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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. Luboš Pástor & Robert F. Stambaugh, . "Liquidity Risk and Expected Stock Returns," CRSP working papers 531, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  2. Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, EconWPA.
  3. Kilian, Lutz & Taylor, Mark P., 2001. "Why is it so difficult to beat the random walk forecast of exchange rates?," Working Paper Series 0088, European Central Bank.
  4. Cheung, Yin-Wong & Chinn, Menzie David & Garcia Pascual, Antonio, 2003. "Empirical Exchange Rate Models of the Nineties: Are Any Fit to Survive?," Santa Cruz Department of Economics, Working Paper Series qt12z9x4c5, Department of Economics, UC Santa Cruz.
  5. Melvin, Michael & Taylor, Mark P, 2009. "The Crisis in the Foreign Exchange Market," CEPR Discussion Papers 7472, C.E.P.R. Discussion Papers.
  6. 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.
  7. 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.
  8. Cosmin Ilut, 2012. "Ambiguity Aversion: Implications for the Uncovered Interest Rate Parity Puzzle," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 33-65, July.
  9. Yu-chin Chen & Kwok Ping Tsang, 2009. "What Does the Yield Curve Tell Us About Exchange Rate Predictability?," Working Papers e07-15, Virginia Polytechnic Institute and State University, Department of Economics.
  10. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  11. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2008. "Carry Trades and Currency Crashes," NBER Working Papers 14473, National Bureau of Economic Research, Inc.
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Cited by:
  1. Travis J. Berge, 2011. "Forecasting disconnected exchange rates," Research Working Paper RWP 11-12, Federal Reserve Bank of Kansas City.
  2. Travis Berge & Òscar Jordà, 2013. "A chronology of turning points in economic activity: Spain, 1850–2011," SERIEs, Spanish Economic Association, vol. 4(1), pages 1-34, March.
  3. Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.

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