Open AccessGMM Estimation of Continuous-Time Bilinear Processes
Author(s) -
Abdelouahab Bibi,
Fateh Merahi
Publication year - 2020
Publication title -
statistics, optimization and information computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 12
eISSN - 2311-004X
pISSN - 2310-5070
DOI - 10.19139/soic-2310-5070-902
Subject(s) - invariant (physics) , mathematics , generalized method of moments , representation (politics) , bilinear interpolation , lti system theory , monte carlo method , time domain , econometrics , computer science , mathematical analysis , statistics , panel data , mathematical physics , linear system , politics , political science , computer vision , law
This paper examines the moments properties in frequency domain of the class of
first order continuous-timebilinear processes (COBL(1,1) for short) with time-varying (resp. time-invariant) coefficients. So, we used theassociated evolutionary (or time-varying) transfer functions to study the structure of second-order of the process and its powers. In particular, for time-invariant case, an expression of the moments of any order are showed and the continuous-time AR (CAR) representation of COBL(1,1) is given as well as some moments properties of special cases. Based on these results we are able to estimate the unknown parameters involved in model via the so-called generalized method of moments (GMM) illustrated by a Monte Carlo study and applied to modelling two foreign exchange rates of Algerian Dinar against U.S-Dollar (USD/DZD) and against the single European currency Euro (EUR/DZD).