IDEAS home Printed from https://ideas.repec.org/a/rnd/arjebs/v10y2018i5p220-229.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/2511/1723
    Download Restriction: no
    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/2511
    Download Restriction: no
    File URL: https://libkey.io/10.22610/jebs.v10i5(J).2511?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:jss:jstsof:27:i04 is not listed on IDEAS
    2. 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).
    3. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    4. Jawad, Muhammad & Qayyum, Abdul, 2015. "Modelling the Impact of Policy Environment on Inflows of Worker’s Remittances in Pakistan: A Multivariate Analysis," MPRA Paper 85497, University Library of Munich, Germany.
    5. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    6. Ono, Shigeki, 2013. "The effects of foreign exchange and monetary policies in Russia," Economic Systems, Elsevier, vol. 37(4), pages 522-541.
    7. Kolo, Horst & Tzanova, Polia, 2017. "Forecasting the German forest products trade: A vector error correction model," Journal of Forest Economics, Elsevier, vol. 26(C), pages 30-45.
    8. Rodrigues, Luciano & Bacchi, Mirian Rumenos Piedade, 2017. "Analyzing light fuel demand elasticities in Brazil using cointegration techniques," Energy Economics, Elsevier, vol. 63(C), pages 322-331.
    9. Bierens, H.J. & Broersma, L., 1991. "The relation between unemployment and interest rate : some international evidence," Serie Research Memoranda 0112, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    10. Zia-Ur- Rahman, 2019. "Influence of Excessive Expenditure of the Government in Perspective of Interest Rate and Money Circulation Which in Turn Affects the Growing Process in Pakistan," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 6(2), pages 120-129.
    11. Jin, Xiaoye, 2015. "Volatility transmission and volatility impulse response functions among the Greater China stock markets," Journal of Asian Economics, Elsevier, vol. 39(C), pages 43-58.
    12. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Chinese liquidity increases and the U.S. economy," Economic Modelling, Elsevier, vol. 52(PB), pages 764-771.
    13. Gediminas Adomavicius & Jesse Bockstedt & Alok Gupta, 2012. "Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression," Information Systems Research, INFORMS, vol. 23(2), pages 397-417, June.
    14. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2015. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 71-79.
    15. Ernst Juerg Weber, 2006. "Monetary policy in a heterogeneous monetary union: the Australian experience," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2487-2495.
    16. Chen, Junyi & Kibriya, Shahriar & Bessler, David & Price, Edwin, 2018. "The relationship between conflict events and commodity prices in Sudan," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 663-684.
    17. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    18. Pham The Anh, 2007. "Nominal Rigidities and The Real Effects of Monetary Policy in a Structural VAR Model," Working Papers 06, Development and Policies Research Center (DEPOCEN), Vietnam.
    19. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    20. Raja Ben Hajria & Salah Khardani & Hamdi Raïssi, 2017. "Testing the lag length of vector autoregressive models: A power comparison between portmanteau and Lagrange multiplier tests," Working Papers 2017-03, Escuela de Negocios y Economía, Pontificia Universidad Católica de Valparaíso.
    21. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rnd:arjebs:v:10:y:2018:i:5:p:220-229. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/jebs .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.