China Real Estate Stock Price Prediction Based on PSO-BP Neural Network Model and Country Impact Analysis

As a pivotal role in China's economy, real estate stocks are related to the country's economic security, so it is of great significance to predict the price of China's real estate stocks. Based on the optimized BP neural network, the PSO-BP neural network model is established to predict the closing price of Vanke
$A$
, an important real estate stock in China. RMSE and MAE are selected as performance indicators, and the experimental results show that the prediction performance of the PSO-BP model is markedly improved compared with that of the BP neural network.