社会互动,投资者情绪传染与资产泡沫——基于股票论坛发帖的实证研究

doi:10.12005/orms.2018.0043

运筹与管理 ›› 2018, Vol. 27 ›› Issue (2): 124-132.DOI: 10.12005/orms.2018.0043

社会互动,投资者情绪传染与资产泡沫——基于股票论坛发帖的实证研究

罗衎¹, 王春峰¹, 房振明²

1.天津大学管理与经济学部,天津 300072;
2.天津大学金融工程研究中心,天津 300072

收稿日期:2016-12-04 出版日期:2018-02-25
作者简介:罗衎,男,北京人,博士研究生,研究方向为金融工程、资本市场理论与实践;王春峰,男,河北邢台,教授,博士生导师,研究方向为金融工程、资本市场理论与实践;房振明,男,辽宁锦州,副教授,博士后,研究方向为金融工程、资本市场理论与实践。
基金资助:
国家自然科学基金资助项目(71271146,71671122)

Social Interaction, Investor Sentiment Contagion and Asset Bubbles: An Empirical Study Based on the Stock Forum Discussion

LUO Kan, WANG Chun-feng, FANG Zhen-ming

1.College of Management and Economics, Tianjin University, Tianjin 300072, China;
2.Financial Engineering Research Center, Tianjin University, Tianjin 300072, China

Received:2016-12-04 Online:2018-02-25

摘要/Abstract

摘要： 在资本市场中,投资者并不是相互独立的个体,而是相互学习、相互交流的。随着互联网的迅猛发展,这种社会互动变得更为频繁和普遍,因此社会互动对资产价格的影响也不容小觑。本文先通过理论建模提出理论假设:社会互动存在条件下,投资者互动会加剧市场情绪的传染,进而增加资产泡沫;当投资者情绪高涨时,投资者互动强度显著正向影响泡沫;当投资者情绪低落时,投资者互动强度显著负向影响泡沫;受社会互动影响,投资者活跃的交易会加剧市场情绪的传染,进而增加资产泡沫。之后本文基于股票论坛发帖构建社会互动、投资者情绪指标,验证了中国股票市场中本文理论假设的正确性。

关键词: 社会互动, 投资者情绪传染, 泡沫, 股票论坛发帖, 情感分析

Abstract: In the capital market, investors are not independent of each other, but they learn from each other and communicate with each other. With the rapid development of the Internet, this kind of social interaction becomes more frequent and widespread. As a result, the influence of social interaction on asset prices cannot be underestimated. In this paper, we put forward three theoretical hypothesis through theoretical modeling. Firstly, under the condition of the existence of social interaction, investor interaction will increase the degree of market sentiment contagion, and then will increase the asset bubbles. Secondly, when investor sentiment is high, the strength of investor interaction significantly positively influences the bubble, and vice versa. Affected by social interaction, investors active trading will increase the degree of investor sentiment contagion, and then will increase the asset bubbles. Afterwards, we construct social interaction and investor sentiment index based on stock forum discussion, to verify the correctness of the theoretical hypothesis proposed in this paper based on Chinese stock market.

Key words: social interaction, investor sentiment contagion, bubbles, stock forum discussion, emotion analysis

中图分类号:

F830

罗衎, 王春峰, 房振明. 社会互动,投资者情绪传染与资产泡沫——基于股票论坛发帖的实证研究[J]. 运筹与管理, 2018, 27(2): 124-132.

LUO Kan, WANG Chun-feng, FANG Zhen-ming. Social Interaction, Investor Sentiment Contagion and Asset Bubbles: An Empirical Study Based on the Stock Forum Discussion[J]. Operations Research and Management Science, 2018, 27(2): 124-132.

参考文献

[1] Shiller R J, Pound J. Survey evidence on diffusion of interest and information among investors[J]. Journal of Economic Behavior & Organization, 1989, 12(1): 47-66.
[2] Scharfstein D S, Stein J C. Herd behavior and investment[J]. The American Economic Review, 1990. 465-479.
[3] Hong H, Kubik J D, Stein J C. Social interaction and stock market participation[J]. The Journal of Finance, 2004, 59(1): 137-163.
[4] Friedman M. Essays in positive economics[M]. University of Chicago Press, 1953.
[5] De Long J B, Shleifer A, Summers L H, Waldmann R J. Noise trader risk in financial markets[J]. Journal of Political Economy, 1990, 98: 703-738.
[6] Brock W A, Hommes C H. A rational route to randomness[J]. Econometrica:Journal of the Econometric Society, 1997. 1059-1095.
[7] Brock W A, Hommes C H. Heterogeneous beliefs and routes to chaos in a simple asset pricing model[J]. Journal of Economic Dynamics and Control, 1998, 22(8): 1235-1274.
[8] Hommes C H. Financial markets as nonlinear adaptive evolutionary systems[J]. Quantitative Finance, 2001, (1): 149-167.
[9] LeBaron B. Agent-based computational finance[J]. Handbook of Computational Economics, 2006, 2: 1187-1233.
[10] Brock W, Lakonishok J, LeBaron B. Simple technical trading rules and the stochastic properties of stock returns[J]. The Journal of Finance, 1992, 47(5): 1731-1764.
[11] Kaizoji T. Speculative bubbles and crashes in stock markets: an interacting-agent model of speculative activity[J]. Physica A: Statistical Mechanics and its Applications, 2000, 287(3): 493-506.
[12] Leombruni R, Palestrini A, Gallegati M. Mean field effects and interaction cycles in financial markets. in: heterogenous agents, interactions and economic performance[M]. Springer Berlin Heidelberg, 2003. 259-275.
[13] Chiarella C, Gallegati M, Leombruni R, A Palestrini. Asset price dynamics among heterogeneous interacting agents[J]. Computational Economics, 2003, 22(2-3): 213-223.
[14] Chang S K. A simple asset pricing model with social interactions and heterogeneous beliefs[J]. Journal of Economic Dynamics and Control, 2007, 31(4): 1300-1325.
[15] Chang S K. Herd behavior, bubbles and social interactions in financial markets[J]. Studies in Nonlinear Dynamics and Econometrics, 2014, 18(1): 89-101.
[16] Brock W A, Durlauf S N. The econometrics of interactions-based models. in: handbook of econometrics[M]. North-Holland, Amsterdam, 2001a, 5.
[17] Brock W A, Durlauf S N. Discrete choice with social interactions[J]. The Review of Economic Studies, 2001b, 68(2): 235-260.
[18] Antweiler W, Frank M Z. Is all that talk just noise? the information content of internet stock message boards[J]. The Journal of Finance, 2004, 59(3): 1259-1294.
[19] Bondt W F M, Thaler R. Does the stock market overreact?[J]. The Journal of Finance, 1985, 40(3): 793-805.
[20] Chiarella C, He X Z. Heterogeneous beliefs, risk and learning in a simple asset pricing model[J]. Computational Economics, 2002, 19(1): 95-132.
[21] 杨继红,王浣尘.基于卡尔曼滤波的股市泡沫度量[J].上海交通大学学报,2006,40(4):693-696.

社会互动,投资者情绪传染与资产泡沫——基于股票论坛发帖的实证研究

Social Interaction, Investor Sentiment Contagion and Asset Bubbles: An Empirical Study Based on the Stock Forum Discussion

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