consumer price index

Forecasting CPI in Malaysia: Comparing linear regression, nonlinear regression, and nonlinear programming methods

This study explores factors influencing the Consumer Price Index (CPI) through an analysis of economic indicators and predictive models.  It begins with normality testing and correlation analysis to identify significant variables, followed by model fitting using Linear Regression Model (LRM), Nonlinear Regression Model (NRM), and Nonlinear Programming (NLP).  The results show strong positive correlations between CPI and variables like the Coincident Index, Labour, and Volume.  Model comparisons indicate that NRM is the most effective predictor of CPI, with slightly lowe

Features of inflation processes and prospects of the inflation targeting framework

In this article the feasibility of continuing the use of inflation targeting as a tool for ensuring economic stability in Ukraine is substantiated. The experience of the Czech Republic in conducting a stable economic policy has been studied and analyzed. It was concluded that, based on the experience of foreign countries, inflation targeting is an important issue for supporting the stable economic development as well as significant prerequisite for reducing the level of inflation in interaction with qualitative changes in the economic, financial, and social spheres.

The Inflation Targeting Regime in Ukraine and Czech Republic: a Comparative Analysis

The main purpose of this article is to determine the impact of the inflation targeting regime on the inflation rates in Ukraine and the Czech Republic, to identify the advantages and disadvantages of its use, to study the evolution and dynamics of inflationary processes in Ukraine and the Czech Republic, as well as the nature and causes of inflation in Ukraine and the Czech Republic.