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金融研究  2020, Vol. 483 Issue (9): 136-153    
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金融同业活动与实体企业经营风险——来自地区层面同业存单业务的证据
倪骁然, 刘士达
厦门大学经济学院,福建厦门 361005;
清华大学经济管理学院,北京 100084
Interbank Financial Activity and Firms' Operating Risk in the Real Sector: Evidence from Regional-level Interbank Negotiable Certificates of Deposit (INCDs)
NI Xiaoran, LIU Shida
School of Economics, Xiamen University;
School of Economics and Management, Tsinghua University
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摘要 本文研究了地区层面金融同业活动对实体企业经营风险的影响。基于各省份金融机构开启同业存单业务的研究表明,地区层面金融同业活动显著提升了当地上市企业股价大幅下跌的风险。进一步研究表明,随着同业存单业务的发展,当地上市企业债务融资成本和风险水平有所上升,而业绩表现和市场价值有所下降。上述发现表明,企业融资链条变长后,信贷市场道德风险上升,部分企业因风险偏好增强导致经营风险上升,更容易突然出现负面事件而导致股价大幅下跌。本文的发现揭示了金融同业活动存在监管规避的可能性及其影响实体企业的潜在路径,凸显了完善金融监管以更好服务实体经济发展的重要现实意义。
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倪骁然
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关键词:  金融同业活动  同业存单  企业经营风险  监管规避    
Summary:  During the post-crisis period, regulators encourage financial innovation to stimulate economic growth. However, financial innovation is accompanied by the rapid development of shadow banking, which has raised many concerns among practitioners and policymakers. Although many studies have discussed the unintended consequences of financial innovation on the financial system, empirical evidence of how financial innovation affects the real economy is rare.
In this paper, we attempt to fill this gap by studying how interbank financial innovation can affect the operating risk and likelihood of stock price crashes of listed firms. Stock price crashes are regarded as extreme bad events in stock markets. They fundamentally depend on a firm's operating risk and are largely driven by the intentional hoarding of bad news by firm insiders. When a firm's operating risk is high, the firm is more likely to experience negative events during the operating process, leading firm insiders to withhold bad news from external investors. Once the bad news is suddenly leaked to the market, the firm will experience tremendous stock price crashes. Specifically, to understand how interbank financial innovation affects firms' operating risk, we focus on the introduction of Interbank Negotiable Certificates of Deposit (INCDs) in 2013. Although INCDs were introduced to propel the liberalization of interest rates, they have been widely used in the banking sector to circumvent regulations. Since INCDs are introduced by the banking sector at different times across different provinces, we are able to study the effects of regional interbank financial innovation on the firm stock price crash risk in a difference-in-differences (DiD) setting.
We conduct a quarterly empirical analysis of listed Chinese firms over the 2011-2016 period. We find that the stock price crash risk of local listed firms increases significantly after INCDs are introduced into the corresponding region. The effect is also of economic significance: on average, the stock price crash risk of firms increases to around 9% of the sample standard deviation. We confirm that the increase in stock price crash risk emerges only after the introduction of INCDs, but not before it, indicating that the parallel trend assumption holds in the baseline DiD setting. This positive relationship is more pronounced among firms with higher risks and lower financial flexibility, indicating that the introduction of INCDs mainly affects firms that are susceptible to operational difficulties. Our results are robust when we consider alternative measures of the key variables, different subsamples, and other model specifications.
Further analysis indicates that the introduction of INCDs is associated with increased cost of debt, higher level of risk-taking, poorer operating performance, and lower market values of local listed firms. Evidence indicates that the introduction of INCDs extends firms' financing chains and increases moral hazards in the credit market: some firms are more likely to undertake excessive risk and, thus, experience sudden negative events, which can increase the risk of stock price crashes. The above findings indicate that regional-level interbank financial innovation can intensify the moral hazard problem in the credit market, which will increase local firms' operating risk and potentially reduce the stability of financial markets.
Our paper contributes to the literature in two aspects. First, different from the traditional view of bad news hoarding behavior and the micro-level determinants of stock price crash risk, our paper sheds light on how macro-level factors affect stock price crash risk. We use the introduction of INCDs at the provincial level as a quasi-exogenous shock and show that this financial innovation is an important macro-level determinant of firm operating risk and stock price crash risk. Second, our paper contributes to the literature on the real effects of financial innovation and shadow banking. The existing literature mainly focuses on how financial innovation and shadow banking activities affect the financial system, while their real effects are rarely studied. Our paper provides direct evidence of how interbank financial innovation can affect the operating risk of the real sector and the stability of the financial market. Lastly, our paper provides direct policy implications and evidence to support the introduction of new regulations for the asset management industry. Our study confirms the importance of policy goals in promoting the healthy development of multilevel capital markets, serving the real economy better, and maintaining the bottom line to prevent systemic financial risk.
Keywords:  Interbank Financial Activity    Interbank Negotiable Certificates of Deposit (INCDs)    Firm Operating Risk    Regulation Circumvention
JEL分类号:  E44   G12   G32  
作者简介:  倪骁然,经济学博士,助理教授,厦门大学经济学院金融系、王亚南经济研究院,E-mail: nxr@xmu.edu.cn.
刘士达(通讯作者),金融学博士研究生,清华大学经济管理学院,E-mail:liushd.17@sem.tsinghua.edu.cn.
引用本文:    
倪骁然, 刘士达. 金融同业活动与实体企业经营风险——来自地区层面同业存单业务的证据[J]. 金融研究, 2020, 483(9): 136-153.
NI Xiaoran, LIU Shida. Interbank Financial Activity and Firms' Operating Risk in the Real Sector: Evidence from Regional-level Interbank Negotiable Certificates of Deposit (INCDs). Journal of Financial Research, 2020, 483(9): 136-153.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2020/V483/I9/136
[1] 巴曙松,2013,《应从金融结构演进角度客观评估影子银行》,《经济纵横》第4期,第27~30页。
[2] 步艳红、赵晓敏和杨帆,2014,《我国商业银行同业业务高杠杆化的模式、影响和监管研究》,《金融监管研究》第2期,第33~46页。
[3] 曹国强,2013,《银行同业业务模式的缺陷是本轮“钱荒”的症结所在》,《21世纪经济报道》,2013年7月25日。
[4] 程小可、姜永盛和郑立东,2015,《影子银行、企业风险承担与融资约束》,《经济管理》第4期,第106~115页。
[5] 代冰彬和岳衡,2015,《货币政策、流动性不足与个股暴跌风险》,《金融研究》第7期,第135~151页。
[6] 郭晔和赵静,2017,《存款竞争、影子银行与银行系统风险——基于中国上市银行微观数据的实证研究》,《金融研究》第6期,第81~94页。
[7] 高昊宇、杨晓光和叶彦艺,2017,《机构投资者对暴涨暴跌的抑制作用: 基于中国市场的实证》,《金融研究》第2期,第163~178页。
[8] 黄益平、常健和杨灵修,2012,《中国的影子银行会成为另一个次债?》,《国际经济评论》第2期,第42~51页。
[9] 纪敏和李宏瑾,2018,《影子银行、资管业务与货币调控方式转型——基于银行表外理财数据的实证分析》,《金融研究》第12期,第1~18页。
[10] 李广子和刘力,2009,《债务融资成本与民营信贷歧视》,《金融研究》第12期,第137~150页。
[11] 李宏瑾和苏乃芳,2017,《金融创新、金融脱媒与信用货币创造》,《财经问题研究》第10期,第42~52 页。
[12] 刘冲和盘宇章,2013,《银行间市场与金融稳定——理论与证据》,《金融研究》第12期,第72~86页。
[13] 刘春和孙亮,2015,《税收征管能降低股价暴跌风险吗?》,《金融研究》第8期,第159~174页。
[14] 刘士达、张明和王喆,2017,《中国特色的同业存单市场——国际经验、特征事实与潜在风险》,《金融市场研究》第11期,第101~116页。
[15] 倪骁然和朱玉杰,2017,《卖空压力影响企业的风险行为吗:来自 A 股市场的经验证据》,《经济学(季刊)》第2期,第1173~1198页。
[16] 彭俞超、倪骁然和沈吉,2018,《企业“脱实向虚”与金融市场稳定:基于个股崩盘风险的视角》,《经济研究》第10期,第50~66页。
[17] 钱雪松、徐建利和杜立,2018,《中国委托贷款弥补了正规信贷不足吗?》,《金融研究》第5期,第82~100页。
[18] 权小锋、吴世农和尹洪英,2015,《企业社会责任与个股崩盘风险:“价值利器” 或 “自利工具”?》,《经济研究》第11期,第49~64页。
[19] 宋献中、胡珺和李四海,2017,《社会责任信息披露与个股崩盘风险——基于信息效应与声誉保险效应的路径分析》,《金融研究》第4期,第161~175页。
[20] 王化成、曹丰和叶康涛,2015,《监督还是掏空:大股东持股比例与个股崩盘风险》,《管理世界》第2期,第45~57页。
[21] 王新华和温建芳,2015,《同业存单市场的发展》,《中国金融》第4期,第55~56页。
[22] 王新华和曾晓星,2014,《同业存单发行情况及大额存单发展趋势》,《银行家》第9期,第59~61页。
[23] 王喆、张明和刘士达,2017,《从“通道”到“同业”——中国影子银行体系的演进历程、潜在风险与发展方向》,《国际经济评论》第4期,第128~148页。
[24] 温信祥和苏乃芳,2018,《大资管、影子银行与货币政策传导》,《金融研究》第10期,第38~54页。
[25] 吴凤丹和张生举,2013,《国际CDs与中国同业存单的发展》,《金融市场研究》第8期,第62~69页。
[26] 汪涛,2018,《中国影子银行的发展和规模》,《财经》第7期,第43~46页。
[27] 肖崎和阮健浓,2014,《我国银行同业业务发展对货币政策和金融稳定的影响》,《国际金融研究》第3期,第65~73页。
[28] 许年行、江轩宇和伊志宏等,2012,《分析师利益冲突、乐观偏差与个股崩盘风险》,《经济研究》第7期,第127~140页。
[29] 杨瑞龙、章逸然和杨继东,2017,《制度能缓解社会冲突对企业风险承担的冲击吗》,《经济研究》第8期,第140~154页。
[30] 杨子晖、陈雨恬和谢锐楷,2018,《我国金融机构系统性金融风险度量与跨部门风险溢出效应研究》,《金融研究》第10期,第19~37页。
[31] 姚宏伟和惠雅莉,2017,《银行业同业存单的发展动力、潜在风险与改革路径》,《金融监管研究》,第12期,第68~80页。
[32] 叶康涛、曹丰和王化成,2015,《内部控制信息披露能够降低个股崩盘风险吗?》,《金融研究》第2期,第192~206页。
[33] 余明桂、李文贵和潘红波,2013,《民营化、产权保护与企业风险承担》,《经济研究》第9期,第112~124页。
[34] 章立聪,2017,《同业存单监管收紧或缓解实体企业融资压力》,《上海证券报》,2017年5月5日。
[35] 张明,2013,《中国影子银行:界定、成因、风险与对策》,《国际经济评论》第3期,第82~92页。
[36] 张晓宇和徐龙炳,2017,《限售股解禁、资本运作与个股崩盘风险》,《金融研究》第11期,第158~174页。
[37] 郑联盛和张明,2014,《中国银行同业业务:现状、类型、风险和应对》,《金融市场研究》第6期,第43~52页。
[38] 祝继高、胡诗阳和陆正飞,2016,《商业银行从事影子银行业务的影响因素与经济后果——基于影子银行体系资金融出方的实证研究》,《金融研究》第1期,第66~82页。
[39] Acharya, Viral V., Ramin P. Baghai, and Krishnamurthy V. Subramanian. 2014. “Wrongful Discharge Laws and Innovation”, Review of Financial Studies, 56(4):301~346.
[40] Acharya, Viral V., Jun Qian, Yang Su, and Zhishu Yang. 2019. “In the Shadow of Banks: Wealth Management Products and Issuing Banks' Risk in China”. Working Paper.
[41] Allen, Franklin, and Douglas Gale. 2000. “Financial Contagion”, Journal of Political Economy, 108(1):1~33.
[42] Allen, Franklin, Yiming Qian, Guoqian Tu, and Frank Yu. 2018. “Entrusted Loans: A Close Look at China's Shadow Banking System”, Journal of Financial Economics, 133(1):18~41.
[43] Andreo, Panayiotis C., Christodoulos Louca, and Andreas P. Petrou. 2016. “CEO Age and Stock Price Crash Risk”, Review of Finance, 21(3): 1287~1325.
[44] Chen, Donghua, Jeong-Bon Kim, Oliver Zhen Li, and Shangkun Liang. 2018. “China's Closed Pyramidal Managerial Labor Market and the Stock Price Crash Risk”, The Accounting Review, 93(3):105~131.
[45] Chen, Joseph, Harrison Hong, and Jermey C. Stein. 2001, “Forecasting Crashes: Trading Volume, Past Returns, and Conditional Skewness in Stock Prices”, Journal of Financial Economics, 61(3):345~381.
[46] Chen, Kaiji, Jue Ren, and Tao Zha. 2018. “What We Learn from China's Rising Shadow Banking: Exploring the Nexus of Monetary Tightening and Banks' Role in Entrusted Lending” American Economic Review, 108 (12): 3891~3936.
[47] Diamond, Douglas W., and Philip H. Dybvig. 1983. “Bank Runs, Deposit Insurance, and Liquidity”, Journal of Political Economy, 401~419.
[48] Gormley, Todd A., and David A. Matsa. 2016. “Playing It Safe? Managerial Preferences, Risk, and Agency Conflicts”, Journal of Financial Economics, 122(3):431~455.
[49] Hachem, Kinda, and Zheng Song. 2015. “The Rise of China's Shadow Banking System”, Working Paper.
[50] Hutton, Amy P., Alan J. Marcus, and Hassan Tehranian. 2009. “Opaque Financial Reports, R2, and Crash Risk”, Journal of Financial Economics, 94(1):67~86.
[51] Jin, Li, and Stewart C. Myers. 2006. “R2 around the World: New Theory and New Tests”, Journal of Financial Economics, 79(2):257~292.
[52] Kim, Jeong-Bon, Yinghua Li, and Liandong Zhang. 2011. “Corporate Tax Avoidance and Stock Price Crash Risk: Firm-Level Analysis”, Journal of Financial Economics, 100(3): 639~662.
[53] Kothari, Sabino P., Susan Shu, and Peter D. Wysocki. 2009. “Do Managers Withhold Bad News?”, Journal of Accounting Research, 47(1):241~276.
[54] Stigliz, Joseph E., and Andrew Weiss. 1981. “Credit Rationing in Markets with Imperfect Information”, American Economic Review, 71(3):393~410.
[55] Wang, Hao, Honglin Wang, Lisheng Wang, and Hao Zhou. 2019. “Shadow Banking: China's Dual-Track Interest Rate Liberalization”. Working Paper.
[56] Xu, Nianhang, Xiaorong Li, Qingbo Yuan, and Kam C. Chan. 2014. “Excess Perks and Stock Price Crash Risk: Evidence from China”, Journal of Corporate Finance, 25:419~434.
[57] Zhu, Wei. 2016. “Accruals and Price Crashes”, Review of Accounting Studies, 21(2):349~399.
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