Part 1: Introduction to the Composite Index for African Currency Valuation – Part 1: Introduction to the Composite Index for African Currency Valuation – Tekedia Forum

Overview

Africa’s economic landscape, with its 54 diverse nations, presents unique challenges when considering a unified currency system. The disparities in development across various sectors necessitate a thoughtful approach. The introduction of a Composite Index for currency valuation is a groundbreaking solution aimed at addressing these challenges. This index, which reflects the socio-economic and governance performance of each African country, is key to a new currency valuation system that promotes integration, stability, and sustainable development across the continent.

 

In this article, the first in a four-part series, I will detail the mathematical model behind the Composite Index. Understanding how this index is constructed and weighted will help policymakers and stakeholders recognize its potential impact on African economies.

 

Composite Index Creation

The Composite Index is a comprehensive measure derived from 14 key factors, each capturing different dimensions of a country’s development. The factors, along with their assigned abbreviations, are as follows:

– Economic Factors:

– GDP per capita (GDP)

– Economic Diversity Index (EDI)

– Innovation Index (INV)

 

– Social Factors:

– Human Development Index (HDI)

– Education Index (EDU)

– Healthcare Access and Quality Index (HAQ)

 

– Governance Factors:

– Rule of Law Index (RLI)

– Political Stability Index (PSI)

– Corruption Perception Index (CPI)

 

– Infrastructure Factors:

– Energy Consumption per Capita (ECP)

– Infrastructure Quality Index (IQI)

– Digital Adoption Index (DAI)

 

– Environmental and Financial Factors:

– Environmental Performance Index (EPI)

– Financial Inclusion Index (FII)

 

These factors are weighted to reflect their relative importance in the overall development of a country.

 

Mathematical Model for Calculating the Composite Index

The Composite Index is calculated using the following steps:

1. Factor Weighting: Each factor is assigned a specific weight:

– Economic Factors (30%): GDP, EDI, INV

– Social Factors (25%): HDI, EDU, HAQ

– Governance Factors (20%): RLI, PSI, CPI

– Infrastructure Factors (15%): ECP, IQI, DAI

– Environmental and Financial Factors (10%): EPI, FII

 

2. Normalization of Scores:Raw scores for each factor are normalized using the min-max normalization method:

S_ij = X_ij – X_min

X_max – X_min

Where:

• S_ij is the normalized score for country i on factor j,
• X_ij is the raw score of country i on factor j,
• X_min and X_max are the minimum and maximum scores observed across all countries for that factor.

 

3. Weighted Summation:The normalized scores are then weighted and summed to obtain the composite score (C):

14

C_i = Σ W_j × S_ij

j =1

Where:

• C_i is the composite score for country i,
• W_j is the weight assigned to factor j,
• S_ij is the normalized score for factor j for country i.

 

Hypothetical Example: Zambia and Eritrea

To illustrate, let’s consider two hypothetical countries: Zambia and Eritrea, with the following normalized scores:

Zambia:

– GDP: 0.70

– EDI: 0.60

– INV: 0.65

– HDI: 0.75

– EDU: 0.70

– HAQ: 0.60

– RLI: 0.50

– PSI: 0.55

– CPI: 0.60

– ECP: 0.65

– IQI: 0.60

– DAI: 0.70

– EPI: 0.55

– FII: 0.65

Eritrea:

– GDP: 0.45

– EDI: 0.40

– INV: 0.35

– HDI: 0.50

– EDU: 0.55

– HAQ: 0.45

– RLI: 0.35

– PSI: 0.40

– CPI: 0.45

– ECP: 0.50

– IQI: 0.45

– DAI: 0.40

– EPI: 0.50

– FII: 0.40

Using the weighting system, the composite scores for Zambia and Eritrea are calculated as follows:

Zambia’s Composite Score:

C_Zambia ​= (0.70×0.10)+(0.60×0.16)+..+(0.65×0.03)=0.635

 

Eritrea’s Composite Score:

C_Eritrea ​= (0.45×0.10)+(0.40×6.10)+…+(0.40×0.03)=0.455

 

Currency Valuation and Exchange Rate

These composite scores directly determine the valuation of Zambia’s and Eritrea’s currencies relative to the proposed continental digital currency (CDC). Assuming the CDC is valued at 100 units:

• Zambia’s currency (ZMK) share: C_Zambia ​= 63.5CDC units
• Eritrea’s currency (ERN) share: C_Eritrea =45.5CDC units

 

To find the exchange rate between the Zambian Kwacha (ZMK) and the Eritrean Nakfa (ERN), we calculate:

Exchange Rate (ZMK/ERN) = 63.5 / 45.5 = 1.40

 

This implies that 1 ZMK would be equivalent to approximately 1.40 ERN.

 

Conversely:

Exchange Rate (ERN/ZMK) = 45.5 / 63.5 = 0.71

 

Conclusion

In this first installment, we’ve explored the foundational elements of the Composite Index and its role in determining currency values. The example provided for Zambia and Eritrea demonstrates how the index operates, though it is essential to note that these normalized scores are purely illustrative and hypothetical.

 

Next week, we will discuss how this index can be operationalized and integrated into a continent-wide digital currency system, offering practical insights into its implementation. Stay tuned for part two of our series.