Asymptotic distribution of the estimated parameters of an ARMA(p,q) process in the presence of explosive roots
Sugata Sen Roy; Sankha Bhattacharya
Applicationes Mathematicae (2012)
- Volume: 39, Issue: 3, page 257-272
- ISSN: 1233-7234
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topSugata Sen Roy, and Sankha Bhattacharya. "Asymptotic distribution of the estimated parameters of an ARMA(p,q) process in the presence of explosive roots." Applicationes Mathematicae 39.3 (2012): 257-272. <http://eudml.org/doc/279881>.
@article{SugataSenRoy2012,
abstract = {We consider an autoregressive moving average process of order (p,q)(ARMA(p,q)) with stationary, white noise error variables having uniformly bounded fourth order moments. The characteristic polynomials of both the autoregressive and moving average components involve stable and explosive roots. The autoregressive parameters are estimated by using the instrumental variable technique while the moving average parameters are estimated through a derived autoregressive process using the same sample. The asymptotic distribution of the estimators is then derived.},
author = {Sugata Sen Roy, Sankha Bhattacharya},
journal = {Applicationes Mathematicae},
keywords = {ARMA process; explosive roots; asymptotic distribution},
language = {eng},
number = {3},
pages = {257-272},
title = {Asymptotic distribution of the estimated parameters of an ARMA(p,q) process in the presence of explosive roots},
url = {http://eudml.org/doc/279881},
volume = {39},
year = {2012},
}
TY - JOUR
AU - Sugata Sen Roy
AU - Sankha Bhattacharya
TI - Asymptotic distribution of the estimated parameters of an ARMA(p,q) process in the presence of explosive roots
JO - Applicationes Mathematicae
PY - 2012
VL - 39
IS - 3
SP - 257
EP - 272
AB - We consider an autoregressive moving average process of order (p,q)(ARMA(p,q)) with stationary, white noise error variables having uniformly bounded fourth order moments. The characteristic polynomials of both the autoregressive and moving average components involve stable and explosive roots. The autoregressive parameters are estimated by using the instrumental variable technique while the moving average parameters are estimated through a derived autoregressive process using the same sample. The asymptotic distribution of the estimators is then derived.
LA - eng
KW - ARMA process; explosive roots; asymptotic distribution
UR - http://eudml.org/doc/279881
ER -
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