What is number of lags in ADF test?
If you have quarterly data, test up to 4 lags. If you have monthly data test up to 12 lags. If the ADF test comes up with a high tau value and a resulting low p-value, you can reject the null hypothesis that the variable is non-stationary.
Why ADF test is used?
Augmented Dickey Fuller test (ADF Test) is a common statistical test used to test whether a given Time series is stationary or not. It is one of the most commonly used statistical test when it comes to analyzing the stationary of a series.
Why is it important to select optimal lags?
The purpose of choosing optimal lag is to reduce residual correlation. Literature provises various choices such as Akaike, Hannah-Quinn and Schwarz information criteria and Sim’s Likelihood test. At lags 9 through 12, you have no residual correlation so you should start with 12 and use AIC or SIC to select your model.
How to choose the maximum lag length in the ADF test?
I want to perform the ADF test on the daily price of a stock index for 12 years. I used the AIC in the command to choose the optimal number of lags. However, the problem is, I don’t know which number I should set for the maximum lag length.
How to choose the maximum lag length in the augmented Dickey Fuller test?
I have a question regarding how to choose the maximum lag length in the augmented Dickey-Fuller test using the “urca” package in R. I want to perform the ADF test on the daily price of a stock index for 12 years. I used the AIC in the command to choose the optimal number of lags.
How to choose the optimal number of lags?
I used the AIC in the command to choose the optimal number of lags. However, the problem is, I don’t know which number I should set for the maximum lag length. If I set the maximum lag length equal to 1, 75, 100, 250 and 365 respectively, the test statistic is -1.5088, -2.2627, -3.0098, -3.4081 and -3.6462 respectively.
What should be the maximum lag length in Excel?
I searched and found that it is often good to set the maximum lag length as 1 for annual data, 4 for quarterly data and 12 for monthly data (no information on daily data). In this sense, could you please give me any suggestions? (I know it is really silly to use such large numbers as the maximum lag length…)