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Is convexity efficiently priced? Evidence from international swap markets

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  • Rebonato, Riccardo
  • Ronzani, Riccardo
Abstract
While it is widely claimed in the literature that convexity is correctly priced, we find evidence in four major swap markets that this is the case only on average and that extended periods occur when convexity-based trading strategies offer economically very significant exceptional returns. These abnormal returns can be reaped with fully no-peek-ahead strategies and after accounting for transaction costs. We find a strong link between the periods of highest profitability and conditions of reduced market liquidity. This suggests that, as observed in recent liquidity studies on US Treasuries, temporary deviations from market efficiency at the long end of the swap curve occur when pseudo-arbitrageurs do not have sufficient capital to correct the mispricings.

Suggested Citation

  • Rebonato, Riccardo & Ronzani, Riccardo, 2021. "Is convexity efficiently priced? Evidence from international swap markets," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 392-413.
  • Handle: RePEc:eee:empfin:v:63:y:2021:i:c:p:392-413
    DOI: 10.1016/j.jempfin.2021.07.011
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    1. Daniel L. Thornton & Giorgio Valente, 2012. "Out-of-Sample Predictions of Bond Excess Returns and Forward Rates: An Asset Allocation Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 25(10), pages 3141-3168.
    2. Jean-Pierre Fouque & George Papanicolaou & K. Ronnie Sircar, 2000. "Mean-Reverting Stochastic Volatility," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 101-142.
    3. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 5, pages 129-164, World Scientific Publishing Co. Pte. Ltd..
    4. Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740.
    5. Gupta, Anurag & Subrahmanyam, Marti G., 2000. "An empirical examination of the convexity bias in the pricing of interest rate swaps," Journal of Financial Economics, Elsevier, vol. 55(2), pages 239-279, February.
    6. Gurkaynak, Refet S. & Sack, Brian & Wright, Jonathan H., 2007. "The U.S. Treasury yield curve: 1961 to the present," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2291-2304, November.
    7. John Schoenmakers & Brian Coffey, 2003. "Systematic Generation of Parametric Correlation Structures for the LIBOR Market Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(05), pages 507-519.
    8. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    9. Jonathan Ingersoll & Ivo Welch, 2007. "Portfolio Performance Manipulation and Manipulation-proof Performance Measures," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1503-1546, 2007 17.
    10. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    11. Graham Elliott & Allan Timmermann, 2016. "Forecasting in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 81-110, October.
    12. Vasicek, Oldrich Alfonso, 1977. "Abstract: An Equilibrium Characterization of the Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 627-627, November.
    13. Anna Cieslak & Pavol Povala, 2016. "Information in the Term Structure of Yield Curve Volatility," Journal of Finance, American Finance Association, vol. 71(3), pages 1393-1436, June.
    14. Kessler, Stephan & Scherer, Bernd, 2009. "Varying risk premia in international bond markets," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1361-1375, August.
    15. Anna Cieslak & Pavol Povala, 2015. "Expected Returns in Treasury Bonds," The Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2859-2901.
    16. Hull, John & White, Alan, 1990. "Pricing Interest-Rate-Derivative Securities," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 573-592.
    17. Riccardo Rebonato & Vladislav Putyatin, 2018. "The value of convexity: a theoretical and empirical investigation," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 11-30, January.
    18. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    19. Alan Moreira & Tyler Muir, 2017. "Volatility-Managed Portfolios," Journal of Finance, American Finance Association, vol. 72(4), pages 1611-1644, August.
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    Cited by:

    1. Realdon, Marco, 2024. "The efficiency of the Estr overnight index swap market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).

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    More about this item

    Keywords

    Convexity; Term structure modelling; Swap market; Principal components;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services

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