Title :
Bandwidth choice of log-periodogram estimators with short-term noise in long memory series
Author :
Lu Deng ; Yingruolan Li
Author_Institution :
Sch. of Stat., Central Univ. of Finance & Econ., Beijing, China
Abstract :
This paper makes research on two log-periodogram estimators of long memory and takes importance to the short-term noise effects on the bandwidth choice. It turned out that under finite samples, both the short-term and long-term impact on the performance of the log-periodogram estimators. Experiments found that it caused difficulty in choosing an optimum bandwidth with the presence of short-term noise, however, the minimum RMSE criteria is a relatively acceptable choice.
Keywords :
economics; estimation theory; bandwidth choice; log periodogram estimator; long memory series; minimum RMSE criteria; optimum bandwidth; short term noise effects; Bandwidth; Econometrics; Estimation; Mean square error methods; Noise; Robustness; Time series analysis; Bandwidth Choice; Log-Periodogram Estimator; Long Memory; Short-Term Noise;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019756