Document Type : Original Article
[1] Z. Da, J. Engelberg, P. Gao, In search of attention, J. Finance 66 (5) (2011) 1461–1499.
[2] M. Bank, M. Larch, G. Peter, Google search volume and its influence on liquidity and returns of German stocks, Financial Mark. Portfolio Manag.
25 (3) (2011) 239–264.
[3] W. Zhang, D. Shen, Y. Zhang, X. Xiong, Open source information, investor attention, and asset pricing, Econ. Model. 33 (2013) 613–619.
[4] Y. Zhang, L. Feng, X. Jin, D. Shen, X. Xiong, W. Zhang, Internet information arrival and volatility of SME PRICE INDEX, Physica A 399 (2014)
70–74.
[5] S.R. Das, M.Y. Chen, Yahoo! for Amazon: Sentiment extraction from small talk on the web, Manage. Sci. 53 (9) (2007) 1375–1388. [6] J. Bollen, H. Mao, X. Zeng, Twitter mood predicts the stock market, J. Comput. Sci. 2 (1) (2011) 1–8.
[7] S.-H. Kim, D. Kim, Investor sentiment from internet message postings and the predictability of stock returns, J. Econ. Behav. Organ. 107 (2014)
708–729.
[8] A. Siganos, E. Vagenas-Nanos, P. Verwijmeren, Facebook’s daily sentiment and international stock markets, J. Econ. Behav. Organ. 107 (2014)
730–743.
[9] X. Li, D. Shen, M. Xue, W. Zhang, Daily happiness and stock returns: The case of Chinese company listed in the United States, Econ. Model. 64
(2017) 496–501.
[10] P.D. Wysocki, Cheap talk on the web: The determinants of postings on stock message boards. University of Michigan Business School Working
Paper No. 98025, 1998.
[11] R. Tumarkin, R.F. Whitelaw, News or noise? Internet postings and stock prices, Financ. Anal. J. 57 (3) (2001) 41–51.
[12] W. Antweiler, M.Z. Frank, Is all that talk just noise? The information content of internet stock message boards, J. Finance 59 (3) (2004)
1259–1294.
[13] X. Jin, D. Shen, W. Zhang, Has microblogging changed stock market behavior? Evidence from China, Physica A 452 (2016) 151–156.
[14] B.G. Malkiel, E.F. Fama, Efficient capital markets: A review of theory and empirical work, J. Finance 25 (2) (1970) 383–417. [15] F. Black, R.S. Kaplan, Yes, virginia, there is hope: Tests of the Value Line ranking system, Financ. Anal. J. (1973) 10–92.
[16] T.E. Copeland, D. Mayers, The value line enigma (1965–1978): A case study of performance evaluation issues, J. Financ. Econ. 10 (3) (1982)
289–321.
[17] P. Liu, S.D. Smith, A.A. Syed, Stock price reactions to the Wall Street Journal’s securities recommendations, J. Financ. Quant. Anal. 25 (3) (1990)
399–410.
[18] O. Palman, H.L. Sun, A.P. Tang, The impact of publication of analysts’ recommendations on returns and trading volume, Financ. Rev. 29 (3)
(1994) 395–417.
[19] I. Mathur, A. Waheed, Stock price reactions to securities recommended in business week’s inside Wall Street, Financ. Rev. 30 (1995) 583–604. [20] A. Metrick, Performance evaluation with transactions data: The stock selection of investment newsletters, J. Finance 54 (5) (1999) 1743–1775.
[21] A.G. Kerl, A. Walter, Market responses to buy recommendations issued by Personal Finance Magazines: effects of information, price-pressure,
and company characteristics, Rev. Financ. 11 (1) (2007) 117–141.
[22] B.M. Barber, D. Loeffler, The dartboard column: Second-hand information and price pressure, J. Financ. Quant. Anal. 28 (2) (1993) 273–284.
[23] H. Desai, P.C. Jain, An analysis of the recommendations of the superstar money managers at Barron’s annual roundtable, J. Finance 50 (4)
(1995) 1257–1273.
[24] K.L. Womack, Do brokerage analysts’ recommendations have investment value? J. Finance 51 (1) (1996) 137–167.
[25] E.J. Ferreira, S.D. Smith, Stock price reactions to recommendations in the Wall Street Journal Small Stock Focus column, Q. Rev. Econ. Financ.
39 (3) (1999) 379–389.
[26] N. Jegadeesh, W. Kim, Value of analyst recommendations: International evidence, J. Financial Mark. 9 (3) (2006) 274–309.
[27] B. Barber, R. Lehavy, M. McNichols, B. Trueman, Can investors profit from the prophets? Security analyst recommendations and stock returns,
[28] A. Kraus, H.R. Stoll, Price impacts of block trading on the New York Stock Exchange, J. Finance 27 (3) (1972) 569–588.
[29] J.L. Blouin, J.S. Raedy, D.A. Shackelford, Capital gains taxes and equity trading: Empirical evidence, J. Account. Res. 41 (4) (2003) 611–651.
[30] R.L. Albert, T.R. Smaby, Market response to analyst recommendations in the ‘‘dartboard’’ column: the information and price-pressure effects,
Rev. Financ. Econ. 5 (1) (1996) 59–74.
[31] B. Liang, Price pressure: Evidence from the dartboard column, J. Bus. 72 (1) (1999) 119–134.
[32] R.L. Albert, T.R. Smaby, Market response to analyst recommendations in the ‘‘dartboard’’ column: the information and price-pressure effects,
Rev. Financ. Econ. 5 (1) (1996) 59–74.
[33] S.J. Brown, J.B. Warner, Measuring security price performance, J. Financ. Econ. 8 (3) (1980) 205–258.
[34] B.M. Barber, T. Odean, All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors, Rev.
Financ. Stud. 21 (2) (2007) 785–818.
[35] T.C. Green, The value of client access to analyst recommendations, J. Financ. Quant. Anal. 41 (1) (2006) 1–24.
[36] J.S. Howe, E. Unlu, X.S. Yan, The predictive content of aggregate analyst recommendations, J. Account. Res. 47 (3) (2009) 799–821. [37] S.E. Stickel, The effect of value line investment survey rank changes on common stock prices, J. Financ. Econ. 14 (1) (1985) 121–143. [38] M.D. Beneish, Stock prices and the dissemination of analysts’ recommendation, J. Bus. 39 (1991) 3–416.
[39] D. Palmon, E.F. Sudit, A. Yezegel, The value of columnists’ stock recommendations: an event study approach, Rev. Quant. Financ. Account. 33 (3) (2009) 209–232.
[40] Nga N. Ho-Dac, The value of online user generated content in product development, Journal of Business Research (2020), 112,136–146.
[41]Feng Hu, Rohit H. Trivedi, Mapping hotel brand positioning and competitive landscapes by text-mining user-generated content, International Journal of Hospitality Management , (2020) , 84, 102317..
[42] Rajasree K. Rajamma, User-generated content (UGC) misclassification and its effects, Journal of Consumer Marketing (2020) , 37/2 , 125–138.