Investors’ attention is limited. When investors have limited access to information resources, those events that attract investors’ limited attention in the stock market could usually affect their investment decisions. Some literature argues that, to some extent, if a stock is listed on today’s “Dragon-Tiger” Board, the listing event could create a short-term momentum in its price. Since this pattern can be noticed by anybody, the individual investor who possesses fund dominance could create this same kind of listing event artificially and manipulate other investors’ attention. To clearly test and examine this motivation, this paper firstly explains the theoretical mechanism of how fund-dominant accounts profit from pumping up the stock price and selling it in the next day by taking advantage of investors’ attention. And then, this paper chooses China’s A-share stocks which are listed on the “Dragon-Tiger” Board only because its price movement deviation hits 7% on that day as the sample, and the time span is from January 2015 to July 2019. Thanks to the availability of account-level data from a China security company, a name list of suspicious speculative fund-dominant accounts is found. Through the empirical test of the relationship between the speculation of these fund-dominant accounts and the selling decision of the next day, this paper finds that: First, there indeed exist speculation and price manipulation activities driven by fund-dominant accounts which can be concluded as a “one-day trip” trading pattern. Second, when the stock is listed on the “Dragon-Tiger” Board, the higher dominance a fund-dominant account speculates, the stronger the positive relationship between the speculation intention and the next day’s selling decision is. Third, the information disclosure mechanism of the “Dragon-Tiger” Board can capture the accounts that hype stocks and have a strong tendency of “one-day tour”. From the perspective of the causes behind the attention events in China’s stock market, this paper studies the speculation behavior of fund-dominant accounts, and provides micro evidence for the research on investors’ attention, asset pricing and trade-based price manipulation. Also, this paper contributes to the research on the public information disclosed by stock exchanges, and provides enlightenment for the supervisor and the stock exchange to further improve the governance system of the stock market.
/ Journals / Journal of Finance and Economics
Journal of Finance and Economics
LiuYuanchun, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YaoLan BaoXiaohua HuangJun, Vice Editor-in-Chief
Could Fund-dominant Accounts Take Advantage of Investors’ Attention? Based on Individual Investors’ Account-level Trading Data of the “Dragon-Tiger” Listed Stocks from a Security Company
Journal of Finance and Economics Vol. 46, Issue 06, pp. 94 - 109 (2020) DOI:10.16538/j.cnki.jfe.2020.06.007
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[1]Dai Y. The formation mechanism of stock market bubbles and deep thoughts on the great debate: Distorted stock market and the banker complex[J]. Economic Research Journal, 2001, (4): 41-50. (In Chinese)
[2]Fang J, Wu Q, Fu Q. Limited attention, competing information and market reaction to recommendation[J]. Journal of Financial Research, 2018, (7): 193-206. (In Chinese)
[3]Feng X. Does investor attention affect investors’ behavior? Evidence from the “Dragon and Tiger” list in China[J]. China Economic Quarterly, 2016, (1): 255-274. (In Chinese)
[4]Li Z, Wang J, Li M. A study on China’s stock market manipulation’s effects on market liquidity: Based on closing price manipulation behavior’s identification and monitoring[J]. Journal of Financial Research, 2018, (2): 135-152. (In Chinese)
[5]Li Z, Zou M. Research on Measurement and influencing factors of manipulation in China’s stock market: Based on the characteristics of listed companies[J]. Journal of Central University of Finance and Economics, 2018, (12): 25-36. (In Chinese)
[6]Ling A, Yang X. Financial contagion channel of attention allocation based on Google Trends[J]. Journal of Management Sciences in China, 2012, (11): 104-116. (In Chinese)
[7]Liu J, Chen J, Li L. Investor attention and market reaction: A natural experiment based on trading information disclosure from stock exchanges in China[J]. Journal of Financial Research, 2019, (11): 189-206. (In Chinese)
[8]Quan X, Wu S. Investor attention, accrual mispricing and earnings manipulation[J]. Accounting Research, 2012, (6): 46-53. (In Chinese)
[9]Tang X, Gao H. A study on the identification of manipulation in the security market from the perspective of administrative penalty cases[J]. Contemporary Law Review, 2016, (4): 103-117. (In Chinese)
[10]Wang Z, Liu H, Wang X, et al. Optimal investment strategy of institutional investors under capital constraints[J]. Systems Engineering: Theory and Practice, 2006, (9): 10-16. (In Chinese)
[11]Zhang J, Huang Z. Internal control, innovation and firm performance: Empirical evidence from Chinese manufacturing companies[J]. Economic Management, 2016, (9): 120-134. (In Chinese)
[12]Zhang Z, Yang T. Chasing noise or recognizing value: An empirical study on information seeking behavior of Chinese mutual funds[J]. Economic Research Journal, 2014, (7): 138-150. (In Chinese)
[13]Zhou C, Yang Y, Wang Y. Trading-based market manipulation in China’s stock market[J]. Economic Research Journal, 2005, (10): 70-78. (In Chinese)
[14]Aggarwal R K, Wu G J. Stock market manipulations[J]. The Journal of Business, 2006, 79(4): 1915-1953. DOI:10.1086/503652
[15]Allen F, Gale D. Stock-price manipulation[J]. The Review of Financial Studies, 1992, 5(3): 503-529. DOI:10.1093/rfs/5.3.503
[16]Andrei D, Hasler M. Investor attention and stock market volatility[J]. The Review of Financial Studies, 2015, 28(1): 33-72. DOI:10.1093/rfs/hhu059
[17]Barber B M, Odean T. All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors[J]. The Review of Financial Studies, 2008, 21(2): 785-818. DOI:10.1093/rfs/hhm079
[18]Corwin S A, Coughenour J F. Limited attention and the allocation of effort in securities trading[J]. The Journal of Finance, 2008, 63(6): 3031-3067. DOI:10.1111/j.1540-6261.2008.01420.x
[19]Da Z, Engelberg J, Gao P J. In search of attention[J]. The Journal of Finance, 2011, 66(5): 1461-1499. DOI:10.1111/j.1540-6261.2011.01679.x
[20]DellaVigna S, Pollet J M. Investor inattention and Friday earnings announcements[J]. The Journal of Finance, 2009, 64(2): 709-749. DOI:10.1111/j.1540-6261.2009.01447.x
[21]Fang L, Peress J. Media coverage and the cross-section of stock returns[J]. The Journal of Finance, 2009, 64(5): 2023-2052. DOI:10.1111/j.1540-6261.2009.01493.x
[22]Jiang G L, Mahoney P G, Mei J P. Market manipulation: A comprehensive study of stock pools[J]. Journal of Financial Economics, 2005, 77(1): 147-170. DOI:10.1016/j.jfineco.2004.10.005
[23]Kahneman D. Attention and effort[M]. New Jersey: Prentice Hall, 1973.
[24]Kraus A, Stoll H R. Price impacts of block trading on the New York stock exchange[J]. The Journal of Finance, 1972, 27(3): 569-588. DOI:10.1111/j.1540-6261.1972.tb00985.x
[25]Neupane S, Rhee S G, Vithanage K, et al. Trade-based manipulation: Beyond the prosecuted cases[J]. Journal of Corporate Finance, 2017, 42: 115-130. DOI:10.1016/j.jcorpfin.2016.11.011
[26]Seasholes M S, Wu G J. Predictable behavior, profits, and attention[J]. Journal of Empirical Finance, 2007, 14(5): 590-610. DOI:10.1016/j.jempfin.2007.03.002
Cite this article
Liu Liya, Jin Zhengxuan, Chen Ruihua. Could Fund-dominant Accounts Take Advantage of Investors’ Attention? Based on Individual Investors’ Account-level Trading Data of the “Dragon-Tiger” Listed Stocks from a Security Company[J]. Journal of Finance and Economics, 2020, 46(6): 94-109.
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