Least Squares Estimators for Unit Root Processes with Locally Stationary Disturbance
The random walk is used as a model expressing equitableness and the effectiveness of various finance phenomena. Random walk is included in unit root process which is a class of nonstationary processes. Due to its nonstationarity, the least squares estimator (LSE) of random walk does not satisfy asym...
Main Authors: | Junichi Hirukawa, Mako Sadakata |
---|---|
Format: | Article |
Language: | English |
Published: |
Asia University
2012-01-01
|
Series: | Advances in Decision Sciences |
Online Access: | http://dx.doi.org/10.1155/2012/893497 |
Similar Items
-
On the Causality between Multiple Locally Stationary Processes
by: Junichi Hirukawa
Published: (2012-01-01) -
Large-Deviation Results for Discriminant Statistics of Gaussian Locally Stationary Processes
by: Junichi Hirukawa
Published: (2012-01-01) -
A unit root test based on the modified least squares estimator
by: Wararit Panichkitkosolkul
Published: (2014) -
Implementation of direction of arrival estimator on least square-root algorithm
by: CHUANG MENG CHIEH, et al.
Published: (2004) -
Design and Implementation of Acoustic Direction-of-Arrival Estimator on Least Square-Root Algorithm
by: Hong Kee Lu, et al.
Published: (2000)