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A new tight and general bound on return predictability

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  • Potì, Valerio

Abstract

We propose a novel upper bound on the predictability of asset returns. This bound is tighter than the bound proposed by Ross (2005) because it takes into account not only the volatility of the pricing kernel but also the correlation between the pricing kernel and trading strategies that exploit predictability. It is also at least as tight as the bound proposed by Huang and Zhou (2017). We apply our bound to study the predictability of returns on currencies of emerging and developed economies from 1994 to 2016. We find evidence of return predictability in excess of the bound, especially for emerging markets currencies. This implies either market inefficiency or, alternatively, that investors either can become very risk-averse or price currencies using a model radically different from the CAPM. In contrast, the evidence of excess-predictability is much weaker under the wider bound proposed by Ross (2005).

Suggested Citation

  • Potì, Valerio, 2018. "A new tight and general bound on return predictability," Economics Letters, Elsevier, vol. 162(C), pages 140-145.
  • Handle: RePEc:eee:ecolet:v:162:y:2018:i:c:p:140-145
    DOI: 10.1016/j.econlet.2017.11.010
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    References listed on IDEAS

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    1. Zhou, Guofu, 2010. "How much stock return predictability can we expect from an asset pricing model?," Economics Letters, Elsevier, vol. 108(2), pages 184-186, August.
    2. Jennifer Conrad & Robert F. Dittmar & Eric Ghysels, 2013. "Ex Ante Skewness and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 68(1), pages 85-124, February.
    3. John H. Cochrane, 1999. "Portfolio advice of a multifactor world," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 59-78.
    4. Kuang, P. & Schröder, M. & Wang, Q., 2014. "Illusory profitability of technical analysis in emerging foreign exchange markets," International Journal of Forecasting, Elsevier, vol. 30(2), pages 192-205.
    5. Joel M. Vanden, 2006. "Option Coskewness and Capital Asset Pricing," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1279-1320.
    6. Chang, Bo Young & Christoffersen, Peter & Jacobs, Kris, 2013. "Market skewness risk and the cross section of stock returns," Journal of Financial Economics, Elsevier, vol. 107(1), pages 46-68.
    7. Robert F. Dittmar, 2002. "Nonlinear Pricing Kernels, Kurtosis Preference, and Evidence from the Cross Section of Equity Returns," Journal of Finance, American Finance Association, vol. 57(1), pages 369-403, February.
    8. Levich, Richard M. & Potì, Valerio, 2015. "Predictability and ‘good deals’ in currency markets," International Journal of Forecasting, Elsevier, vol. 31(2), pages 454-472.
    9. Potì, Valerio & Siddique, Akhtar, 2013. "What drives currency predictability?," Journal of International Money and Finance, Elsevier, vol. 36(C), pages 86-106.
    10. Hsu, Po-Hsuan & Taylor, Mark P. & Wang, Zigan, 2016. "Technical trading: Is it still beating the foreign exchange market?," Journal of International Economics, Elsevier, vol. 102(C), pages 188-208.
    11. Huang, Dashan & Zhou, Guofu, 2017. "Upper Bounds on Return Predictability," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 401-425, April.
    12. Potì, Valerio & Wang, DengLi, 2010. "The coskewness puzzle," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1827-1838, August.
    13. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
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    Cited by:

    1. Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
    2. Levich, Richard & Conlon, Thomas & Potì, Valerio, 2019. "Measuring excess-predictability of asset returns and market efficiency over time," Economics Letters, Elsevier, vol. 175(C), pages 92-96.
    3. Lioui, Abraham & Poncet, Patrice, 2019. "Long horizon predictability: An asset allocation perspective," European Journal of Operational Research, Elsevier, vol. 278(3), pages 961-975.
    4. Potì, Valerio & Levich, Richard & Conlon, Thomas, 2020. "Predictability and pricing efficiency in forward and spot, developed and emerging currency markets," Journal of International Money and Finance, Elsevier, vol. 107(C).
    5. Lin Liu & Qiguang Chen, 2020. "How to compare market efficiency? The Sharpe ratio based on the ARMA-GARCH forecast," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-21, December.

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    More about this item

    Keywords

    Predictability bounds; Market efficiency; Currency strategies;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange

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