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Analysis and Prediction of Stock Prices for China’s Big Four Banks Based on Markov Chain

YAN JIAWEI

Abstract


Predicting stock trends is a social hotspot and choosing a proper model is crucial for stock research. This paper uses the daily closing prices of the china’s big four banks on the Shanghai Stock Exchange from January 2019 to June 2025 and calculates daily returns via the
logarithmic return method. Then, it analyzes returns and volatility, and applies the Markov chain to predict the return changes of these banks.
The results show that the four banks have different risk characteristics. Only the predicted returns of the Construction Bank are accurate,
while the actual returns of the other three banks are higher than the predicted ones. This indicates that the Markov chain method can effectively predict the minimum returns of the big four banks and that its prediction accuracy are related to the risk characteristics of the predicted
stocks.

Keywords


Markov Chain; Return; China’s Big Four banks

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References


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DOI: http://dx.doi.org/10.18686/fm.v10i5.14180

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