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ARIMA
- ARMA
- ARMAX
- Standard and robust variance estimates
- Linear constraints
- Multiplicative seasonal ARIMA
ARCH
- GARCH
- APARCH
- EGARCH
- NARCH
- AARCH
- GJR and more
- ARCH in mean
- Standard and robust variance estimates
- Multiplicative deterministic heteroskedasticity
- Linear constraints
Time-series functions
- String conversion to date: daily, weekly, monthly, quarterly, half-yearly, yearly
- Dates from numeric arguments
- Date literal support
- Periodicity conversion, e.g., daily date to quarter
- Date ranges
Time-series operators
- L, lag
- D, differences
- S#, seasonal lag
Time-series time and date formats
- Default formats for clock-time daily, weekly, monthly, quarterly, half-yearly, yearly
- High-frequency data with millisecond resolution

- User-specified formats
Rolling and recursive estimation
Regression diagnostics
- LM test for ARCH effects
- Breusch–Godfrey LM test for serial correlation
- Durbin alternative test for serial correlation
- Durbin–Watson statistic
Regression with AR(1) disturbances
- White’s method for heteroskedasticity robust variances
- Two-step or iterated methods
- Cochrane–Orcutt, Prais–Winsten, and ARMA/ARIMA estimators
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VAR/SVAR/VECM
- Vector autoregression (VAR)
- Structural vector autoregression (SVAR)
- Vector error-correction models (VECM)
- Impulse–response functions (IRFs)
- Dynamic multipliers

- Forecast-error variance decompositions (FEVD)
- Static and dynamic forecasts
- Diagnostics and tests
- Cointegration tests
- Granger causality tests
- LM tests for residual autocorrelation
- Tests for normality of residuals
- Lag order selection statistics
- Stability analysis using eigenvalues
- Wald lag exclusion statistics
- Graphical and tabular presentations and comparisons of IRFs and FEVDs
- IRF management tools
Time-series smoothers
- Moving average (MA)
- Single exponential
- Double exponential
- Holt–Winters nonseasonal exponential
- Holt–Winters seasonal exponential
- Nonlinear
- Forecasting and smoothing
Graphs and tables
- Autocorrelations and partial correlations
- Cross-correlations
- Cumulative sample spectral density
- Periodograms
- Line plots
- Range plot with lines
Tests for white noise
- Portmanteau’s test
- Bartlett’s periodogram test
Tests for unit roots
- Dickey–Fuller
- Modified Dickey–Fuller t test proposed by Elliott, Rothenberg, and Stock
- Augmented Dickey–Fuller test
- Phillips–Perron
Support for Haver Analytics database
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