USEFUL DECISION MAKING FOR COMMON STOCK SELECTION BY USING REGRESSION TECHNIQUES

Abstract

Decision making in Prediction of stock market performance is the most complicated thing. There are so many issues to influence the prediction of the stock market; they include the Physical, Physiological and Rational behavior. All these factors combine to make difficult to predict the share price. By means of features like most up-to-date announcements regarding to the organization, their periodical returns. Machine Learning (ML) techniques encompass prospective to come across patterns and insights. The prediction procedure considered as irrespective of these external factors and only considers the internal factors and variables. Price predictions are typically evaluated on the basis of statistical criteria; accurate predictions of stock market help the investors more reliable and motivated towards the business of buying and selling shares. Mathematical methodologies uses interpreter variables to predict the conclusion of a variable by using statistical approaches like regression techniques, we can able to expect the consequences of the stock price. The successfulprediction will direct to real life solutions for stock investors.