Dear Stata members
I would like to do a correlation analysis with some lag values and -estpost correlate- command is not allowing me. See the following example and Stata output

Code:
clear
input float(nw_ta_w ncfo_ta_w nsales_ta_w sgrowth_w epu gdpgrowthannual)
 .4019108            .   .23471336            . 4.08252 7.92294
 .7736356            .    .6010075            . 4.73533 5.24134
 .8142944            .    .6521608     .2059235 5.20827 5.45636
 .8879426            .    .5413118   -.16056538 5.14044 6.38611
 .9125854    .10410397    .3679891   -.25752136 4.76683 7.41023
 .8879166    .20576502    .3546519    .02453534 4.59869 7.99625
 .9008306   -.04165618    .3015354   -.13062409 4.24885 8.25631
 .8642498    .20234244   .25131065            . 4.13127 6.11959
 .8552278  -.013739946   .10154156    -.5965379 4.03485 5.02387
 .3254392    .02264151    .6785946            . 4.08252 7.92294
.26757336    .09763779    .8091625    .08379676 4.27638 7.92343
.27177277     .0724189    .9003904     .1834749 3.86614 8.06073
.28115016    .07324577    1.028399     .2992973 4.00362 7.66082
.29067865     .0705233   1.0913737     .2286274 4.27017  3.0867
 .2958526  .0011566423   1.1359055    .28760064 4.95791 7.86189
.26267603    .02064785   1.1164993     .2860571 4.61611 8.49758
.22477573   .037042636   1.1842557     .3289221 4.73533 5.24134
 .2258242    .04627158   1.0306907    .11762699 5.20827 5.45636
.23978047    .14465947    .9813608    .04851121 5.14044 6.38611
.23200424    .07204539     .900583    .04909934 4.76683 7.41023
 .2118366    .07435103    .9473828    .07889085 4.59869 7.99625
.25135386    .05508183    .9988032   .071100876 4.24885 8.25631
 .3203966    .14464413    .9750096    .06937658 4.33206 7.04382
 .3460236     .1310421   1.0097146    .07725708 4.13127 6.11959
  .380552    .11390536   1.0912343     .1339678 4.03485 5.02387
.06603773            .    .8962264            . 4.00362 7.66082
.13033709            .   1.1235955     4.263158 4.27017  3.0867
.15769944   -.05565863   1.7254174          .86 4.95791 7.86189
 .4950419   -.09610984    1.197559      .688172 4.61611 8.49758
 .2573244   -.14789976   1.1595483    1.0923567 4.73533 5.24134
 .2329354    .06978879    .9292929   -.07579907 5.20827 5.45636
 .2398548     .0752227    .9056417   -.09584982 5.14044 6.38611
.26362625    .04746014    .7960697   -.21785066 4.76683 7.41023
 .3291477     .1605784    .9817352    .20167677 4.59869 7.99625
 .3622575     .2835979    .8606702   -.05426357 4.24885 8.25631
 .5888998   -.08497053    .7937132     .3245902 4.33206 7.04382
 .6247299    .13565426    .8945978     .1528465 4.13127 6.11959
 .5465875    .02354105    .8195845    .11191621 4.03485 5.02387
 .9482758   -.50208783    .6465517            . 4.95791 7.86189
 .3243243   -.50208783    1.358108         1.68 4.61611 8.49758
.02857143            .   .17142856            . 4.08252 7.92294
      .75            .   .27272728            . 4.08252 7.92294
      .78          .12         .14    -.4166667 4.27638 7.92343
 .8050847    .12711865   .18644068    .57142866 3.86614 8.06073
 .8308824            .    .1617647            0 4.00362 7.66082
 .8626373            .   .12087912            . 4.95791 7.86189
 .8708134            .   .10526316            0 4.61611 8.49758
 .8855932            .   .09322034            0 4.73533 5.24134
 .8939394            .   .08333334            0 5.20827 5.45636
 .9146006            .   .06887052            . 4.59869 7.99625
 .6538461            .   .14102565            . 4.95791 7.86189
 .7727273            .    .1060606    -.3636364 4.61611 8.49758
 .9964158            0           .            . 3.86614 8.06073
 .9964176            . .0005117708            . 4.00362 7.66082
 .9964194 .00051150896 .0010230179            1 4.27017  3.0867
 .9964231  .0005109862 .0015329587    .50000006 4.95791 7.86189
 .9970902   .020045264           .            . 4.61611 8.49758
 .9973466 -.0011792453           .            . 4.73533 5.24134
 .8168731   -.44357195           .            . 5.14044 6.38611
 .8312451       .42726           .            . 4.76683 7.41023
  .528989     .3847651    .7779762            . 4.59869 7.99625
 .4645638            .    .7731416     .3001854 4.24885 8.25631
 .5242226   -.09276458    .8288569    .19553304 4.33206 7.04382
 .6938136    .04361578   1.0412152    .21501714 4.13127 6.11959
 .7932748   -.07880124    .9636919   -.12136832 4.03485 5.02387
.23161267   -.07155571   2.0114632            . 4.08252 7.92294
.23011182    .03270788   1.3428866     -.260274 4.27638 7.92343
.21888907    .12565243    1.424702    .24083646 3.86614 8.06073
.18757875  .0038613176    1.224688     .1619683 4.00362 7.66082
.17245334  -.007238274   1.3247807     .4942749 4.27017  3.0867
.24791577    .12508719    1.578171    .05530384 4.95791 7.86189
 .2656589    .24623503   1.4192526    .04724923 4.61611 8.49758
 .2889863    .08492426   1.4083056    .09111918 4.73533 5.24134
.20945455            .   1.0018774     .0910431 5.20827 5.45636
 .2143163            .   1.3749846     .5169491 5.14044 6.38611
.16995522   .025551854   1.3704897    .24989428 4.76683 7.41023
.20217186   .018236006   1.7368168     .3542511 4.59869 7.99625
.21630374   .012581212   1.6364465    .01679161 4.24885 8.25631
.21820386  -.021800505    1.662952    .08165973 4.33206 7.04382
.18525283   .072548404   1.3371363   .063550964 4.13127 6.11959
.23347344    .29729307    1.854948     .2675731 4.03485 5.02387
 .8014832            .   2.2932117            . 4.27017  3.0867
.19936265            .    .9952836     .9422885 4.95791 7.86189
.12073204            .      .55941    .04918036 4.61611 8.49758
 .8531233            .    .4608892            . 4.08252 7.92294
 .9004894            .     .367863    -.4493285 4.27638 7.92343
  .900494            .    .4057869     .2749446 3.86614 8.06073
 .8783855            .    .4662772    .52695656 4.00362 7.66082
 .6870026            .    .4731432     .6252847 4.27017  3.0867
 .8373441   -.02319513   .56132215     .3566924 4.95791 7.86189
 .6510253   .007574358    .5710327     .5965909 4.61611 8.49758
 .4679281    .02777778     .692029     .6683921 4.73533 5.24134
 .4155308    .05326997    .6685007    .03664914 5.20827 5.45636
 .4438489    .07440021    .8270801    .21230827 5.14044 6.38611
 .3790357   .063575596    .7902148   -.14272489 4.76683 7.41023
 .3194603    .05706389    .9881321     .0939525 4.59869 7.99625
     .225    .16996855    1.166195    .22030278 4.24885 8.25631
 .2322548     .1543283   1.2200576   -.02898746 4.33206 7.04382
 .6252952    .03786953    .7343432    .25201333 4.13127 6.11959
 .5405643   -.01978747    .6554049 -.0082067475 4.03485 5.02387
end

Code:
estpost correlate *_w l.epu gdpgrowthannual realinterestrate  ,matrix listwise 
factor-variable and time-series operators not allowed
r(101);

. 
. est store c1
last estimation results not found, nothing to store
r(301);

. 
. esttab * using corrmatr.csv, unstack not noobs compress star(* 0.10 ** 0.05 *** 0.01)
estimation result * not found
r(111);
Is there anyway to circumvent this issue? Or else what is the alternative way to get correlation table with stars based on their respective level of significance in a presentable format?
I will extremely happy if someone could help me in this regard