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|a 1934-7685
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|a BD-DhAAL
|c BD-DhAAL
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|a International Monetary Fund.
|b Monetary and Capital Markets Department.
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|a Jordan :
|b Technical Assistance Report-Forecasting Framework for Currency in Circulation.
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|a Washington, D.C. :
|b International Monetary Fund,
|c 2022.
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|a 1 online resource (38 pages)
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|a IMF Staff Country Reports
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|a <strong>Off-Campus Access:</strong> No User ID or Password Required
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|a <strong>On-Campus Access:</strong> No User ID or Password Required
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|a Electronic access restricted to authorized BRAC University faculty, staff and students
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|a 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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|a Mode of access: Internet
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|a International Agreements and Observance
|2 imf
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|a International Organizations
|2 imf
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|a Monetary Policy
|2 imf
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|a Jordan
|2 imf
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|a IMF Staff Country Reports; Country Report
|v ;No. 2022/101
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| 856 |
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|z Full text available on IMF
|u https://elibrary.imf.org/openurl?genre=journal&issn=1934-7685&volume=2022&issue=101
|z IMF e-Library
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