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Homogenous Ensemble of Time-Series Models for Indian Stock Market

  • Sourabh YadavEmail author
  • Nonita Sharma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11297)

Abstract

In the present era, Stock Market has become the storyteller of all the financial activity of any country. Therefore, stock market has become the place of high risks, but even then it is attracting the mass because of its high return value. Stock market tells about the economy of any country and has become one of the biggest investment place for the general public. In this manuscript, we present the various forecasting approaches and linear regression algorithm to successfully predict the Bombay Stock Exchange (BSE) SENSEX value with high accuracy. Depending upon the analysis performed, it can be said successfully that Linear Regression in combination with different mathematical functions prepares the best model. This model gives the best output with BSE SENSEX values and Gross Domestic Product (GDP) values as it shows the least p-value as 5.382e−10 when compared with other model’s p-values.

Keywords

Stock market Forecasting Time series Univariate analysis Multivariate analysis Regression Linear regression 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Gautam Buddha UniversityGreater NoidaIndia
  2. 2.Dr B R Ambedkar National Institute of TechnologyJalandharIndia

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