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Co-movement of Index linked bonds and conventional bonds in France: Subprime crisis and Structural Break, 2003-01, 2012-04

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  • Benlagha, N.

Abstract

This paper investigates the existence of arbitrage between index linked bonds and conventional ones. Then in a second part we move to study empirically the long-run equilibrium relationship among two French bonds yields (The OAT yields and OATi ). In practice we estimated different VAR-based cointegration tests using the methodology developed in Johansen (1991, 1995). We also move to discuss the presence of a structural break due to the subprime crisis. So, we can reach two main results: First, the cointegration test indicates the existence of a long run relationship between the OAT and OATi return, and then the co-movement of this latter is confirmed, a result which I believe to be important to understand the bond market’s mechanism. Second, the structural break test shows the presence of structural change in the relation between the two types of bonds. This structural break is due to an increase of volatility in the OAT and OATi returns in the subprime crisis period.

Suggested Citation

  • Benlagha, N., 2013. "Co-movement of Index linked bonds and conventional bonds in France: Subprime crisis and Structural Break, 2003-01, 2012-04," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(1), pages 55-66.
  • Handle: RePEc:eaa:aeinde:v:13:y:2013:i:1_5
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    References listed on IDEAS

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    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Andreas Reschreiter, 2010. "Indexed bonds and revisions of inflation expectations," Annals of Finance, Springer, vol. 6(4), pages 537-554, October.
    3. Breedon, Francis, 2012. "A variance decomposition of index-linked bond returns," Economics Letters, Elsevier, vol. 116(1), pages 49-51.
    4. Kristopher Gerardi & Andreas Lehnert & Shane M. Sherlund & Paul Willen, 2008. "Making Sense of the Subprime Crisis," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(2 (Fall)), pages 69-159.
    5. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
    6. John Y. Campbell & Glen B. Taksler, 2003. "Equity Volatility and Corporate Bond Yields," Journal of Finance, American Finance Association, vol. 58(6), pages 2321-2350, December.
    7. Reschreiter, Andreas, 2004. "Conditional funding costs of inflation-indexed and conventional government bonds," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1299-1318, June.
    8. Jens H. E. Christensen & Jose A. Lopez & Glenn D. Rudebusch, 2010. "Inflation Expectations and Risk Premiums in an Arbitrage-Free Model of Nominal and Real Bond Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 143-178, September.
    9. Mark Deacon & Andrew Derry, 1994. "Deriving Estimates of Inflation Expectations from the Prices of UK Government Bonds," Bank of England working papers 23, Bank of England.
    10. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    11. Campbell, John Y & Ammer, John, 1993. "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
    12. Hansen, Peter Reinhard & Johansen, Soren, 1998. "Workbook on Cointegration," OUP Catalogue, Oxford University Press, number 9780198776079.
    13. Barone, Emilio & Masera, Rainer S., 1996. "Index-linked bonds from an academic, market and policy-making standpoint," Ricerche Economiche, Elsevier, vol. 50(1), pages 1-25, March.
    14. Chernov, Mikhail & Mueller, Philippe, 2012. "The term structure of inflation expectations," Journal of Financial Economics, Elsevier, vol. 106(2), pages 367-394.
    15. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    16. Pesando, James E, 1978. "On the Efficiency of the Bond Market: Some Canadian Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1057-1076, December.
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    More about this item

    Keywords

    Index linked bonds; Cointegration; structural break; subprime crisis.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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