The International Institute for Science, Technology and Education (IISTE)
Abstract
We use two and half year data set of 50 companies of Nifty along with Nifty from 1st Jan 2009 to 28th June 2011 and apply multivariate technique for data reduction, namely Factor Analysis. Using Factor analysis we reduce these 50 companies’ data (50 variables) into the most significant 4 FACTORS. These four significant factors are then used to predict the Nifty using Multiple linear regression. We observed that the model is good fitted and it explained 90 % of the total variance. Keywords: Nifty, Factor Analysis, Multiple Linear Regression, Data reduction
