Modelling of stochastic fat-tailed auto-correlated processes: an application to short-term rates
Many financial products sensitive to daily rate changes dictate the importance of adequate modelling of short-term rates. Their intrinsic properties are investigated based on historical market data. A new short-term rate model with the non-Gaussian random driver and auto-correlation factors is introduced. Special calibration procedures for the model are presented. Short-term rate stochastic dynamics are investigated in several numerical experiments.
Year of publication: |
2003
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Authors: | Yashkir, Olga ; Yashkir, Yuri |
Published in: |
Quantitative Finance. - Taylor & Francis Journals, ISSN 1469-7688. - Vol. 3.2003, 3, p. 195-200
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Publisher: |
Taylor & Francis Journals |
Saved in:
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