Forecasting Stock Market Price of Microchip Technologies Using ARIMA
Year: 2024
Type: article
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 gained 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.
Author: Kiran H M
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6893033347
FWCI:
Cites:
Cited by:
Related to: