IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/96908.html
   My bibliography  Save this paper

An ARIMA analysis of the Indian Rupee/USD exchange rate in India

Author

Listed:
  • NYONI, THABANI

Abstract

This study uses annual time series data on the Indian Rupee / USD exchange rate from 1960 to 2017, to model and forecast exchange rates using the Box-Jenkins ARIMA technique. Diagnostic tests indicate that R is an I (1) variable. Based on Theil’s U, the study presents the ARIMA (0, 1, 6) model, the diagnostic tests further show that this model is quite stable and hence acceptable for forecasting the Indian Rupee / USD exchange rates. The selected optimal model the ARIMA (0, 1, 6) model shows that the Indian Rupee / USD exchange rate will appreciate over the period 2018 – 2022, after which it will depreciate slightly until 2027. The main policy prescription emanating from this study is that the Reserve Bank of India (RBI) should devalue the Rupee, firstly to restore the much needed exchange rate stability, secondly to encourage local manufacturing and thirdly to promote foreign capital inflows.

Suggested Citation

  • Nyoni, Thabani, 2019. "An ARIMA analysis of the Indian Rupee/USD exchange rate in India," MPRA Paper 96908, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:96908
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/96908/1/MPRA_paper_96908.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexius, Annika, 2001. "Uncovered Interest Parity Revisited," Review of International Economics, Wiley Blackwell, vol. 9(3), pages 505-517, August.
    2. Olcay Erdogan & Ali Goksu, 2014. "Forecasting Euro and Turkish Lira Exchange Rates with Artificial Neural Networks (ANN)," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(4), pages 307-316, October.
    3. Kim, Yoonbai, 1990. "Purchasing power parity : Another look at the long-run data," Economics Letters, Elsevier, vol. 32(4), pages 339-344, April.
    4. Tronzano, Marco, 1992. "Long-Run purchasing Power Parity and Mean Reversion in Real Exchange Rates: A Further Assessment," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 45(1), pages 77-100.
    5. Ashima Goyal, 2018. "Evaluating India’s exchange rate regime under global shocks," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 11(3), pages 304-321, September.
    6. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    7. Tudela, Merxe, 2004. "Explaining currency crises: a duration model approach," Journal of International Money and Finance, Elsevier, vol. 23(5), pages 799-816, September.
    8. Nyoni, Thabani, 2018. "Modeling and Forecasting Naira / USD Exchange Rate In Nigeria: a Box - Jenkins ARIMA approach," MPRA Paper 88622, University Library of Munich, Germany, revised 19 Aug 2018.
    9. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    10. Michele Ca’ Zorzi & Jakub Muck & Michal Rubaszek, 2016. "Real Exchange Rate Forecasting and PPP: This Time the Random Walk Loses," Open Economies Review, Springer, vol. 27(3), pages 585-609, July.
    11. Guy Meredith & Menzie D. Chinn, 1998. "Long-Horizon Uncovered Interest Rate Parity," NBER Working Papers 6797, National Bureau of Economic Research, Inc.
    12. Taylor, M P, 1990. "Ex Ante Purchasing Power Parity: Some Evidence Based on Vector Autoregressions in the Time Domain," Empirical Economics, Springer, vol. 15(1), pages 77-91.
    13. Annika Alexius, 2001. "Uncovered Interest Parity Revisited," Review of International Economics, Wiley Blackwell, vol. 9(3), pages 505-517, August.
    14. Jordi Galí & Tommaso Monacelli, 2005. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 707-734.
    15. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," MPRA Paper 11360, University Library of Munich, Germany.
    16. Frankel, Jeffrey A, 1979. "On the Mark: A Theory of Floating Exchange Rates Based on Real Interest Differentials," American Economic Review, American Economic Association, vol. 69(4), pages 610-622, September.
    17. Pami Dua & Rajiv Ranjan, 2011. "Modelling and Forecasting the Indian Re/US Dollar Exchange Rate," Working papers 197, Centre for Development Economics, Delhi School of Economics.
    18. Brunner, Karl & Meltzer, Allan H., 1979. "Policies for employment, prices, and exchange rates," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 11(1), pages 1-7, January.
    19. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    20. Nyoni, Thabani, 2018. "Box-Jenkins ARIMA approach to predicting net FDI inflows in Zimbabwe," MPRA Paper 87737, University Library of Munich, Germany.
    21. Ganbold, Batzorig & Akram, Iqra & Fahrozi Lubis, Raisal, 2017. "Exchange rate volatility: A forecasting approach of using the ARCH family along with ARIMA SARIMA and semi-structural-SVAR in Turkey," MPRA Paper 84447, University Library of Munich, Germany, revised 2017.
    22. Patel, Jayendu, 1990. "Purchasing Power Parity as a Long-Run Relation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(4), pages 367-379, Oct.-Dec..
    23. Kim, Yoonbai, 1990. "Purchasing Power Parity in the Long Run: A Cointegration Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 22(4), pages 491-503, November.
    24. Enders, Walter, 1988. "ARIMA and Cointegration Tests of PPP under Fixed and Flexible Exchange Rate Regimes," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 504-508, August.
    25. S. M. Abdullah & Salina Siddiqua & Muhammad Shahadat Hossain Siddiquee & Nazmul Hossain, 2017. "Modeling and forecasting exchange rate volatility in Bangladesh using GARCH models: a comparison based on normal and Student’s t-error distribution," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-19, December.
    26. Canova, Fabio & Marrinan, Jane, 1993. "Profits, risk, and uncertainty in foreign exchange markets," Journal of Monetary Economics, Elsevier, vol. 32(2), pages 259-286, November.
    27. Mussa, Michael, 1979. "Empirical regularities in the behavior of exchange rates and theories of the foreign exchange market," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 11(1), pages 9-57, January.
    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. Lillie Lam & Laurence Fung & Ip-wing Yu, 2008. "Comparing Forecast Performance of Exchange Rate Models," Working Papers 0808, Hong Kong Monetary Authority.
    2. Christopher J. Neely & Lucio Sarno, 2002. "How well do monetary fundamentals forecast exchange rates?," Review, Federal Reserve Bank of St. Louis, vol. 84(Sep), pages 51-74.
    3. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    4. repec:onb:oenbwp:y::i:28:b:1 is not listed on IDEAS
    5. Engel, Charles, 2014. "Exchange Rates and Interest Parity," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 453-522, Elsevier.
    6. Ali Trabelsi Karoui & Aida Kammoun, 2021. "Exchange Rate Determination: Mixed Microstructural and Macroeconomic Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 11(3), pages 89-106.
    7. Mariam Camarero & Cecilio Tamarit, 1996. "Cointegration and the PPP and the UIP hypotheses: An application to the Spanish integration in the EC," Open Economies Review, Springer, vol. 7(1), pages 61-76, January.
    8. Yin-Wong Cheung & Menzie D. Chinn & Antonio I. Garcia Pascual, 2003. "What Do We Know about Recent Exchange Rate Models? In-Sample Fit and Out-of-Sample Performance Evaluated," CESifo Working Paper Series 902, CESifo.
    9. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
    10. Carlos Eduardo Castillo-Maldonado & Fidel Pérez-Macal, 2013. "Assessment of models to forecast exchange rates: The quetzal–U.S. dollar exchange rate," Journal of Applied Economics, Universidad del CEMA, vol. 16, pages 71-99, May.
    11. Éric Jondeau, 1996. "Les modèles monétaires de taux de change : un examen empirique," Économie et Prévision, Programme National Persée, vol. 123(2), pages 53-65.
    12. Meese, Richard & Rogoff, Kenneth, 1986. "Was it real? The exchange rate -- Interest differential relation: 1973-1984," Journal of Economic Dynamics and Control, Elsevier, vol. 10(1-2), pages 297-298, June.
    13. Ron Alquist & Menzie D. Chinn, 2008. "Conventional and unconventional approaches to exchange rate modelling and assessment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 2-13.
    14. Cerra, Valerie & Saxena, Sweta Chaman, 2010. "The monetary model strikes back: Evidence from the world," Journal of International Economics, Elsevier, vol. 81(2), pages 184-196, July.
    15. Jaehun Chung & Yongmiao Hong, 2013. "Model-Free Evaluation of Directional Predictability in Foreign Exchange," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    16. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "The implications of monetary expansion in China for the US dollar," Journal of Asian Economics, Elsevier, vol. 46(C), pages 71-84.
    17. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    18. Dibooglu, Selahattin, 1993. "Multiple cointegration and structural models: applications to exchange rate determination," ISU General Staff Papers 1993010108000011419, Iowa State University, Department of Economics.
    19. Dal Bianco, Marcos & Camacho, Maximo & Perez Quiros, Gabriel, 2012. "Short-run forecasting of the euro-dollar exchange rate with economic fundamentals," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 377-396.
    20. Song, Chi-Young, 1997. "The Real Exchange Rate and the Current Account Balance in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 11(2), pages 143-184, June.
    21. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate?: A Time-Varying Coefficient Approach," Discussion Papers of DIW Berlin 944, DIW Berlin, German Institute for Economic Research.

    More about this item

    Keywords

    ARIMA; exchange rate; forecasting; India; Indian Rupee/USD;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:96908. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.