R users,
I am performing an analysis on energy time and crack spreads. Normally I use
a return whenever calculating a correlation. Does it make sense to take a
return when correlating times series which go negative frequently.
For instance if the spread goes from -.5 to -.6, is this a +20% change? What
about when the spread moves from 0 to .5?
Other than cross correlation is there any other statistic in R which may
help to reveal lead/lag relationships?
Thanks in advance,
Neil
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