Özet:

Great majority of the studies on Istanbul Stock Exchange market (ISE100) have focused on various type of discrete modeling such as AR/MA, ARIMA, GARCH, Vector AR and extensions of GARCH modeling. The importance of finding a suitable model for a stock exchange market and having an efficient forecast results from the model is undisputable. In this study we will model ISE100 with simple AR(1) model and taking a step further in analysis to continuous modeling. Recent challenge in financial time series modeling is to find an appropriate continuous model for the data used. In our case continuous AR(1) (CAR(1)) model will be applied to ISE100 and the results of the financial modeling will be evaluated.

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