基于LSTM模型的2019冠状病毒病期间印度股市分析与预测

Pub Date : 2021-01-01 DOI:10.1504/IJESMS.2021.10036743

Manisha Saravagi, Deepika Saravagi, Shweta Agrawal

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引用次数: 10

摘要

在本研究中，引入了一种计算方法来预测股票价格，并统计分析2020年1月30日至2020年7月17日COVID-19对印度股市的影响。采用长短期记忆模型，通过比较各板块在历史价格基础上的每日股价变动和收益，预测所选公司的股价。结果表明，疫情爆发后，股市迅速下跌，但从长远来看，股市自我恢复。最后，我们将预测值与实际值进行了可视化比较。这项研究有助于投资者研究COVID-19危机对不同公司的影响，通过这一分析，我们可以假设未来几周股市将从2020年的损失中恢复过来。版权所有©2021 Inderscience Enterprises Ltd。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Indian stock market analysis and prediction using LSTM model during COVID-19

In this study, a computational approach was introduced for predicting the stock prices and statistically analyse the impact of COVID-19 on Indian stock market from 30 January 2020 to 17 July 2020. Long short-term memory model is applied to predict the stock prices of selected companies by comparing the daily stock price movement and returns of various sectors based on historical prices. Results indicate that the stock market fell quickly after the virus outbreak but in the long run, the stock market recovered itself. Finally, we have visualised and compared the predicted values with the actual values. This research helps investors to study the effect of COVID-19 crises at different company's profile and with this analysis, we can assume that in the coming weeks the stock market will recover from the 2020 losses. Copyright © 2021 Inderscience Enterprises Ltd.

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