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Abstract

Over the past century, research has been prevalent in the economic and financial literature on developing models to assist in the prediction of stock market price and stock market indices. Stock market price prediction is a complicated process, which has produced and conceptualized several theories regarding stock markets over the years. Most of these theories either try to explain the nature of stock markets or try to explain whether the markets can be manipulated through inefficiencies which often lead to financial gain for investors. Most of these past prediction models have utilized some form of quantitative-based regression analysis, including logit, stochastic, and multiple linear regression.

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