Modelling the Currency in Circulation for the State of Qatar

Faruk Balli and Elsayed Elsamadisy

MPRA Paper from University Library of Munich, Germany

Abstract: The main concern of this report is to model the daily and weekly forecasting of the currency in circulation (CIC) for the State of Qatar. The time series of daily observations of the CIC is expected to display marked seasonal and cyclical patterns daily, weekly or even monthly basis. We have compared the forecasting performance of typical linear forecasting models, namely the regression model and the seasonal ARIMA model using daily data. We found that seasonal ARIMA model performs better in forecasting CIC, particularly for short-term horizons.

Keywords: Currency in Circulation; Forecasting; Seasonal ARIMA (search for similar items in EconPapers)
JEL-codes: C32 C53 (search for similar items in EconPapers)
Date: 2010-01-15
New Economics Papers: this item is included in nep-cwa, nep-for and nep-mon
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Related works:
Journal Article: Modelling the currency in circulation for the State of Qatar (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:20159

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