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
Link To Document