests whether there is a nonlinear relationship between monetary policy and bank risk-taking, but also examines the channels of risk-taking during the special period after the 2008 financial crisis when China implemented various policies to stimulate economic growth.
This paper finds that there is a threshold effect on the impact of monetary policy on the banks' risk-taking, that is, the impact of monetary policy on the banks' risk-taking depends on the extent to which the interest rate deviates from the Taylor rule interest rate (i.e., the Taylor gap). The critical value of Taylor gap estimated in this paper is-1.99, before and after the critical value, the impact of monetary policy on bank risk-taking will reverse. When the Taylor gap is-198.97 basis points or lower, a 1% cut in interest rate will decrease the Z-score by about 5.11 units, that is, the accommodative monetary policy will increase the banks' risk-taking. Conversely, when the Taylor gap is greater than-198.97 basis points, a 1% cut in interest rates will increase the Z-score by about 2.24 units, i.e. accommodative monetary policy would reduce banks' risk-taking. In addition, after the 2008 financial crisis (during 2008-2010), China implemented various policies to stimulate economic growth, which not only increased the banks' risk-taking, but also amplified the impact of monetary policy on the banks' risk-taking.
The complex nonlinear effects of monetary policy on bank risk-taking mean that monetary policy also has complex nonlinear effects on financial stability. Although there is still controversy between economists and central banks on whether financial stability should be taken as one of the ultimate goals of monetary policy, the existence of bank risk-taking channels on the one hand requires central banks to pay attention to the response of monetary policy to financial stability while maintaining economic stability; on the other hand, it also requires the improvement of macro-prudential policy framework. We should establish a long-term mechanism for preventing and defusing financial risks. Because monetary policy has a complex non-linear impact on financial stability, and economic stability and financial stability have complex interactions, we must strengthen coordination and cooperation between monetary policy and macro-prudential policy, coordinate economic development and risk prevention, strive to stabilize the overall macroeconomic situation, and maintain the overall stability of the financial system.
Keywords:  Monetary Policy    Bank Risk-taking    Nonlinear    Panel Threshold Model
JEL分类号:  E44   E58   G21  
基金资助: * 本文感谢国家自然科学基金项目“时间维度的宏观审慎政策:传导机制、政策规则与政策协调”(72073104)、国家社会科学基金重大项目“货币政策分配效应与缩小收入和财富差距的有效路径研究”(20&ZD105)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  侯成琪,管理学博士,教授,北京理工大学人文与社会科学学院,E-mail:cqhou@bit.edu.cn.   
作者简介:  杨海维,博士研究生,武汉大学经济与管理学院,E-mail:hwyangwuhee@sina.com.
引用本文:    
杨海维, 侯成琪. 货币政策和银行风险承担:一种非线性关系[J]. 金融研究, 2023, 511(1): 57-74.
YANG Haiwei, HOU Chengqi. Monetary Policy and Bank Risk-taking: A Non-linear Relationship. Journal of Financial Research, 2023, 511(1): 57-74.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2023/V511/I1/57
[1] 方意和陈敏,2019,《经济波动、银行风险承担与中国金融周期》,《世界经济》第2期,第3~25页。
[2] 方意和方明,2012,《中国货币市场基准利率的确立及其动态关系研究》,《金融研究》第7期,第84~97页。
[3] 蒋海、张小林、唐绅峰和陈创练,2021,《货币政策、流动性与银行风险承担》,《经济研究》第8期,第56~73页。
[4] 江曙霞和陈玉婵,2012,《货币政策、银行资本与风险承担》,《金融研究》第4期,第1~16页。
[5] 金鹏辉、张翔和高峰,2014,《银行过度风险承担及货币政策与逆周期资本调节的配合》,《经济研究》第6期,第73~85页。
[6] 李双建和田国强,2020,《银行竞争与货币政策银行风险承担渠道:理论与实证》,《管理世界》第4期,第149~167页。
[7] 马勇和姚驰,2021,《双支柱下的货币政策与宏观审慎政策效应——基于银行风险承担的视角》,《管理世界》第6期,第51~70页。
[8] 牛晓健和裘翔,2013,《利率与银行风险承担——基于中国上市银行的实证研究》,《金融研究》第4期,第15~27页。
[9] 王晋斌和李博,2017,《中国货币政策对商业银行风险承担行为的影响研究》,《世界经济》第1期,第25~43页。
[10] 汪莉,2017,《隐性存保、“顺周期”杠杆与银行风险承担》,《经济研究》第10期,第67~81页。
[11] 项后军、郜栋玺和陈昕朋,2018,《基于“渠道识别”的货币政策银行风险承担渠道问题研究》,《管理世界》第8期,第55~66页。
[12] 熊海芳和王志强,2013,《利率平滑与央行货币政策的非对称性——中国的证据》,《金融研究》第11期,第41~54页。
[13] 易纲,2021,《中国的利率体系与利率市场化改革》,《金融研究》第9期,第1~11页。
[14] 张敬思和曹国华,2016,《资本约束、银行风险承担与经济资本——基于中国53家商业银行的经验研究》,《国际金融研究》第12期,第64~73页。
[15] 张强、乔熠峰和张宝,2013,《中国货币政策的银行风险承担渠道存在吗?》,《金融研究》第8期,第84~97页。
[16] 张雪兰和何德旭,2012,《货币政策立场与银行风险承担——基于中国银行业的实证研究(2000-2010)》,《经济研究》第5期,第31~44页。
[17] Adrian, T. and Shin, H. S., 2009. “Money, Liquidity and Monetary Policy”, American Economic Review, 99(2):600~605.
[18] Adrian, T. and Shin, H. S., 2011. “Financial Intermediaries and Monetary Economics”, Handbook of Monetary Economics, 3:601~650.
[19] Afonso, G., Santos, J. and Traina, J., 2014. “Do ‘too-big-to-fail' Banks Take on More Risk”, Federal Reserve Bank of New York Economic Policy Review, 20(2).
[20] Agur, I. and Demertzis, M., 2012. “Excessive Bank Risk Taking and Monetary Policy”, ECB Working Paper 1457.
[21] Altunbas, Y., Gambacorta, L. and Marques-Ibanez, D., 2014. “Does Monetary Policy Affect Bank Risk-Taking?” International Journal of Central Banking,95~135.
[22] Beltratti, A. and Stulz, R. M., 2012. “The Credit Crisis around the Globe: Why Did Some Banks Perform Better?” Journal of Financial Economics, 105 (1): 1~17.
[23] Berlin, M. and Mester, L. J., 1999. “Deposits and Relationship Lending”, Review of Financial Studies, 12 (3): 579~607.
[24] Borio, C. and Zhu, H., 2012. “Capital Regulation, Risk-taking and Monetary Policy: a Missing Link in the Transmission Mechanism”, Journal of Financial Stability, 8(4):236~251.
[25] Chortareas, G., Girardone, C. and Ventouri, A., 2012. “Bank Supervision, Regulationand Efficiency: Evidence from the European Union”, Journal of Financial Stability, 8(4): 292~302.
[26] De Nicolò, G., Dell’Ariccia, G., Laeven, L., and Valencia, F., 2010. “Monetary Policy and Bank Risk-taking”, International Monetary Fund.
[27] Delis,M.D., Hasan, I. and Tsionas, E.G., 2014. “The Risk of Financial Intermediaries”, Bank Finance, 44:1~12.
[28] Delis, M. D., Hasan, I. and Mylonidis, N., 2017. “The Risk-taking Channel of Monetary Policy in the US: Evidence from Corporate Loan Data”, Journal of Money, Credit and Banking, 49(1):187~213.
[29] Dell’Ariccia, G., Laeven, L. and Marquez, R., 2014. “Real Interest Rates, Leverage and Bank Risk-taking”, Journal of Economic Theory, 149:65~99.
[30] Dell’Ariccia, G., Laeven, L. and Suarez, G., 2017. “Bank Leverage and Monetary Policy's Risk-taking Channel: Evidence from the United States”, Journal of Finance, 72(2):613~654.
[31] Ehrmann, M., Gambacorta, L., Martinez Pagés, J. , Sevestre, P. and Worms, A., 2003. “Financial Systems and the Role of Banks in Monetary Policy Transmission in the Euro Area”, Transmission in the Euro Area, Angeloni, I., Kashyap, A.K., Mojon, B.t. (Eds.), first ed. Cambridge University Press, 235~269.
[32] Farhi, E. and Tirole, J., 2012. “Collective Moral Hazard, Maturity Mismatch and Systemic Bailouts”, American Economic Review, 102(1):60~93.
[33] Gan, Jie, 2004. “Banking Market Structure and Financial Stability: Evidence from the Texas Real Estate Crisis in the 1980s”, Journal of Financial Economics, 73(3):567~601.
[34] Ghosh, A.R., Ostry, J.D., Chamon, M., 2016. “Two Targets, two Instruments: Monetary and Exchange Rate Policies in Emerging Market Economies”, Journal of International Money Finance, 60:172~196.
[35] Hansen, B., 1999. “Threshold Effects in Non-dynamic Panels: Estimation, Testing and Inference”, Journal of Econometrics, 93(2):345~368.
[36] Jiménez, G., Ongena, S., Peydro, J. L., and Salas, J. S., 2014. “Hazardous Times for Monetary Policy: what Do Twenty-Three Million Bank Loans Say about the Effects of Monetary Policy on Credit Risk-Taking?” Econometrica, 82(2): 463~505.
[37] Kishan, R. P., and T. P. Opiela., 2000. “Bank Size, Bank Capital, and the Bank Lending Channel.” Journal of Money, Credit and Banking, 32 (1): 121~41.
[38] Niu, J., 2012. “An Empirical Analysis of the Relation between Bank Charter Value and Risk taking”, Quarterly Review of Economics and Finance, 52:298~304.
[39] Rajan, R., 2005. “Has Financial Development Made the World Riskier?” NBER Working Paper 11728.
[40] Taylor, J., 2009. “The Financial Crisis and the Policy Responses: an Empirical Analysis of What Went Wrong”, NBER Working Papers 14631.
[41] Viale, A. M., Fraser, D. R., and Kolari , J. W., 2009. “Common Risk Factors in Bank Stocks”, Journal of Banking and Finance, 33 (3): 464~72.
[1] 梅冬州, 宋佳馨, 马振宇. 美联储货币政策紧缩的跨国异质性影响研究[J]. 金融研究, 2023, 517(7): 1-20.
[2] 董丰, 周基航, 贾彦东. 资产泡沫与最优货币政策[J]. 金融研究, 2023, 516(6): 1-19.
[3] 钟山, 林木材, 洪智武. 金融网络视角下的银行间市场基准利率体系与货币政策冲击传导[J]. 金融研究, 2023, 516(6): 20-37.
[4] 郭杰, 饶含. 商业银行债券融资与货币政策传导[J]. 金融研究, 2023, 515(5): 38-57.
[5] 翟光宇, 王超, 姜美君. 人口老龄化、货币政策效果及传导渠道[J]. 金融研究, 2023, 514(4): 1-18.
[6] 董文华, 谭小芬, 朱菲菲, 李兴申. 美国货币政策会影响其他经济体贷款者的风险承担吗?——基于全球辛迪加贷款市场的研究[J]. 金融研究, 2023, 513(3): 57-73.
[7] 丁宁, 吴晓. 存贷比监管改革与银行风险承担——来自中国商业银行的准自然实验[J]. 金融研究, 2023, 512(2): 96-114.
[8] 张成思, 唐火青, 陈贞竹. 货币政策冲击对实体企业投资选择影响的“宿醉效应”[J]. 金融研究, 2022, 507(9): 1-19.
[9] 吴迪, 张楚然, 侯成琪. 住房价格、金融稳定与宏观审慎政策[J]. 金融研究, 2022, 505(7): 57-75.
[10] 刘哲希, 郭俊杰, 谭涵予, 陈彦斌. 货币政策能够兼顾“稳增长”与“稳杠杆”双重目标吗?——基于不同杠杆环境的比较[J]. 金融研究, 2022, 505(7): 20-37.
[11] 郭杰, 饶含. 土地资产价格波动与经济中的流动性供给——基于以地融资视角的研究[J]. 金融研究, 2022, 505(7): 76-93.
[12] 朱民, 彭道菊. 创新内含碳中和目标的结构性货币政策[J]. 金融研究, 2022, 504(6): 1-15.
[13] 王博, 陈开璞. 中国自然利率之谜与债券市场定价——基于宏观金融模型视角[J]. 金融研究, 2022, 504(6): 36-54.
[14] 刘孟儒, 沈若萌. 结售汇如何影响银行风险承担水平?——基于银行资产负债表的视角[J]. 金融研究, 2022, 503(5): 57-75.
[15] 明雷, 秦晓雨, 杨胜刚. 差别化存款保险费率与银行风险承担——基于我国农村银行的经验证据[J]. 金融研究, 2022, 501(3): 41-59.
[1] 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 .
[2] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[3] 况伟大, 王琪琳. 房价波动、房贷规模与银行资本充足率[J]. 金融研究, 2017, 449(11): 34 -48 .
[4] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[5] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[6] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017, 449(11): 81 -95 .
[7] 高铭, 江嘉骏, 陈佳, 刘玉珍. 谁说女子不如儿郎?——P2P投资行为与过度自信[J]. 金融研究, 2017, 449(11): 96 -111 .
[8] 吕若思, 刘青, 黄灿, 胡海燕, 卢进勇. 外资在华并购是否改善目标企业经营绩效?——基于企业层面的实证研究[J]. 金融研究, 2017, 449(11): 112 -127 .
[9] 姜军, 申丹琳, 江轩宇, 伊志宏. 债权人保护与企业创新[J]. 金融研究, 2017, 449(11): 128 -142 .
[10] 刘莎莎, 孔高文. 信息搜寻、个人投资者交易与股价联动异象——基于股票送转的研究[J]. 金融研究, 2017, 449(11): 143 -157 .
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