Statistical Inference on Share Market: A Review

Abstract

This paper is an attempt to study the importance and use of statistical techniques like testing of hypothesis, correlation and regression analysis etc in the study of stock market pattern. Random walk hypothesis, behavioral hypothesis, cross over effect, future equity returns, regression analysis of trading and stock returns are discussed here along with some data analysis of the study conducted using the historical data for S&P CNX NIFTY, the closing indices of the equity market from 1990 to 2008 the data of R2, volatility and returns of SENSEX scripts for one-year period of 30 companies of BSE. The statistical analysis for these data, using SPSS to emphasize the significance of statistical tools in the field of stock prices.