Optimizing foreign exchange reserves: Protection against external shocks in Ghana

Area of Science:

• Economics
• Financial Modeling
• Quantitative Analysis

Background:

• Optimizing reserve holding costs is critical for economic stability.
• Existing models may not accurately predict economic trends for reserve accumulation.
• Developing and emerging countries often face challenges with reserve management.

Purpose of the Study:

• To develop and validate an optimal reserve model (OPREM).
• To compare OPREM's economic trend predictions against alternative models.
• To identify key factors influencing optimal reserve decisions.

Main Methods:

• Least Square Residual Minimization techniques for model development.
• Comparative analysis of OPREM with existing economic trend prediction models.
• Empirical testing and validation of the OPREM model.

Main Results:

• The OPREM model optimizes reserve holding costs effectively.
• Optimal reserve decisions in stable currency environments depend on the gold impact factor.
• OPREM demonstrates superior predictive accuracy for economic trends compared to alternatives.
• The model helps eliminate procyclicality and rush in reserve build-ups.

Conclusions:

• The gold impact factor is crucial for optimizing reserve costs, superseding inflation and interest rates in stable currency environments.
• OPREM effectively addresses reserve management challenges in developing and emerging economies.
• Recommended benchmarks for optimal reserves are provided based on past values and average inflows for different analysis durations.