INFORMATION WORTH OF OBSERVATIONS IN
PREDICTION OF MONTHLY AVERAGE OF GOLD PRICE
Mostafa Pouralizadeh1, Mojgan Pouralizadeh2
1,2Department of Mathematics
Azad University of Lahijan
Lahijan, Postal Code: 44169-39515, IRAN
Abstract. In this study, we try to quantify the information worth of observation in the monthly average of gold price for prediction of future outcome. Furthermore, with the fitness of an ARMA model to the data under the condition of contamination, we show how to improve the precision of prediction.
AMS Subject classification: 28D20, 37M10
Keywords and phrases: (ACF) Auto Correlation Function, (PACF) Partial Auto Correlation Function, (ARMA) Auto Regressive Moving Average, stationary time series


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DOI: 10.12732/ijam.v26i4.2

Volume: 26
Issue: 4
Year: 2013