Forecasting Stock Prices Using Reported Earnings and Past Prices
This study explores the use of corporate income and past prices as bases for predicting stock prices, leading to well-informed investment decisions. The regression model is used to show a significant relationship between reported earnings and the stock price (using San Miguel Corporation as example). This result provides support for the use of Price-Earnings multiples by practitioners in the Philippine stock market in estimating the long-term or intrinsic value of a security.
Likewise, the use of time series modelling as a prediction tool for SMC stock price is analysed. The study intends to find out whether the price of San Miguel shares would have a long term influence on its present price. Upon examination of a few autoregressive models fitted on weekly SMC price data, only the auto regressive model of order one is found to be a valid predictor. This means that only the most immediate past value of share price is useful in predicting the present share price.