A Novel Quarterly Macroeconomic Forecasting Framework

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Authors: Tibor Hlédik, Rilind Kabashi, Maria Arakelyan, Belma Colakovic, Elma Hasanović
Cited by: 0

Abstract

This paper describes the Quarterly Macro Forecasting Framework (QMFF), which is a novel approach to macroeconomic policy analysis and forecasting. At the core of this framework is a Quarterly Projection Model, with main behavioral equations quantified as deviations of real variables from their trends. The model comprises a simultaneous system of calibrated equations that cover the main sectors of the Financial Programming and Policies framework, as well as key accounting restrictions within and across sectors. By explicitly accounting for trends observed in real variables and relative prices, the framework ensures a balanced growth path and constant expenditure shares relative to nominal GDP. The QMFF is sufficiently flexible to be adapted to different monetary frameworks and exchange rate regimes. After describing the framework, the paper illustrates its implementation for policy analysis and forecasting on the case of Bosnia and Herzegovina. The empirical work with the model includes not only calibration but also testing the model’s dynamic and in-sample simulation properties.

Fields of Study & Subjects

Monetary Policy and Economic Impact Forecasting Techniques and Applications Economic Theory and Policy

Publication details

Journal / source
IMF Working Paper
Volume
2026
Issue
036
Pages
1–1
Publication date
1 February 2026
Language
EN