Extreme Return, Extreme Volatility and Investor Sentiment

被引:8
|
作者
Gong, Xu [1 ,2 ,3 ]
Wen, Fenghua [1 ]
He, Zhifang [1 ]
Yang, Jia [4 ]
Yang, Xiaoguang [5 ]
Pan, Bin [6 ]
机构
[1] Cent S Univ, Business Sch, Changsha 410081, Hunan, Peoples R China
[2] Xiamen Univ, China Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Peoples R China
[3] Xiamen Univ, Sch Econ, Xiamen 361005, Peoples R China
[4] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410114, Hunan, Peoples R China
[5] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
[6] Wenzhou Univ, Financial Res Inst, Wenzhou 325035, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Extreme return; Extreme volatility; Investor sentiment; Quantile regression; STOCK RETURNS; ESTIMATORS; VARIANCE; MODELS; MARKET;
D O I
10.2298/FIL1615949G
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The extreme return and extreme volatility have great influences on the investor sentiment in stock market. However, few researchers have taken the phenomenon into consideration. In this paper, we first distinguish the extreme situations from non-extreme situations. Then we use the ordinary generalized least squares and quantile regression methods to estimate a linear regression model by applying the standardized AAII, the return and volatility of SP 500. The results indicate that, except for extremely negative return, other return sequences can cause great changes in investor sentiment, and non-extreme return plays a leading role in affecting the overall American investor sentiment. Extremely positive (negative) return can rapidly improve (further reduce) the level of investor sentiment when investors encounter extremely pessimistic situations. The impact gradually decreases with improvement of the sentiment until the situation turns optimistic. In addition, we find that extreme and non-extreme volatility cannot affect the overall investor sentiment.
引用
下载
收藏
页码:3949 / 3961
页数:13
相关论文
共 50 条
  • [1] Investor Sentiment Caused by Extreme Income and Extreme Volatility
    Wen, Fenghua
    Yang, Jia
    2014 SEVENTH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION (CSO), 2014, : 428 - 430
  • [2] Overreaction to extreme market events and investor sentiment
    Piccoli, Pedro
    Chaudhury, Mo
    APPLIED ECONOMICS LETTERS, 2018, 25 (02) : 115 - 118
  • [3] The Nonlinear Relationship between Investor Sentiment, Stock Return, and Volatility
    He, Gang
    Zhu, Shuzhen
    Gu, Haifeng
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2020, 2020
  • [4] Volatility measurement with pockets of extreme return persistence
    Andersen, Torben G.
    Li, Yingying
    Todorov, Viktor
    Zhou, Bo
    JOURNAL OF ECONOMETRICS, 2023, 237 (02)
  • [5] SHOCK SPILLOVERS BETWEEN EXCHANGE RATE RETURN, VOLATILITY AND INVESTOR SENTIMENT
    Skrinjaric, Tihana
    Lovretin Golubic, Zrinka
    Orlovic, Zrinka
    PROCEEDINGS OF FEB ZAGREB 11TH INTERNATIONAL ODYSSEY CONFERENCE ON ECONOMICS AND BUSINESS, 2020, 2 (01): : 358 - 372
  • [6] Investor sentiment and local bias in extreme circumstances: The case of the Blitz
    Urquhart, Andrew
    Hudson, Robert
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2016, 36 : 340 - 350
  • [7] Conditional Volatility and Investor Sentiment
    Gao, Bin
    Chen, Xinxin
    Xie, Jun
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 241 - 241
  • [8] Empirical analysis of dynamic spillovers between exchange rate return, return volatility and investor sentiment
    Skrinjaric, Tihana
    Golubic, Zrinka Lovretin
    Orlovic, Zrinka
    STUDIES IN ECONOMICS AND FINANCE, 2021, 38 (01) : 86 - 113
  • [9] Investor sentiment and stock return volatility: evidence from the Indian Stock Exchange
    Sreenu, N.
    Naik, Suresh
    ASIA-PACIFIC JOURNAL OF BUSINESS ADMINISTRATION, 2022, 14 (04) : 467 - 478
  • [10] Asymmetric relationship of investor sentiment with stock return and volatility: evidence from India
    Chakraborty, Madhumita
    Subramaniam, Sowmya
    REVIEW OF BEHAVIORAL FINANCE, 2020, 12 (04) : 435 - 454