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Modelling the BRICS Exchange Rates Using the Vector Autoregressive (VAR) Model

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  • Lebotsa Daniel Metsileng
  • Ntebogang Dinah Moroke
  • Johannes Tshepiso Tsoku

Abstract

The paper modelled the BRICS exchange rates using the Vector Autoregressive (VAR) model. Monthly time series data ranging from January 2008 to January 2018 was used. All the analysis was computed using the R programming software. The study aimed to determine a suitable VAR model in modelling the BRICS exchange rates and determine the linear dependency between the financial markets (in particular BRICS exchange rates). Optimal lag length of one (1) was selected using the SIC. The VAR model with lag length one was fitted and the parameters were estimated. The results revealed that there is a unidirectional relationship amongst the BRICS exchange rates. The VAR (1) model did not satisfy all the diagnostic tests, therefore forecasting future values of the BRICS exchange rates could not be computed. Recommendations for different approaches were formulated.

Suggested Citation

  • Lebotsa Daniel Metsileng & Ntebogang Dinah Moroke & Johannes Tshepiso Tsoku, 2018. "Modelling the BRICS Exchange Rates Using the Vector Autoregressive (VAR) Model," Journal of Economics and Behavioral Studies, AMH International, vol. 10(5), pages 220-229.
    • Handle: RePEc:rnd:arjebs:v:10:y:2018:i:5:p:220-229
    DOI: 10.22610/jebs.v10i5(J).2511
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    1. Athanasopoulos, George & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," Journal of Econometrics, Elsevier, vol. 164(1), pages 116-129, September.
    2. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    3. Shigeki Ono, 2011. "Oil Price Shocks and Stock Markets in BRICs," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 8(1), pages 29-45, June.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Bagliano, Fabio C. & Favero, Carlo A., 1998. "Measuring monetary policy with VAR models: An evaluation," European Economic Review, Elsevier, vol. 42(6), pages 1069-1112, June.
    6. Backus, David, 1986. "The Canadian-U.S. Exchange Rate: Evidence from a Vector Autoregression," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 628-637, November.
    7. Paul S. Estenson, 1992. "The Keynesian Theory of the Price Level: An Econometric Evaluation Using a Vector Autoregression Model," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 14(4), pages 547-560, July.
    8. Enisan, Akinlo A. & Olufisayo, Akinlo O., 2009. "Stock market development and economic growth: Evidence from seven sub-Sahara African countries," Journal of Economics and Business, Elsevier, vol. 61(2), pages 162-171.
    9. Bruno Eklund, 2007. "Forecasting the Icelandic business cycle using vector autoregressive models," Economics wp36, Department of Economics, Central bank of Iceland.
    10. David A. Bessler, 1984. "Relative Prices and Money: A Vector Autoregression on Brazilian Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 25-30.
    11. David Edgerton & Ghazi Shukur, 1999. "Testing autocorrelation in a system perspective testing autocorrelation," Econometric Reviews, Taylor & Francis Journals, vol. 18(4), pages 343-386.
    12. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    13. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    14. Enders, Walter & Sandler, Todd, 1993. "The Effectiveness of Antiterrorism Policies: A Vector-Autoregression-Intervention Analysis," American Political Science Review, Cambridge University Press, vol. 87(4), pages 829-844, December.
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