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The impact of attention heterogeneity on stock market in the era of big data

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Abstract

One direct driving factor of the stock market volatility is investors’ attention to relevant enterprise stocks and their investment behaviors, which has been widely accepted by the scholars. The development of new media has a huge impact on user information behavior, and big data technology provides a reliable data source for user behavior measurement. In this paper, we select 770 stocks from China A-shares market during 2013–2016 as a sample, and analyze the impact of attention heterogeneity in information sources and time on the performance of the stock market. Our empirical results show that the attention from search engines (Baidu and 360) and from professional financial information platform (Hexun) is significantly positively correlated with trading volume on weekdays; however, the attention from microblog (Weibo) may be negatively correlated with trading volume on weekdays and not significant. The attention heterogeneity in time makes big differences in the prediction of short-term stock returns. This paper fills in the literature gaps regarding the impact of attention heterogeneity on the performance of stock market in the era of big data.

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References

  1. Mitchell, M.L., Mulherin, J.H.: The impact of public information on the stock market. J. Financ 49(3), 923–950 (1994)

    Google Scholar 

  2. Stice, E.K.: The market reaction to 10-K and 10-Q filings and to subsequent The Wall Street Journal earnings announcements. Account. Rev. 1, 42–55 (1991)

    Google Scholar 

  3. Klibanoff, P., Lamont, O., Wizman, T.A.: Investor reaction to salient news in closed-end country funds. J. Financ. 53(2), 673–699 (1998)

    Google Scholar 

  4. Berry, T.D., Howe, K.M.: Public information arrival. J. Financ. 49(4), 1331–1346 (1994)

    Google Scholar 

  5. Chan, Y., Chui, A.C.W., Kwok, C.C.Y.: The impact of salient political and economic news on the trading activity [J]. Pacific-Basin Financ. J. 9(3), 195–217 (2001)

    Google Scholar 

  6. Yu-lei, R.A.O., Diefeng, P.E.N.G., Cheng, D.: Does media attention cause abnormal return?—Evidence from China’s stock market. Syst. Eng. Theory Pract. 2, 015 (2010)

    Google Scholar 

  7. Joseph, K., Wintoki, M.B., Zhang, Z.: Forecasting abnormal stock returns and trading volume using investor sentiment: evidence from online search. Int. J. Forecast. 27(4), 1116–1127 (2011)

    Google Scholar 

  8. Merton, R.C.: A simple model of capital market equilibrium with incomplete information. J. Financ. 42(3), 483–510 (1987)

    Google Scholar 

  9. Ding, R., Hou, W.: Retail investor attention and stock liquidity. J. Int. Financ. Mark. Inst. Money 37, 12–26 (2015)

    Google Scholar 

  10. Aral, S., Dellarocas, C., Godes, D.: Introduction to the special issue—social media and business transformation: a framework for research. Inf. Syst. Res. 24(1), 3–13 (2013)

    Google Scholar 

  11. Wang, J., Rao, Y., Die-feng, P.: What drives the stock market “media coverage effect”: expected media attention or unexpected media attention or unexpected media attention? Syst. Eng. Theory Pract. (2015)

  12. Luo, X., Zhang, J., Duan, W.: Social media and firm equity value. Inf. Syst. Res. 24(1), 146–163 (2013)

    Google Scholar 

  13. Das, S.R., Chen, M.Y.: Yahoo! for Amazon: sentiment extraction from small talk on the web. Manage. Sci. 53(9), 1375–1388 (2007)

    Google Scholar 

  14. Blankespoor, E., Miller, G.S., White, H.D.: The role of dissemination in market liquidity: evidence from firms’ use of Twitter™. Account. Rev. 89(1), 79–112 (2013)

    Google Scholar 

  15. Xu, S.X., Zhang, X.M.: Impact of Wikipedia on market information environment: evidence on management disclosure and investor reaction. Mis Q 37(4), 1043–1068 (2013)

    Google Scholar 

  16. Xu, B., Li, D.: An empirical study of the motivations for content contribution and community participation in Wikipedia. Inf. Manag. 52(3), 275–286 (2015)

    MathSciNet  Google Scholar 

  17. Lisheng, Yu., Yanyan, Wang: Competitive disclosure of information, investor attention and efficiency of information dissemination. Financ. Res. 8, 010 (2010)

    Google Scholar 

  18. Leiming, F., Yahui, Z., Difang, W.: Media-effect on stock returns: risk premium or over-attention underperformance. J. Financ. Res. 8, 013 (2013)

    Google Scholar 

  19. Da, Z., Engelberg, J., Gao, P.: In search of attention. J. Financ. 66(5), 1461–1499 (2011)

    Google Scholar 

  20. Qingjin, Yu., Bing, Zhang: Limited attention of individual investors and stock returns: an empirical study with Baidu Index as a proxy variable. J. Financ. Res. 8, 152–165 (2012). (In Chinese)

    Google Scholar 

  21. Nanli, Z., Zou, P., Zhang, Y., Li, X., Yang, L., Zhang, Y: Investor attention measurement research based on blog/weibo information: empirical data from China’s stock market. Inq. Econ. Issues (2015). (In Chinese)

  22. Wei, Xu, Donghua, Chen: Information disclosure from we media: evidence from Sina Weibo. J. Financ. Res. 03, 157–173 (2016)

    Google Scholar 

  23. Yang, X.: Influence of social interaction on stock market: an empirical analysis based on Sina finance blog. Secur. Mark. Herald (2016). (In Chinese)

  24. Zhou, J.: A Study on Investor Attention, Asset Pricing and Market Efficiency. Zhejiang University, Zhejiang (2016)

    Google Scholar 

  25. Li, Y., Liu, J.: Research on Information utilization behavior of individual investors investment decisions. Inf. Doc. Serv. 35(6), 29–34 (2014)

    MathSciNet  Google Scholar 

  26. Engelberg, J.E., Parsons, C.A.: The causal impact of media in financial markets. J. Financ. 66(1), 67–97 (2011)

    Google Scholar 

  27. Del Guercio, D., Tkac, P.A.: Star power: the effect of monrning star ratings on mutual fund flow. J. Financ. Quant. Anal. 43(4), 907–936 (2008)

    Google Scholar 

  28. Liu, X.: The impact of attention heterogeneity and media effect on stock markets. Harbin Institute of Technology, Harbin (2016)

    Google Scholar 

  29. Williamson, K.: Where information is paramount: a mixed method, multi-disciplinary investigation of Australian online investors. Inf. Res. 13(4), 49 (2008)

    Google Scholar 

  30. Loibl, C., Hira, T.K.: Investor information search. J. Econ. Psychol. 30(1), 24–41 (2009)

    Google Scholar 

  31. Luo, Y., Xiong, S.: Patterns and features of individual investors to select information resources. J. Intell. (2015). (In Chinese)

  32. Li, Q., Wang, J.: Securities investor information source and influence weight. Inf. Doc. Serv. (2016)

  33. Antweiler, W., Frank, M.Z.: Is all that talk just noise? The information content of internet stock message boards. J. Financ. 59(3), 1259–1294 (2004)

    Google Scholar 

  34. Mizrach, B., Weerts, S.: Experts online: an analysis of trading activity in a public Internet chat room. J. Econ. Behav. Organ. 70(1), 266–281 (2009)

    Google Scholar 

  35. Tumarkin, R., Whitelaw, R.F.: News or noise? Internet postings and stock prices. Financ. Anal. J. 57(3), 41–51 (2001)

    Google Scholar 

  36. Chen, H., De, P., Hu, Y.J., et al.: Wisdom of crowds: the value of stock opinions transmitted through social media. Rev. Financ. Stud. 27(5), 1367–1403 (2014)

    Google Scholar 

  37. Liu, L., Wu, J., Yu, Y., et al. Microblogging metrics and stock return movement. https://ssrn.com/abstract=2382971 (2013)

  38. Jin, X., Shen, D., Zhang, W.: Has microblogging changed stock market behavior? evidence from China. Phys. A 452, 151–156 (2016)

    Google Scholar 

  39. Simon, H.A.: Rationality as process and as product of thought. Am. Econ. Rev. 68, 1–16 (1978)

    Google Scholar 

  40. Drake, M.S., Roulstone, D.T., Thornock, J.R.: Investor information demand: evidence from Google searches around earnings announcements. J. Account. Res. 50(4), 1001–1040 (2012)

    Google Scholar 

  41. Vlastakis, N., Markellos, R.N.: Information demand and stock market volatility. J. Bank. Financ. 36(6), 1808–1821 (2012)

    Google Scholar 

  42. Zhiyuan, Z.H.A.O., Longkai, L.U., Ziyu, W.A.N.G.: The empirical study on relationship between stock returns and search volume from Baidu. J. Financ. Res. 4, 016 (2013)

    Google Scholar 

  43. Zhang, B., Wang, Y.: Limited attention of individual investors and stock performance: evidence from the ChiNext market. Econ. Model. 50, 94–104 (2015)

    Google Scholar 

  44. Wang, Yong, Yang, Qingyuan: The influence of network attention on stock returns in China. Rev. Invest. Stud. 33(2), 143–149 (2014)

    Google Scholar 

  45. Zhang, X.: Distribution of information dissemination channels and stock pricing. Tianjin University, Tianjin (2014)

    Google Scholar 

  46. Ryan, R.M., Weinstein, N., Bernstein, J., et al.: Vitalizing effects of being outdoors and in nature. J. Environ. Psychol. 30(2), 159–168 (2010)

    Google Scholar 

  47. Alliger, G.M., Williams, K.J.: Using signal-contingent experience sampling methodology to study work in the field: a discussion and illustration examining task perceptions and mood. Pers. Psychol. 46(3), 525–549 (1993)

    Google Scholar 

  48. Geurts, S.A.E., Kompier, M.A.J., Roxburgh, S., et al.: Does work-home interference mediate the relationship between workload and well-being? J. Vocat. Behav. 63(3), 532–559 (2003)

    Google Scholar 

  49. Brin, S., Page, L.: The anatomy of a large-scale hypertext web search engine [J]. Comput. Netw. ISDN Syst. 30(1), 107–117 (1998)

    Google Scholar 

  50. Edwards, J., McCurley, K., Tomlin, J.: An adaptive model for optimizing performance of an incremental web crawler. In: Proceedings of the 10th international conference on World Wide Web. ACM, pp. 106–113 (2001)

  51. Mondria J, Wu T. Asymmetric attention and stock returns. (2011)

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (NSFC) Nos. 71671075, 71371078, 71320107001 and the Program for HUST Academic Frontier Youth Team.

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  1. School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China

    Shiming Deng & Peipei Liu

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  1. Shiming Deng
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  2. Peipei Liu
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Correspondence to Peipei Liu.

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Deng, S., Liu, P. The impact of attention heterogeneity on stock market in the era of big data. Cluster Comput 22 (Suppl 3), 6157–6170 (2019). https://doi.org/10.1007/s10586-018-1886-8

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