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The dollar–euro exchange rate and monetary fundamentals

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Abstract

This study analyzes the relationship between the dollar–euro exchange rate and macroeconomic fundamentals according to the monetary model after 1999. Multivariate and time-varying univariate cointegration techniques are used to test for a long-run equilibrium and changes in the underlying coefficients. Our results provide clear evidence of a long-run relationship between exchange rates and fundamentals. However, we find significant changes in the economic impact of fundamentals on the dollar–euro exchange rate. Both long-run and the short-run coefficients are shown to be strongly time-varying and significantly affected by the financial crisis and the emergence of unconventional monetary policy.

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Notes

  1. See, for example, Sarno and Taylor (2002) for a discussion of such models.

  2. The imperfect knowledge approach is based on the idea that market participants do not know the exact model but use fundamentals to forecast exchange rates in a way consistent with assumed theory. Accordingly, the link between fundamentals and the exchange rate changes when market participants revise their belief in the underlying model.

  3. According to their findings, the EU model outperforms the DM model, since the latter is not able to beat a random walk forecast significantly at any forecast horizon.

  4. If Eq. (3) is combined with uncovered interest rate parity (UIP) and the expected change in the exchange rate is considered stationary, the nominal exchange rate is driven only by relative money and income, that is, by money velocity.

  5. Frenkel (1976) analyzed the monetary model for the period of German hyperinflation in the 1920s.

  6. Further shortcomings include a possible endogeneity bias, since the choice of the nominal exchange rate as the left-hand variable is arbitrary, see Sarno and Taylor (2002).

  7. For example, the results of suggest that an increase in German money supply results in an appreciation of the mark. In addition, several explanations for the rise of the dollar during the early eighties have been raised in the literature.

  8. Estimations with alternative configurations leave our main results unchanged and are available upon request.

  9. Since excess kurtosis does not introduce a significant bias to the estimated cointegration vectors, the findings are more sensitive to excess skewness (Juselius 2006).

  10. Both adjustment coefficients and recursive estimations are available upon request.

  11. The OLS estimator is superconsistent in case of cointegration.

  12. As a robustness check, we have also carried out recursive maximum likelihood estimations of the cointegrating vectors in the multivariate framework. The results, which are available upon request, show a related pattern of higher volatility compared to the estimates reported in the next section.

References

  • Bacchetta P, van Wincoop E (2004) A scapegoat model of exchange-rate fluctuations. Am Econ Rev 94:114–118

    Article  Google Scholar 

  • Beckmann J, Belke A, Kühl M (2011) The dollar–euro exchange rate and macroeconomic fundamentals: a time-varying coefficient approach. Rev World Econ 147(1):11–40

    Article  Google Scholar 

  • Beckmann J, Czadj R (2013) Oil prices and effective dollar exchange rates. Int Rev Econ Financ 27:621–36

    Article  Google Scholar 

  • Bilson J (1978) The current experience with floating exchange rates: an appraisal of the monetary approach. Am Econ Rev 68(2):392–397

    Google Scholar 

  • Chinn MD, Meese RA (1995) Banking on currency forecasts: How predictable is change in money? J Int Econ 38(1–2):161–178

    Article  Google Scholar 

  • Cour LL, MacDonald R (2000) Modeling the ECU against the US dollar: a structural monetary interpretation. J Bus Econ Stat 18(4):436–450

  • Cushman DO, Lee SS, Thorgeirsson T (1996) Maximum likelihood estimation of cointegration in exchange rate models for seven inflationary OECD countries. J Int Money Financ 15(3):337–368

    Article  Google Scholar 

  • De Grauwe P, Vansteenkiste I (2007) Exchange rates and fundamentals: A nonlinear relationship? Int J Financ Econ 12(1):37–54

    Article  Google Scholar 

  • Dornbusch R (1980) Exchange rate economics: Where do we stand? Brook Pap Econ Act 11(1):143–206

    Article  Google Scholar 

  • Driskell RA (1981) Exchange rate dynamics: an empirical investigation. J Polit Econ 89(2):357–371

    Article  Google Scholar 

  • Engle RF, Granger C (1987) Co-integration and error correction: representation estimation, and testing. Econometrica 55:251–275

    Article  Google Scholar 

  • Engel C, Hamilton JD (1990) Long swings in the dollar: Are they in the data and do markets know it? Am Econ Rev 80(4):689–713

    Google Scholar 

  • Engel C, Mark NC, West KD (2008) Exchange rate models are not as bad as you think. In: Acemoglu D, Rogoff K, Woodford M (eds) NBER macroeconomics annual 2007, vol 22. University of Chicago Press, Chicago, pp 381–441

  • Frankel JA (1979) On the mark: a theory of floating exchanges rates based on real interest differentials. Am Econ Rev 69(4):610–622

    Google Scholar 

  • Frenkel JA (1976) A monetary approach to the exchange rate: doctrinal aspects and empirical evidence. Scand J Econ 78(2):200–224

    Article  Google Scholar 

  • Frömmel M, MacDonald R, Menkhoff L (2005a) Markov switching regimes in a monetary exchange rate model. Econ Model 22(3):485–502

    Article  Google Scholar 

  • Frömmel M, MacDonald R, Menkhoff L (2005b) Do Fundamentals Matter for the D-mark/Euro-dollar? A regime switching approach, Global Finance Journal 15(3):321–335

    Article  Google Scholar 

  • Goldberg MD, Frydman R (1996) Empirical exchange rate models and shifts in the co-integrating vector. Struct Change Econ Dyn 7(1):55–78

    Article  Google Scholar 

  • Goldberg MD, Frydman R (2001) Macroeconomic fundamentals and the DM/$ exchange rate: temporal instability and the monetary model. Int J Financ Econ 6(4):421–435

    Article  Google Scholar 

  • Goldberg MD (2000) On Empirical Exchange Rate Models: What Does a Rejection of the Symmetry Restriction on Short-Run Interest Rates Mean? Journal of International Money and Finance 19:673–688

    Article  Google Scholar 

  • Goldberg MD, Frydman R (2007) Imperfect knowledge economics: exchange rates and risk. Princeton University Press, Princeton

    Google Scholar 

  • Haavelmo T (1944) The probability approach in econometrics. Econometrica 12:1–115

    Article  Google Scholar 

  • Hargreaves C (1994) A review of estimating cointegrating relationships. In: Hargreaves C (ed) Nonstationary time series analysis and cointegration, Oxford

  • Haynes SE, Stone JA (1981) On the mark: a comment. Am Econ Rev 71:1060–1067

    Google Scholar 

  • Heimonen K (2007) Time-varying fundamentals of the euro–dollar exchange rate. Int Econ J 4:385–407

    Google Scholar 

  • Hodrick RJ (1978) An empirical analysis of the monetary approach to the determination of the exchange rate. In: Frankel JA, Johanson HA (eds) The economics of exchange rates: selected studies. Addison-Wesley, Reading, pp 97–116

    Google Scholar 

  • Hoover KD, Juselius K, Johansen S (2007) Allowing the data to speak freely: the macroeconometrics of the cointegrated vector autoregression. University of Copenhagen Department of Economics Discussion Papers No. 07-35

  • Ince O, Molodtsova T, Papell DH (2015) Taylor rule deviations and out-of-sample exchange rate predictability, manuscript. Appalachian State University, Boone

    Google Scholar 

  • Inoue A, Rossi B (2012) Out-of-sample forecast tests robust to the window size choice. J Bus Econ Stat 30(3):432–453

    Article  Google Scholar 

  • Jochmann M, Koop G (2015) Regime-switching cointegration. Stud Nonlinear Dyn Econ 19(1):35–48

  • Johansen S (1988) Statistical analysis of cointegration vectors. J Econ Dyn Control 12(2–3):231–254

    Article  Google Scholar 

  • Johansen S (1991) Estimation and hypothesis testing of cointegrated vectors in Gaussian vector autoregressive models. Econometrica 59(6):1551–1580

    Article  Google Scholar 

  • Juselius K (2006) The cointegrated VAR model: Econometric Methodology and Macroeconomic Applications. Oxford University Press, Oxford

    Google Scholar 

  • MacDonald R, Taylor MP (1993) The monetary approach to the exchange rate: rational expectations, long-run equilibrium and forecasting, IMF Working Paper WP/92/34

  • MacDonald R, Taylor MP (1994) The monetary model of the exchange rate: long-run relationships, short-run dynamics and how to beat the random walk. J Int Money Financ 13:276–290

    Article  Google Scholar 

  • Mark NC (1997) Crash!. Expectational Aspects of the Departures of the United Kingdom and the United States from the Inter-War Gold Standard, Explorations in Economic History 34(2):174–194

    Google Scholar 

  • Meese RA, Rogoff K (1983) Empirical exchange rate models of the seventies: Do they fit out of sample? J Int Econ 14(1–2):3–24

    Article  Google Scholar 

  • Meese RA, Rogoff K (1988) Was it real? The Exchange Rate-Interest Differential Relation over the Modern Floating-Rate Period, Journal of Finance 43(1):933–948

    Google Scholar 

  • Meese RA (1986) Testing for bubbles in exchange markets: A case of sparkling rates? J Polit Econ 94(2):345–373

    Article  Google Scholar 

  • Meese RA (1990) Currency fluctuations in the post-Bretton woods era. J Econ Perspect 4(1):117–134

    Article  Google Scholar 

  • Molodtsova T, Papell DH (2013) Taylor rule exchange rate forecasting during the financial crisis. In: Giavazzi F, West KD (eds) NBER international seminar on macroeconomics 2012, vol 9. University of Chicago Press, Chicago, pp 55–97

  • Molodtsova T, Nikolsko-Rzhevskyy A, Papell D (2011) Taylor rules and the euro. J Money Credit Bank 43(2):535–552

    Article  Google Scholar 

  • Nautz D, Offermanns CJ (2006) Does the euro follow the German mark? Evidence from the monetary model of the exchange rate. Eur Econ Rev 50(5):1279–1295

    Article  Google Scholar 

  • Papell DH (1997) Cointegration and exchange rate dynamics. J Int Money Financ 16(3):445–459

    Article  Google Scholar 

  • Rahbek A, Hansen E, Dennis JG (2002) ARCH innovations and their impact on cointegration rank testing. Department of Theoretical Statistics, Centre for Analytical Finance, University of Copenhagen, Working Paper no. 22

  • Rogoff K, Stavrakeva V (2008) The continuing puzzle of short horizon exchange rate forecasting. National Bureau of Economic Research Working Paper 14071

  • Rossi B (2013) Exchange rate predictability. J Econ Lit 51(4):1063–1119

    Article  Google Scholar 

  • Sarno L, Valente G, Wohar ME (2004) Monetary fundamentals and exchange rate dynamics under different nominal regime. Econ Inq 42(2):179–193

    Article  Google Scholar 

  • Sarno L, Valente G (2009) Exchange rates and fundamentals: Footloose or evolving relationship? J Eur Econ Assoc 7(4):768–830

    Article  Google Scholar 

  • Sarno L (2005) Viewpoint: towards a solution to the puzzles in exchange rate economics: Where do we stand? Can J Econ 38(3):673–708

    Article  Google Scholar 

  • Sarno L, Taylor MP (2002) The economics of exchange rates. Cambridge University Press, Cambridge

    Google Scholar 

  • Schinasi GJ, Swamy PAVB (1989) The out-of-sample forecasting performance of exchange rate models when coefficients are allowed to change. J Int Money Financ 8(3):375–390

    Article  Google Scholar 

  • Siklos PL, Granger CWJ (1997) Regime-sensitive cointegration with an application to interest-rate parity. Macroecon Dyn 1(3):640–657

    Article  Google Scholar 

  • Stock JH, Watson MW (1988) Testing for Common Trends. Journal of the American Statistical Association 83(404):1097–1107

    Article  Google Scholar 

  • Tamakoshi G, Hamori S (2014) Co-movements among major European exchange rates: a multivariate time-varying asymmetric approach. Int Rev Econ Financ 31:105–113

    Article  Google Scholar 

  • Taylor MP, Peel DA (2000) Nonlinear Adjustment. Long-Run Equilibrium and Exchange Rate Fundamentals, Journal of International Money and Finance 19(1):33–53

    Google Scholar 

  • Wolff CCP (1987) Time-varying Parameters and the out-of-sample Forecasting Performance of Structural Exchange Rate Models. Journal of Business and Economic Statistics 5(1):87–97

    Google Scholar 

Download references

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Beckmann, J., Glycopantis, D. & Pilbeam, K. The dollar–euro exchange rate and monetary fundamentals. Empir Econ 54, 1389–1410 (2018). https://doi.org/10.1007/s00181-017-1335-1

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