PREDICTING THE STOCK PRICES USING REGRESSION APPROACH
Abstract
Stock market is where investing and increasing the capital. Prediction on stock market is an approach for deciding the value for the future. Stock price prediction is determined as a difficult task for the investors, corporate and financial institutions. Prediction on stock prices is a complex one and affected by various factors which is prevailing in the market. Prediction on stock market can be done by using regression method. This regression method is used to predict the future stock prices by establishing a relationship between independent and dependent variables. This paper examines and predicts the stock prices of S&P BSE Sensex and Bajaj Auto limited using regression method.
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References
Abdulsalam Sulaiman OS, Adewole Kayode S, and Jimoh RG. (2011). "Stock Trend Prediction Using Regression Analysis – A Data Mining Approach", ARPN Journal of Systems and Software, Vol.1(4), pp.154-157.
Gharehchopogh FS, Haddadi BT, and Reza KS. (2013). "A Linear Regression Approach to prediction of stock market trading volume: a case study", International Journal of Managing Value and Supply Chains (IJMVSC), Vol.4(3), pp.25-30.
Sahoo PK, and Krishna C. (2015). "Stock Price Prediction Using Regression Analysis", International Journal of Scientific & Engineering Research, Vol.6(3), pp.1655-1659.
Shah MA, and Bhavsar CD. (2015). "Predicting Stock Market using Regression Technique", Research Journal of Finance and Accounting, Vol.6(3), pp.27-33.
Nigade B, Pawar A, Bavane V, Siddhant, and Kulkarni S. (2017). "Stock Trend Prediction Using Regression Analysis – A Data Mining Approach", International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5(2), pp.254-261.
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