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  • 标题:Analyzing inflation in Nigeria: a fractionally integrated ARFIMA-GARCH modelling approach
  • 本地全文:下载
  • 作者:Paul Terhemba Iorember ; Terzungwe Usar ; Kabiru Hannafi Ibrahim
  • 期刊名称:African Journal of Economic Review
  • 印刷版ISSN:1821-8148
  • 出版年度:2018
  • 卷号:6
  • 期号:1
  • 页码:33-46
  • 语种:English
  • 出版社:African journals online
  • 摘要:The study looked into the stochastic properties of CPI-inflation rate for Nigeria from 1995Q1 to 2016Q4. The study employed an autoregressive fractionally integrated moving average and a general autoregressive conditional heteroskedasticity (ARFIMA-GARCH) methodology as well as ADF/KPSS to investigate the long-memory properties of CPI-Inflation for Nigeria. The study found that CPI-inflation in Nigeria is shock dissipating at a geometric rate (fast mean reverting ability). The ARFIMA-GARCH process showed that CPI inflation in Nigeria is a heteroskedastic fractionally integrated process with quick mean reverting ability. The study therefore concludes that shocks to CPI-inflation in Nigeria such as sudden hikes in prices of energy products will not cause a permanent change in general price level but will eventually return to its mean state, and therefore having an implication for the Inflation-Unemployment tradeoff of the Philips curve.
  • 关键词:Inflation;AFIMA;GARCH;Fractional Integrated and Long Memory;ADF and KPSS
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