To: peter n matzke who wrote (43865 ) 5/26/1998 12:07:00 PM From: Stoctrash Read Replies (1) | Respond to of 58727
It's like $3K/month....+ you need a Sun Workstation, etc etc...if you want it on site. I'm trying via the net...should be neat...havent got the PW to work yet so maybe I don't get to try :-(( edit: DAMN...still cannot get it!! ok...finally in... here is a sample: Logical Information Machines, Inc. [Home] [Stocks] [Bonds] [FX] [Agriculture] [Metals] [Energy] [Astrology] [Europe] [Asia] [Today's Idea] [Daily Numbers] [Archive] [Lounge] 4/21/98 Fact: Over the past two weeks, the S&P 500 is virtually unchanged. This seems odd considering that we have seen major international markets like FTSE, NIKKEI, and Dollar-Yen trade with an unusual amount of volatility. Q: Are there any implications for the long term investor when the S&P is steady over a two-week period while various other global markets move dramatically? If so, what S&P groups perform the best/worst over the next year? A: Stocks like Coke, Pepsi and Kimberly Clark help their respective S&P groups (Soft drinks and Household Products respectively) outperform the overall S&P 500. S&P autos are the worst performers against the overall index. Execution Units: Weekly First Value in 1 year LET ATTR theSec = (BEVSOFT / SPX) * 100, (AUTOS / SPX) * 100, (HOUSPRD / SPX) * 100, KMB, KO, PEP SHOW 1: percent_move from today to 3 months later of theSec 2: percent_move from today to 6 months later of theSec 3: percent_move from today to 1 year later of theSec WHEN 2 week percent_move of SPX is less than 0.1 AND 2 week percent_move of SPX is more than -0.1 AND { 1 week percent_move of NIKKEI is less than -4 OR 1 week percent_move of FTSE is less than -3 OR 1 week percent_move of JPY is more than 2 OR 2 week percent_move of DEM is less than -2 OR 1 week percent_move of DJTA is more than 4 OR 2 week percent_move of SI is less than -5 } -------------------------------------------------------------------------------- Let variable values: theSec = (BEVSOFT / SPX) * 100 Date Day _3M _6M _1Y 10/14/1966 Fri 16.0020 21.3445 27.2312 08/13/1971 Fri 13.6740 11.6082 23.2261 06/01/1973 Fri 1.3912 -3.0734 -16.7395 07/15/1977 Fri 10.8431 9.7198 16.2814 10/03/1980 Fri -2.5939 12.4771 19.3492 03/22/1985 Fri 0.6805 3.2547 20.7352 11/21/1986 Fri 7.6860 -2.6173 13.3787 07/29/1988 Fri 15.9137 9.6024 34.8020 06/15/1990 Fri 11.4486 18.7442 15.1213 02/21/1992 Fri 14.4882 13.8506 7.5813 04/15/1994 Fri -5.8334 7.0248 15.8151 08/18/1995 Fri 7.7148 11.2032 26.8229 10/25/1996 Fri 3.0019 5.0148 -12.8905 04/17/1998 Fri NaN NaN NaN Avg 7.2628 9.0887 14.6703 AvgPos 9.3495 11.2586 20.0313 AvgNeg -4.2136 -2.8454 -14.8150 PctPos 84.6154 84.6154 84.6154 PctNeg 15.3846 15.3846 15.3846 Maximum 16.0020 21.3445 34.8020 Minimum -5.8334 -3.0734 -16.7395 StdDev 7.3022 7.2394 14.8460 ZStat 0.9946 1.2554 0.9882 Variance 53.3222 52.4092 220.4024 14 Occurrences Let variable values: theSec = KO Date Day _3M _6M _1Y 06/01/1973 Fri 3.0165 -5.1187 -21.6637 07/15/1977 Fri -3.1544 -10.4098 5.6782 10/03/1980 Fri 2.2641 11.6982 4.9058 03/22/1985 Fri 4.4944 1.4983 54.8689 11/21/1986 Fri 25.0858 9.6220 9.2782 07/29/1988 Fri 11.7264 19.8696 65.4721 06/15/1990 Fri -9.4444 5.5556 24.7222 02/21/1992 Fri 11.8483 8.0569 5.5292 04/15/1994 Fri 7.6190 28.5714 47.6190 08/18/1995 Fri 19.0476 27.7778 64.2857 10/25/1996 Fri 14.5363 18.5464 11.2782 04/17/1998 Fri NaN NaN NaN Avg 7.9127 10.5152 24.7249 AvgPos 11.0710 14.5773 29.3638 AvgNeg -6.2994 -7.7643 -21.6637 PctPos 81.8182 81.8182 90.9091 PctNeg 18.1818 18.1818 9.0909 Maximum 25.0858 28.5714 65.4721 Minimum -9.4444 -10.4098 -21.6637 StdDev 9.9207 12.5397 28.9025 ZStat 0.7976 0.8386 0.8555 Variance 98.4208 157.2447 835.3558 12 Occurrences Let variable values: theSec = PEP Date Day _3M _6M _1Y 06/01/1973 Fri -3.1769 -18.6081 -32.6778 07/15/1977 Fri 3.6269 6.7359 25.3887 10/03/1980 Fri 10.0001 36.4996 29.4998 03/22/1985 Fri 15.0119 14.2856 56.4162 11/21/1986 Fri 19.1963 17.4107 15.1785 07/29/1988 Fri 12.1108 7.9585 66.0901 06/15/1990 Fri 0.3379 5.4054 25.1690 02/21/1992 Fri 11.6279 16.6667 24.0310 04/15/1994 Fri -14.9660 -7.1429 11.5646 08/18/1995 Fri 20.6612 35.5372 38.8430 10/25/1996 Fri 12.9167 6.6667 24.5833 04/17/1998 Fri NaN NaN NaN Avg 7.9406 11.0378 25.8260 AvgPos 11.7211 16.3518 31.6764 AvgNeg -9.0715 -12.8755 -32.6778 PctPos 81.8182 81.8182 90.9091 PctNeg 18.1818 18.1818 9.0909 Maximum 20.6612 36.4996 66.0901 Minimum -14.9660 -18.6081 -32.6778 StdDev 10.5982 16.1852 25.4651 ZStat 0.7492 0.6820 1.0142 Variance 112.3218 261.9603 648.4734 12 Occurrences Let variable values: theSec = (HOUSPRD / SPX) * 100 Date Day _3M _6M _1Y 10/14/1966 Fri -9.5007 -6.5282 -0.2131 08/13/1971 Fri 13.5155 16.2146 23.9451 06/01/1973 Fri 1.9671 2.3505 8.9015 07/15/1977 Fri 5.6470 8.5786 6.2397 10/03/1980 Fri -10.8696 -5.9402 4.7820 03/22/1985 Fri -4.6285 3.5627 12.2952 11/21/1986 Fri 1.9165 8.4725 20.4536 07/29/1988 Fri 11.3480 9.1913 19.7525 06/15/1990 Fri 7.4024 16.8710 -4.6738 02/21/1992 Fri 3.5705 2.2808 -1.4642 04/15/1994 Fri -2.2557 5.4648 9.4661 08/18/1995 Fri 13.0278 8.7364 9.5032 10/25/1996 Fri 3.2919 13.1216 6.4687 04/17/1998 Fri NaN NaN NaN Avg 2.6486 6.3366 8.8813 AvgPos 6.8541 8.6222 12.1808 AvgNeg -6.8136 -6.2342 -2.1170 PctPos 69.2308 84.6154 76.9231 PctNeg 30.7692 15.3846 23.0769 Maximum 13.5155 16.8710 23.9451 Minimum -10.8696 -6.5282 -4.6738 StdDev 7.8672 7.2749 8.6337 ZStat 0.3367 0.8710 1.0287 Variance 61.8922 52.9249 74.5404 14 Occurrences Let variable values: theSec = KMB Date Day _3M _6M _1Y 06/01/1973 Fri -4.9449 -26.9229 -36.2637 07/15/1977 Fri -12.3626 -12.3626 0.5496 10/03/1980 Fri -2.9545 15.4545 11.3638 03/22/1985 Fri 20.7254 24.8705 73.5751 11/21/1986 Fri 35.1682 31.8043 30.5810 07/29/1988 Fri 3.2538 8.0260 12.1475 06/15/1990 Fri 5.9754 15.6415 34.9736 02/21/1992 Fri 13.5802 14.0741 9.1358 04/15/1994 Fri 1.4085 10.0939 -3.5211 08/18/1995 Fri 13.7405 21.3740 20.6107 10/25/1996 Fri 12.0787 11.2360 19.1011 04/17/1998 Fri NaN NaN NaN Avg 7.7881 10.2990 15.6594 AvgPos 13.2413 16.9528 23.5598 AvgNeg -6.7540 -19.6427 -19.8924 PctPos 72.7273 81.8182 81.8182 PctNeg 27.2727 18.1818 18.1818 Maximum 35.1682 31.8043 73.5751 Minimum -12.3626 -26.9229 -36.2637 StdDev 13.2384 16.6491 27.1143 ZStat 0.5883 0.6186 0.5775 Variance 175.2558 277.1937 735.1841 12 Occurrences Let variable values: theSec = (AUTOS / SPX) * 100 Date Day _3M _6M _1Y 10/14/1966 Fri -13.4770 -13.4606 -8.7342 08/13/1971 Fri 6.0549 -0.8869 -10.0073 06/01/1973 Fri -6.7758 -18.6587 -11.3228 07/15/1977 Fri 8.5056 -2.0614 -5.5859 10/03/1980 Fri -20.3426 -5.1275 -10.2229 03/22/1985 Fri -6.9613 -5.6396 7.6117 11/21/1986 Fri 4.8613 15.3460 5.1529 07/29/1988 Fri 0.9937 1.8714 -14.9240 06/15/1990 Fri -12.0546 -27.4894 -22.4859 02/21/1992 Fri 7.5213 2.3196 16.7095 04/15/1994 Fri -1.7671 -13.5056 -23.0769 08/18/1995 Fri -8.7884 -6.5615 -6.8748 10/25/1996 Fri 0.0792 -7.6150 -3.7663 04/17/1998 Fri NaN NaN NaN Avg -3.2424 -6.2669 -6.7328 AvgPos 4.6693 6.5123 9.8247 AvgNeg -10.0238 -10.1006 -11.7001 PctPos 46.1538 23.0769 23.0769 PctNeg 53.8462 76.9231 76.9231 Maximum 8.5056 15.3460 16.7095 Minimum -20.3426 -27.4894 -23.0769 StdDev 8.9862 10.6669 11.3177 ZStat -0.3608 -0.5875 -0.5949 Variance 80.7525 113.7835 128.0897 14 Occurrences Generated by JMIM -------------------------------------------------------------------------------- [Home] [Stocks] [Bonds] [Foreign Exchange] [Agriculture] [Metals] [Energy] [Astrology] [Asia] [Europe] [Today's Idea] [Daily Numbers] [Archive] [Lounge] Copyright c 1998 [Logical Information Machines]. 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