PREDICTION OF FEDERAL FUNDS RATE TIME SERIES

Autor: H. Nacera, M. Tawfiq Fawzi, O. Hakim
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