Are crowds on the internet wiser than experts? The case of a stock prediction community

Journal of Business Economics

Volumn 84, Issue 3, 2014, Pages 303-338

  Nofer, Michael ^a   Hinz, Oliver ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Forecasting; Social media; Stock prediction communities; Wisdom of crowds

Indexed keywords

EID: 84923522499     PISSN: 00442372     EISSN: 18618928     Source Type: Journal    
DOI: 10.1007/s11573-014-0720-x     Document Type: Article

References (100)

1. Ammon U (2009) Delphi-Befragung—Handbuch Methoden der Organisationsforschung. VS Verlag für Sozialwissenschaften, Wiesbaden
2. Anderson JR (1981) Cognitive skills and their acquisition. Erlbaum, New Jersey
3. Antweiler W, Frank MZ (2004) Is all that talk noise? The information content on Internet stock message boards. J Financ 59(3):1259–1294
4. Aral S, Brynjolfsson E, Van Alstyne M (2008) Sharing mental models: antecedents and consequences of mutual knowledge in teams. Working Paper
5. Arch E (1993) Risk-taking: a motivational basis for sex differences. Psychol Rep 73(3):6–11
6. Armstrong JS (1980) The seer-sucker theory: the value of experts in forecasting. Technol Rev 83:16–24
7. Avery C, Chevalier J, Zeckhauser R (2009) The ‘CAPS’ prediction system and stock market returns. Working Paper, Harvard Kennedy School
8. Bajtelsmit VL, VanDerhei JA (1997) Risk aversion and pension investment choices. In: Gordon MS, Mitchell OS, Twinney MM (eds) Positioning pensions for the twenty-first century. University of Pennsylvania Press, Philadelphia, pp 91–103
9. Banerjee AV (1992) A simple model of herd behavior. Q J Econ 107(3):797–817
10. Bantel KA, Jackson SE (1989) Top management and innovations in banking: does the composition of the top team make a difference? Strat Manag J 10(S1):107–124
11. Barber B, Odean T (2001) Boys will be boys: gender, overconfidence, and common stock investment. Q J Econ 116(1):261–292
12. Barber BM, Lehavy R, McNichols M, Trueman B (2006) Buys, holds, and sells: the distribution of investment banks’ stock ratings and the implications for the profitability of analysts’ recommendations. J Acc Econ 41(1–2):87–117
13. Bennouri M, Gimpel H, Robert J (2011) Measuring the impact of information aggregation mechanisms: an experimental investigation. J Econ Behav Organ 78(3):302–318
14. Berg J, Forsythe R, Rietz T (1997) What makes markets predict well? Evidence from the Iowa Electronic Markets. In: Albers W, Güth W, Hammerstein P, Moldovanu B, Van Damme E (eds) Understanding Strategic interaction: essays in Honor of Reinhard Selten. Springer, New York, pp 444–463
15. Bikhchandani S, Hirshleifer D, Welch I (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. J Polit Econ 100(5):992–1026
16. Bogle JC (2001) John Bogle on investing. McGraw-Hill, New York
17. Bogle JC (2005) The mutual fund industry sixty years later: for better or worse? Financ Anal J 61(1):15–24
18. Bollen J, Mao H, Zeng XJ (2010) Twitter mood predicts the stock market. J Comput Sci 2(1):1–8
19. Byrnes J, Miller DC, Schafer WD (1999) Gender differences in risk taking: a meta-analysis. Psychol Bull 125(3):367–383
20. Cao HH, Coval JD, Hirshleifer D (2002) Sidelined investors, trade-generated news, and security returns. Rev Financ Stud 15(2):615–648
21. Carhart MM (1997) On persistence in mutual fund performance. J Financ 52(1):57–82
22. Chesbrough H, Crowther AK (2006) Beyond high tech: early adopters of open innovation in other industries. R&D Manag 36(3):229–236
23. Cocozza JJ, Steadman HJ (1978) Prediction in psychiatry: an example of misplaced confidence in experts. Soc Probl 25(3):265–276
24. Dalkey N, Helmer O (1963) An experimental application of the Delphi method to the use of experts. Manag Sci 9(3):458–467
25. Daniel K, Grinblatt M, Titman S, Wermers R (1997) Measuring mutual fund performance with characteristic-based benchmarks. J Financ 52(3):1035–1058
26. Das SR, Chen MY (2007) Yahoo! for Amazon: sentiment extraction from small talk on the web. Manag Sci 53(9):1375–1388
27. Das SR, Sisk J (2003) Financial communities. Santa Clara University, Working Paper
28. Deaux K, Farris E (1977) Attributing causes for one’s own performance: the effects of sex, norms, and outcome. J Res Pers 11(1):59–72
29. DeBondt WFM (1993) Betting on trends: intuitive forecasts of financial risk and return. Int J Forecast 9(3):355–371
30. DeMarzo PM, Vayanos D, Zwiebel J (2003) Persuasion bias, social influence, and unidimensional opinions. Q J Econ 118(3):909–968
31. Dhar V, Chang E (2009) Does chatter matter? The impact of user-generated content on music sales. J Interact Mark 23(4):300–307
32. Diefenbach RE (1972) How good is institutional brokerage research? Financ Anal J 28(1):54 (pp 56–60)
33. Dimson E, Marsh P (1986) Event study methodologies and the size effect: the case of UK press recommendations. J Financ Econ 17(1):113–142
34. Elron E (1997) Top management teams within multinational corporations: effects of cultural heterogeneity. Leadership Quart 8(4):393–412
35. Fama EF (1970) Efficient capital markets: a review of theory and empirical work. J Financ 25(2):383–417
36. Forsythe R, Rietz TA, Ross TW (1999) Wishes, expectations and actions: a survey on price formation in election stock markets. J Econ Behav Orga 39(1):83–110
37. Galton F (1907) Vox populi. Nature 75:450–451
38. Giles J (2005) Internet encyclopaedias go head to head. Nature 438:900–901
39. Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski ML, Brilliant L (2009) Detecting influenza epidemics using search engine query data. Nature 457:1012–1015
40. Goh KY, Heng CS (2013) Social Media brand community and consumer behavior: quantifying the relative impact of user- and marketer-generated content. Inform Syst Res 24(1):88–107
41. Gottschlich J, Hinz O (2013) A decision support system for stock investment recommendations using collective wisdom. Working Paper
42. Graham JR (1999) Herding among investment newsletters: theory and evidence. J Financ 54(1):237–268
43. Groth JC, Lewellen WG, Schlarbaum GG, Lease RC (1979) An analysis of brokerage house securities recommendations. Financ Anal J 35(1):32–40
44. Gu B, Konana P, Rajagopalan B, Chen HWM (2007) Competition among virtual communities and user valuation: the case of investing-related communities. Inform Syst Res 18(1):68–85
45. Heckman JJ, Ichimura H, Todd PE (1997) Matching as an econometric evaluation estimator: evidence from evaluating a job training programme. Rev Econ Stud 64:605–654
46. Hertwig R (2012) Tapping into the wisdom of the crowd—with confidence. Science 336:303–304
47. Hill S, Ready-Campbell N (2011) Expert stock picker: the wisdom of (experts in) crowds. Int J Electron Comm 15(3):73–101
48. Hinz O, Spann M (2008) The impact of information diffusion on bidding behavior in secret reserve price auctions. Inform Syst Res 19(3):351–368
49. Hinz RP, McCarthy DD, Turner JA (1997) Are women conservative investors? gender differences in participant directed pension investments. In: Gordon MS, Mitchell OS, Twinney MM (eds) Positioning pensions for the twenty-first century. University of Pennsylvania Press, Philadelphia, pp 91–103
50. Hinz O, Schulze C, Takac C (2013) New product adoption in social networks: why direction matters. J Bus Res 67(1):2836–2844
51. Hogarth RM (1978) A note on aggregating opinions. Organ Behav Hum Perf 21:40–46
52. Hong L, Page SE (2001) Problem solving by heterogeneous agents. J Econ Theory 97(1):123–163
53. Hong H, Stein JC (1999) A unified theory of underreaction, momentum trading, and overreaction in asset markets. J Financ 54(6):2143–2184
54. Hong H, Kubik JD, Stein JC (2005) Thy neighbor’s portfolio: word-of-mouth effects in the holdings and trades of money managers. J Financ 60(6):2801–2824
55. Howe J (2008) Crowdsourcing: why the power of the crowd is driving the future of business. Crown Business, New York
56. Jegadeesh N, Titman S (1993) Returns to buying winners and selling losers: implications for stock market efficiency. J Financ 48(1):65–91
57. Jehn KA, Northcraft GB, Neale MA (1999) Why differences make a difference: a field study of diversity, conflict, and performance in workgroups. Admin Sci Quart 44(4):741–763
58. Jensen M (1968) The performance of mutual funds in the period 1945–1964. J Financ 23(2):389–416
59. Jeppesen LB, Frederiksen L (2006) Why do users contribute to firm-hosted user communities? The case of computer-controlled music instruments. Organ Sci 17(1):45–63
60. Jianakoplos NA, Bernasek A (1998) Are women more risk averse? Econ Inq 36(4):620–630
61. Johnston R, McNeal BF (1967) Statistical versus clinical prediction: length of neuropsychiatric hospital stay. J Abnorm Psychol 72(4):335–340
62. Kelly K, Low B, Tan HT, Tan SK (2012) Investors’ reliance on analysts’ stock recommendations and mitigating mechanisms for potential overreliance. Contemp Acc Res 29(3):991–1012
63. Kilduff M, Angelmar R, Mehra A (2000) Top management-team diversity and firm performance: examining the role of cognitions. Organ Sci 11(1):21–34
64. Kittur A, Kraut RE (2008) Harnessing the wisdom of crowds in Wikipedia: quality through coordination. In: Proceedings of the 2008 ACM conference on Computer supported cooperative work, pp 37–46
65. Koriat A (2012) When are two heads better than one and why? Science 336:360–362
66. Lakonishok J, Maberly E (1990) The weekend effect: trading patterns of individual and institutional investors. J Financ 45(1):231–243
67. Larkin JH, McDermott J, Simon DP, Simon HA (1980) Expert and novice performance in solving physics problems. Science 208:1335–1342
68. Leimeister JM, Huber M, Bretschneider U, Krcmar H (2009) Leveraging crowdsourcing: activation-supporting components for IT-based ideas competition. J Manag Inform Syst 26(1):197–224
69. Levy BI, Ulman E (1967) Judging psychopathology from paintings. J Abnorm Psychol 72(2):182–187
70. Lewellen WG, Lease RC, Schlarbaum GG (1977) Patterns of investment strategy and behavior among individual investors. J Bus 50(3):296–333
71. Lorenz J, Rauhut H, Schweitzer F, Helbing D (2011) How social influence can undermine the wisdom of crowd effect. Proc Natl Acad Sci USA 108(22):9020–9025
72. Malkiel BG (1995) Returns from investing in equity mutual funds 1971–1991. J Financ 50(2):549–572
73. Malmendier U, Shanthikumar D (2007) Are small investors naive about incentives? J Financ Econ 85(2):457–489
74. March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2(1):71–87
75. Mitchell ML, Mulherin JH (2007) The impact of public information on the stock market. J Financ 49(3):923–950
76. Niederhoffer V (1971) The analysis of world events and stock prices. J Bus 44(2):193–219
77. Odean T (1998) Volume, volatility, price, and profit when all traders are above average. J Financ 53(6):1887–1934
78. Page SE (2007) Making the difference: applying a logic of diversity. Acad Manag Perspect 21(4):6–20
79. Poetz MK, Schreier M (2012) The value of crowdsourcing: can users really compete with professionals in generating new product ideas? J Prod Innovat Manag 29(2):245–256
80. Prince M (1993) Women, men, and money styles. J Econ Psychol 14(1):175–182
81. Rajagopalan MS, Khanna V, Stott M, Leiter Y, Showalter TN, Dicker A, Lawrence YR (2010) Accuracy of cancer information on the Internet: a comparison of a Wiki with a professionally maintained database. J Clin Oncol 28(15):6058
82. Reagans R, Zuckerman EW (2001) Networks, diversity, and productivity: the social capital of corporate R&D teams. Organ Sci 12(4):502–517
83. Rosenbaum P, Rubin D (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55
84. Rouwenhorst KG (1998) International momentum strategies. J Financ 53(1):267–284
85. Scharfstein DS, Stein JC (1990) Herd behavior and investment. Am Econ Rev 80(3):465–479
86. Schwind M, Hinz O, Stockheim T, Bernhardt M (2008) Standardizing interactive pricing for electronic business. Electron Markets 18(2):161–174
87. Sharpe W (1966) Mutual fund performance. J Bus 39(1):119–138
88. Shiller RJ (2002) Bubbles, human judgment, and expert opinion. Financ Anal J 58(3):18–26
89. Simmons JP, Nelson LD, Galak J, Frederick S (2011) Intuitive biases in choice versus estimation: implications for the wisdom of crowds. J Consum Res 38(1):1–15
90. Spann M, Skiera B (2003) Internet-based virtual stock markets for business forecasting. Manag Sci 49(10):1310–1326
91. Sunden AE, Surette BJ (1998) Gender differences in the allocation of assets in retirement savings plans. Am Econ Rev 88(2):207–211
92. Surowiecki J (2004) The wisdom of crowds. Doubleday, New York
93. Taft R (1955) The ability to judge people. Psychol Bull 52(1):1–23
94. Tetlock PC (2007) Giving content to investor sentiment: the role of media in the stock market. J Financ 62(3):1139–1168
95. Treynor JL (1987) Market efficiency and the bean jar experiment. Financ Anal J 43(3):50–53
96. Vul E, Pashler H (2008) Measuring the crowd within: probabilistic representations within individuals. Psychol Sci 19(7):645–647
97. Watson WE, Kumar K, Michaelsen LK (1993) Cultural diversity’s impact on interaction process and performance: comparing homogeneous and diverse task groups. Acad Manag J 36(3):590–602
98. Welch I (2000) Herding among security analysts. J Financ Econ 58(3):369–396
99. Williams KY, O’Reilly CA (1998) Demography and diversity in organizations. In: Staw BM, Sutton RM (eds) Research in organizational behavior (20). JAI Press, Stamford, pp 77–140
100. Wolfers J, Zitzewitz E (2004) Prediction markets. J Econ Perspect 18(2):107–126