Abstract
The processes of short-term interest rates generate changes in most market indices, as well as form the basis of determining the value of marketable assets and commercial contracts. They play a special role in calculating the term structure of the yield. Therefore, the development of mathematical models of these processes is extremely interesting for financial analysts and researchers of market issues. There are many versions of change of short-term risk-free interest rates in the framework of the theory of diffusion processes. However, there is still no such model, which would be the basis for building a term structure of yields close to that existing in a real financial market. It is interesting to analyze the existing models in order to clarify features of models in a probabilistic sense in more detail than has been done by their creators and users. Such an analysis will be made here for the family of models used by the authors in three well-known papers [1–3], where they were applied for the fitting of the real time series of yield.
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Medvedev, G. (2016). Probability Properties of Interest Rate Models. In: Dudin, A., Gortsev, A., Nazarov, A., Yakupov, R. (eds) Information Technologies and Mathematical Modelling - Queueing Theory and Applications. ITMM 2016. Communications in Computer and Information Science, vol 638. Springer, Cham. https://doi.org/10.1007/978-3-319-44615-8_20
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DOI: https://doi.org/10.1007/978-3-319-44615-8_20
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