Abstract
The present investigation investigates the relationship between the S&P BSE market and particular financial characteristics through statistical analysis. The Indian stock market is crucial element of the nation’s financial framework, functions via two primary stocks provides: the Bombay Stock Exchange and National Stock Exchange. It examines money supply, Interest Rate (IR), Consumer Price Index (CPI), Exchange Rate and Inflation on BSE S&P index of India. The Statistical Package for Social Sciences (SPSS) is utilized to execute Correlation Matrix, Regression analysis and Descriptive Statistics. These analyses include assessing Variance Inflation Factor (VIF), Goodness of Fit, Durbin-Watson d-statistics, Determination Coefficient and Goodness Fit. The analysis findings suggest that the S&P BSE value exhibits a positive correlation with every variable that is independent, except for interest Rate. Conversely, Interest Rate has a negative connection with other variables. The connection among Consumer Price Index and money supply are rising, meaning that the consumer price index rises in response to an increase in the money supply. There is a negative connection between money supply and interest rate, indicating that a rise in the money supply causes interest rates to fall. The VIF of every independent variables value, with the exception of the money supply and the CPI, is within the acceptable range. The independent variables seem to have a significant impact on the S&P BSE values.
Keywords: Correlation, Durbin-Watson d-Statistics, Determination and Regression, Variance Inflation Factor.