Semiparametric Exploration of Long Memory in Stock Prices
New or modified methods for semiparametric analysis of fractional long memory in time series are described and applied to twenty-six stock prices and two stock indices. Evidence is found that some, but not all, of the stocks have long memory, while one of the indices exhibits mean reversion.
Saved in:
Main Authors: | LEE, David K. C., ROBINSON, Peter M. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
1996
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/3363 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4362/viewcontent/SemiparametricExplorationLongMemoryStockPrices_1996.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Nonparametric and Semiparametric Volatility Models: Specification, Estimation, and Testing
by: SU, Liangjun, et al.
Published: (2012) -
Semiparametric Estimator of Time Series Conditional Variance
by: MISHRA, Santosh, et al.
Published: (2010) -
Semiparametric residuals and analysis for a scleroderma clinical trial
by: Li, J.
Published: (2014) -
Semiparametric Estimation in Triangular System Equations with Nonstationarity
by: GAO, Jiti, et al.
Published: (2013) -
Long-Memory in International Stock Market Returns
by: PHOON, Kok Fai, et al.
Published: (1992)