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Forecasting Stock Market Price of Microchip Technologies using ARIMA

Kiran H M

Abstract


The research delves into predicting stock market price of Microchip Technology Inc. using ARIMA (AutoRegressive Integrated Moving Average) model. The stock history prices are collected from New York Stock Exchange (NYSE), from which the ARIMA model is developed with p, d, and q values. MAPE (Mean Average Percentage Error) is obtained from the ARIMA model, which is used to measure the performance of the model. The model shows the effectiveness of ARIMA in forecasting short-term future stock price with acceptable accuracy which helps investors to analyse the situation of a company before making a decision to invest or not.


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References


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