Monetary Policy Implementation Tools
Apply online by August 4, 2024
Session No.: CE 24.22
Location: Kuwait City, Kuwait
Date: October 20-24, 2024 (1 week)
Delivery Method: In-person Training
Primary Language: English
Interpretation Language: Arabic
Apply NowTarget Audience
Mid-level to senior central bank officials interested in market operations and monetary policy strategy.
Qualifications
Participants with experience in central bank operations, financial markets, and basic knowledge of quantitative methods.
Course Description
The course presents:
- How to use advanced forecasting techniques to estimate autonomous factors of the central bank balance sheet. The objective is to improve the calibration of the monetary policy liquidity operations, rightsizing the reserve requirement, and/or publishing liquidity information for the market. The course will incorporate recent advances in forecasting literature and international best practices, back-test different forecasting models with various degrees of complexity and provide guidance to implement the most suitable model. The faculty will deliver the software infrastructure (open source) so that the authorities can easily apply the model to their day-to-day work.
- How to estimate and implement foreign exchange intervention rules based on a risk approach. The course covers techniques suitable for: i) central banks operating a flexible exchange rate arrangement, intervening on the foreign exchange market with financial and price stability objectives; ii) central banks transitioning from a fixed exchange rate arrangement to a floating exchange rate arrangement. The course covers the theoretical background for risk-based FX interventions, as explained in the IMF Working Paper No. 21/32 (Lafarguette and Veyrune 2021).
Course Objectives
Upon completion of the course, participants should be able to:
- Use the advanced models for domestic liquidity forecasting in their day-to-day work.
- Implement an FX risk model that can be used for intervening on the FX markets via a risk-optimal approach.
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