Saudi Arabia's Inflation Agenda: A Vector Autoregressive Framework

dc.contributor.authorAhmad, Syed Zamberinull
dc.contributor.authorIkhlaas Gurribnull
dc.date.accessioned2022-01-10T05:55:27Znull
dc.date.accessioned2023-08-20T10:57:43Z
dc.date.available2022-01-10T05:55:27Znull
dc.date.available2023-08-20T10:57:43Z
dc.date.issued2010-06null
dc.description.abstractDue to the aftermath of global financial crisis and emerging recovery, the issue of inflation is one to be considered extremely important in the next few years of expansion. Thisstudy carries out multi-step ahead forecasts of major variables like changes in food and beverages, changes in global inflation, changes in US dollar trade weighted index, and changes inhousing availability on inflation by using a Vector Autoregressive (VAR) framework. Findings suggest an improvement in forecasting changes in inflation, and also that limited housing supply remains a major cause of inflation in Saudi Arabia.en_US
dc.identifier.citationGurrib, I., & Ahmad, S. Z. (2010). Saudi Arabia's Inflation Agenda: A Vector Autoregressive Framework. International Journal of Trade, Economics and Finance, 1(1).en_US
dc.identifier.doihttps://ssrn.com/abstract=2345645null
dc.identifier.urihttps://edms.wexl.in/handle/1/2246
dc.language.isoenen_US
dc.publisherSSRNen_US
dc.subjectForecastsen_US
dc.subjectInflationen_US
dc.subjectSaudi Arabiaen_US
dc.subjectVARen_US
dc.titleSaudi Arabia's Inflation Agenda: A Vector Autoregressive Frameworken_US
dc.title.alternativeInternational Journal of Trade, Economics and Financeen_US
dc.typeArticleen_US

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