Research on the effect of firm-specific investor sentiment on the idiosyncratic volatility anomaly: Evidence from the Chinese market

被引:3
|
作者
Chen, Haozhi [1 ]
Zhang, Yue [2 ]
机构
[1] South China Univ Technol, Sch Business Adm, Guangzhou, Peoples R China
[2] Shenzhen Univ, Shenzhen Audencia Financial Technol Inst, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
Idiosyncratic volatility; Firm-level investor sentiment; Behavioral finance; CROSS-SECTION; RETURN; LIQUIDITY; BEHAVIOR; RISK;
D O I
10.1016/j.pacfin.2023.102114
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper evaluates how investor sentiment contributes to explaining the idiosyncratic volatility (IVOL) anomaly from a firm-level perspective in the Chinese stock market. This study employs the principal component analysis method to construct firm-specific investor sentiment (FSIS) and analyzes the effects of investor sentiment on the IVOL anomaly. In contrast to market-level sentiment, FSIS, as a varying cross-sectional sentiment indicator, can contribute to interpreting the idiosyncratic volatility anomaly from a micro-and portfolio-level viewpoint. According to our empirical investigation, stocks with higher FSIS have lower IVOL returns, i.e., a significant positive correlation exists between FSIS and IVOL. Additionally, our research findings also show that the rising (falling) FSIS effectively strengthens (weakens) the idiosyncratic volatility anomaly, indicating that variations in investor sentiment substantially impact earnings anomalies. In the study of the persistent impact of FSIS, we find that portfolios with the highest FSIS have longer-term negative IVOL premium returns than portfolios with medium and low FSIS. Finally, our research serves as a reminder to regulators and investors that risk can be minimized by avoiding exposure to stocks with high investor sentiment.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Firm-specific news and idiosyncratic volatility anomalies: Evidence from the Chinese stock market
    Van Hai Hoang
    COGENT ECONOMICS & FINANCE, 2022, 10 (01):
  • [2] Jump volatility and firm-specific investor sentiment
    Wang, Chen
    Xiong, Xiong
    Li, Xiao
    JOURNAL OF INTERNATIONAL FINANCIAL MANAGEMENT & ACCOUNTING, 2024, 35 (03) : 694 - 722
  • [3] Firm-specific investor sentiment and earnings management: evidence from Brazil
    Esteves, Alexandre
    Piccoli, Pedro
    ACADEMIA-REVISTA LATINOAMERICANA DE ADMINISTRACION, 2024, 37 (02): : 186 - 203
  • [4] Firm-specific investor sentiment and the stock market response to earnings news
    Seok, Sang Ik
    Cho, Hoon
    Ryu, Doojin
    NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2019, 48 : 221 - 240
  • [5] Overnight Returns and Firm-Specific Investor Sentiment
    Aboody, David
    Even-Tov, Omri
    Lehavy, Reuven
    Trueman, Brett
    JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 2018, 53 (02) : 485 - 505
  • [6] Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market
    Wan, Xiaoyuan
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2018, 53 : 1 - 15
  • [7] Firm-specific investor sentiment and daily stock returns
    Seok, Sang Ik
    Cho, Hoon
    Ryu, Doojin
    NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2019, 50
  • [8] Firm-specific investor sentiment and stock price informativeness
    Qian, Binsheng
    Tan, Yusen
    FINANCE RESEARCH LETTERS, 2024, 66
  • [9] Do Overnight Returns Truly Measure Firm-Specific Investor Sentiment in the KOSPI Market?
    Seok, Sang Ik
    Cho, Hoon
    Park, Chanhi
    Ryu, Doojin
    SUSTAINABILITY, 2019, 11 (13):
  • [10] Idiosyncratic Volatility and Firm-Specific News: Beyond Limited Arbitrage
    DeLisle, R. Jared
    Mauck, Nathan
    Smedema, Adam R.
    FINANCIAL MANAGEMENT, 2016, 45 (04) : 923 - 951