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Currency Carry Trades

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  • Travis Berge
  • �scar Jord�
  • Alan M. Taylor

Abstract

A wave of recent research has studied the predictability of foreign currency returns. A wide variety of forecasting structures have been proposed, including signals such as carry, value, momentum, and the forward curve. Some of these have been explored individually, and others have been used in combination. In this paper we use new econometric tools for binary classification problems to evaluate the merits of a general model encompassing all these signals. We find very strong evidence of forecastability using the full set of signals, both in sample and out-of-sample. This holds true for both an unweighted directional forecast and one weighted by returns. Our preferred model generates economically meaningful returns on a portfolio of nine major currencies versus the U.S. dollar, with favorable Sharpe and skewness characteristics. We also find no relationship between our returns and a conventional set of so-called risk factors.

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File URL: http://www.jstor.org/stable/full/10.1086/658309
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Bibliographic Info

Article provided by University of Chicago Press in its journal NBER International Seminar on Macroeconomics.

Volume (Year): 7 (2011)
Issue (Month): 1 ()
Pages: 357 - 388

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Handle: RePEc:ucp:intsma:doi:10.1086/658309

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  1. Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, EconWPA.
  2. Yu-chin Chen & Kwok Ping Tsang, 2013. "What Does the Yield Curve Tell Us about Exchange Rate Predictability?," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 185-205, March.
  3. 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.
  4. Cosmin Ilut, 2009. "Ambiguity Aversion: Implications For The Uncovered Interest Rate Parity Puzzle," 2009 Meeting Papers 328, Society for Economic Dynamics.
  5. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  6. Kilian, Lutz & Taylor, Mark P., 2003. "Why is it so difficult to beat the random walk forecast of exchange rates?," Journal of International Economics, Elsevier, vol. 60(1), pages 85-107, May.
  7. Michael Melvin & Mark P. Taylor, 2009. "The Crisis in the Foreign Exchange Market," CESifo Working Paper Series 2707, CESifo Group Munich.
  8. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2008. "Carry Trades and Currency Crashes," NBER Working Papers 14473, National Bureau of Economic Research, Inc.
  9. Fisher, Eric O'N., 2006. "The forward premium in a model with heterogeneous prior beliefs," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 48-70, February.
  10. Pástor, Luboš & Stambaugh, Robert F, 2002. "Liquidity Risk and Expected Stock Returns," CEPR Discussion Papers 3494, C.E.P.R. Discussion Papers.
  11. Geert Bekaert & Robert J. Hodrick, 1991. "On Biases in the Measurement of Foreign Exchange Risk Premiums," NBER Working Papers 3861, National Bureau of Economic Research, Inc.
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Cited by:
  1. Travis J. Berge & Òscar Jordà, 2011. "A chronology of turning points in economic activity: Spain 1850-2011," Working Paper Series 2011-28, Federal Reserve Bank of San Francisco.
  2. Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.
  3. Travis J. Berge, 2011. "Forecasting disconnected exchange rates," Research Working Paper RWP 11-12, Federal Reserve Bank of Kansas City.

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