Forecasting of interest rate series
Abstract (Summary)
In this paper we give a mathematical frame for interest rate series and an evaluation procedure for forecasting interest rate series as
autoprojection. The mathematical frame is a random system with complete connections and the forecasting procedure a combination of
Fourier polynomials and and an AR(3) target function, whose parameters are estimated by the method of conditional least squares, as
described in the paper by Klimko and Nelson (1978). The precision of our results are very promising, compared with traditional
approaches
Bibliographical Information:
Advisor:Ulrich Herkenrath
School:Universität Duisburg-Essen, Standort Essen
School Location:Germany
Source Type:Master's Thesis
Keywords:mathematik gerhard mercator universitaet
ISBN:
Date of Publication:05/24/2002