Forecasting Stock Market using Multiple Linear Regression ijtsrd


Regression is one of the most powerful statistical methods used in business and marketing researches. This paper shows the important instance of regression methodology called Multiple Linear Regression MLR and proposes a framework of the forecasting of the Stock Index Price, based on the Interest Rate and the Unemployment Rate. This paper was applied the aid of the Statistical Package for Social Sciences SPSS version 23 and PYTHON version 3.7.

by Yee Mon Khaing | Myint Myint Yee | Ei Ei Aung “Forecasting Stock Market using Multiple Linear Regression”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd27819.pdf

Paper URL: https://www.ijtsrd.com/computer-science/data-miining/27819/forecasting-stock-market-using-multiple-linear-regression/yee-mon-khaing

call for paper Architecture, international journal Bio system Engineering, ugc approved journals Engineering maths




Forecasting Stock Market using Multiple Linear Regression ijtsrd





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