Bandwidth Choice of Log-periodogram Estimators With Short-term Noise in Long Memory Series
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 shortterm 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.
Bandwidth Choice Log-Periodogram Estimator Short-Term Noise Long Memory
Lu Deng Yingruolan Li
School of Statistics,Central University of Finance and Economics,Beijing, P.R. China, 100081
国际会议
上海
英文
1265-1268
2011-07-26(万方平台首次上网日期,不代表论文的发表时间)