Paper Title : Comparative Study of Pre and Post COVID impact on Stock Markets
ISSN : 2394-2231
Year of Publication : 2020
MLA Style: Ashutosh Nagaria, Chirag Jain, Himadri Vipat, Darshan Mehta, Danish Sheikh " Comparative Study of Pre and Post COVID impact on Stock Markets " Volume 7 - Issue 3 May-June ,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: Ashutosh Nagaria, Chirag Jain, Himadri Vipat, Darshan Mehta, Danish Sheikh " Comparative Study of Pre and Post COVID impact on Stock Markets " Volume 7 - Issue 3 May-June ,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
The Stock Market is over a century old concept used around the globe to raise money. It is a very volatile industry and predicting it can be particularly hard for the investors. The stock price predictor helps the investors to make educated guesses and hence manage risk efficiently by devising a diverse portfolio. The stock price prediction can be done effectively and accurately by using machine learning and deep learning algorithms. Recently the world was hit by Coronavirus and the disease it causes it highly contagious. Due to which the entire operations of all countries have been shut down which had a hard impact on the economy. The economies of even the developed countries seems to be going down affecting the markets and eventually the Stock Markets. In this paper, we have attempted to perform a comparative study between the pre and post covid impacts on stock prices of various industries viz. Automobile industry, IT industry, Pharmaceutical industry and the Indices of Indian stock market. We have used the ARIMA ie Auto Regressive Integrated Moving Average as our flagship model for all the predictions and discussed its accuracy and efficiency over other algorithms.
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Machine Learning, Time-Series Analysis, ARIMA Model, LSTM, Stock price prediction, Indian Stock Market