Abstract
Our goal is to provide econometric tools that could act as an almost real-time warning-system for central banks working under an Inflation-Targeting Regime. In any given month, it computes the probability that inflation will remain within the tolerance bounds set in advance by the Regime. So, our short-term index gives a proper response time for Central Banks, something long-term indices prevalent in the literature do not provide. Although we showcase Brazil in our application, our method could be broadly applied to other countries that operate under an Inflation-Targeting Regime. Our key statistic is the probability that inflation will be within the bounds in the next 1- 3- and 6-months ahead. It is based on predictive densities obtained from a mixed causal-noncausal autoregressive (MAR) model. We polish the accuracy of our key statistic using the receiver operating characteristic curve (ROC curve), something new in this literature.
Original language | English |
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Article number | 103057 |
Journal | Journal of International Money and Finance |
Volume | 143 |
Early online date | 1 May 2024 |
DOIs | |
Publication status | Published - May 2024 |
JEL classifications
- c22 - "Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models"
- c53 - "Forecasting and Prediction Methods; Simulation Methods "
Keywords
- Central-bank credibility
- Forecasting
- Inflation rate
- Noncausal models
- Predictive densities
- Probabilities