证券市场网络谣言治理研究:基于金融智能视角
|
摘要
网络谣言的传播对证券市场平稳健康运行有着显著影响,这种影响源自市场同时又反作用于市场。证券市场各参与主体需要采取更加积极有效的手段对网络谣言信息进行治理,增强对谣言信息分析识别、快速响应和正确认知的能力。传统的网络谣言治理方法已明显滞后于互联网时代的内在需求,须从更加快速、科学和可量化的方向思考网络谣言监管定位和治理手段。本文将基于金融智能的思路,提出构建财经网络谣言监测分析平台的构想,以更加快速、科学和可量化的方向思考网络谣言监管定位和治理手段。
The spread of Network rumors has a significant impact on the smooth and healthy operation of the securities market.Such influences originate from the market and at the same time react to the market.The participants in the securities market need to take more active and effective measures to govern online rumors,and strengthen the ability to analyze,identify,respond quickly,and correctly recognize rumors.The traditional method of Internet rumor management has apparently lagged behind the internal needs of the Internet era.It is necessary to think about the regulatory positioning and governance methods of Internet rumors from a more rapid,scientific,and quantifiable perspective.This research will be based on the idea of financial intelligence,put forward the idea of building a financial Internet rumors monitoring and analysis platform,thinking in a more rapid,scientific and quantifiable direction of Internet rumors supervision positioning and governance tools.
The spread of Network rumors has a significant impact on the smooth and healthy operation of the securities market.Such influences originate from the market and at the same time react to the market.The participants in the securities market need to take more active and effective measures to govern online rumors,and strengthen the ability to analyze,identify,respond quickly,and correctly recognize rumors.The traditional method of Internet rumor management has apparently lagged behind the internal needs of the Internet era.It is necessary to think about the regulatory positioning and governance methods of Internet rumors from a more rapid,scientific,and quantifiable perspective.This research will be based on the idea of financial intelligence,put forward the idea of building a financial Internet rumors monitoring and analysis platform,thinking in a more rapid,scientific and quantifiable direction of Internet rumors supervision positioning and governance tools.
引文
[1]郑若麟译,Kapferer著,谣言——世界最古老的传媒[M],上海人民出版社,2008.
[2]傅佑全,中国股票交易非理性投资与股市断崖式暴跌现象探析[J],内江师范学院学报,2015(7),29-32.
[3]马经,金融监管新课题:外生性金融风险[J]中国金融,2003(4):10-11.
[4] T Berners-Lee,W.Hall,J.Hendler,and D.J.Weitzner.Creating ascience of the web[J].Science,2006,313(5788):769-771.
[5] Arindam B.Measuring investor sentiment in equity markets[J].Journal of Asset Management,2005,7(3):208-215.
[6] P Clarkson,D Joyce,I Tutticci.Market reaction to takeover rumour in internet discussion sites[J].Accounting and Finance,2006,46(1):31-52.
[7] Verma R,Vorma P.Noise trading and stock market volatility[J].Journal of Multinational Financial Management,2007(17):231-243.
[8] Tetlock P C.Giving content to investor sentiment:the role of media in the stock market[J].Journal of Finance.2007.62(3):1139-1168.
[9]周裕琼,当代中国社会的网络谣言研究[M].商务印书馆,2012.
[10]理查德·A·斯班尼罗.信息和计算机伦理案例研究[M].科学技术文献出版社,2003.
[11]Fama E F.Efficient capital markets:a review of theory and empirical work[J].Journal of Finance,1970,25(2):383-417.
[12]王建敏,秦亚芳.配股融资对上市公司短期收益率影响的实证研究[J].中南财经政法大学研究生学报,2011(4):118-123.
[13]张文强,孙国茂.我国证券市场融资效率问题——基于有效市场理论的分析[J].金融发展研究,2016(11):57-63.
[14]周彦.我国IPO价格指数的编制与应用:基于特征价格理论的中小板实证分析[D].西南财经大学,2012.
[15]崔亮.投资者情绪的统计测评及其应用研究[D].西南财经大学,2013.
[16]谢平.人工智能与金融监管[C].2017中国金融学会学术年会暨中国金融论坛年会论坛,2017.
[17]尹正.善治视角下我国网络谣言多中心协同治理研究[D].南京航空航天大学,2015.
(1)系统重要性金融机构是指业务规模较大、业务复杂程度较高、一旦发生风险事件将给地区或全球金融体系带来冲击的金融机构,这一概念由国际货币基金组织、巴塞尔银行监管委员会和金融稳定理事会等国际金融监管组织提出。
(2)本文的监管机构是一个相对广义的概念,包括但不限于一行两会、国务院下属金融事务管理部门、沪深证券交易所和相关自律性组织等。
(3)本文的中介机构是指从事证券经纪、承销代理和登记结算等业务的证券公司、基金公司、信托公司及部分商业银行和保险公司等金融机构。
[2]傅佑全,中国股票交易非理性投资与股市断崖式暴跌现象探析[J],内江师范学院学报,2015(7),29-32.
[3]马经,金融监管新课题:外生性金融风险[J]中国金融,2003(4):10-11.
[4] T Berners-Lee,W.Hall,J.Hendler,and D.J.Weitzner.Creating ascience of the web[J].Science,2006,313(5788):769-771.
[5] Arindam B.Measuring investor sentiment in equity markets[J].Journal of Asset Management,2005,7(3):208-215.
[6] P Clarkson,D Joyce,I Tutticci.Market reaction to takeover rumour in internet discussion sites[J].Accounting and Finance,2006,46(1):31-52.
[7] Verma R,Vorma P.Noise trading and stock market volatility[J].Journal of Multinational Financial Management,2007(17):231-243.
[8] Tetlock P C.Giving content to investor sentiment:the role of media in the stock market[J].Journal of Finance.2007.62(3):1139-1168.
[9]周裕琼,当代中国社会的网络谣言研究[M].商务印书馆,2012.
[10]理查德·A·斯班尼罗.信息和计算机伦理案例研究[M].科学技术文献出版社,2003.
[11]Fama E F.Efficient capital markets:a review of theory and empirical work[J].Journal of Finance,1970,25(2):383-417.
[12]王建敏,秦亚芳.配股融资对上市公司短期收益率影响的实证研究[J].中南财经政法大学研究生学报,2011(4):118-123.
[13]张文强,孙国茂.我国证券市场融资效率问题——基于有效市场理论的分析[J].金融发展研究,2016(11):57-63.
[14]周彦.我国IPO价格指数的编制与应用:基于特征价格理论的中小板实证分析[D].西南财经大学,2012.
[15]崔亮.投资者情绪的统计测评及其应用研究[D].西南财经大学,2013.
[16]谢平.人工智能与金融监管[C].2017中国金融学会学术年会暨中国金融论坛年会论坛,2017.
[17]尹正.善治视角下我国网络谣言多中心协同治理研究[D].南京航空航天大学,2015.
(1)系统重要性金融机构是指业务规模较大、业务复杂程度较高、一旦发生风险事件将给地区或全球金融体系带来冲击的金融机构,这一概念由国际货币基金组织、巴塞尔银行监管委员会和金融稳定理事会等国际金融监管组织提出。
(2)本文的监管机构是一个相对广义的概念,包括但不限于一行两会、国务院下属金融事务管理部门、沪深证券交易所和相关自律性组织等。
(3)本文的中介机构是指从事证券经纪、承销代理和登记结算等业务的证券公司、基金公司、信托公司及部分商业银行和保险公司等金融机构。