My analysis of the S&P 500 data will include logistic and linear regressions and visual representations of the data, to include visualizations of mutate data for comparison. For example, taking a group of companies that have a P/E over 20 and asking what both the price should be or the earnings should be to get it to a P/E of 16, then comparing the difference in prices and earnings to other companies across the board and within the same industry. Then, we try to fit a model of price against P/E, P/B, & P/S to see how they relate. The data I have collected is from 2024, which is prior to this current market correction we have currently.

GARCH(1,1) modeling of Google stock to analyze time-varying volatility using R. Includes data prep, model fitting, and visualizations.

MATH201_finalProject