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Overnight Index Rate: Model, Calibration, and Simulation

Author

Listed:
  • Yashkir, Yuriy
  • Yashkir, Olga

Abstract

In this study the extended Overnight Index Rate (OIR) model is presented. The fitting function for the probability distribution of the OIR daily returns is based on three different Gaussian distributions which provide modelling of the narrow central peak and the wide fat-tailed component. Calibration algorithm for the model is developed and investigated using the historical OIR data.

Suggested Citation

  • Yashkir, Yuriy & Yashkir, Olga, 2013. "Overnight Index Rate: Model, Calibration, and Simulation," MPRA Paper 47574, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:47574
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    References listed on IDEAS

    as
    1. Das, Sanjiv R., 2002. "The surprise element: jumps in interest rates," Journal of Econometrics, Elsevier, vol. 106(1), pages 27-65, January.
    2. Olga Yashkir & Yuri Yashkir, 2003. "Modelling of stochastic fat-tailed auto-correlated processes: an application to short-term rates," Quantitative Finance, Taylor & Francis Journals, vol. 3(3), pages 195-200.
    3. Yashkir, Olga & Yashkir, Yuriy, 2003. "Modelling of stochastic fat-tailed auto-correlated processes: an application to short-term rates," MPRA Paper 46391, University Library of Munich, Germany.
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    Keywords

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    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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