IDEAS home Printed from https://ideas.repec.org/p/nbp/nbpmis/260.html
   My bibliography  Save this paper

Exchange rate forecasting with DSGE models

Author

Listed:
  • Marcin Kolasa

    (Narodowy Bank Polski and Warsaw School of Economics)

  • Michał Rubaszek

    (Narodowy Bank Polski and Warsaw School of Economics)

  • Michele Ca' Zorzi

    (European Central Bank)

Abstract

We run an exchange rate forecasting “horse race”, which highlights that three principles hold. First, forecasts should not replicate the high volatility of exchange rates observed in sample. Second, models should exploit the mean reversion of the real exchange rate over long horizons. Third, they should account for the international price co-movement seen in the data. Abiding by the first two principles an open-economy dynamic stochastic general equilibrium (DSGE) model performs well in forecasting the real but not the nominal exchange rate. Only approaches that conform to all three principles tend to outperform the random walk.

Suggested Citation

  • Marcin Kolasa & Michał Rubaszek & Michele Ca' Zorzi, 2017. "Exchange rate forecasting with DSGE models," NBP Working Papers 260, Narodowy Bank Polski, Economic Research Department.
  • Handle: RePEc:nbp:nbpmis:260
    Note: The paper was presented at Narodowy Bank Polski (Warsaw, September 2015), the European Central Bank (Frankfurt, October 2015), the 16th IWH-CIREQ Macroeconometric Workshop (Halle, December 2015), Norges Bank (Oslo, January 2016), the 4th International Symposium in Computational Economics and Finance (Paris, April 2016), the 36th International Symposium on Forecasting (Santander, June 2016) and the 31th annual congress of the European Economic Association (Geneva, August 2016).
    as

    Download full text from publisher

    File URL: http://www.nbp.pl/publikacje/materialy_i_studia/260_en.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wang, Pengfei & Wen, Yi, 2007. "Inflation dynamics: A cross-country investigation," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2004-2031, October.
    2. Jean Imbs & Haroon Mumtaz & Morten O. Ravn & Hélène Rey, 2005. "PPP Strikes Back: Aggregation And the Real Exchange Rate," The Quarterly Journal of Economics, Oxford University Press, vol. 120(1), pages 1-43.
    3. Malin Adolfson & Jesper Linde & Mattias Villani, 2007. "Forecasting Performance of an Open Economy DSGE Model," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 289-328.
    4. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
    5. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
    6. Kenneth Rogoff, 1996. "The Purchasing Power Parity Puzzle," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 647-668, June.
    7. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    8. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia & Zhang, Yi, 2019. "Exchange rate prediction redux: New models, new data, new currencies," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 332-362.
    9. Engel, Charles, 2000. "Long-run PPP may not hold after all," Journal of International Economics, Elsevier, vol. 51(2), pages 243-273, August.
    10. 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.
    11. Charles Engel & Nelson C. Mark & Kenneth D. West, 2008. "Exchange Rate Models Are Not As Bad As You Think," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 381-441, National Bureau of Economic Research, Inc.
    12. Michael Wickens, 2014. "How Useful are DSGE Macroeconomic Models for Forecasting?," Open Economies Review, Springer, vol. 25(1), pages 171-193, February.
    13. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    14. Marc Klau & San Sau Fung, 2006. "The new BIS effective exchange rate indices," BIS Quarterly Review, Bank for International Settlements, March.
    15. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
    16. Matteo Ciccarelli & Benoît Mojon, 2010. "Global Inflation," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 524-535, August.
    17. William Ellery Channing, 1994. "Change," American Journal of Economics and Sociology, Wiley Blackwell, vol. 53(1), pages 15-15, January.
    18. Rossi, Barbara, 2005. "Confidence Intervals for Half-Life Deviations From Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 432-442, October.
    19. Alan M. Taylor & Mark P. Taylor, 2004. "The Purchasing Power Parity Debate," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 135-158, Fall.
    20. Justiniano, Alejandro & Preston, Bruce, 2010. "Can structural small open-economy models account for the influence of foreign disturbances?," Journal of International Economics, Elsevier, vol. 81(1), pages 61-74, May.
    21. Jordi Galí & Tommaso Monacelli, 2005. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 707-734.
    22. Paul R. Bergin, 2017. "Putting the “New Open Economy Macroeconomics” to a Test," World Scientific Book Chapters, in: International Macroeconomic Interdependence, chapter 4, pages 79-115, World Scientific Publishing Co. Pte. Ltd..
    23. 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.
    24. Obstfeld, Maurice & Rogoff, Kenneth, 1995. "Exchange Rate Dynamics Redux," Journal of Political Economy, University of Chicago Press, vol. 103(3), pages 624-660, June.
    25. 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.
    26. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    27. Gürkaynak, Refet S. & Kisacikoglu, Burçin & Rossi, Barbara, 2013. "Do DSGE Models Forecast More Accurately Out-of-Sample than VAR Models?," CEPR Discussion Papers 9576, C.E.P.R. Discussion Papers.
    28. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    29. Kolasa, Marcin & Rubaszek, Michał, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," International Journal of Forecasting, Elsevier, vol. 34(4), pages 809-821.
    30. Paul R. Bergin & Reuven Glick & Jyh-Lin Wu, 2013. "The Micro-Macro Disconnect of Purchasing Power Parity," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 798-812, July.
    31. John Williamson, 1994. "Estimating Equilibrium Exchange Rates," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 17, October.
    32. 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.
    33. Crucini, Mario J. & Shintani, Mototsugu, 2008. "Persistence in law of one price deviations: Evidence from micro-data," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 629-644, April.
    34. Alejandro Justiniano & Bruce Preston, 2010. "Monetary policy and uncertainty in an empirical small open‐economy model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 93-128, January.
    35. Michael B. Devereux & Charles Engel, 2003. "Monetary Policy in the Open Economy Revisited: Price Setting and Exchange-Rate Flexibility," Review of Economic Studies, Oxford University Press, vol. 70(4), pages 765-783.
    36. Murray, Christian J. & Papell, David H., 2002. "The purchasing power parity persistence paradigm," Journal of International Economics, Elsevier, vol. 56(1), pages 1-19, January.
    37. Raffaella Giacomini, 2015. "Economic theory and forecasting: lessons from the literature," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 22-41, June.
    38. Rebecca L Driver & Peter F Westaway, 2005. "Concepts of equilibrium exchange rates," Bank of England working papers 248, Bank of England.
    39. Daron Acemoglu & Kenneth Rogoff & Michael Woodford, 2007. "NBER Macroeconomics Annual 2006, Volume 21," NBER Books, National Bureau of Economic Research, Inc, number acem06-1, Juni.
    40. Alan M. Taylor & Mark P. Taylor, 2004. "The Purchasing Power Parity Debate," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 135-158, Fall.
    41. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    42. Ince, Onur, 2014. "Forecasting exchange rates out-of-sample with panel methods and real-time data," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 1-18.
    43. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    44. Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016. "The BEAR toolbox," Working Paper Series 1934, European Central Bank.
    45. Paul R. Bergin, 2017. "How Well Can the New Open Economy Macroeconomics Explain the Exchange Rate and Current Account?," World Scientific Book Chapters, in: International Macroeconomic Interdependence, chapter 5, pages 117-152, World Scientific Publishing Co. Pte. Ltd..
    46. Jonathan H. Wright, 2013. "Evaluating Real‐Time Var Forecasts With An Informative Democratic Prior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 762-776, August.
    47. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    48. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.),Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    49. Bussière, Matthieu & Ca' Zorzi, Michele & Chudik, Alexander & Dieppe, Alistair, 2010. "Methodological advances in the assessment of equilibrium exchange rates," Working Paper Series 1151, European Central Bank.
    50. Daron Acemoglu & Kenneth Rogoff & Michael Woodford (ed.), 2007. "NBER Macroeconomics Annual 2006," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262512009, December.
    51. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    52. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
    53. Lutz Kilian & Tao Zha, 2002. "Quantifying the uncertainty about the half-life of deviations from PPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 107-125.
    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. Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020. "Mean-reversion, non-linearities and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 65(C).
    2. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95, April.
    3. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," GRU Working Paper Series GRU_2017_008, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    4. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    5. Stijn Claessens & M Ayhan Kose, 2017. "Asset prices and macroeconomic outcomes: a survey," BIS Working Papers 676, Bank for International Settlements.
    6. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    7. Chung-Fu Lai, 2018. "Fiscal Policy and Macroeconomic Fluctuations in a Fixed Exchange Rate Regime," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 8(10), pages 1257-1273, October.
    8. Michał Rubaszek & Paweł Skrzypczyński & Grzegorz Koloch, 2010. "Forecasting the Polish Zloty with Non-Linear Models," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 2(2), pages 151-167, March.
    9. Tomosk, Steve & Haysom, Joan E. & Wright, David, 2017. "Quantifying economic risk in photovoltaic power projects," Renewable Energy, Elsevier, vol. 109(C), pages 422-433.
    10. Sun, Shaolong & Wang, Shouyang & Wei, Yunjie, 2019. "A new multiscale decomposition ensemble approach for forecasting exchange rates," Economic Modelling, Elsevier, vol. 81(C), pages 49-58.
    11. Eichenbaum, Martin & Johannsen, Benjamin & Rebelo, S�rgio, 2017. "Monetary Policy and the Predictability of Nominal Exchange Rates," CEPR Discussion Papers 11844, C.E.P.R. Discussion Papers.
    12. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.
    13. Kolasa, Marcin & Rubaszek, Michał, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," International Journal of Forecasting, Elsevier, vol. 34(4), pages 809-821.
    14. Mijakovic, Andrej & Rubaszek, Michał & Ca' Zorzi, Michele & Cap, Adam, 2020. "The predictive power of equilibrium exchange rate models," Working Paper Series 2358, European Central Bank.
    15. Adrian Marek Burda & Blazej Mazur & Mateusz Pawel Pipien, 2017. "Forecasting EUR/PLN Exchange Rate: the Role of Purchasing Power Parity Hypothesis in ESTVEC Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 97-114.
    16. Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2018. "Long-Memory Modeling and Forecasting: Evidence from the U.S. Historical Series of Inflation," Working Papers 201869, University of Pretoria, Department of Economics.

    More about this item

    Keywords

    Forecasting; exchange rates; New Open Economy Macroeconomics; mean reversion;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

    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:nbp:nbpmis:260. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zbigniew Polański). General contact details of provider: http://edirc.repec.org/data/nbpgvpl.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.