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Statistical analysis of fixed income market

Author

Listed:
  • Massimo Bernaschi
  • Luca Grilli
  • Davide Vergni

Abstract

We present cross and time series analysis of price fluctuations in the U.S. Treasury fixed income market. Bonds have been classified according to a suitable metric based on the correlation among them. The classification shows how the correlation among fixed income securities depends strongly on their maturity. We study also the structure of price fluctuations for single time series.

Suggested Citation

  • Massimo Bernaschi & Luca Grilli & Davide Vergni, 2002. "Statistical analysis of fixed income market," Quaderni DSEMS lg_physa_2002, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    • Handle: RePEc:ufg:qdsems:lg_physa_2002
    DOI: 10.1016/S0378-4371(02)00590-3
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    References listed on IDEAS

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    1. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    2. J.-P. Bouchaud & M. Potters & M. Meyer, 2000. "Apparent multifractality in financial time series," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 13(3), pages 595-599, February.
    3. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
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    Citations

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    Cited by:

    1. Grilli, Luca, 2004. "Long-term fixed income market structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 332(C), pages 441-447.
    2. Aoki, Masanao & Hawkins, Raymond, 2009. "Macroeconomic Relaxation: Adjustment Processes of Hierarchical Economic Structures," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-21.
    3. Ioannis Anagnostou & Tiziano Squartini & Drona Kandhai & Diego Garlaschelli, 2020. "Uncovering the mesoscale structure of the credit default swap market to improve portfolio risk modelling," Papers 2006.03014, arXiv.org, revised Apr 2021.
    4. 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.
    5. Luca Grilli & Angelo Sfrecola, 2005. "A Neural Networks approach to Minority Game," Quaderni DSEMS 13-2005, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    6. N. C. Suganya & G. A. Vijayalakshmi Pai, 2010. "Pareto‐archived evolutionary wavelet network for financial constrained portfolio optimization," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 17(2), pages 59-90, April.

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    More about this item

    Keywords

    Fixed income; clustering; scaling;
    All these keywords.

    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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