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This article thoroughly examines the multitude of factors influencing stock price fluctuations and the analytical methodologies employed to comprehend them. Macro-economic variables such as economic growth, inflation rates, and monetary policies exert direct influences on stock prices. In addition, investor sentiment, a subjective factor among market participants, significantly shapes market dynamics. Emotional fluctuations and their cumulative effects can lead to the significant market volatility, potentially compromising market stability. To provide the deeper insights into stock price movements, the article introduces advanced analytical models such as the ARMA-TGARCH-M and GARCH-SVM models. These frameworks mentioned enhance the precision and scientific rigor of analyzing stock price fluctuations, catering to both investors and researchers. By advocating for the adoption of more accurate analytical techniques, the article aims to foster the stable evolution of financial markets, facilitating informed decision-making, and promoting sustainable market development, thereby contributing to the advancement and stability of the financial market.
Yixin Zhang (Thu,) studied this question.