td_f | R Documentation |
Residual Trading Days Test
td_f(
s,
model = c("D1", "DY", "DYD1", "WN", "AIRLINE", "R011", "R100"),
nyears = 0
)
s |
a |
model |
the model to use for the residuals. See details. |
nyears |
|
The function performs a residual seasonality test that is a joint F-Test on the coefficients of trading days regressors. Several specifications can be used on the model:
model = "WN"
the following model is used:
y_t - \bar y =\beta TD_t + \varepsilon_t
model = "D1"
(the default) the following model is used:
\Delta y_t - \overline{\Delta y} =\beta \Delta TD_t + \varepsilon_t
model = "DY"
the following model is used:
\Delta_s y_t - \overline{\Delta_s y} =\beta \Delta_s TD_t + \varepsilon_t
model = "DYD1"
the following model is used:
\Delta_s\Delta y_t - \overline{\Delta_s \Delta y} =\beta \Delta_s \Delta TD_t + \varepsilon_t
model = "AIRLINE"
the following model is used:
y_t =\beta TD_t + \varepsilon_t \text{ with }\varepsilon_t \sim ARIMA(0,1,1)(0,1,1)
model = "R011"
the following model is used:
y_t =\beta TD_t + \varepsilon_t \text{ with }\varepsilon_t \sim ARIMA(0,1,1)
model = "R100"
the following model is used:
y_t =\alpha_0 + \alpha_1 y_{t-1} + \beta TD_t + \varepsilon_t
td_f(ABS$X0.2.09.10.M)
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