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Testing for threshold moving average with conditional heteroscedasticity
Guodong LI,
Wai Keung LI
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
›
Articles
›
peer-review
24
Citations (Scopus)
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Dive into the research topics of 'Testing for threshold moving average with conditional heteroscedasticity'. Together they form a unique fingerprint.
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Mathematics
Conditional Heteroscedasticity
100%
Quasi-likelihood
82%
Moving Average
78%
Likelihood Ratio Test
70%
Testing
47%
Moving Average Model
45%
Conditional Variance
43%
GARCH
43%
Asymptotic Power
42%
Local Alternatives
41%
Monte Carlo Experiment
39%
Time Series Models
37%
Necessity
34%
Gaussian Process
32%
Time-varying
32%
Null hypothesis
31%
Time series
29%
Test Statistic
28%
Converge
21%
Demonstrate
20%
Generalise
18%
Generalization
16%
Model
10%
Business & Economics
Quasi-likelihood
98%
Conditional Heteroscedasticity
94%
Likelihood Ratio Test
81%
Moving Average
75%
Testing
56%
Local Alternatives
47%
Gaussian Process
47%
Conditional Variance
38%
Monte Carlo Experiment
38%
Test Statistic
35%
Time Series Models
35%
GARCH
33%
Time-varying
29%