IDEAS home Printed from https://ideas.repec.org/p/rim/rimwps/59_13.html
   My bibliography  Save this paper

Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques

Author

Listed:
  • Theophilos Papadimitriou

    (Department of Economics, University Campus Komotini, Democritus University of Thrace, Greece)

  • Periklis Gogas

    (Department of Economics, University Campus Komotini, Democritus University of Thrace, Greece)

  • Vasilios Plakandaras

    (Department of Economics, University Campus Komotini, Democritus University of Thrace, Greece)

Abstract

In this paper, we approximate the empirical findings of Papadamou and Markopoulos (2012) on the NOK/USD exchange rate under a Machine Learning (ML) framework. By applying Support Vector Regression (SVR) on a general monetary exchange rate model and a Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS) to extract model structure, we test for the validity of popular monetary exchange rate models. We reach to mixed results since the coefficient sign of interest rate differential is in favor only with the model proposed by Bilson (1978), while the inflation rate differential coefficient sign is approximated by the model of Frankel (1979). By adopting various inflation expectation estimates, our SVR model fits actual data with a small Mean Absolute Percentage Error when an autoregressive approach excluding energy prices is adopted for inflation expectation. Overall, our empirical findings conclude that for a small open petroleum producing country such as Norway, fundamentals possess significant forecasting ability when used in exchange rate forecasting.

Suggested Citation

  • Theophilos Papadimitriou & Periklis Gogas & Vasilios Plakandaras, 2013. "Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques," Working Paper series 59_13, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:59_13
    as

    Download full text from publisher

    File URL: http://www.rcea.org/RePEc/pdf/wp59_13.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Della Corte, Pasquale & Sarno, Lucio & Tsiakas, Ilias, 2011. "Spot and forward volatility in foreign exchange," Journal of Financial Economics, Elsevier, vol. 100(3), pages 496-513, June.
    2. Michael Frenkel & Isabell Koske, 2004. "How well can monetary factors explain the exchange rate of the euro?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 32(3), pages 233-244, September.
    3. Frenkel, Jacob A, 1976. " A Monetary Approach to the Exchange Rate: Doctrinal Aspects and Empirical Evidence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 78(2), pages 200-224.
    4. Stephanos Papadamou & Thomas Markopoulos, 2012. "The Monetary Approach to the Exchange Rate Determination for a “Petrocurrency”: The Case of Norwegian Krone," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(3), pages 299-314, August.
    5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    6. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    7. De Grauwe, Paul, 1996. "International Money: Postwar Trends and Theories," OUP Catalogue, Oxford University Press, edition 2, number 9780198775133, Decembrie.
    8. 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.
    9. Tatsuyoshi Miyakoshi, 2000. "The monetary approach to the exchange rate: empirical observations from Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 7(12), pages 791-794.
    10. Q. Farooq Akram, 2004. "Oil prices and exchange rates: Norwegian evidence," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 476-504, December.
    11. Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2005. "Exchange rates and fundamentals: evidence on the economic value of predictability," Journal of International Economics, Elsevier, vol. 66(2), pages 325-348, July.
    12. 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.
    13. Backus, David K & Gregory, Allan W & Telmer, Chris I, 1993. "Accounting for Forward Rates in Markets for Foreign Currency," Journal of Finance, American Finance Association, vol. 48(5), pages 1887-1908, December.
    14. David O. Cushman, 2007. "A portfolio balance approach to the Canadian–U.S. exchange rate," Review of Financial Economics, John Wiley & Sons, vol. 16(3), pages 305-320.
    15. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    16. Lee Chin & M. Azali & Zulkornain Yusop & Mohammed Yusoff, 2007. "The monetary model of exchange rate: evidence from The Philippines," Applied Economics Letters, Taylor & Francis Journals, vol. 14(13), pages 993-997.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Plakandaras, Vasilios & Gupta, Rangan & Wohar, Mark E., 2017. "The depreciation of the pound post-Brexit: Could it have been predicted?," Finance Research Letters, Elsevier, vol. 21(C), pages 206-213.
    2. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis & Diamantaras, Konstantinos, 2015. "Market sentiment and exchange rate directional forecasting," Algorithmic Finance, IOS Press, vol. 4(1-2), pages 69-79.
    3. Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018. "The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
    4. Rangan Gupta & Vasilios Plakandaras, 2019. "Efficiency in BRICS Currency Markets Using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Journal of Economics and Behavioral Studies, AMH International, vol. 11(1), pages 152-165.

    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. Theophilos Papadimitriou & Periklis Gogas & Vasilios Plakandaras, 2016. "Testing Exchange Rate Models in a Small Open Economy: an SVR Approach," Bulletin of Applied Economics, Risk Market Journals, vol. 3(2), pages 9-29.
    2. Stephanos Papadamou & Thomas Markopoulos, 2012. "The Monetary Approach to the Exchange Rate Determination for a “Petrocurrency”: The Case of Norwegian Krone," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(3), pages 299-314, August.
    3. Levent KORAP, 2008. "Exchange Rate Determination Of Tl/Us$:A Co-Integration Approach," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 7(1), pages 24-50, May.
    4. Mylonidis, Nikolaos & Stamopoulou, Ioanna, 2011. "The role of monetary policy in managing the euro - dollar exchange rate," MPRA Paper 29291, University Library of Munich, Germany.
    5. 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.
    6. Din 祲 Afat & Marta G -Puig & Sim osvilla-Rivero, 2015. "The failure of the monetary model of exchange rate determination," Applied Economics, Taylor & Francis Journals, vol. 47(43), pages 4607-4629, September.
    7. Cheng, Fuzhi & Orden, David, 2005. "Exchange rate misalignment and its effects on agricultural producer support estimates," MTID discussion papers 81, International Food Policy Research Institute (IFPRI).
    8. Piotr Wdowiński, 2011. "Model monetarny kursu równowagi złoty/euro: analiza kointegracyjna," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 67-86.
    9. 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.
    10. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2011. "The dollar-euro exchange rate and macroeconomic fundamentals: a time-varying coefficient approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(1), pages 11-40, April.
    11. Evans, Olaniyi, 2013. "The Monetary Model of Exchange Rate in Nigeria: an Autoregressive Distributed Lag (ARDL) Approach," MPRA Paper 52457, University Library of Munich, Germany.
    12. repec:zbw:rwirep:0134 is not listed on IDEAS
    13. Rakesh K. Bissoondeeal & Michail Karoglou & Alicia M. Gazely, 2011. "Forecasting The Uk/Us Exchange Rate With Divisia Monetary Models And Neural Networks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 127-152, February.
    14. Lee, Chin & M., Azali, 2005. "Exchange rate misalignments in ASEAN-5 countries," MPRA Paper 59169, University Library of Munich, Germany.
    15. Xie, Zixiong & Chen, Shyh-Wei, 2019. "Exchange rates and fundamentals: A bootstrap panel data analysis," Economic Modelling, Elsevier, vol. 78(C), pages 209-224.
    16. Hina, Hafsa & Qayyum, Abdul, 2015. "Exchange Rate Determination and Out of Sample Forecasting: Cointegration Analysis," MPRA Paper 61997, University Library of Munich, Germany.
    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. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate? - A Time-varying Coefficient Approach," Ruhr Economic Papers 0134, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    19. 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.
    20. Chien-Chung Nieh & Yu-Shan Wang, 2005. "ARDL Approach to the Exchange Rate Overshooting in Taiwan," Review of Quantitative Finance and Accounting, Springer, vol. 25(1), pages 55-71, August.
    21. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.

    More about this item

    Keywords

    International Financial Markets; Foreign Exchange; Support Vector Regression; Monetary exchange rate models;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F30 - International Economics - - International Finance - - - General
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:rim:rimwps:59_13. 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: Marco Savioli (email available below). General contact details of provider: https://edirc.repec.org/data/rcfeait.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.