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Forecasting Stock Market using Multiple Linear Regression

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Forecasting Stock Market using Multiple Linear Regression


Yee Mon Khaing | Myint Myint Yee | Ei Ei Aung



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, pp.2174-2176, URL: https://www.ijtsrd.com/papers/ijtsrd27819.pdf

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.

MLR, SPSS, Stock Index Price, Interest Rate, Unemployment Rate


IJTSRD27819
Volume-3 | Issue-5, August 2019
2174-2176
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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