• DocumentCode
    120211
  • Title

    Investor Sentiment Caused by Extreme Income and Extreme Volatility

  • Author

    Fenghua Wen ; Jia Yang

  • Author_Institution
    Bus. Sch., Central South Univ., Changsha, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    428
  • Lastpage
    430
  • Abstract
    In order to research the situation of the stock market extreme gains and extreme volatility how to have great influence on investor sentiment. This article selects the S&P 500 weekly closing price of American market and extracts yield and volatility sequences. Linear regression model is established on the basis of the difference between extreme and not extreme case to study the emotional change brought by extreme income and extreme volatility. The empirical results show: Except for the extreme negative earnings, other yield sequence can significantly stir up investor´s mood, among which the not extreme gains place the first in causing the investor´s emotional change in the United States; Extreme positive yield have more significant effect on investor sentiment than extreme negative yield; Volatility cannot affect all investor´s sentiment effectively and steadily, thus it has limited explanation on investor sentiment.
  • Keywords
    investment; psychology; stock markets; American market; United States; emotional change; extreme income; extreme negative earnings; extreme volatility; investor sentiment; linear regression model; stock market extreme gains; volatility sequences; Business; Indexes; Mathematical model; Stability analysis; Standards; Stock markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.146
  • Filename
    6923718