[1] CHALLET D,AHMED B H A. Predicting financial markets with google trends and not so random keywords[R]. Social Science Electronic Publishing,Centrale Supélec,Encelade Capital SA,2013.
[2] PREIS T,MOAT H S,STANLEY H E. Quantifying trading behavior in financial markets using google trends[J]. Scientific Reports,2013,3:1684. doi:10.1038/srep01684.
[3] SIGANOS A. Google attention and target price run ups[J]. International Review of Financial Analysis,2013,29(5)::219-226.
[4] BIJL L,KRINGHAUG G,MOLN R P,et al. Google searches and stock returns[J]. International Review of Financial Analysis,2016,45:150-156.
[5] PREIS T,REITH D,STANLEY H E. Complex dynamics of our economic life on different scales:insights from search engine query data[J]. Philosophical Transactions,2010,368(1933):5707-5719.
[6] TAKEDA F,WAKAO T. Google search intensity and its relationship with returns and trading volume of Japanese stocks[J]. Pacific-Basin Finance Journal,2014,27(C):1-18.
[7] TANTAOPAS P,PADUNGSAKSAWASDI C,TREEPONGKARUNA S. Attention effect via internet search intensity in Asia-Pacific stock markets[J]. Pacific-Basin Finance Journal,2016,38:107-124.
[8] RANCO G,BORDINO I,BORMETTI G,et al. Coupling news sentiment with web browsing data improves prediction of intra-day price dynamics[J]. PLoS ONE,2016,11(1):e0146576. doi:10.1371/journal.pone.0146576.
[9] 俞庆进,张兵. 投资者有限关注与股票收益——以百度指数作为关注度的一项实证研究[J]. 金融研究,2012(8):152-165.
[10] 陈晓红,彭宛露,田美玉. 基于投资者情绪的股票价格及成交量预测研究[J]. 系统科学与数学,2016,36(12):2294-2306.
[11] 赵龙凯,陆子昱,王致远. 众里寻"股"千百度——股票收益率与百度搜索量关系的实证探究[J]. 金融研究,2013(4):183-195.
[12] 张谊浩,李元,苏中锋. 网络搜索能预测股票市场吗?[J]. 金融研究,2014(2):193-206.
[13] 刘锋,叶强,李一军. 媒体关注与投资者关注对股票收益的交互作用:基于中国金融股的实证研究[J]. 管理科学学报,2014,17(1):72-85.
[14] BANK M,LARCH M,PETER G. Google search volume and its influence on liquidity and returns of German stocks[J]. Financial Markets & Portfolio Management,2011,25(3):239-264.
[15] AROURI M E H,AOUADI A,FOULQUIER P,et al. Can information demand help to predict stock market liquidity Google it ![R]. Erance:CRCGM-University d'Auvergne,2013.
[16] DING R,HOU W. Retail investor attention and stock liquidity[J]. Journal of International Financial Markets Institutions & Money,2015,37:12-26.
[17] LU X,HOLZHAUER H M,WANG J. Online search frequency,information asymmetry,and market liquidity[J]. 2016,6(4):71-81.
[18] 张继德,廖微,张荣武. 普通投资者关注对股市交易的量价影响——基于百度指数的实证研究[J]. 会计研究,2014(8):52-59.
[19] VLASTAKIS N,MARKELLOS R N. Information demand and stock market volatility[J]. Social Science Electronic Publishing,2012,36(6):1808-1821.
[20] DIMPFL T,JANK S. Can internet search queries help to predict stock market volatility?[J]. European Financial Management,2016,22(2):171-192.
[21] ZHANG Y,FENG L,JIN X,et al. Internet information arrival and volatility of SME PRICE INDEX[J]. Physica A Statistical Mechanics & Its Applications,2014,399:70-74.
[22] SHEN D,ZHANG W,XIONG X,et al. Trading and non-trading period internet information flow and intraday return volatility[J]. Physica A Statistical Mechanics & Its Applications,2016,451:519-524.
[23] AMIHUD Y. Illiquidity and stock returns:cross-section and time-series effects[J]. Journal of Financial Markets,2002,5(1):31-56.
[24] TORBEN G. ANDERSEN T B,FRANCIS X. Diebold and paul labys modeling and forecasting realized volatility[J]. Econometrica,2003,71(2):579-625.
[25] ZHANG W,SHEN D,ZHANG Y,et al. Open source information,investor attention,and asset pricing[J]. Economic Modelling,2013,33(2):613-619.
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