Logo
Munich Personal RePEc Archive

Understanding inflation patterns in Thailand: An ARMA approach

NYONI, THABANI (2019): Understanding inflation patterns in Thailand: An ARMA approach.

[img] PDF
MPRA_paper_92451.pdf

Download (203kB)

Abstract

This research uses annual time series data on inflation rates in Thailand from 1960 to 2017, to model and forecast inflation using ARMA models. Diagnostic tests indicate that T is I(0). The study presents the ARMA (0, 0, 1) model, which is nothing but an MA (1) process. The diagnostic tests further imply that the presented optimal ARMA (0, 0, 1) model is stable and acceptable. The results of the study apparently show that T will be approximately 4.2% by 2020. Policy makers and the business community in Thailand 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.