Reducing the Bias of the Smoothed Log Periodogram Regression for Financial High-Frequency Data
For typical sample sizes occurring in economic and financial applications, the squared bias of estimators for the memory parameter is small relative to the variance. Smoothing is therefore a suitable way to improve the performance in terms of the mean squared error. However, in an analysis of financ...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Econometrics |
Subjects: | |
Online Access: | https://www.mdpi.com/2225-1146/8/4/40 |