Granger Causality: Lag length selection.

#1
Consider simple G-Causality on two stationary time series vectors, each with 100+ observations. It's daily financial market time series data.

I want to know the current consensus (or nearing consensus) regarding the best method of selecting lag length. A Google search has only revealed some 1984 and 1985 papers. Scholarpedia's entry (http://www.scholarpedia.org/article/Granger_causality#Stationarity) says that it's O.K. to minimise AIC or BIC, but no references were provided for this claim so I don't want to code that up until I get confirmation.

Or is selection based on qualitative reasoning?

Cross posted on stackexchange
 
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