IDEAS home Printed from https://ideas.repec.org/p/ira/wpaper/201918.html
   My bibliography  Save this paper

“Forecasting emerging market currencies: Are inflation expectations useful?”

Author

Listed:
  • Alberto Fuertes

    (Banco de España)

  • Simón Sosvilla-Rivero

    (Complutense Institute for Economic Analysis, Universidad Complutense de Madrid.)

Abstract

This paper investigates the empirical relevance of inflation expectations in forecasting exchange rates. To that end, we use an expectation version of purchasing power parity (EVRPPP) based on the differential of inflation expectations derived from inflation-indexed bonds for Brazil, Colombia, Chile, India, Mexico, Poland, South Africa, South Korea and Turkey. Using monthly data on exchange rates and on the inflation expectations, we find that our predictors are not significantly better than the random walk model, although, with the exception of the South Korean Won, they outperform the random walk when considering the sign of the rate of change. We also find strongly support Granger causality running from exchange rate to the forecasts based on EVRPPP and only partial evidence of Granger causality running the other way around. Finally, our results suggest that 1-year, 5-year and 10-year inflation expectations are mutually consistent.

Suggested Citation

  • Alberto Fuertes & Simón Sosvilla-Rivero, 2019. "“Forecasting emerging market currencies: Are inflation expectations useful?”," IREA Working Papers 201918, University of Barcelona, Research Institute of Applied Economics, revised Oct 2019.
    • Handle: RePEc:ira:wpaper:201918
    as

    Download full text from publisher

    File URL: http://www.ub.edu/irea/working_papers/2019/201918.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Frankel, Jeffrey A & Froot, Kenneth A, 1987. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," American Economic Review, American Economic Association, vol. 77(1), pages 133-153, March.
    3. Michael Frenkel & Jan‐Christoph Rülke & Georg Stadtmann, 2012. "Twisting the Dollar? On the Consistency of Short‐Run and Long‐Run Exchange Rate Expectations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(7), pages 596-616, November.
    4. Karamouzis, Nicholas & Lombra, Raymond, 1989. "Federal reserve policymaking: an overview and analysis of the policy process," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 30(1), pages 7-62, January.
    5. Frankel, Jeffrey A. & Froot, Kenneth A., 1987. "Short-term and long-term expectations of the yen/dollar exchange rate: Evidence from survey data," Journal of the Japanese and International Economies, Elsevier, vol. 1(3), pages 249-274, September.
    6. Alberto Fuertes & Ricardo Gimeno & José Manuel Marqués, 2018. "Extraction of inflation expectations from financial instruments in Latin America," Working Papers 1819, Banco de España.
    7. 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.
    8. 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.
    9. Fuertes, Alberto & Gimeno, Ricardo & Marqués, José Manuel, 2018. "Extraction of Inflation Expectations from Financial Instruments," IDB Publications (Working Papers) 8941, Inter-American Development Bank.
    10. Emma Garcia & Simón Sosvilla-rivero, 2005. "Forecasting the dollar|euro exchange rate: are international parities useful?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 369-377.
    11. He, Huizhen & Chou, Ming Che & Chang, Tsangyao, 2014. "Purchasing power parity for 15 Latin American countries: Panel SURKSS test with a Fourier function," Economic Modelling, Elsevier, vol. 36(C), pages 37-43.
    12. Boothe, Paul & Glassman, Debra, 1987. "Comparing exchange rate forecasting models : Accuracy versus profitability," International Journal of Forecasting, Elsevier, vol. 3(1), pages 65-79.
    13. Deschamps, Benoit & Mehta, Dileep R, 1980. "Predictive Ability and Descriptive Validity of Earnings Forecasting Models," Journal of Finance, American Finance Association, vol. 35(4), pages 933-949, September.
    14. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    15. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    16. Mohsen Bahmani-Oskooee & Tsangyao Chang & Tsungpao Wu, 2014. "Revisiting purchasing power parity in African countries: panel stationary test with sharp and smooth breaks," Applied Financial Economics, Taylor & Francis Journals, vol. 24(22), pages 1429-1438, November.
    17. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    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. Manzan, Sebastiano & Westerhoff, Frank H., 2007. "Heterogeneous expectations, exchange rate dynamics and predictability," Journal of Economic Behavior & Organization, Elsevier, vol. 64(1), pages 111-128, September.
    2. Carlo Altavilla & Paul De Grauwe, 2010. "Forecasting and combining competing models of exchange rate determination," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3455-3480.
    3. Bathia, Deven & Demirer, Riza & Gupta, Rangan & Kotzé, Kevin, 2021. "Unemployment fluctuations and currency returns in the United Kingdom: Evidence from over one and a half century of data," Journal of Multinational Financial Management, Elsevier, vol. 61(C).
    4. Bekiros, Stelios & Marcellino, Massimiliano, 2013. "The multiscale causal dynamics of foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 282-305.
    5. Michał Rubaszek & Paweł Skrzypczyński & Grzegorz Koloch, 2010. "Forecasting the Polish Zloty with Non-Linear Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(2), pages 151-167, March.
    6. Robert Amano & Paul Fenton & David Tessier & Simon van Norden, 1996. "The credibility of monetary policy: a survey of the literature with some simple applications to Caanda," Meeting papers 9610001, University Library of Munich, Germany.
    7. Otavio De Medeiros, 2005. "Order Flow and Exchange Rate Dynamics in Brazil," Finance 0503019, University Library of Munich, Germany.
    8. Zhang, Hui Jun & Dufour, Jean-Marie & Galbraith, John W., 2016. "Exchange rates and commodity prices: Measuring causality at multiple horizons," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 100-120.
    9. Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2018. "Inflation, real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4540-4555, September.
    10. Naszodi, Anna, 2010. "Testing the asset pricing model of exchange rates with survey data," Working Paper Series 1200, European Central Bank.
    11. Dimitris Christopoulos & Miguel A. León-Ledesma, 2009. "On causal Relationships Between Exchange Rates and Fundamentals: Better Than You Think," Studies in Economics 0909, School of Economics, University of Kent.
    12. Bekiros, Stelios D., 2014. "Exchange rates and fundamentals: Co-movement, long-run relationships and short-run dynamics," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 117-134.
    13. Markiewicz, Agnieszka & Pick, Andreas, 2014. "Adaptive learning and survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 685-707.
    14. Imad Moosa & Kelly Burns, 2014. "A reappraisal of the Meese--Rogoff puzzle," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 30-40, January.
    15. Kelly Burns, 2016. "A Reconsideration of the Meese-Rogoff Puzzle: An Alternative Approach to Model Estimation and Forecast Evaluation," Multinational Finance Journal, Multinational Finance Journal, vol. 20(1), pages 41-83, March.
    16. Mr. Jaewoo Lee & Mr. H. Takizawa & Mr. David Hauner, 2011. "In Which Exchange Rate Models Do Forecasters Trust?," IMF Working Papers 2011/116, International Monetary Fund.
    17. Gaglianone, Wagner Piazza & Marins, Jaqueline Terra Moura, 2017. "Evaluation of exchange rate point and density forecasts: An application to Brazil," International Journal of Forecasting, Elsevier, vol. 33(3), pages 707-728.
    18. Kelly Burns & Imad Moosa, 2017. "Demystifying the Meese–Rogoff puzzle: structural breaks or measures of forecasting accuracy?," Applied Economics, Taylor & Francis Journals, vol. 49(48), pages 4897-4910, October.
    19. Gürkaynak, Refet S. & Kısacıkoğlu, Burçin & Lee, Sang Seok, 2022. "Exchange rate and inflation under weak monetary policy: Turkey verifies theory," CFS Working Paper Series 679, Center for Financial Studies (CFS).
    20. 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.

    More about this item

    Keywords

    Forecasting; Purchasing power parity; Exchange rates; Inflation expectations. JEL classification: C22; F30.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:ira:wpaper:201918. 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: Alicia García (email available below). General contact details of provider: https://edirc.repec.org/data/feubaes.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.