Abstract

Investor sentiment wields substantial influence within the stock market, reflecting emotional states and beliefs held by investors, encompassing optimism, pessimism, and fear. As attention to its impact surges, the interplay of sentiment, trading decisions, stock prices, and trading volumes gains prominence. This paper examines investor sentiment's mechanisms, exploring its distinct forms and transmission channels, and highlights its critical role in shaping market expectations. Optimistic sentiment fosters a belief in market upswings, potentially leading to over investment and market bubbles. Conversely, pessimistic sentiment drives market pessimism, leading to panic selling and steep market declines. Fear sentiment triggers market volatility, amplifying fluctuations during significant events. The diffusion of investor sentiment through media channels and its interplay with market expectations is explored. Insights into investor sentiment's integration with stock market returns, classification methods, and proxy variables are showcased. Domestic research innovation is underscored, combining foreign insights with China's unique context. However, challenges remain, owing to sentiment's subjectivity and market complexities. Future research avenues are identified: understanding sentiment drivers, enriching theoretical frameworks, and leveraging technology for predictive accuracy. Psychological theories, behavioral finance, and AI-driven analytics offer promising directions. Interdisciplinary collaboration is advocated to unveil the intricate relationships between investor sentiment, market fundamentals, and external factors, enabling more informed decision-making and refined risk management. Investor sentiment's significance is undeniable. By unraveling its complexities, academia and practitioners can fortify their ability to predict market volatility and strategize effectively in an ever-evolving financial landscape.

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