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An analysis of the true notional bond system applied to the CBOT T-bond futures

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  • Ben-Abdallah, Ramzi
  • Ben-Ameur, Hatem
  • Breton, Michèle

Abstract

The conversion factor system (CFS) is used in the determination of the invoice price of the Chicago Board of Trade Treasury-bond futures. As an alternative to the CFS, Oviedo [Oviedo, R.A., 2006. Improving the design of Treasury-Bond futures contracts. The Journal of Business 79, 1293-1315] proposed the True Notional Bond System (TNBS), and showed that it outperforms the CFS when interest rates are deterministic. The main purpose of this paper is to compare the effectiveness of the two systems in a stochastic environment. In order to do so, we price the CBOT T-bond futures as well as all its embedded delivery options under both the CFS and the TNBS. Our pricing procedure is an adaptation of the Dynamic Programming algorithm described in Ben-Abdallah et al. [Ben-Abdallah, R., Ben-Ameur, H., Breton, M., 2007. Pricing CBOT Treasury Bond futures. Les Cahiers du GERAD G-2006-77]. Numerical illustrations show that, in a stochastic framework, TNBS does not always outperform the CFS. However, as the long-term mean moves away from the level of the notional rate, the TNBS performs increasingly better than the CFS.

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  • Ben-Abdallah, Ramzi & Ben-Ameur, Hatem & Breton, Michèle, 2009. "An analysis of the true notional bond system applied to the CBOT T-bond futures," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 534-545, March.
  • Handle: RePEc:eee:jbfina:v:33:y:2009:i:3:p:534-545
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    1. Wolfgang Schulte & Roberto Violi, 2002. "Interactions between cash and derivatives bond markets: some evidence for the euro area," BIS Papers chapters, in: Bank for International Settlements (ed.), Market functioning and central bank policy, volume 12, pages 222-267, Bank for International Settlements.
    2. 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..
    3. Lien, Donald & Yang, Li, 2008. "Asymmetric effect of basis on dynamic futures hedging: Empirical evidence from commodity markets," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 187-198, February.
    4. Duong, Huu Nhan & Kalev, Petko S., 2008. "The Samuelson hypothesis in futures markets: An analysis using intraday data," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 489-500, April.
    5. Jankowitsch, Rainer & Pullirsch, Rainer & Veza, Tanja, 2008. "The delivery option in credit default swaps," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1269-1285, July.
    6. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    7. Hull, John & White, Alan, 1990. "Pricing Interest-Rate-Derivative Securities," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 573-592.
    8. Rodolfo Oviedo, 2006. "Improving the Design of Treasury Bond Futures Contracts," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1293-1316, May.
    9. Giannopoulos, Kostas, 2008. "Nonparametric, conditional pricing of higher order multivariate contingent claims," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1907-1915, September.
    10. 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.
    11. Merrick, John Jr & Naik, Narayan Y. & Yadav, Pradeep K., 2005. "Strategic trading behavior and price distortion in a manipulated market: anatomy of a squeeze," Journal of Financial Economics, Elsevier, vol. 77(1), pages 171-218, July.
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    Cited by:

    1. Ramzi Ben-Abdallah & Michèle Breton, 2017. "An ex-post analysis of the CME Group’s solution to the 5-year gap issue," Applied Economics, Taylor & Francis Journals, vol. 49(60), pages 5992-6002, December.
    2. Michèle Breton & Ramzi Ben‐Abdallah, 2018. "Time is money: An empirical investigation of delivery behavior in the U.S. T‐Bond futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 22-37, January.

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