Efficiency compared to ARIMA and ARFIMA models for modeling and prediction of Tehran Price Index (TEPIX)

Subject Areas : Journal of Investment Knowledge

Habibollah  salarzehi ¹ (Sistan & Baluchestan University, Zahedan, Iran)
Mansoor kasha  kasha ² (MSc in Financial Management, Sistan & Baluchestan University, Zahedan, Iran)
Seyed-Hasan  Hosseini ³ (MSc in Financial Management, Sistan & Baluchestan University, Zahedan, Iran)
Mohammad  Donyaei ⁴ (Department of Management, Young Researchers Club, Zahedan Branch, Islamic Azad University)

Received: 2012-05-19 Accepted : 2012-07-20 Published : 2012-07-20

Keywords: Forecast, Return, Autoregressive Integrated Movi, Autoregressive fractionally in,

Abstract :

This article examines the forecast performance of ARFIMA and ARIMA models using data on daily stock price index of Tehran in period 25/11/2001 to 30/11/2011. To estimate the d parameter and other parameters, the NLS method in the software package Oxmetric / pcgive was used. After comparing the results of research models, ARFIMA models based on AIC, the model was found superior in modeling TEPIX. Also we use naive methods for estimating the prediction. Comparing the accuracy of the prediction models by criteria such as MAPFE and RMSFE and confidence intervals of  the real values, we can deduce that the first Performance difference between the predicted long-term memory ARFIMA model is very minor compared to the ARIMA model And Secondly, inefficient ARFIMA model in Tehran capital market forecast is quite evident.