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Performance Evaluation of Zero Net-Investment Strategies

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  • Òscar Jordà
  • Alan M. Taylor

Abstract

This paper introduces new nonparametric statistical methods to evaluate zero-cost investment strategies. We focus on directional trading strategies, risk-adjusted returns, and the investor's decisions under uncertainty as the core of our analysis. By relying on classification tools with a long tradition in the sciences and biostatistics, we can provide a tighter connection between model-based risk characteristics and the no-arbitrage conditions for market efficiency. Moreover, we extend the methods to multicategorical settings, such as when the investor can sometimes take a neutral position. A variety of inferential procedures are provided, many of which are illustrated with applications to excess equity returns and to currency carry trades.

Suggested Citation

  • Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:17150
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    References listed on IDEAS

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    1. Peter G. Hall & Rob J. Hyndman & Yanan Fan, 2003. "Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves," Monash Econometrics and Business Statistics Working Papers 12/03, Monash University, Department of Econometrics and Business Statistics.
    2. Travis Berge & Òscar Jordà & Alan M. Taylor, 2011. "Currency Carry Trades," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 357-388.
      • Travis Berge & Òscar Jordà & Alan M. Taylor, 2010. "Currency Carry Trades," NBER Chapters,in: NBER International Seminar on Macroeconomics 2010, pages 357-387 National Bureau of Economic Research, Inc.
    3. Alexius, Annika, 2001. "Uncovered Interest Parity Revisited," Review of International Economics, Wiley Blackwell, vol. 9(3), pages 505-517, August.
    4. 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.
    5. Polk, Christopher & Thompson, Samuel & Vuolteenaho, Tuomo, 2006. "Cross-sectional forecasts of the equity premium," Journal of Financial Economics, Elsevier, vol. 81(1), pages 101-141, July.
    6. Bai, Jushan, 1991. "Weak convergence of the sequential empirical processes of residuals in ARMA models," MPRA Paper 32915, University Library of Munich, Germany, revised 06 Jul 1993.
    7. Amit Goyal & Ivo Welch, 2003. "Predicting the Equity Premium with Dividend Ratios," Management Science, INFORMS, vol. 49(5), pages 639-654, May.
    8. 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.
    9. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    10. Anatolyev, Stanislav & Gerko, Alexander, 2005. "A Trading Approach to Testing for Predictability," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 455-461, October.
    11. Elliott, Graham & Lieli, Robert P., 2013. "Predicting binary outcomes," Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
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    13. Jushan Bai, 2003. "Testing Parametric Conditional Distributions of Dynamic Models," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 531-549, August.
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    Citations

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    Cited by:

    1. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2015. "Leveraged bubbles," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 1-20.
    2. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2016. "Sovereigns Versus Banks: Credit, Crises, And Consequences," Journal of the European Economic Association, European Economic Association, vol. 14(1), pages 45-79, February.
    3. Sarlin, Peter, 2013. "On policymakers’ loss functions and the evaluation of early warning systems," Economics Letters, Elsevier, vol. 119(1), pages 1-7.
    4. Jordà, Òscar, 2014. "Assessing the historical role of credit: Business cycles, financial crises and the legacy of Charles S. Peirce," International Journal of Forecasting, Elsevier, vol. 30(3), pages 729-740.
    5. Òscar Jordà & Alan M. Taylor, 2016. "The Time for Austerity: Estimating the Average Treatment Effect of Fiscal Policy," Economic Journal, Royal Economic Society, vol. 126(590), pages 219-255, February.
    6. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2016. "The great mortgaging: housing finance, crises and business cycles," Economic Policy, CEPR;CES;MSH, vol. 31(85), pages 107-152.
    7. Liu, Weiling & Moench, Emanuel, 2016. "What predicts US recessions?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1138-1150.
    8. Knut Are Aastveit & André K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Papers No 8/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. 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.
    10. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2015. "Betting the house," Journal of International Economics, Elsevier, vol. 96(S1), pages 2-18.
      • Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2014. "Betting the House," NBER Chapters,in: NBER International Seminar on Macroeconomics 2014, pages 2-18 National Bureau of Economic Research, Inc.
    11. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
    12. Cesa-Bianchi, Ambrogio & Eguren-Martin, Fernando & Thwaites, Gregory, 2017. "Foreign booms, domestic busts: the global dimension of banking crises," Bank of England working papers 644, Bank of England.
    13. Çakmaklı, Cem & van Dijk, Dick, 2016. "Getting the most out of macroeconomic information for predicting excess stock returns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 650-668.
    14. Karolin Kirschenmann & Tuomas Malinen & Henri Nyberg, 2014. "The risk of financial crises: Is it in real or financial factors?," Working Papers 336, ECINEQ, Society for the Study of Economic Inequality.
    15. Jordà, Òscar & Taylor, Alan M., 2012. "The carry trade and fundamentals: Nothing to fear but FEER itself," Journal of International Economics, Elsevier, vol. 88(1), pages 74-90.
    16. Martínez-García, Enrique & Grossman, Valerie & Mack, Adrienne, 2015. "A contribution to the chronology of turning points in global economic activity (1980–2012)," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 170-185.
    17. Kirschenmann, Karolin & Malinen, Tuomas & Nyberg, Henri, 2016. "The risk of financial crises: Is there a role for income inequality?," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 161-180.
    18. Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
    19. Dick, Christian D. & MacDonald, Ronald & Menkhoff, Lukas, 2011. "Individual exchange rate forecasts and expected fundamentals," ZEW Discussion Papers 11-062, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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