社交媒体投资者行为、行业波动与溢出效应

金大卫; 陈镜宇; 夏梦冉

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科研管理 ›› 2023, Vol. 44 ›› Issue (5) : 174-183.

论文

社交媒体投资者行为、行业波动与溢出效应

金大卫¹,陈镜宇¹,夏梦冉²

作者信息 +

Investor behaviors, industry volatility and spillover effects in social media

Jin Dawei¹, Chen Jingyu¹, Xia Mengran²

Author information +

文章历史 +

摘要

我国股市频繁出现各行业股票同涨同跌和轮动异象，社交媒体中活跃的投资者行为可能加速、加剧行业间的风险传染。因此，厘清社交媒体中的投资者行为对股市行业风险的影响及其传导性是防控股市行业风险传染的基本前提。本文以2019—2020年我国A股19个行业下的153家上市公司为样本，在行业层面实证检验了社交媒体中投资者情绪和投资者关注对已实现波动率的影响，探究了行业情绪溢出效应的存在性及其传播路径，并进一步讨论了新冠疫情后的溢出情况。研究结果表明：投资者情绪及关注的高涨和投资者意见分歧的扩大化均会显著加剧行业波动；而投资者情绪及关注的大幅变动，则会抑制行业波动。整体来看，市场中存在经由投资者行为的行业间风险传染现象，投资者情绪溢出效应的理论假说被证实，具体表现为7对显著的情绪溢出关系，且溢出方向单一明确。后疫情时代，存在情绪溢出关系的行业降为5对，并表现出溢出强度变大、影响范围缩小且存在连续路径的新特征。本文揭示了相对隐蔽的跨行业情绪溢出路径，扩展了投资者行为溢出的研究内容，对后疫情时代下市场高度不确定情境中的金融实践具有重要现实启示。

Abstract

Preventing and resolving financial risks is a key topic of financial work. Given the frequent price synchronization and turnover of industry indices in Chinese stock markets, prevention and control of inter-industry risk is a top priority. At the same time, the active behavior of investors in social media may accelerate and intensify the risk contagion among industries in the stock market. Therefore, clarifying the impact of investor behavior in social media on the risk of stock market industries and its inherent mechanism has important theoretical and practical significance for investors′ asset management, regulators′ policy optimization, and financial risk prevention and control.
Research on the spillover of investor behavior mainly focus on three types: first, the spillover of investor behavior on price indicators; second, the spillover of investor behavior among markets; and third, the intermediary role played by investor behavior in other spillover relationships. Lu and Chen (2015) put forward theoretical hypothesis of the "investor sentiment spillover effects", but no subsequent studies have explored it in depth. Which investor behavior is the main factor influencing industry volatility in the social media context? Is there an investor behavior spillover effect? If so, what are the specific manifestations?
Based on the above problems, this paper empirically examines the impact of investor sentiment and investor attention in social media on realized volatility at the industry level, explores the existence of industry sentiment spillover effects and their propagation paths, and discusses the spillover effects after the COVID-19 epidemic. This paper collected a sample of 153 listed companies under 19 industries in China′s A-shares from 2019 to 2020. Specifically, we use a panel fixed effects model to study the impact of investor behaviors on industry volatility, while the directed acyclic graphs (DAG), the structural vector autoregression (SVAR) model, and the information spillover model of Diebold and Yilmaz (2012) are used in studies related to spillover effects.
We find in this study that: (1) From the social media perspective, investor sentiment is the main factor driving industry volatility in all investor behaviors under the absolute, relative, and differential three dimensions. In absolute and differential dimensions, higher investor sentiment and attention and wider investor disagreement significantly exacerbate industry volatility. While in the relative dimension, large changes in investor sentiment and attention dampen industry volatility. (2) Overall, there is inter-industry risk contagion via investor behavior in the stock market. Theoretical hypothesis of investor sentiment spillover effects is confirmed by 7 pairs of significant sentiment spillover relationships with a single clear direction of spillover. In the post-epidemic period, the number of industry pairs with sentiment spillovers decreases to 5, but the intensity of spillovers becomes stronger, and the scope of impact narrows and appears a continuous path.
Based on the above findings, we argue that investors should choose a top-down asset allocation approach from sectors to individual stocks in the post-epidemic period. To uncover valuable new information for financial practices such as underlying selection, risk diversification, and asset pricing, the investors should not only take inter-industry linkages and the policies on industries and industrial chains into account but also the investor irrational behavior factors while making an investment decision.
The main features of this paper are as follows: first, examining the impact of investor behaviors in social media on volatility from the industry level, and further revealing the existence of relatively hidden cross-industry sentiment spillover effects and their propagation paths. Second, portraying investor behaviors in social media by constructing diversified indicators into absolute, relative, and differential dimensions from two behavioral facets of investor sentiment and attention. Finally, the work of this paper provides a novel addition to the empirical investigation of spillovers on investor behavior and also sheds new light on investor asset management, regulatory policy optimization, and the prevention and control of financial risk in the post-epidemic period. In future research, we will consider examining differences in investor behaviors and their effects based on multi-platform information or continue exploring the characteristics and performance of institutional investors as well as other financial markets.

导出引用

金大卫陈镜宇夏梦冉. 社交媒体投资者行为、行业波动与溢出效应[J]. 科研管理. 2023, 44(5): 174-183

Jin Dawei, Chen Jingyu, Xia Mengran. Investor behaviors, industry volatility and spillover effects in social media[J]. Science Research Management. 2023, 44(5): 174-183

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基金

高等学校学科创新引智基地项目（B21038，2021.01—2025.12）；中南财经政法大学中央高校基本科研项目（2722021AJ001，2021.03—2024.03）；研究生人才培养计划项目（YRTD202214，2022.01—2024.12；XKRH202101，2021.01—2023.12）。