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Currency Carry Trades

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  • Travis J. Berge
  • Òscar Jordà
  • 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.

Suggested Citation

  • Travis J. Berge & Òscar Jordà & Alan M. Taylor, 2010. "Currency Carry Trades," NBER Working Papers 16491, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16491
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    References listed on IDEAS

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    1. Melvin, Michael & Taylor, Mark P., 2009. "The crisis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 28(8), pages 1317-1330, December.
    2. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    3. 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.
    4. 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.
    5. 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.
    6. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    7. 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.
    8. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    9. 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.
    10. Bekaert, Geert & Hodrick, Robert J., 1993. "On biases in the measurement of foreign exchange risk premiums," Journal of International Money and Finance, Elsevier, vol. 12(2), pages 115-138, April.
    11. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2009. "Carry Trades and Currency Crashes," NBER Chapters,in: NBER Macroeconomics Annual 2008, Volume 23, pages 313-347 National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. Travis Berge & Òscar Jordà, 2013. "A chronology of turning points in economic activity: Spain, 1850–2011," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(1), pages 1-34, March.
    2. Accominotti, Olivier & Chambers, David, 2016. "If You're So Smart: John Maynard Keynes and Currency Speculation in the Interwar Years," The Journal of Economic History, Cambridge University Press, vol. 76(02), pages 342-386, June.
    3. Bank for International Settlements, 2015. "Currency carry trades in Latin America," BIS Papers, Bank for International Settlements, number 81.
    4. Anatolyev, Stanislav & Gospodinov, Nikolay & Jamali, Ibrahim & Liu, Xiaochun, 2015. "Foreign exchange predictability during the financial crisis: implications for carry trade profitability," FRB Atlanta Working Paper 2015-6, Federal Reserve Bank of Atlanta.
    5. Ali Shehadeh & Peter Erdos & Youwei Li & Michael Moore, 2016. "US Dollar Carry Trades in the Era of "Cheap Money"," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(5), pages 374-404, October.
    6. Pavel Trunin & Sergey Narkevich, 2013. "Prospects for the Russian Ruble to Become Regional Reserve Currency," Working Papers 118, Gaidar Institute for Economic Policy, revised 2015.
    7. Narkevich, Siarhei & Trunin, Pavel, 2013. "Prospects for the Russian Ruble as a Regional Reserve Currency," Published Papers dok2, Russian Presidential Academy of National Economy and Public Administration.
    8. Sergey Narkevich & Pavel Trunin, 2012. "Reserve Currencies: Factors of Evolution and their Role in the World Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 162P.
    9. Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.
    10. repec:eee:empfin:v:42:y:2017:i:c:p:199-211 is not listed on IDEAS
    11. Travis J. Berge, 2014. "Forecasting Disconnected Exchange Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 713-735, August.

    More about this item

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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