Exploring the use of a common currency and/or payment mechanism amongst BRICS countries Jaya Josie, Head, BRICS Research Centre, HSRC , Ronney Ncwadi, Head , Department of Economics, NMMU & Babalwa Siswana, Researcher, BRICS Research Centre, HSRC
Structure Introduction & Background Single Currency Theoretical Arguments Intra-BRICS trade Rationale for Single Currency/Payment Mechanism in BRICS economies Economic performance trends in BRICS economies Data analysis and procedures Vector Auto-Regression Analysis Conclusion
Introduction • Paper draws on joint study “Pre -conditions and Possibilities for using National BRICS Currencies in International Settlements “ led by the RISS • Current Debates: Does Brazil, Russia & SA’s (BRS) slow economic recovery from the GFC presage the imminent demise of BRICS? • International trade, investment & finance trends in BRS & BRICS severely affected by exchange rate volatility • BRICS countries represents two thirds of the share of developing world economy This share increased from 8% in 2002 to 22.2% in 2015 • To to mitigate GFC effects BRICS countries established NDB Launched in 2014 Initial fund of US$100 billion • NDB set up by BRICS plans to provide lending to technology innovation projects • In 2016, NDB approved $1.5 billion loans to BRICS member states • Considering BRICS Rating Agency
Background • Joint study examines in general common BRICS payment mechanisms to reduce dependence on US $ and Forex. • This paper focuses on theory of using a common currency for BRICS • Example: the Euro in the European Union (January 1999) • Other common mechanisms include Bilateral or multilateral Swap Arrangement for trade & investment Use of the BRICS Contingency Reserve Agreement (CRA) as Special Drawing Rights (SDR) to cushion against external shocks Pegging BRICS currencies to a gold standard Use of one BRICS international reserve currency (e.g. RMB) for payments • Among BRICS countries, Chinese Renminbi (Yuan) has attained international reserve currency status • A Multilateral approach ensures investment toward full employment (Kalecki, 1946) as interconnected economies reduce disputes through negotiation • Aim: to test if convergence of BRICS currencies towards a single currency is a necessary condition for greater multilateral economic integration among BRICS
International Reserve Currencies in Transactions • Trade relations & trade rivalries are dominated and determined by Dollar, Euro, Pound sterling & Yen among developing and emerging countries Figure 1: IMF weight of Renminbi among SDR reserves currencies • Trade & Investment in BRICS is in the forefront in boosting economic growth and sustainable development
Rationale for Single Currency/Payment Mechanism in BRICS economies • International finance is failing to keep pace with dynamic changes in the developing countries • Explore possible common currency/payment systems in & among BRICS countries (e.g. financial cooperation between China & Russia) becaue it; Increases price transparency as prices in different currencies can be difficult to compare Increases inward investment
Current State of Trade & Investment in BRICS • Greater emphasis on trade in goods than on services • China is dominant in industrial production • Russia & SA mainly mineral resources & oil • SA & India developed financial service sector that can play role in the group • Currently level of multilateral trade limited • Degree of bilateral integration measured using trade- combined index for SA & China shows trade balance in favour of China
Measuring Degree of Bilateral Trade Integration Using Trade Combined Index (TCI) • TCI adapted from Gang Jianhua et al. 2016 • TCI measures the degree of bilateral trade integration, for South Africa & China defined as I SAC = (X SAC / X SA )/(M C /M W )………………………………..………(1) Where: X SAC =Exports from South Africa to China X SA =South Africa’s total export M C =Total import of China M W =Total import of the whole world • If ( X SAC ) is greater than 1, that is, the two trading countries are more intensively integrated (or combined) than the world average. • Greater TCI means the more intensive the trading relationship
Degree of integration, TCI for Trade between South Africa and China Figure 2 (a): The trade combined index of I SAC and I CSA Figure 2 (b): The trade combined index of I SAI and I ISA (US$) (US$) 0.0035 3.50 0.003 Trade 3.00 Combined 0.0025 Trade Index ISAC 2.50 Combined 0.002 Index ISAI % 2.00 % Trade Combined 1.50 0.0015 Index ICSA Trade 1.00 Combined 0.001 Index IISA 0.50 0.0005 0.00 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Year Year • I SAI from 2006 until 2015 was greater • Both I SAC and I CSA are less than 1, with the I SAC much greater than I CSA from than 1 percent through the period 2009 until 2015 while I ISA was less than 1 percent since 2006 until 2015 • The result shows that South Africa’s dependence on China’s market is greater than China’s dependence on South Africa’s market .
Single Currency Theoretical Arguments • Single currency based on price and wage symmetry within group (Mundell, 1961) • High degree of economic openness between nations in an optimal currency area (Mckinnon, 1963) • Mkenda (2001) used General Purchasing Power Parity (PPP) method in East Africa to test: Cointegration between Real Exchange Rate (RER) Long-run relationship between RER • Countries that trade together are more likely to have business cycles that are highly correlated (Frankel & Rose, 1997) • Several studies on trade impacts of currency unions produced mixed results [Souza (2002); Bun et al., (2002); Nardis & Vicarelli (2003); Baldwin et al., (2005); Flam and Nordström (2003) & Faruqee (2004)]
Intra-BRICS trade • China was the leading trade partner for BRICS countries • South Africa's share was the smallest in each of BRICS markets
Economic performance trends in BRICS countries Figure 2: Exchange rate in BRICS countries Figure 3: GDP growth rates in BRICS countries • Currencies have been weakening . against the US dollar during the period
Data analysis and procedures • Used time series data analysis in a multi-variate context from 2002-2012 • Data was collected from various sources • The study made use of VAR • Augmented Dickey-Fuller, Phillips-Perron test and Kwiatkowski, Phillips, Schmidt and Shin • Previous studies employed cross sectional & panel data framework (Quinn 1997, Kraay 1998, Rodrik 1998; Klein and Olivei 1999, Edwards 2001, Reisen and Soto, 2001, Edison et al, 2002, Klein 2003)
Vector Auto-Regression Analysis • Cointegration tests were done using PPP US$ conversions • PPP is an economic theory that compares different countries' currencies through a common "basket of goods" approach.
Cointegration Results • Trace test results shows at least 3 cointegration equations in VAR model • Eigenvalues provides cointegration in BRICS currencies in a long run
Cointegration Results • SA currency has been losing PPP compared to other BRCS countries
Correlation, Normality & Residual Stationarity Tests • P-value at lag 2 is 39% • larger than the critical p-value at 5% level • Figure 5 shows that residuals are mean • we fail to reject the null reverting
Proof for the Vector Auto-regression (VAR) Model • Below figure shows the proof that VAR model is stable • All dots fall within a circle
Concluding Remarks • To be a member of a BRICS single currency many constraining factors will have to be aligned for optimal benefits. • Initially maybe difficult to ensure successful operations with a BRICS single market for goods, services, capital & labour. • Accession to a single currency is a process of financial integration that should be a long-term goal. • Adopting the BRICS single currency demands extensive preparations Economic and legal convergence. Design economic criteria Use the exchange rates instead of PPP in order to compare the results Check the volatility of each of the BRICS countries’ currencies Check systemic risks inherent in the currencies. • Rather consider other common payment mechanisms in the short to medium term
Thank you Contact details: jjosie@hsrc.ac.za Ronney.Ncwadi@nmmu.ac.za bsiswana@hsrc.ac.za
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