Estimating Stock Returns Using Rough Set Theory: An Exploratory study With An Evidence From Iraq Stock Exchange
DOI:
https://doi.org/10.33095/jeas.v27i128.2154Keywords:
Stock Returns, Rough Set Theory, Conditional Attributes, Decision Rule, lower approximation, upper approximationAbstract
This research aims to estimate stock returns, according to the Rough Set Theory approach, test its effectiveness and accuracy in predicting stock returns and their potential in the field of financial markets, and rationalize investor decisions. The research sample is totaling (10) companies traded at Iraq Stock Exchange. The results showed a remarkable Rough Set Theory application in data reduction, contributing to the rationalization of investment decisions. The most prominent conclusions are the capability of rough set theory in dealing with financial data and applying it for forecasting stock returns.The research provides those interested in investing stocks in financial markets with significant financial analysis tools that exceed the traditional statistical methods. The originality of the research lies in the diversification of financial and statistical analysis tools and methods of forecasting stock returns
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