Document Type : Original Article
Authors
1
Ph.D. in Financial Engineering, Yazd Universtity, Yazd, Iran
2
Ph.D. Candidate in Accounting, University of Tehran, Tehran, Iran
3
Assistant Prof, Department of Management, Kashan University, Kashan , Iran
10.48308/jem.2024.232380.1848
Abstract
The relation between inflation and inflation uncertainty is one of the most important empirical relationships in macroeconomics. Some views suggest that the rise in inflation creates real costs through the impact on inflation uncertainty. Another point of view considers the increase in inflationary uncertainty as a priority to the increase in inflation. Becoming the causal direction of this relationship will determine the optimal strategy of central banks in the implementation of monetary policies. In this paper, first, using the MS model with three regimes, future inflation forecast errors are calculated, and then, using the BIP-GARCH method, the conditional variance of inflation is extracted as a proxy of inflation uncertainty. Finally, by using Granger causality test, various hypotheses on the relationship between inflation and inflation uncertainty are investigated, and with the nonparametric regression method, this relationship is inflated in different intervals. The findings indicate that inflation uncertainty increases during periods of political turmoil and is strongly influenced by currency fluctuations. The refinement of outlier forecast errors caused by large and temporary shocks will be the choice of the IGARCH(1,1) model, which means that the effect of shocks is unlimited for inflation uncertainty over time. Also, the non-parametric estimation between inflation and inflation uncertainty shows the dependence of this relationship in which it is placed. In addition, the results show that inflation uncertainty affects future inflation in a non-linear way. As a result, the central bank can control the inflation rate by reducing the uncertainty of monetary policy by correcting inflationary expectations.
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