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Tests for asymmetry in possibly nonstationary time series data
Dong Wan Shin
, Oesook Lee
Department of Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
32
Scopus citations
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Dive into the research topics of 'Tests for asymmetry in possibly nonstationary time series data'. Together they form a unique fingerprint.
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Mathematics
Non-stationary Time Series
100%
Time Series Data
84%
Asymmetry
79%
Ordinary Least Squares Estimator
39%
Adjustment
30%
Nonstationarity
26%
Wald Test
26%
Chi-squared
24%
Stationarity
21%
Threshold Autoregressive Model
15%
Stationary Time Series
12%
Instrumental Variables
12%
Interest Rates
12%
Estimator
11%
t-test
11%
Monte Carlo Study
11%
Momentum
9%
Biased
9%
Monte Carlo Simulation
8%
Random walk
8%
Evidence
8%
Alternatives
6%
Business & Economics
Non-stationary Time Series
99%
Asymmetry
68%
Time Series Data
66%
Least Squares Estimator
37%
Nonstationarity
37%
Ordinary Least Squares
28%
Wald Test
26%
Data Generating Process
24%
Stationarity
22%
Monte Carlo Simulation
15%
Stationary Time Series
15%
Interest Rates
14%
Threshold Autoregressive Model
13%
Asymmetric Adjustment
13%
Instrumental Variables Estimator
13%
Monte Carlo Study
11%
Random Walk
10%
T-test
10%
Momentum
9%
Estimator
7%
Alternatives
4%
Social Sciences
time series
74%
asymmetry
70%
interest rate
9%
simulation
5%
evidence
2%