实验课程内容与学时分配(列表形式):
(i)
derive the properties of stationary and nonstationary time series;
(ii)
apply AR models to analyze financial time series data
(iii)
understand MA, ARMA, and ARIMA models
(iv)
understand and carry out unit root tests;
(v)
appreciate the role of VAR models for both stationary and nonstationary time series processes;
(vi)
critically read applied studies which use the Engle-Granger and Johansen co-integration methodologies;
(vii)
understand and apply (G)ARCH models for dynamic heteroskedastic time series;
(viii)
understand nonlinear time series models
(ix)
familiar with high frequency data analysis in finance
use an econometric software package to apply the above methods to analyze financial time series data
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