哪些因素影响了股市风险传染？——来自行业数据的证据

doi:10.16381/j.cnki.issn1003-207x.2020.0138

摘要/Abstract

摘要： 防范系统性风险是我国资本市场改革发展的重要议题，风险传染(risk contagion)是系统性风险的重要特征之一，作为资本市场最主要部分的股票市场，其行业间的风险传染愈益凸显。本文采用Δ CoVaR结合时变SJC-Copula的方法，测算了我国股市行业间产生风险传染和遭受风险传染的程度，并基于实际联系和金融联系实证检验了行业间产生和遭受风险传染的影响因素。研究结果表明，我国股市行业间的风险传染具有异质性和时变性；行业的关联程度越高，信息透明度越差，对其他行业股票产生风险传染的程度越高；行业的关联程度越高、信息越不透明、股票流动性越差，遭受其他行业风险传染的程度越高；投资者情绪能在一定程度上解释行业股票风险传染的时变性，投资者情绪越悲观，行业间的风险传染程度越高。

关键词: 风险传染；行业关联程度；行业信息透明度；投资者情绪

Abstract: Statistics show that the phenomenon of “thousand-share hitting limit down” has appeared for 18 times during the period from June 1, 2007 to December 31, 2017. CoVaR combined with time-varying SJC-Copula method is used to measure the degree of inter-industry risk contagion in the Chinese stock market and test the influential factors on the basis of real linkage and financial linkage. The main results show the inter-industry risk contagion of Chinese stock market is heterogeneity and time-varying. Industries that are closely related to other industries and poor in information transparency are more contagious to other industries. Similarly, industries that are closely related to other industries, poor in information transparency and illiquidity in stocks are more susceptible to risk from other industries. Investor optimism is inversely correlated with risk contagion among industries, which explains the time-varying of risk contagion to some extent.

Key words: risk contagion; degree of inter-industry linkage; transparency in the industry; investor sentiment

中图分类号:

F830
F224

吴金宴, 王鹏. 哪些因素影响了股市风险传染？——来自行业数据的证据[J]. 中国管理科学, 2022, 30(8): 57-68.

WU Jin-yan, WANG Peng. Factors Affecting the Risk Contagion of the Stock Market: An Evidence from Industry-Level Data[J]. Chinese Journal of Management Science, 2022, 30(8): 57-68.

参考文献

［1］何诚颖. 中国股市 “板块现象” 分析［J］. 经济研究, 2001, 12: 82-87.He Chengying. An analysis of the category phenomenon in Chinese stock market［J］. Economic Research Journal, 2001, 12: 82-87.
［2］ Wu Fei. Sectoral contributions to systemic risk in the Chinese stock market［J］. Finance Research Letters, 2019, 31: 386-390.
［3］ Acemoglu D, Ozdaglar A, Tahbaz-Salehi A. Systemic risk and stability in financial networks［J］. American Economic Review, 2015, 105(2): 564-608.
［4］ Yang Zihui, Zhou Yinggang. Quantitative easing and volatility spillovers across countries and asset classes［J］. Management Science, 2016, 63(2): 333-354.
［5］ Ewing B T. The transmission of shocks among S&P indexes［J］. Applied Financial Economics, 2002, 12(4): 285-290.
［6］ Hassan S A, Malik F. Multivariate GARCH modeling of sector volatility transmission［J］. The Quarterly Review of Economics and Finance, 2007, 47(3): 470-480.
［7］ Phylaktis K, Xia Lichuan. Equity market comovement and contagion: A sectoral perspective［J］. Financial Management, 2009, 38(2): 381-409.
［8］ Chiu Wanchien, Pea J I, Wang Chihwei. Industry characteristics and financial risk contagion［J］. Journal of Banking and Finance, 2015, 50: 411-427.
［9］徐晓光, 廖文欣, 郑尊信. 沪港通背景下行业间波动溢出效应及形成机理［J］. 数量经济技术经济研究, 2017, 34(3): 112-127.Xu Xiaoguang, Liao Wenxin, Zheng Zunxin. Inter-industry volatility spillover effect and its formation mechanism under the background of Shanghai-Hong Kong Stock Connect Program［J］. The Journal of Quantitative and Technical Economics, 2017, 34(3): 112-127.
［10］黄乃静, 张冰洁, 郭冬梅,等. 中国股票市场行业间金融传染检验和风险防范［J］. 管理科学学报, 2017, 20(12): 19-28.Huang Naijing, Zhang Binjie, Guo Dongmei, et al. Industry-level financial contagion of the Chinese stock market and risk control［J］. Journal of Management Sciences in China, 2017, 20(12): 19-28.
［11］陈暮紫, 赵婷婷, 刘承林, 等. 跨部门金融机构系统重要性和共振效应的动态演化研究——基于中国 A 股市场的实证［J］. 中国管理科学, 2020, 28(4): 36-47.Chen Muzi, Zhao Tingting, Liu Chenglin, et al. Dynamic evolution study on inter-sector financial institution systemic importance and resonance effects［J］. Chinese Journal of Management Science,2020,28(4):36-47.
［12］ Kaminsky G L, Reinhart C M, Vegh C A. The unholy trinity of financial contagion［J］. Journal of Economic Perspectives, 2003, 17(4): 51-74.
［13］ Pasquariello P. Imperfect competition, information heterogeneity, and financial contagion［J］. The Review of Financial Studies, 2006, 20(2): 391-426.
［14］ Cass D, Pavlova A. On trees and logs［J］. Journal of Economic Theory, 2004, 116(1): 41-83.
［15］ Bekaert G, Ehrmann M, Fratzscher M, et al. The global crisis and equity market contagion［J］. The Journal of Finance, 2014, 69(6): 2597-2649.
［16］ King M A, Wadhwani S. Transmission of volatility between stock markets［J］. The Review of Financial Studies, 1990, 3(1): 5-33.
［17］ Fleming J, Kirby C, Ostdiek B. Information and volatility linkages in the stock, bond, and money markets［J］. Journal of Financial Economics, 1998, 49(1): 111-137.
［18］ Kodres L E, Pritsker M. A rational expectations model of financial contagion［J］. The Journal of Finance, 2002, 57(2): 769-799.
［19］ Calvo G A. Contagion in emerging markets: When wall street is a carrier［M］//Calvo G A. Latin American Economic Crises. London: Palgrave Macmillan, 2004: 81-91.
［20］ Kyle A S, Xiong Wei. Contagion as a wealth effect［J］. The Journal of Finance, 2001, 56(4): 1401-1440.
［21］ Yuan Kathy. Asymmetric price movements and borrowing constraints: A rational expectations equilibrium model of crises, contagion, and confusion［J］. The Journal of Finance, 2005, 60(1): 379-411.
［22］ Baumol W J. An expected gain-confidence limit criterion for portfolio selection［J］. Management Science, 1963, 10(1): 174-182.
［23］ Adrian T, Brunnermeier M K. CoVaR［J］. The American Economic Review, 2016, 106(7): 1705.
［24］ Forbes K J, Rigobon R. No contagion, only interdependence: Measuring stock market comovements［J］. The Journal of Finance, 2002, 57(5): 2223-2261.
［25］ Gómez-Puig M, Sosvilla-Rivero S. Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion［J］. Economic Modelling, 2016, 56: 133-147.
［26］ Diebold F X, Ylmaz K. On the network topology of variance decompositions: Measuring the connectedness of financial firms［J］. Journal of Econometrics, 2014, 182(1): 119-134.
［27］ Karimalis E N, Nomikos N K. Measuring systemic risk in the European banking sector: A copula CoVaR approach［J］. The European Journal of Finance, 2018, 24(11): 944-975.
［28］ Reboredo J C, Ugolini A. Systemic risk in European sovereign debt markets: A CoVaR-copula approach［J］. Journal of International Money and Finance, 2015, 51: 214-244.
［29］中国投入产出课题组. 我国目前产业关联度分析——2002 年投入产出表系列分析报告之一［J］. 统计研究, 2006, 23(11): 3-8.Chinese Input-Output Research Group.The analysis of current interrelation between Industries of China: the first of series reports on input-output tables of 2002［J］. Statistical Research, 2006, 23(11): 3-8.
［30］王岳平, 葛岳静. 我国产业结构的投入产出关联特征分析［J］. 管理世界, 2007,23(2): 61-68.Wang Yueping, Ge Yuejing. An analysis of the characteristics of the relations between the Input and the output in China’s industrial stucture［J］. Management World, 2007,23(2): 61-68.
［31］冯用富, 王庆仁, 苟骏. 约束条件下理性与中国股市投资者行为［J］. 金融研究, 2004(9): 57-64.Feng Yongfu, Wang Qingren, Gou Jun. Rationality under constraint conditions and the Investor’s behavior in China stock market［J］. Journal of Financial Research, 2004(9): 57-64.
［32］陈炜, 袁子甲, 何基报. 异质投资者行为与价格形成机制研究［J］. 经济研究, 2013(4): 43-54.Chen Wei, Yuan Zijia, He Jibao. The study on behavior of heterogeneous investor and price information［J］. Economic Research Journal, 2013(4): 43-54.
［33］许年行, 于上尧, 伊志宏. 机构投资者羊群行为与股价崩盘风险［J］. 管理世界, 2013,29(7): 31-43.Xu Nianxing, Yu Shangyao, Yi Zhihong. Institutional investors’ herding behavior and stock price crash risk［J］. Management World, 2013,29(7): 31-43.
［34］何诚颖, 陈锐, 蓝海平. 投资者非持续性过度自信与股市反转效应［J］. 管理世界, 2014,30(8): 44-54.He Chengying, Chen Rui, Lan Haiping. Investors’ non-sustained overconfidence and reversal effect in stock market［J］. Management World, 2014,30(8): 44-54.
［35］ De Long J B, Shleifer A, Summers L H. Noise trader risk in financial markets［J］. Journal of Political Economy, 1990, 98(4): 703-738.
［36］ Baker M, Wurgler J. Investor sentiment and the cross-section of stock returns［J］. The Journal of Finance, 2006, 61(4): 1645-1680.
［37］黄创霞, 温石刚, 杨鑫, 等. 个体投资者情绪与股票价格行为的互动关系研究［J］. 中国管理科学, 2020, 28(3): 191-200.Huang Chuangxia, Wen Shigang, Yang Xin, et al.The interactive relationship between individual investor sentiment and stock price behaviors［J］. Chinese Journal of Management Science,2020,28(3):191-200.
［38］ Hutton A P, Marcus A J, Tehranian H. Opaque financial reports, R2, and crash risk［J］. Journal of Financial Economics, 2009, 94(1): 67-86.
［39］ Bhattacharya U, Daouk H, Welker M. The world price of earnings opacity［J］. The Accounting Review, 2003, 78(3): 641-678.
［40］ Dechow P M, Sloan R G, Sweeney A P. Detecting earnings management［J］. Accounting Review, 1995, 70(2): 2-42.
［41］ Fang Vivian, Noe T H, Tice S. Stock market liquidity and firm value［J］. Journal of Financial Economics, 2009, 94(1): 150-169.
［42］ Tissaoui K, Ftiti Z, Aloui C. Commonality in liquidity: Lessons from an emerging stock market［J］. Journal of Applied Business Research， 2015, 31(5): 1927-1952.
［43］ Rouwenhorst K G. Local return factors and turnover in emerging stock markets［J］. The Journal of Finance, 1999, 54(4): 1439-1464.
［44］ Avramov D, Chordia T. Asset pricing models and financial market anomalies［J］. The Review of Financial Studies, 2006, 19(3): 1001-1040.
［45］易志高, 茅宁. 中国股市投资者情绪测量研究: CICSI的构建［J］. 金融研究, 2009(11): 174-184.Yi Zhigao, Mao Ning. Research on the measurement of investor sentiment in Chinese stock market: The CICSI’s construction［J］. Journal of Financial Research, 2009 (11): 174-184.
［46］ Huszár Z R, Tan R S K, Zhang W. Do short sellers exploit industry information?［J］. Journal of Empirical Finance, 2017, 41: 118-139.

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