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The Predictive Information Content of External Imbalances for Exchange Rate Returns: How Much Is It Worth?


  • Della Corte, Pasquale
  • Sarno, Lucio
  • Sestieri, Giulia


This paper examines the exchange rate predictability stemming from the equilibrium model of international financial adjustment developed by Gourinchas and Rey (2007). Using predictive variables that measure cyclical external imbalances for country pairs, we assess the ability of this model to forecast out-of-sample four major US dollar exchange rates using various economic criteria of model evaluation. The analysis shows that the model provides economic value to a risk-averse investor, delivering substantial utility gains when switching from a portfolio strategy based on the random walk benchmark to one that conditions on cyclical external imbalances.

Suggested Citation

  • Della Corte, Pasquale & Sarno, Lucio & Sestieri, Giulia, 2010. "The Predictive Information Content of External Imbalances for Exchange Rate Returns: How Much Is It Worth?," CEPR Discussion Papers 8045, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:8045

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    References listed on IDEAS

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    Cited by:

    1. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    2. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    3. Nicolas Coeurdacier & Hélène Rey, 2013. "Home Bias in Open Economy Financial Macroeconomics," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 63-115, March.
    4. Pasquale Della Corte & Steven J. Riddiough & Lucio Sarno, 2016. "Currency Premia and Global Imbalances," Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2161-2193.
    5. Juliana D. Araujo & Povilas Lastauskas & Chris Papageorgiou, 2017. "Evolution of Bilateral Capital Flows to Developing Countries at Intensive and Extensive Margins," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1517-1554, October.
    6. repec:eee:jimfin:v:74:y:2017:i:c:p:283-300 is not listed on IDEAS
    7. Christian Grisse & Thomas Nitschka, 2016. "Exchange Rate Returns and External Adjustment: Evidence from Switzerland," Open Economies Review, Springer, vol. 27(2), pages 317-339, April.
    8. repec:eee:intfor:v:33:y:2017:i:4:p:894-914 is not listed on IDEAS
    9. repec:eee:jeborg:v:142:y:2017:i:c:p:140-163 is not listed on IDEAS
    10. Michalski , Tomasz & Amat , Christophe, 2014. "Fundamentals and Exchange Rate Forecastability with Machine Learning Methods," Les Cahiers de Recherche 1049, HEC Paris.
    11. Aleksejs Krecetovs & Pasquale Della Corte, 2016. "Macro uncertainty and currency premia," 2016 Meeting Papers 624, Society for Economic Dynamics.
    12. Stijn Claessens & M. Ayhan Kose, 2017. "Asset prices and macroeconomic outcomes: A survey," CAMA Working Papers 2017-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    13. Beckmann, Joscha & Czudaj, Robert, 2017. "Capital flows and GDP in emerging economies and the role of global spillovers," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 140-163.
    14. Dick, Christian D. & MacDonald, Ronald & Menkhoff, Lukas, 2015. "Exchange rate forecasts and expected fundamentals," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 235-256.
    15. Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Journal of Econometrics, Elsevier, vol. 196(1), pages 55-67.
    16. Vesna Bucevska, 2015. "Currency Crises in EU Candidate Countries: An Early Warning System Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(4), pages 493-510, September.
    17. Vasios, Michalis & Payne, Richard & Nolte, Ingmar, 2015. "Profiting from Mimicking Strategies in Non-Anonymous Markets," MPRA Paper 61710, University Library of Munich, Germany.
    18. Garratt, Anthony & Mise, Emi, 2014. "Forecasting exchange rates using panel model and model averaging," Economic Modelling, Elsevier, vol. 37(C), pages 32-40.
    19. Bussière, M., 2013. "In Defense of Early Warning Signals," Working papers 420, Banque de France.
    20. Victor Yotzov, 2014. "Prognostic Power of Early Warning Signals for Financial Crises – Theoretical Approaches and Empirical Results," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 3-38.
    21. repec:bfr:bullbf:2013:195:03 is not listed on IDEAS
    22. Beckmann, Joscha & Czudaj, Robert, 2017. "Exchange rate expectations since the financial crisis: Performance evaluation and the role of monetary policy and safe haven," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 283-300.

    More about this item


    foreign exchange; fundamentals; global imbalances; predictability;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets


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