Title of article
A Note on Early Warning Systems for Monitoring the In ation of Iran
Author/Authors
Daadmehr, Elham Department of Statistics - Central Bank of Iran , Habibi, Reza Iran Banking Institute - Central Bank of Iran
Pages
13
From page
183
To page
195
Abstract
To check the nancial stability, it is important to alarm
the possibility of future potential nancial crisis. In
the literature, the early warning system (EWS) is de-
signed to warn the occurrence of a nancial crisis before
it happens. This tool gives strengthens to managers to
make ecient policy in real economic activities. Hy-
perin
ation, as a nancial crisis, is an uncommon bad
phenomenon in every economy. It quickly erodes the
real value of the local currency, as the prices of all goods
increase. This causes people to minimize their holdings
in that currency as they usually switch to more stable
foreign currencies, often the US Dollar. Hence, design-
ing a EWS for detecting hyperin
ation is valuable task.
In the current paper, Iran monthly in
ation is modeled
by a rst.
Keywords
Economic crisis , EWS , MS model , Logistic regres- sion
Journal title
Journal of Algorithms and Computation
Serial Year
2020
Record number
2505255
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