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Information Journal Paper

Title

FORECASTING OF TEHRAN SECURITIES PRICE INDEX USING ARFLMA MODEL

Pages

  163-180

Abstract

 In this paper we investigate the LONG MEMORY of Tehran Securities Price Index and fit ARFIMA MODEL using 970 daily data since 1382/1/6 until 1386/4/17. Furthermore, we compare the forecasting performance of ARFIMA and ARIMA MODELs. The results show that the series is a LONG MEMORY one and therefore it can become stationary by fractional differencing. We obtaine the fractional differencing parameter d=0.4767.Having done the fractional differencing and determination of the number of lags of autoregressive and moving average components, the model is specified as ARFlMA (2, 0.4767, 18). We estimate the parameters of the model using 900 in-sample data and use this estimates for forecasting 70 out-sample data. Comparing forecasting performance of two models illustrate that forecasting performance of ARFIMA MODEL is better than ARIMA MODEL.

Cites

References

Cite

APA: Copy

ERFANI, A.R.. (2009). FORECASTING OF TEHRAN SECURITIES PRICE INDEX USING ARFLMA MODEL. TAHGHIGHAT-E-EGHTESADI, 44(86), 163-180. SID. https://sid.ir/paper/11932/en

Vancouver: Copy

ERFANI A.R.. FORECASTING OF TEHRAN SECURITIES PRICE INDEX USING ARFLMA MODEL. TAHGHIGHAT-E-EGHTESADI[Internet]. 2009;44(86):163-180. Available from: https://sid.ir/paper/11932/en

IEEE: Copy

A.R. ERFANI, “FORECASTING OF TEHRAN SECURITIES PRICE INDEX USING ARFLMA MODEL,” TAHGHIGHAT-E-EGHTESADI, vol. 44, no. 86, pp. 163–180, 2009, [Online]. Available: https://sid.ir/paper/11932/en

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