PREDICTION OF FEDERAL FUNDS RATE TIME SERIES
Autor: | H. Nacera, M. Tawfiq Fawzi, O. Hakim |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Advances in Mathematics: Scientific Journal. 11:433-451 |
ISSN: | 1857-8438 1857-8365 |
DOI: | 10.37418/amsj.11.5.2 |
Popis: | In this paper, we will try to adjust the behavior of the US Federal Funds interest rate to a model of autoregressive Levy-stable. We will conduct a series of tests after which it will offer the best model for this data series distributed in time, in this case, a linear model type AR (1) stationary whose distribution i.i.d. innovations would be a stable Lévy law and proceed thereafter to the estimation of nine parameters for this model. |
Databáze: | OpenAIRE |
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