By using the time series of stock price, we apply the multiplicative decomposition model that decomposed into the trend, seasonal and cyclical factors to fit the stock price of high technical electronic industry in Taiwan. Seasonality is an important feature of these series that we make two methods handling. The Method II of seasonal factor is better than Method I. The main results of this study demonstrate that the model is quite satisfactory.
Relation:
Journal of information & optimization sciences 19(3), pp.353-371
