Jordan : Technical Assistance Report-Forecasting Framework for Currency in Circulation.
The currency in circulation forecasting model presently used by the Central Bank of Jordan is aligned with international practices and provides a solid basis for liquidity management. The central bank uses an Auto Regressive Integrated Moving Average (ARIMA) model with many indicator variables to mo...
| מחבר תאגידי: | |
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| פורמט: | כתב-עת |
| שפה: | English |
| יצא לאור: |
Washington, D.C. :
International Monetary Fund,
2022.
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| סדרה: | IMF Staff Country Reports; Country Report
;No. 2022/101 |
| נושאים: | |
| גישה מקוונת: | Full text available on IMF |
| סיכום: | The currency in circulation forecasting model presently used by the Central Bank of Jordan is aligned with international practices and provides a solid basis for liquidity management. The central bank uses an Auto Regressive Integrated Moving Average (ARIMA) model with many indicator variables to model binary seasonality and to capture special events. The ARIMA model is fitted on daily currency in circulation data using a standard maximum likelihood estimator. This ARIMA approach is aligned with the models traditionally used by central banks in emerging and middle-income countries. |
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| תאור פריט: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| תיאור פיזי: | 1 online resource (38 pages) |
| פורמט: | Mode of access: Internet |
| ISSN: | 1934-7685 |
| גישה: | Electronic access restricted to authorized BRAC University faculty, staff and students |