基于Logistic微分方程系统的新冠肺炎疫情期间印尼银行股价格拟合与预测

Proceedings of the 2022 4th International Conference on E-Business and E-Commerce Engineering Pub Date : 2022-12-14 DOI:10.1145/3589860.3589881

Viska Noviantri, Andree Sulistio Chandra, Yuhani Yusof

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摘要

本文采用印尼银行业中资产数量最多的四家银行在疫情期间的价格，完成拟合和预测模拟。结果表明，该模型在拟合过程中的MAPE平均值为6.331%。换句话说，logistic方程准确地反映了银行股的价格波动。接下来，通过预测过程对某一时期的股价波动进行预测。因此，股票价格的波动

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Fit and Forecasting Indonesia Banking Stock Price During Covid-19 Pandemic Based on Logistic Differential Equation System

price during the pandemic of the four banks with the largest number of assets in Indonesia’s banking sectors is applied here to complete the fit and forecasting simulation. The results show that the MAPE average value of this model in the fit process is 6.331%. In other words, the logistic equation accurately represents banking stock price fluctuation. Next, the forecast process conducts to predict the stock price fluctuation for some periods. Thus, the fluctuation of stock prices

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Proceedings of the 2022 4th International Conference on E-Business and E-Commerce Engineering

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