I have a this calculation, as you can see it is doing a calculation on each list, from list 1 to list 4 of the datafile. My problem is that using Mapthread to do this calculation does not work because it does not do it stepwise. Is it possible to do these calculations in one go.
example=datafile[[2 ;;, 1]] is a singe list of stock close price from a period of 500 days, looking like this: sample:
{4.40267, 4.85723, 8.80984, 4.62259, 6.74677, 3.41247, 2.3579, \
1.5767, 8.1023, 0.846309}
xt=Range[20]
In[81]:= d1 = CorrelationFunction[datafile[[2 ;;, 1]], #] & /@ xt
Out[81]= {0.999145, 0.998342, 0.997537, 0.996713, 0.995874, 0.995047, \
0.994209, 0.9934, 0.992535, 0.991635, 0.990724, 0.989826, 0.988893, \
0.98796, 0.987006, 0.986039, 0.985056, 0.984071, 0.983062, 0.982049, \
0.981015, 0.980023, 0.979034, 0.978088, 0.977124, 0.976173, 0.975284, \
0.974368, 0.973422, 0.972492}
In[86]:= d2 = CorrelationFunction[datafile[[2 ;;, 2]], #] & /@ xt
Out[86]= {0.998978, 0.997943, 0.996913, 0.995889, 0.994845, 0.993787, \
0.992737, 0.991701, 0.990673, 0.989631, 0.988578, 0.987528, 0.986518, \
0.985486, 0.984453, 0.983412, 0.982381, 0.981336, 0.98028, 0.97924, \
0.978187, 0.977157, 0.976174, 0.975197, 0.974231, 0.97327, 0.97235, \
0.971439, 0.970547, 0.969652}
In[92]:= d3 = CorrelationFunction[datafile[[2 ;;, 3]], #] & /@ xt
Out[92]= {0.999266, 0.998475, 0.997678, 0.996881, 0.996119, 0.995341, \
0.994551, 0.993777, 0.992971, 0.992156, 0.991314, 0.990456, 0.989605, \
0.988753, 0.98795, 0.98713, 0.986287, 0.985381, 0.984481, 0.983552, \
0.982617, 0.981703, 0.980813, 0.97997, 0.979149, 0.978341, 0.977537, \
0.976723, 0.975906, 0.975078}
In[90]:= d4 = CorrelationFunction[datafile[[2 ;;, 4]], #] & /@ xt
Out[90]= {0.998632, 0.997179, 0.995736, 0.994285, 0.99281, 0.991288, \
0.989771, 0.988194, 0.986626, 0.985064, 0.983506, 0.981978, 0.980482, \
0.978987, 0.977529, 0.976089, 0.974685, 0.973293, 0.971882, 0.970521, \
0.969074, 0.967699, 0.966367, 0.965024, 0.963719, 0.962478, 0.961284, \
0.960064, 0.958861, 0.957659}
datafile
, reproducing your output is cumbersome. $\endgroup$