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Statistical characterisation of Fixed Income market efficiency

Author

Listed:
  • Massimo Bernaschi
  • Luca Grilli

  • Livio Marangio
  • Sauro Succi
  • Davide Vergni

Abstract

We present cross and time series analysis of price fluctuations in the U.S. Treasury fixed income market. By means of techniques borrowed from statistical physics we show that the correlation among bonds depends strongly on the maturity and bonds' price increments do not fulfill the random walk hyphoteses.

Suggested Citation

  • Massimo Bernaschi & Luca Grilli & Livio Marangio & Sauro Succi & Davide Vergni, 2000. "Statistical characterisation of Fixed Income market efficiency," Quaderni DSEMS qiac03-2000, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    • Handle: RePEc:ufg:qdsems:qiac03-2000
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    Cited by:

    1. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    2. Tiziana Di Matteo & Tomaso Aste, 2002. "How Does The Eurodollar Interest Rate Behave?," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 107-122.
    3. Bershadskii, A., 2001. "Invasion–percolation and statistics of US Treasury bonds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 300(3), pages 539-550.

    More about this item

    Keywords

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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D49 - Microeconomics - - Market Structure, Pricing, and Design - - - Other

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