Skip to main navigation
Skip to search
Skip to main content
EdUHK Research Repository Home
About the Repository
Home
Researchers
Research Units
Projects
Research Outputs
Prizes and Awards
KT Activities
Search by expertise, name or affiliation
Least absolute deviation estimation for fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity
Guodong LI,
Wai Keung LI
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
›
Articles
›
peer-review
32
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Least absolute deviation estimation for fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Time Series Model
100%
Conditional Heteroscedasticity
100%
Fractionally Integrated
100%
Least Absolute Deviation Estimation
100%
Autoregressive Moving Average
100%
Copyright
33%
Heavy Tails
33%
Diagnostic Tool
33%
Simulation Experiment
33%
Long Memory
33%
Closing Price
33%
Absolute Returns
33%
Autoregressive Integrated Moving Average (ARIMA)
33%
Second Moment
33%
Portmanteau Test
33%
Asymptotic Normality
33%
Estimation Model
33%
Dow Jones Industrial Average
33%
Modeling Time
33%
Mathematics
Conditionals
100%
Time Series Model
100%
Heteroscedasticity
100%
Autoregressive Integrated Moving Average
100%
Least Absolute Deviation
100%
Heavy Tail
33%
Asymptotic Normality
33%
Absolute Deviation Estimator
33%
Estimated Model
33%
Autoregressive Integrated Moving Average Model
33%
Time Series Modeling
33%
Economics, Econometrics and Finance
Time Series
100%
ARMA Model
100%