Modelling Inflation Rates Volatility in Alegria Using ARCH Models.

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Siham BOUDAB
SAMI BEN DJEDDOU

Abstract

This paper aims to modeling the inflation rates in Algeria using the ARCH model during the period January 2000 to December 2018. The results show that the GARCH (1.1) model is the best in modeling and forecasting Algerian’s monthly rates of inflation.

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How to Cite
BOUDAB, S., & BEN DJEDDOU, S. (2020). Modelling Inflation Rates Volatility in Alegria Using ARCH Models. Finance and Business Economies Review, 4(2), 219–200. https://doi.org/10.58205/fber.v4i3.1411
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Articles

References

- Johnson Okeyo, Mwaniki Ivivi and Philip Ngare, 2016, Modelling Inflation Rate Volatility in Kenya Using ARCH Type Model Family, Research Journal of Finance and Accounting, Vol 7, No 23, PP (10- 17).

- Mbeah-Baiden Benedict, 2013, Modelling Rates of Inflation In Ghana: An Application of Autoregressive Conditional Heteroscedastic (ARCH) Type Models, Thesis submitted to the school of graduate studies, University og Ghana, Legon in partial fulfillment of the requirement for the Mphil statistics degree, PP (1- 164).

هت ت سميت، 0224 ، د ا رسة اقتصادية وقياسية لظاىرة التضخم في الج ا زئر، لالكرة لا ستير، كمين الاقوق والمموم -

- - .)141 الاقتإ تين، قسم المموم الاقتإ تين، لامن ق إتي لارب ح ورقمن، ص ص ) 0

- Regis Bourbonnais, 2003, Econometrie, 5éme édition, Dunod, Paris.

- Domodar N. Gujarati, 2004, Econométrie, De Boeck, Bruxelles.

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