Open Access Presidential Scholars Thesis
The purpose of this research was to determine which, if any, financial and economic variables significantly affect the closing value of the Standard & Poor's 500 Index. The goal of finding the significant variables which affect the Standard & Poor's 500 Index was accomplished by performing a multiple regression analysis. This regression model used the closing quarterly value of the Standard & Poor's 500 Index as the dependent variable. The independent variables included the 90-day Treasury Bill rate, domestic corporate profits, and real disposable personal income. The data set for each of these variables was their closing quarterly value for the period beginning in March of 1963 and ending in December of 1987. The data were obtained from the U. S. Department of Commerce (1991).
Date of Award
Department of Economics
Presidential Scholar Designation
A paper submitted in partial fulfillment of the requirements for the designation Presidential Scholar
1 PDF file (14 pages)
©1995 - Barry White
White, Barry, "Multiple regression analysis on the S & P 500 index" (1995). Presidential Scholars Theses (1990 – 2006). 153.