Logo
Munich Personal RePEc Archive

Predicting inflation in Sri Lanka using ARMA models

NYONI, THABANI (2019): Predicting inflation in Sri Lanka using ARMA models.

[img] PDF
MPRA_paper_92432.pdf

Download (210kB)

Abstract

This research uses annual time series data on inflation rates in Sri Lanka from 1960 to 2017, to model and forecast inflation using ARMA models. Diagnostic tests indicate that S is I(0). The study presents the ARMA model (1, 0, 0) [or simply AR (1) process] for forecasting inflation rates in Sri Lanka. The diagnostic tests further imply that the presented optimal ARMA (1, 0, 0) model is not only stable but also suitable. The results of the study apparently show that S will be approximately 8.17% by 2020. Policy makers and the business community in Sri Lanka are expected to take advantage of the anticipated stable inflation rates over the next decade.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.