Interest rates mapping
| Data(s) |
2008
|
|---|---|
| Resumo |
The present study deals with the analysis and mapping of Swiss franc interest rates. Interest rates depend on time and maturity, defining term structure of the interest rate curves (IRC). In the present study IRC are considered in a two-dimensional feature space - time and maturity. Exploratory data analysis includes a variety of tools widely used in econophysics and geostatistics. Geostatistical models and machine learning algorithms (multilayer perceptron and Support Vector Machines) were applied to produce interest rate maps. IR maps can be used for the visualisation and pattern perception purposes, to develop and to explore economical hypotheses, to produce dynamic asset-liability simulations and for financial risk assessments. The feasibility of an application of interest rates mapping approach for the IRC forecasting is considered as well. (C) 2008 Elsevier B.V. All rights reserved. |
| Identificador |
http://serval.unil.ch/?id=serval:BIB_EC13F1FCADFE doi:10.1016/j.physa.2008.02.069 |
| Idioma(s) |
en |
| Fonte |
Physica A - Statistical Mechanics and its Applications, vol. 387, pp. 3897-3903 |
| Tipo |
info:eu-repo/semantics/article article |