Abstract
In current days, doing research in stock market is much critical as it shows a nonlinear and random nature based upon several factors. In order to make the profit in future, many invests in stock market rely on some forecast. For prediction of the stock price, people or the investment organization uses some methods and tools. Stock price prediction in stock market is providing main role in stock market business. Use of conventional methods such as fundamental and technical study may not guarantee the consistency of the forecast. In many cases, regression analysis is employed for the forecasting of the stock price. In this paper, we survey the some of the competent regression approach for the price prediction of the stock in stock market. The result of these regression analyses has also been further improvised or can be improvised more using more number of variables and machine learning or data science techniques.
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Gupta, B.K., Mallick, M.K., Hota, S. (2021). Survey on Stock Price Forecasting Using Regression Analysis. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 153. Springer, Singapore. https://doi.org/10.1007/978-981-15-6202-0_16
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DOI: https://doi.org/10.1007/978-981-15-6202-0_16
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