Research Article |
Corresponding author: Danil Fliagin ( flyagindanil7@gmail.com ) Corresponding author: Mutiu Abdulganiyu ( mutiuganiyu1031@gmail.com ) Academic editor: Marina Sheresheva
© 2025 Danil Fliagin, Mutiu Abdulganiyu.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Fliagin D, Abdulganiyu M (2025) Impact of intra-BRICS trade on the share of United States dollar in international reserve composition. BRICS Journal of Economics 6(2): 5-20. https://doi.org/10.3897/brics-econ.6.e143810
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The study examines the impact of the BRICS countries’ trade on the composition of their US dollar reserves using dynamic panel data analysis. The research aims to determine if the trade between the BRICS countries promotes currency diversification or reinforces their reliance on the dollar.
The paper adopts a dynamic panel data model using the Mean Group (MG), Pooled Mean Group (PMG), and Dynamic Fixed Effect (DFE) estimators for annual data from 2006 to 2022.
The empirical results reveal a short-term currency diversification away from the dollar, which may be caused by intra-BRICS non-dollar trade agreements. Yet, the analysis gave no conclusive evidence of currency diversification in the long term. The Hausman test points to the PMG estimator as the most efficient, confirming robust model reliability. These findings indicate a complex interaction between trade and reserve dynamics, driven in part by the BRICS efforts to reduce dependency on the dollar as a vehicle currency.
This study is among the first to apply dynamic panel data models to explore the impact of BRICS trade on the member countries’ US dollar reserves. It combines MG, PMG, and DFE estimators to assess the short-term and long-term effects of the trade, thus offering new insights into the dual nature of trade impacts on currency reserves and emphasizing the strategic role of BRICS in the global financial landscape.
BRICS, China, currency diversification, de-dollarization, foreign reserves, intra-BRICS trade, reserve currency, Russia, trade, US dollar.
The US dollar has been the world’s dominant currency for over three quarters of a century thanks to the size and strength of the US economy, its stability, openness to trade and capital flows, strong property rights and the rule of law (
There have been attempts to create economic blocs to diminish the role of the dollar (Bastian et al., 2021). These include the European Union (EU), the Association of Southeast Asian Nations (ASEAN), the African Continental Free Trade Area (AfCFTA), and BRICS (Brazil, Russia, India, China, and South Africa) (Ndwaru, 2022). These blocs aim to enhance economic integration and cooperation among their members, thus reducing their dependence on the dollar and the US-led global order (Ndwaru, 2022). For example, the EU introduced the euro as its common currency; today it accounts for about 20% of the global reserves. The euro is widely used for trade and financial transactions within the EU and with some of its neighbors, such as Switzerland and Turkey. The EU has pursued strategic autonomy and resilience in the face of US sanctions and trade wars, developing its own digital euro project (Ndwaru, 2022). Another reason why most countries seek alternative currencies is the weaponization of the dollar through financial sanctions, like those imposed on Iran and Russia. This raised the question of a new vehicle currency with minimal risk of sanctions.
The BRICS countries, which represent around one-fifth of the world’s economy, influence the global economic dynamics because of their joint economic power. With their large populations, abundant natural resources and rapid economic growth, the BRICS countries massively contribute to the world economic growth and play a role in shaping the global policy. Today, they are expanding the intra-group trade using national currencies to reduce their dependence on the US dollar. These de-dollarization efforts reveal the intention of the BRICS association to overhaul the existing international financial structure and decrease the dominance of the US dollar in the global trade. One of the ways to achieve this goal might be the creation of a new currency.
Russia has abundant reserves of natural resources, especially oil and gas; it is also one of the world-largest energy producers that can support the global energy needs and promote energy cooperation between the BRICS member countries. Russia’s technological and industrial achievements, its potential and expertise in the defense, aerospace, and nuclear technology sectors allow it to assist the other BRICS countries in their development (
These developments present an obvious threat to the dollar’s dominance in the global trade, as they may reduce the demand for and supply of dollar-denominated assets, increase diversification of national currency baskets and intensify the competition between currencies. No other currency, however, can be expected to replace the dollar in the near future because none of the USA’s rivals has the same degree of economic size, stability, openness, and institutional strength. Moreover, the dollar network effects and inertia make it difficult for other currencies to gain widespread acceptance (
Trade among the BRICS countries has grown rapidly over the years, reaching US $422 billion in 2020, a 56% increase from 2017 (Intra-BRICS Trade, 2023). China is the largest trading partner for all the other BRICS countries, accounting for more than half of the intra-BRICS trade. India and South Africa have the highest trade intensity with the BRICS group, while Brazil and Russia have the lowest. The main products traded within the BRICS group are mineral fuels, machinery, electrical equipment, vehicles and iron and steel (
The main objective of this research is to identify factors that determine changes in reserve holdings of the BRICS countries. It will allow us to understand the true role of the USD currency. The paper’s contributions to the extant body of knowledge are as follows: first, by identifying the factors influencing reserve holdings in the BRICS countries, the study addresses the gap in the literature on how emerging economies manage their reserves amid shifting global financial landscapes; this may help optimize reserve portfolios and enhance economic stability. Secondly, it provides empirical evidence on the impacts of de-dollarization initiatives within BRICS. By examining the intra-group trade in national currencies, it offers insights into the practicalities of reducing dollar dependence. Highlighting the role of economic blocs in the attempts to challenge the dollar’s dominance, it adds to the literature on how regional cooperation can influence financial structures and the use of the global currency.
Research into the global distribution of reserve currency has established the factors that determine this distribution. These include the currency’s global influence, economic size of the country, its involvement in international trade and finance, and potential “network effects” (Li & Liu, 2008;
Inertia and credibility also play a role.
Our review indicates that there is a gap in the literature on factors that determine global reserve currency shares, especially in the BRICS countries; the impact of economic size, network effects, and policy decisions on currency internationalization are also underexplored. Historical shifts from one dominant currency to another and theoretical underpinnings of reserve diversification together with its implications for financial stability also require careful consideration.
This study is anchored on the Portfolio diversification theory stemming from modern portfolio theory, introduced by Harry Markowitz in 1952. Its fundamental premise is that investors, in this case central banks, can optimize their portfolios by diversifying their holdings to maximize returns for a given level of risk (
The BRICS countries’ economies are growing and so is their contribution to the global GDP, which results in greater economic power. Increased trade among BRICS nations leads to accumulating reserves in each other’s currencies that may not move in tandem with the US dollar, providing diversification benefits, higher yields or growth prospects in emerging markets. Also, this can reduce overexposure to the dollar and mitigate potential losses from dollar depreciation. Hence the central banks’ policy of holding a portion of reserves in the BRICS currencies and gradual decline of the dollar holdings.
The study uses a panel model analysis with annual data from the BRICS countries spanning the years from 2006 to 2022. The choice of the period was determined by the availability of balanced data essential for robust analysis. To examine the short- and long-term relationships between reserve composition and trade, we employed the panel autoregressive distributed lag (ARDL) model, which was preferred to fixed effects or random effects models for several reasons. Firstly, the panel ARDL is inherently dynamic, effectively capturing both short-term fluctuations and long-term equilibrium relationships without losing essential long-run information. Secondly, it allows for individual heterogeneity in slope parameters, acknowledging that each of the BRICS countries may exhibit unique characteristics influencing the variables. Lastly, the model accommodates variables that are stationary at different levels of integration (i.e., I(0) or I(1)), eliminating the need for uniform stationarity among variables. The analysis was carried out using dynamic estimators, specifically the Mean Group (MG), Pooled Mean Group (PMG), and Dynamic Fixed Effects (DFE) estimators. The baseline model is specified as follows:
(1)
where ∆ denotes the first difference operator, Yit is the dependent variable for country i at time t, Xit αi, is the country-specific fixed effect, β1ip and β2ip are the short-run coefficients. θi is the error correction term, indicating the speed at which variables return to equilibrium after a shock, πi represents the long-run relationship between the variables, εit is the error term. The functional equation is given as:
resit = β0 + β1tradeit + β2exchit + β3GDPit + εit… (2)
where resit is the reserve held in dollars, tradeit is the trade volume; exchit is exchange rate; and GDPit is the gross domestic product. Trade volume is added as a key determinant of reserve holdings because it reflects the level of international trade activities. A higher trade volume typically requires larger reserves to manage trade-related transactions, mitigate risks associated with trade imbalances, and ensure smooth international payments. This is especially important for the BRICS countries, as they often engage in large-scale international trade. Exchange rate also impacts reserve holdings as it affects the value of the domestic currency compared to foreign currencies. For instance, a volatile or depreciating exchange rate may prompt a country to hold more reserves to stabilize the currency, intervene in the foreign exchange market and maintain investor confidence. The BRICS countries that value exchange rate stability use their foreign currency reserves to protect the economy from adverse currency movements, which makes it an essential factor in reserve holding. Lastly, GDP that measures an economy’s total output is an indicator of its size and performance. A higher GDP suggests a larger and more robust economy, which may necessitate more reserves to support economic activity, manage external shocks, and maintain financial stability. That is why countries with larger economies often hold more reserves to use them as buffers against potential economic shocks and ensure they can meet international obligations.
Detailes on trade, exchange rate, reserves holding in dollar, and GDP are presented in Table
Variables | Definition | Description | Source |
Trade | Trade (% of GDP) | Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product. | World Bank, World Development Indicator |
Reserves | Total reserves minus gold (current US$) | Total reserves minus gold comprise special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. | |
GDP | GDP (constant 2015 US$) | GDP at purchaser’s prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. | |
Exchange rate | Official exchange rate (LCU per US$, period average) | The official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. |
Table
Variable | Mean | Std. Dev. | Min | Max | |
trade | overall | 44.43612 | 11.74491 | 22.10598 | 68.09391 |
between | 10.52724 | 27.32552 | 53.90615 | ||
within | 6.96469 | 27.55517 | 62.71087 | ||
exch | overall | 23.69067 | 23.4592 | 1.672829 | 78.60449 |
between | 23.79231 | 2.90033 | 55.76807 | ||
within | 9.66966 | 6.169927 | 54.9714 | ||
lgdp | overall | 28.02143 | 1.077681 | 26.12456 | 30.42373 |
between | 1.138418 | 26.4438 | 29.64764 | ||
within | .3398614 | 27.0237 | 28.79752 | ||
reserve | overall | 6.28e+11 | 1.01e+12 | 5.90e+09 | 3.86e+12 |
between | 9.21e+11 | 3.32e+10 | 2.26e+12 | ||
within | 5.82e+11 | -1.47e+12 | 2.22e+12 |
Our correlation analysis revealed no evidence of multicollinearity among the independent variables. Multicollinearity refers to a situation in regression analysis where independent variables are highly correlated with each other, leading to unreliable coefficient estimates. It can inflate standard errors, making it difficult to determine the individual effect of each independent variable on the dependent variable. (See Table
Trade | Exch | lgdp | Reserve | |
Trade | 1.0000 | |||
Exch | 0.1894 | 1.0000 | ||
lgdp | -0.2603 | -0.0176 | 1.0000 | |
Reserve | -0.0486 | -0.2228 | 0.8088 | 1.0000 |
The cross-sectional dependence test showed that all variables, except trade, exhibited cross-sectional dependence (see Table
Variable | CD-test | value | corr | abs(corr) |
Reserve | 13.37 | 0.000 | 0.882 | 0.882 |
Trade | -0.65 | 0.514 | -0.043 | 0.332 |
Exch | 0.61 | 0.000 | 0.370 | 0.727 |
lgdp | 14.60 | 0.000 | 0.963 | 0.963 |
Variable | IPS | Comment | |
Level | First diff | ||
reserve | 2.0744*** | Stationary at level | |
lgdp | -4.5357*** | Stationary at level | |
trade | -1.0087 | -2.9419*** | Stationary at the first difference |
exch | 1.2007 | -4.0738*** | Stationary at the first difference |
The unit root test evaluates whether variables in a dataset are stationary, i.e. their statistical properties such as mean and variance are constant over time, or non-stationary. Stationarity is crucial for ensuring valid regression analysis and avoiding spurious results.
The table shows the results of the Im, Pesaran, and Shin (IPS) test for stationarity, conducted at the variable’s level and first difference. The significance is denoted by ***, typically indicating a 1% significance level. Reserve: At the level, the IPS statistic is 2.0744, significant at the 1% level (***). Log GDP (lgdp): At the level, the IPS statistic is -4.5357, significant at the 1% level (***). Trade: At the level, the IPS statistic is -1.0087, not significant. At the first difference, the IPS statistic is -2.9419, significant at the 1% level (***). Exchange Rate (exch): At the level, the IPS statistic is 1.2007, not significant. At the first difference, the IPS statistic is -4.0738, significant at the 1% level (***).
The slope homogeneity test reveals homogenous slope according to the p.values (see Table
We employed the panel ARDL model with the mean group, pooled-mean group, and dynamic fixed effect estimators (see Table
VARIABLES | Mg (longrun) | Mg (shortrun) | Pmg (longrun) | Pmg (shortrun) | Dfe (longrun) | Dfe (shortrun) |
Erorcorrection | -0.205 | -0.0944*** | -0.0924*** | |||
(0.147) | (0.0309) | (0.0284) | ||||
D.Exch | -0.0227 | -0.0115 | -0.00885* | |||
(0.0369) | (0.0388) | (0.00497) | ||||
D.Trade | -0.00502 | -0.0155** | -0.00496 | |||
(0.00516) | (0.00633) | (0.00343) | ||||
D.lgdp | 0.701 | 1.764* | 1.422** | |||
(1.020) | (1.009) | (0.557) | ||||
Exch | -0.723 | 0.0316 | 0.000523 | |||
(0.756) | (0.0217) | (0.0170) | ||||
Trade | -0.0417 | 0.0370** | -0.00319 | |||
(0.0275) | (0.0167) | (0.0253) | ||||
lgdp | 4.402** | -0.109 | -0.427 | |||
(1.918) | (0.818) | (0.967) | ||||
Constant | -19.07 | 2.608*** | 3.590** | |||
(21.52) | (0.844) | (1.698) | ||||
Observations | 110 | 110 | 110 | 110 | . | . |
MG vs PMG | Decision | |
Chi-square | 3.98 | PMG is better |
P.value | 0.26 | |
PMG vs DFE | ||
Chi-square | 0.02 | PMG is better |
P.value | 0.999 |
The discovered negative short-term relationship exists probably because the BRICS countries rely less on the US dollar as they engage more in trade, particularly intra-BRICS trade. This reflects the efforts of the BRICS countries to de-dollarize their activities and use local currencies in trade to reduce dependency on the US dollar. For instance, China and Russia have entered into bilateral agreements to engage in trade using their own currencies. The BRICS Contingent Reserve Arrangement (CRA) also serves as a framework for providing liquidity and protection against global liquidity pressures without relying on the US dollar. In the long term, however, increased trade leads to a need for more dollar reserves, possibly because global trade outside BRICS relies on the US dollar. Despite all de-dollarization efforts, the USA’s currency still dominates international trade, and countries have to accumulate US dollars. Thus, India’s expanding trade with the US and European countries requires dollar reserves for transactions and as a buffer against currency volatility. South Africa’s trade in commodities like gold and platinum often involves dollar-denominated contracts.
Economic growth boosts confidence and generates surplus funds, allowing countries to accumulate reserves. In the short term, policies that stimulate GDP growth can enhance a country’s financial stability through increased reserves. Over the long term, as economies develop and diversify, there might be less emphasis on holding large dollar reserves. Developed economies may prefer to invest reserves into assets that yield higher returns or diversify into other currencies and commodities. Hence, a shift towards investing in infrastructure projects under the Belt and Road Initiative (BRI), rather than solely accumulating reserves. Although exchange rates are important for trade competitiveness, they do not appear to have any significant influence on reserve accumulation.
The study analyses the impact of the BRICS countries’ trade on the share of the US dollar in their reserve composition. The influence of trade volume, exchange rates, and GDP on reserve holdings in BRICS countries is assessed using dynamic panel data estimators: mean group (MG), pooled mean group (PMG), and dynamic fixed effects (DFE). It has been found that, on average, the reserve holding across BRICS countries is 23.7%, while the trade-to-GDP ratio averages 44.4%. Variability within and between countries is caused by diverse economic conditions. There is no significant multicollinearity among variables, implying reliable regression estimates. GDP and reserves are stationary at levels, while trade and exchange rates are stationary at first difference. All the variables, except trade, show cross-sectional dependence, indicating interconnected economies. Trade has a statistically significant negative effect on reserves, suggesting that increased trade initially reduces dollar reserves, possibly due to currency swaps or trade agreements. Trade may show a positive and statistically significant effect, as persistent trade relationships eventually boost reserves. GDP has a positive impact in the short term but insignificant negative long-term effect. The error correction term suggests that short-term imbalances are corrected at a 9.4% rate in each period. The Hausman test results confirm PMG as the preferred model. These findings suggest that in the short term, the BRICS countries may reduce reserves owing to intra-trade dynamics, but long-term trade positively impacts reserves as economies adjust and accumulate assets.
The study provides insights into the impact of trade, GDP and exchange rates on the BRICS countries’ dollar reserves, using dynamic panel data analysis. While increased trade initially reduces dollar reserves, due to currency swaps or trade agreements, it positively impacts reserve accumulation in the long term. This suggests that intra-BRICS trade bypassing the US dollar can enhance reserves as trade relationships mature. Short-term fluctuations point to GDP as a key driver of reserve growth, while exchange rate impacts are minimal and statistically insignificant. The PMG estimator, found to be the most efficient through the Hausman test, reveals a 9.4% adjustment rate, indicating that short-term imbalances gradually adjust over time. The findings underscore the strategic role of sustained trade relations and economic integration among the BRICS nations, as well as the potential benefits of reducing reliance on the US dollar for reserve stability.
The study suggests that increased intra-BRICS trade may reduce reliance on the US dollar for transactions, especially in the short term. First, bilateral agreements and trade in local currencies can help diversify reserve compositions and decrease dependence on the dollar. Next, currency swaps among the countries can further reduce reliance on the US dollar as they facilitate transactions in local currencies, which can stabilize the dollar share in reserves by reducing the need for dollar liquidity in trade. Third, the strengthening of the long-term trade partnerships will certainly be most beneficial. In the long term, trade has shown a positive impact on reserve accumulation. The BRICS countries’ stable trade partnerships are expected to support reserve growth, expand the use of regional currencies or trade-weighted baskets to further diversify their reserves. To achieve these goals, it may be necessary to implement strategies that mitigate exchange rate volatility in trade transactions. Exchange rate stability should help maintain a balanced reserve composition without having to increase the dollar-based assets. Finally, enhanced economic integration mechanisms within BRICS should be most beneficial: deeper economic integration could promote currency harmonization through regional currency arrangements serving as an alternative to the dollar in the trade among the BRICS countries. This strategy will further reduce the share of the US dollar in their reserves and ensure intra-BRICS economic stability.