Abstract

Both individual and institutional investors are affected by investor sentiment to varying degrees. Based on this, the research theme for this paper is the interaction between investor sentiment and the market for stocks. It begins with defining and quantifying the idea of investor sentiment and then analyzes how investor sentiment and the market for stocks are related, including stock market yield, stock price crash risk, and stock market bubble aspects. It is found that the definition of investor sentiment mostly revolves around the perspectives of "expectation" and "deviation", and the quantitative indicators of investor sentiment are mainly divided into three parts: objective, subjective, and network big data. Investor sentiment is highly predictive of changes in stock market yields in the short term, and high investor sentiment is more likely to lead to stock price crash risk or stock market bubbles. Finally, this paper points out the shortcomings of existing research, and puts forward the future prospects of relevant research conclusions, so as to provide a reference for subsequent scholars to conduct research on investor sentiment and the stock market.

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