• DocumentCode
    571396
  • Title

    The Influence of Investor Sentiment on Stock Return and its Volatility under Different Market States

  • Author

    Zou, Huiwen ; Sun, Lei

  • Author_Institution
    Sch. of Manage., Fuzhou Univ., Fuzhou, China
  • fYear
    2012
  • fDate
    18-21 Aug. 2012
  • Firstpage
    337
  • Lastpage
    341
  • Abstract
    In order to distinguish the different influence of investors´ sentiment on stock return and its volatility, the states of stock market are divided to bull market and bear market, and the noise trade model of Delong, Shleifer, Summers and Waldmann is expanded. Based on the expanded model, the influence of investors´ sentiment on stock return and its volatility under the different stock market states is discussed. The results show that when the heterogeneous noise traders have misperception of assets higher than the average level, their behaviors will push the stock prices to deviate from stock fundamental values; moreover, optimistic noise traders´ behavior will make the asset prices deviate further; and as long as the misperception of optimistic noise trader biased further than pessimistic noise trader´s, the price of risky assets will fluctuated significantly, then the optimistic noise traders will get excess returns while the expected returns of pessimistic noise traders will become less and the risk of pessimistic noise traders will increase. These results provide theoretical reference for investors to invest rationally under the different stock market states.
  • Keywords
    investment; pricing; stock markets; asset prices; bear market; bull market; different market states; heterogeneous noise traders; investor sentiment; noise trade model; optimistic noise traders; pessimistic noise trader; pessimistic noise traders; risky assets price; stock fundamental values; stock market; stock return; Correlation; Educational institutions; Finance; Noise; Pricing; Stock markets; bear market; bull market; investor sentiment; noise trading; return volatility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on
  • Conference_Location
    Lanzhou
  • Print_ISBN
    978-1-4673-2092-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2012.77
  • Filename
    6305140