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Exchange rates and commodity prices: measuring causality at multiple horizons

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  • Hui Jun Zhang
  • Jean-Marie Dufour

    ()

  • John Galbraith

    ()

Abstract

Understanding and measuring the relative roles of different causal channels between commodity prices and exchange rates has important implications in financial decision making, especially for market participants with short horizons. From a macroeconomic perspective, this can also be useful for interpreting exchange rate movements, financial market monitoring and monetary policy. Basic economic reasoning on currency demand suggests that the currencies of countries whose exports depend heavily on a particular commodity should be strongly influenced by its price, so commodity price movements should lead (Granger-cause) exchange rate movements (macroeconomic/trade mechanism). In contrast, the present value model of forward-looking exchange rates suggests reverse causation, i.e. exchange rates should Granger-cause commodity prices (expectations mechanism). We examine empirically the causal relationship between commodity prices and exchange rates, using data on three commodities (crude oil, gold, copper) and three countries (Canada, Australia, Chile), over the period 2000-2009. To go beyond pure significance tests of non-causality and to provide a relatively complete picture of the links, measures of the strength of causality for different horizons and directions are estimated and compared. Since low-frequency data may easily fail to capture important features of the relevant causal links in volatile financial markets – such as foreign exchange and commodity markets – high-frequency (daily and 5-minute) data are exploited. Both unconditional and conditional (given general stock market conditions) causality measures are considered, and allowance for “dollar effects” is made by considering non-U.S. dollar variables. We identify clear causal patterns: (1) Granger causality between commodity prices and exchange rates is visible in both directions; (2) it is stronger at short horizons, and becomes weaker as the horizon increases; (3) causality from commodity prices to exchange rates is stronger than causality in the reverse direction across multiple horizons: the ratios of causality measures in two different directions can be quite high (for example, as high as 5 or 10 in favor of causation from commodity prices to exchange rates), especially at short horizons; (4) eliminating dollar effects weakens causality from exchange rates to commodity prices, and reveals a more definite pattern where causality from commodity prices to exchange rates dominates across multiple horizons. In contrast with earlier results on the non-predictability of exchange rates, we find that the macroeconomic/trade-based mechanism plays a central role in exchange rate dynamics, despite the financial features of these markets.

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Paper provided by CIRANO in its series CIRANO Working Papers with number 2013s-39.

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Date of creation: 01 Oct 2013
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Handle: RePEc:cir:cirwor:2013s-39

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Keywords: multi-horizon causality; causality measures; commodity prices; exchange rates; stock prices; high-frequency data; spurious causality; financial markets;

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  1. Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  2. Yu-Chin Chen & Kenneth Rogoff & Barbara Rossi, 2008. "Can Exchange Rates Forecast Commodity Prices?," NBER Working Papers 13901, National Bureau of Economic Research, Inc.
  3. Domenico Ferraro & Ken Rogoff & Barbara Rossi, 2011. "Can oil prices forecast exchange rates?," Working Papers 11-34, Federal Reserve Bank of Philadelphia.
  4. Chen, Yu-chin & Rogoff, Kenneth, 2003. "Commodity currencies," Journal of International Economics, Elsevier, vol. 60(1), pages 133-160, May.
  5. Cheung, Yin-Wong & Chinn, Menzie & Garcia Pascual, Antonio, 2003. "Empirical Exchange Rate Models of the Nineties: Are Any Fit to Survive?," Santa Cruz Center for International Economics, Working Paper Series qt5fc508pt, Center for International Economics, UC Santa Cruz.
  6. DUFOUR, Jean-Marie & PELLETIER, Denis & RENAULT, Éric, 2003. "Short run and long run causality in time series: Inference," Cahiers de recherche 2003-16, Universite de Montreal, Departement de sciences economiques.
  7. Kilian, Lutz & Taylor, Mark P, 2001. "Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates?," CEPR Discussion Papers 3024, C.E.P.R. Discussion Papers.
  8. Kilian, Lutz, 2006. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," CEPR Discussion Papers 5994, C.E.P.R. Discussion Papers.
  9. Robert A. Amano & Simon van Norden, 1995. "Exchange Rates and Oil Prices," International Finance 9509001, EconWPA.
  10. Kilian, Lutz, 2007. "The Economic Effects of Energy Price Shocks," CEPR Discussion Papers 6559, C.E.P.R. Discussion Papers.
  11. Dufour, J.M. & Renault, E., 1995. "Short-Run and Long-Rub Causality in Time Series: Theory," Cahiers de recherche 9538, Universite de Montreal, Departement de sciences economiques.
  12. Barbara Rossi, 2013. "Exchange Rate Predictability," Working Papers 690, Barcelona Graduate School of Economics.
  13. Robert A. Amano & Simon van Norden, 1995. "Oil Prices and the Rise and Fall of the U.S. Real Exchange Rate," International Finance 9502001, EconWPA.
  14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  15. Cashin, Paul & Cespedes, Luis F. & Sahay, Ratna, 2004. "Commodity currencies and the real exchange rate," Journal of Development Economics, Elsevier, vol. 75(1), pages 239-268, October.
  16. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-86, April.
  17. SILVESTRINI, Andrea & VEREDAS, David, . "Temporal aggregation of univariate and multivariate time series models: A survey," CORE Discussion Papers RP -2013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  18. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
  19. Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
  20. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," University of California at Los Angeles, Anderson Graduate School of Management qt9mf223rs, Anderson Graduate School of Management, UCLA.
  21. Marcellino, Massimiliano, 1999. "Some Consequences of Temporal Aggregation in Empirical Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 129-36, January.
  22. Jean‐Thomas Bernard & Jean‐Marie Dufour & Lynda Khalaf & Maral Kichian, 2012. "An identification‐robust test for time‐varying parameters in the dynamics of energy prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(4), pages 603-624, 06.
  23. Dufour, Jean-Marie & Taamouti, Abderrahim, 2010. "Short and long run causality measures: Theory and inference," Journal of Econometrics, Elsevier, vol. 154(1), pages 42-58, January.
  24. Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
  25. Maurice Obstfeld & Kenneth S. Rogoff, 1996. "Foundations of International Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262150476, December.
  26. Tabak, Benjamin M. & Cajueiro, Daniel O., 2007. "Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility," Energy Economics, Elsevier, vol. 29(1), pages 28-36, January.
  27. Amano, Robert A. & van Norden, Simon, 1995. "Terms of trade and real exchange rates: the Canadian evidence," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 83-104, February.
  28. Christian M. Hafner, 2009. "Causality and forecasting in temporally aggregated multivariate GARCH processes," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 127-146, 03.
  29. Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
  30. Kilian, Lutz & Park, Cheolbeom, 2007. "The Impact of Oil Price Shocks on the U.S. Stock Market," CEPR Discussion Papers 6166, C.E.P.R. Discussion Papers.
  31. Shiu-Sheng Chen, 2005. "A note on in-sample and out-of-sample tests for Granger causality," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(6), pages 453-464.
  32. Lewis, Richard & Reinsel, Gregory C., 1985. "Prediction of multivariate time series by autoregressive model fitting," Journal of Multivariate Analysis, Elsevier, vol. 16(3), pages 393-411, June.
  33. Robert S. Pindyck, 2001. "The Dynamics of Commodity Spot and Futures Markets: A Primer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-30.
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