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...

Täydet tiedot

Bibliografiset tiedot
Yhteisötekijä: International Monetary Fund. Monetary and Capital Markets Department
Aineistotyyppi: Aikakauslehti
Kieli:English
Julkaistu: Washington, D.C. : International Monetary Fund, 2022.
Sarja:IMF Staff Country Reports; Country Report ;No. 2022/101
Aiheet:
Linkit:Full text available on IMF
Kuvaus
Yhteenveto: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.
Huomautukset:<strong>Off-Campus Access:</strong> No User ID or Password Required
<strong>On-Campus Access:</strong> No User ID or Password Required
Ulkoasu:1 online resource (38 pages)
Aineistotyyppi:Mode of access: Internet
ISSN:1934-7685
Pääsy:Electronic access restricted to authorized BRAC University faculty, staff and students