Upload
kdas
View
218
Download
0
Embed Size (px)
Citation preview
8/9/2019 2010 DATA 2nd
1/333
MONT WEEK 1
52 Week High---
52 Week Low---
Jan WEEK 1
WEEK 2
WEEK 3
WEEK 4
Feb WEEK 5
spl. trade
WEEK 6
F&Oexpiary--Jan'10#
8/9/2019 2010 DATA 2nd
2/333
WEEK 7
WEEK 8
Rly Budget
Union Budg
Mar WEEK 9
WEEK 10
WEEK 11
-0.10.1
WEEK 12
WEEK 13
WEEK 14
F&Oexpiary--Feb'10#
F&Oexpiary--Mar'10#
8/9/2019 2010 DATA 2nd
3/333
WEEK 15
WEEK 16
UNITECH
RELIANCE
IFCI
ICICIBANK
SUZLON
ISPATIND
DLFTATASTEE
HDIL
SBIN
SATYAMC
RNRL
JPASSOCI
GVKPIL
RELCAPIT
8/9/2019 2010 DATA 2nd
4/333
T-Day of 2DATE
Av of Nifty & Se NIFTY
6440.08 Intra-day open high low clos
1265.47
666.79
12
1 4-Jan Mon 0.57 5173 5238 5173 5232
2 5-Jan 0.81 5277 5288 5259 5277
3 6-Jan Wed 0.07 5291 5310 5260 5281
4 7-JanThu -0.42 5288 5302 5245 5263
5 8-JanFri -0.39 5261 5276 5235 5244
5 9-Jan WEEK 1 109+28=1 5310 5173 5244
6 11-JanMon -0.09 5263 5287 5228 5249
7 12-JanTue -0.67 5295 5300 5201 5210
8 13-Jan Wed 0.47 5202 5239 5170 52339 14-Jan Thu 0.47 5234 5272 5235 5259
10 15-JanFri -0.16 5259 5279 5243 5252
10 16-Jan WEEK 2 56+74=13 5300 5170 5252
11 18-Jan Mon 0.46 5239 5292 5229 5274
12 19-JanTue -0.91 5280 5287 5218 5225
13 20-JanWed -0.08 5234 5256 5202 5221
14 21-JanThur -2.43 5210 5213 5086 5094
15 22-Jan -1.08 5021 5077 4955 5040
15 23-Jan WEEK 3 40+297=33 5292 4955 5040
25-JanMon -0.52 5022 5035 4983 500727-JanWed -3.01 4996 4996 4833 4837
18 28-Jan Thur 0.19 4863 4929 4825 4867
19 29-Jan Fri 0.31 4854 4893 4766 4882
19 30-Jan WEEK 4 5+274=279 5035 4766 4882
19 30-JanJan-10 5310 4766 4882
20 1-Feb Mon 0.18 4855 4918 4828 4899
21 2-Feb Tue -1.31 4912 4951 4815 4830
22 3-Feb Wed 2.08 4850 4949 4850 4931
23 4-Feb Thu -1.69 4926 4926 4833 4845
24 5-Feb Fri -2.64 4815 4815 4693 4718
6-Feb Sat 0.81 4731 4768 4732 4757
24 6-Feb WEEK 5 69+189=25 4951 4693 4757
25 8-Feb Mon 0.09 4761 4799 4676 4760
26 9-Feb Tue 0.68 4758 4810 4740 4792
27 10-FebWed -0.71 4796 4826 4749 4760
28 11-Feb Thur 1.46 4780 4843 4779 4826
Change
Highest5.79 on 4/5/2009
Lowest3.21 on 2/3/2009 3.98 on 27/01/2010
Tue XG
XG
Fri XG
XG(22/01)
n 16
r 17
8/9/2019 2010 DATA 2nd
5/333
28 13-Feb WEEK 6 86+81=167 4843 4676 4826
29 15-FebMon -0.61 4833 4845 4784 4801
30 16-Feb Tue 1.15 4797 4880 4792 4855
31 17-Feb Wed 1.22 4875 4929 4875 4914
32 18-FebThur -0.57 4913 4918 4874 4887
33 19-FebFri -0.86 4861 4877 4806 4844
33 20-Feb WEEK 7 103+42=14 4929 4784 4844
34 22-Feb Mon 0.26 4882 4912 4847 485635 23-Feb Tue 0.29 4848 4884 4834 4870
36 24-FebWed -0.22 4845 4880 4835 4858
37 25-Feb Thur 0.01 4858 4880 4836 4859
38 26-Feb Fri 1.19 4863 4997 4862 4922
39 27-Feb WEEK 8 153+10=16 4997 4834 4922
###
40 2-Mar Tue 2.01 4970 5029 4969 5017
41 3-Mar Wed 1.39 5022 5093 5022 5088
42 4-MarThur -0.16 5093 5093 5049 508043 5-Mar Fri 0.15 5097 5118 5068 5088
43 6-Mar WEEK 9 196+0=19 5118 4969 5088
44 8-Mar Mon 0.67 5127 5147 5111 5124
45 9-MarTue -0.37 5118 5131 5099 5101
47 10-Mar Wed 0.28 5095 5137 5092 5116
48 11-Mar Thur 0.37 5116 5138 5103 5133
49 12-Mar Fri 0.03 5135 5158 5123 5137
49 13-Mar WEEK 10 70+0=70 5158 5092 5137
50 15-MarMon -0.08 5102 5150 5103 5128
51 16-Mar Tue 1.31 5129 5209 5126 519852 17-Mar Wed 0.63 5179 5260 5179 5232
53 18-Mar Thur 0.22 5237 5255 5215 5245
54 19-Mar Fri 0.33 5251 5269 5238 5262
54 20-Mar WEEK 11 132+34=16 5269 5103 5262
55 22-MarMon -1.02 5216 5248 5187 5205
56 23-Mar Tue 0.31 5214 5243 5194 5225
57 25-Mar Thur 0.65 5217 5267 5203 5260
58 26-Mar Fri 0.45 5269 5293 5269 5282
58 27-Mar WEEK 12 31+75=106 5293 5187 5282
59 29-Mar Mon 0.39 5250 5329 5250 530260 30-MarTue -0.72 5308 5325 5252 5262
61 31-MarWed -0.29 5273 5293 5236 5249
179 [166]148 [161]
62 1-Apr Thur 0.86 5259 5298 5259 5290
62 3-Apr WEEK 13 47+46=93 5329 5236 5290
63 5-Apr 1.42 5307 5377 5307 5368
64 6-AprTue -0.01 5377 5388 5352 5366
65 7-Apr Wed 0.16 5371 5399 5345 5374
Mon XG
8/9/2019 2010 DATA 2nd
6/333
66 8-AprThur -1.36 5371 5375 5295 5304
67 9-Apr Fri 1.15 5304 5377 5304 5361
67 WEEK 14 109+0=109 5399 5295 5361.8
68 12-AprMon -0.43 5373 5382 5325 5339
69 13-AprTue -0.24 5340 5352 5302 5322
70 15-AprThur -0.98 5347 5373 5266 5273
71 16-AprFri -0.24 5261 5283 5238 5262
71 17-AprWEEK 15 21+123=14 5382 5238 526272 19-AprMon
139
first rest
172 166
179 156
10
10
9 Listening is such a simple act. It requires us to be pre
6
10
7
59
3
7
9
0
3
5
2
Membership No.050652 NameKUNDU TAPAS , FCA GenderMALE
8/9/2019 2010 DATA 2nd
7/333
e
8/9/2019 2010 DATA 2nd
8/333
8/9/2019 2010 DATA 2nd
9/333
sent, an
Status ACT
8/9/2019 2010 DATA 2nd
10/333
SENSEX
open hi low clo
17473 17582 17379 17558
17726 17729 17637 17686
17719 17790 17637 17701
17701 17733 17567 17615
17603 17658 17509 17540
326+85=4 17790 17379 17540
17724 17776 17501 17526
17534 17612 17393 17422
17368 17528 17277 1750917525 17628 17526 17584
17604 17639 17530 17554
236+263=4 17776 17277 17554
17554 17712 17506 17641
17650 17664 17464 17486
17486 17590 17425 17474
17474 17474 17026 17051
16978.4 17000 16608 16859
158+946=1 17712 16608 16859
16847 16877 16706 1678016708 16708 16231 16289
16317 16524 16182 16306
16253 16390 15982 16358
18+877=89 16877 15982 16358
17790 15982 16358
16339 16422 16161 16356
16368 16525 16130 16163
16210 16552 16211 16496
16500 16508 16189 1622516222 16222 15726 15790
15807 15951 15808 15915
194+632=8 16552 15726 15915
15931 16062 15651 15935
15940 16094 15863 16042
16042 16141 15892 15922
15928 16202 15929 16152
8/9/2019 2010 DATA 2nd
11/333
287+264=5 16202 15651 16152
16186 16227 16012 16038
16042 16310 16022 16226
16229 16480 16229 16428
16421 16452 16288 16327
16256 16301 16075 16191
328+140=4 16480 16012 16191
16191 16423 16192 1623716213 16324 16179 16286
16218 16328 16188 16256
16264 16329 16168 16254
16255 16669 16250 16429
478+23=5 16669 16168 16429
16438 16808 16439 16772
16778 17012 16779 17000
17013 17024 16888 1697216988 17097 16937 16995
668+0=66 17097 16439 16995
17034 17187 17035 17102
17089 17130 17032 17052
17072 17183 17028 17098
17087 17215 17055 17098
17176 17244 17127 17166
249+0=24 17244 17028 17166
17166 17195 17062 17165
17169 17416 17150 1738317389 17576 17390 17490
17492 17548 17418 17519
17531 17600 17503 17578
434+104=5 17600 17062 17578
17481 17559 17338 17410
17422 17530 17357 17451
17458 17575 17384 17558
17558 17682 17559 17644
104+240=3 17682 17338 17644
17640 17793 17640 1771117703 17783 17559 17590
17602 17699 17489 17527
17555 17706 17555 17692
149+155=3 17793 17489 17692
17693 17948 17694 17935
17940 17991 17898 17941
17915 18047 17879 17970
8/9/2019 2010 DATA 2nd
12/333
17950 17960 17696 17714
17716 17971 17716 17933
355+0=35 18047 17694 17933.1
17874 17995 17817 17853
17831 17892 17737 17821
17804 17975 17612 17639
17645 17664 17592 17591
62+341=40 17995 17592 17591
that takes practice, but we don
IVE Address7C KIRAN SANKAR ROY RO
8/9/2019 2010 DATA 2nd
13/333
Jr. NIFTY BSE-midc BSE-smallS&P500 P
e #
1.21 1.61 1.63 0.89 23.64 #
1.51 1.2 0.85 1.11 22.27 #
0.85 0.68 0.44 0.15 22.12 #
-0.82 -0.02 0.67 -0.25 22.51 #
-0.09 0.02 0.44 -0.14 22.57 #
10660.5 6946.1 8697.6 4405.3 22.62 0.
0.78 0.91 1.79 0.62 22.68 #
-1.03 -1.14 -1.14 -0.92 23.08 #
0.54 0.61 0.86 0.54 21.99 #0.91 0.86 1.21 0.79 20.98 #
-0.25 0.31 0.41 0.41 21.08 #
10760.1 7050.4 8970.5 4468.2 21.96 0.
0.48 0.57 0.63 1.03 21.55 #
-0.94 -0.63 -0.56 -1.82 22.34 #
-0.07 -0.27 0.07 -0.35 22.29 #
-2.51 -2.39 -2.47 -2.48 23.51 #
-0.74 -1.09 -1.14 -0.69 24.75 #
10357.6 6783.7 8661.2 4313.3 22.89 0.
-1.77 -1.31 -0.91 -0.75 25.82 #-3.61 -3.98 -5.06 -3.58 28.92 #
1.06 0.24 -0.17 0.29 26.96 #
0.81 1.01 1.19 0.45 26.13 #
9985.7 6509.8 8232.7 4156.1 26.96 0.
9985.7 6509.8 8232.7 4156.1
1.66 1.81 2.72 0.97 25.61 #
-1.08 -1.19 -0.77 -1.38 26.69 #
2.09 1.51 1.06 1.78 25.54 #
-1.89 -1.95 -1.61 -1.72 27.07 #-2.31 -2.61 -3.25 -2.81 30.07 #
1.39 1.41 1.54 1.07 29.22
9961.5 6435.9 8197.9 4066.9 27.37 0.
0.11 -0.09 -0.08 0.01 30.36 #
0.39 0.44 0.44 0.89 29.91 #
-0.22 0.01 0.09 -0.59 30.55 #
0.73 0.78 0.82 1.08 28.81 #
VIX(87.53 h)
8/9/2019 2010 DATA 2nd
14/333
10061.8 6509.7 8303.1 4123.6 29.91 0.
-0.36 -0.56 -0.37 -0.66 29.68 #
0.77 0.63 0.54 0.94 28.73 #
1.05 0.79 0.61 0.89 29.04 #
-0.79 -0.62 -0.41 -0.62 29.76 #
-1.13 -1.41 -1.57 -1.04 31.9 #
10014.8 6432.4 8204.6 4102.7 29.82 0.
-0.66 -0.59 -1.05 -0.21 32.13 #-0.21 -0.59 -0.92 -0.11 30.99 #
0.08 -0.41 -0.61 -0.22 30.41 #
-0.18 -0.39 -0.18 -0.19 29.55 #
1.83 1.47 1.08 1.36 24.02 #
10099.9 6397.8 8067.4 4127.6 29.42 0.
2.04 2.19 2.33 1.57 21.63 #
1.89 1.58 1.29 1.37 20.75 #
1.01 0.78 0.81 0.29 20.98 #0.55 0.62 0.82 0.19 20.74 #
10665.2 6735.5 8499.6 4270.3 21.03 0.
0.36 0.71 1.09 0.41 20.73 #
-0.97 -0.72 -0.71 -0.82 20.81 #
-0.44 -0.13 -0.21 0.03 20.09 #
-0.44 -0.15 -0.49 -0.02 20.14 #
0.03 -0.23 -0.45 0.01 19.73 #
10508.9 6700.9 8432.5 4253.4 20.3 0.
-0.59 -0.74 -0.83 -0.47 20.26 #
0.59 1.08 1.28 0.95 19.59 #0.33 0.17 -0.14 0.71 17.73 #
0.18 0.37 0.06 0.06 17.97 #
0.43 0.07 0.37 0.41 17.75 #
10607.1 6764.1 8494.6 4324.1 18.66 #
-0.89 -1.05 -0.85 -1.05 19.96 #
0.36 0.21 0.31 0.21 18.13 #
0.22 0.12 -0.21 0.15 17.05 #
1.12 0.71 -0.03 0.45 17.89 #
10691.5 6762.4 8427.1 4312.9 0.
0.39 0.25 -0.44 0.19 18.73 #0.22 0.15 0.78 0.18 19.8 #
0.16 0.25 0.49 0 19.87 #
0.52 0.88 2.43 0.74 17.62 #
10829.4 6806.2 8497.4 4345.2 19.01 0.
1.56 1.45 1.97 1.35 17.17 #
0.2 0.68 0.52 0.15 17.2 #
0.35 0.52 0.71 0.33 17.32 #
(Low=17.05)18.26
8/9/2019 2010 DATA 2nd
15/333
0.41 -0.39 -0.38 0.98 19.92 #
0.11 0.91 1.27 0.65 18.77 #
11024.3 70933.1 9063.7 4410.1 18.08 0.
-0.69 -11 0.31 -0.35 20.05 #
0.01 -0.31 -0.06 0.26 20.14 #
-0.42 -0.21 -0.58 -0.55 21.58 #
-0.36 -0.27 -0.19 -0.39 21.78 #
10862.5 9016.8 7023.32 4342.3 20.89 0.
't have to do anything else. We don't have to advise, or coach or so
D AddressNOT APPLICABLE 6TH FLOOR KOLKATA 700001 INDIA COP StatusFUL
8/9/2019 2010 DATA 2nd
16/333
VOLUME $h=52.37
t/Call Amt--Cash Amt--F&OAmt--TotaNumber
21567 33 42562 64129 23435
26823 31 59599 86422 31173
25397 33 52708 78105 27485
23037 30 53422 76459 25410
23958 33 48498 72456 26964
662/0.4409 24156 51358 75514 26893
26675 37 46035 72710 27252
24593 26 69353 93946 28562
23636 24 70896 94532 2791923040 29 56315 79355 26008
22973 32 48909 71882 24267
298/0.3945 24183 58302 82485 26802
22037 27 60226 82263 22679
23214 27 63472 86686 26068
18463 22 65594 84057 23962
24110 18 111119 135229 26545
27111 17 132393 159504 30077
4076/0.3499 22987 86561 109548 25866
18187 16 92203 110390 2352824513 13 158505 183018 34974
25730 13 166193 191923 37360
25066 21 92504 117570 25939
769/0.3328 23374 127351 150725 30450
19550 24 60383 79933 20489
20929 21 79685 100614 22526
18477 19 78757 97234 19509
17537 20 71020 88557 1918218498 17 90466 108964 21288
427/0.3772 18998 20 76062 95060 20599
18817 17 93134 111951 20774
17175 20 67882 85057 17271
18635 18.5 81244 99879 19271
15095 17 73750 88845 16327
8/9/2019 2010 DATA 2nd
17/333
852/0.3659 17744 18.5 78414 96158 18848
13529 18.5 59416 72945 14773
13876 20 64999 78875 15899
17728 17 85124 102852 18808
15844 19.5 64859 80703 18816
15761 14.5 92724 108485 20828
056/0.3749 15348 18 73424 88772 17825
13138 14 81018 94156 1987613996 14.5 82264 96260 20039
16268 15 91298 107566 25512
16062 11.5 122099 138161 27913
23803 17 116982 140785 26335
071/0.3903 16653 14.5 98723 115385 23935
18851 21 70716 89567 18738
20266 23 67620 87886 19142
20558 24.5 63066 83624 2105921069 23.5 69027 90096 23003
045/0.5704 20186 23 67607 87793 20485
20274 25.5 59634 79908 20565
20548 28 52434 72982 18556
17986 21.5 65514 83500 18171
17114 20.5 66223 83337 17219
16607 20.4 64653 81260 16908
447/0.5361 18506 23 61692 80198 18284
14186 18.5 61582 75768 16237
15112 16 79943 95055 1783319365 16.5 98323 117688 21904
19290 20.5 73500 92790 21481
18079 19 75841 93920 21875
17206 18 77838 90544 19866
16862 14 102533 119395 24234
16628 12.5 118690 135318 27224
21928 13.5 136971 158899 35720
18173 24 57814 75987 18113
757/0.5299 18398 16 104002 122400 26323
17241 23 57047 74288 1798917886 23 60223 78109 17448
17146 20.5 66792 83938 16379
17538 25 52924 70462 17741
976/0.4522 17453 23 59246 76699 17389
17691 23 59143 76834 19220
20740 28 53617 74357 21700
21683 25.5 63171 84854 23263
8/9/2019 2010 DATA 2nd
18/333
19067 20 75546 94613 21905
18585 21 68866 87451 20539
604/0.4266 19553 23.5 64069 83622 21325
16648 20 66288 82936 18837
19159 23.5 61876 81035 17519
20225 21.5 73715 93940 23163
17072 18.5 75830 92902 19069
204/0.4099 18276 21 69427 87703 19647
17072 18.38 92902
und wise. We just have to be willing to sit there and listen
Roche, Novartis, Merck, Pfizer, AstraZeneca, GlaxoSmithKline
Neutrogena, Colgate-Palmolive and Gillette
Johnson & Johnson
LTIME-COP Associate Year1979 Fellow Year1984
8/9/2019 2010 DATA 2nd
19/333
00
FII
#
#
#
#
#
#
#
#
##
#
#
#
#
#
#
#
#
##
#
#
#
#
#
#
##
#
#
#
#
#
8/9/2019 2010 DATA 2nd
20/333
#
#
#
#
#
#
#
##
#
#
#
#
#
#
##
#
#
#
#
#
#
#
#
#
#
#
#
#
#
#
#
#
##
#
#
#
#
8/9/2019 2010 DATA 2nd
21/333
8/9/2019 2010 DATA 2nd
22/333
advance/ decline WORLD
FII--F&O MF NSE BSE Dow Jo Nasdaq S&P-500
-50.5 -192.1 3.53 2.78 -1.14 -0.97 -1.01
2207.3 43.4 1.72 1.56 1.51 1.73 1.59
238.1 -571.1 1.05 1.04 -0.11 0.01 0.31
-1209.3 -406.7 1.2 1.31 0.02 -0.33 0.05
-775.3 -157.7 1.21 1.45 0.31 -0.05 0.39
410.3 -1284.2 max=3.531 min=1.0357 10618.2 2317.2 1144.9
-1625.6 55.1 2.8 2.51 0.11 0.74 0.29
-692.2 55.1 0.4 0.56 0.43 -0.21 0.17
-824.9 -394.2 1.4 1.32 -0.34 -4.31 -0.94254.2 193.3 2.13 1.91 0.51 1.12 0.83
709.9 110.7 0.93 0.87 0.28 0.38 0.24
-2178.6 20 max=2.803 min=0.4021 10609.7 2287.9 1139.1
12.9 -115 1.08 1.14 -0.94 -1.24 -1.08
-272.9 -498.6 0.45 0.58 c c c
-5.2 -205.6 0.6 0.68 1.09 1.42 1.25
-2261.7 -462.8 0.12 0.22 -1.14 -1.26 -1.06
-986.5 158.7 0.4 0.28 -2.01 -1.12 -1.89
-3513.4 -1123.3 max=1.140 min=0.1231 10172.9 2205.3 1091.8
14.8 -157.4 0.45 0.64 -1.86 -2.42 -1.75-749.3 -176.4 0.04 0.13 -0.03 -0.32 -0.42
2068.7 1112.5 0.64 0.6 0.41 0.81 0.49
490.3 636.2 1.29 1.04 -1.13 -1.91 -1.18
1824.5 1414.9 max=1.290 min=0.0393 10067.3 2147.4 1073.87
10067.3 2147.4 1073.87
737.2 32.6 4.45 3.06 -0.52 -1.45 -0.98
-396.6 -247 0.43 0.6 1.17 1.11 1.43
2954.7 6.2 2.38 1.6 1.09 0.87 1.31
157.5 -296.2 0.22 0.39 -0.26 0.04 -0.55-1104.8 -6.8 0.09 0.19 -2.61 -2.99 -3.11
-32 20.5 2.46 5.48
2316 -490.7 max=5.476 min=0.0888 10012.2 2141.1 1066.2
405.5 37 0.83 0.89 0.11 0.74 0.29
1020.4 259.4 1.21 1.16 -1.04 -0.69 -0.89
1041.3 267 0.78 0.85 1.52 1.17 1.31
1077.3 1.5 1.77 1.32 0.84 1.24 0.75
8/9/2019 2010 DATA 2nd
23/333
3544.5 564.9 max=1.773 min=0.8532 10099.1 2183.5 1075.5
291.3 -299.7 0.5 0.67 -0.44 0.28 -0.27
571.6 -59 1.34 1.17 c c c
777.3 262.5 1.97 1.46 1.68 1.41 1.81
48 -132.2 0.49 0.57 0.44 0.49 0.47
-1009.8 -148.1 0.24 0.37 0.81 0.69 0.66
678.4 -376.5 max=1.971 min=0.2383 10402.4 2243.9 1109.2
911.6 88.9 0.35 0.47 0.09 0.11 0.22338 -226.7 0.33 0.42 -0.18 -0.08 -0.11
-1647.1 -246.7 0.85 0.91 -0.97 -1.28 -1.21
645.2 377.6 0.7 0.8 0.89 1.01 0.97
1432.9 -387.6 3.02 1.95 -0.46 -0.08 -0.16
1680.6 -394.5 max=3.024 min=0.3337 10325.3 2238.3 1104.5
10325.3 2238.3 1104.5
2817.4 -179.7 4.19 2.55 0.8 1.76 1.16
2981.3 82.5 3.71 2.13 0.02 0.32 0.23
377.7 -351 1.59 1.4 -0.09 -0.01 0.04158.2 -527.3 1.55 1.36 0.46 0.51 0.37
6334.6 -975.5 max=4.192 min=1.3579 10566.2 2326.4 1138.7
947.6 -198.2 1.57 1.72 1.17 1.48 1.41
-282.2 26.7 0.39 0.57 -0.13 0.25 -0.02
155.1 -337.5 0.61 0.69 0.11 0.36 0.17
970.2 -244.4 0.49 0.58 0.03 0.78 0.45
424.3 -127.4 0.5 0.56 0.42 0.39 0.39
2215 -870 max=1.715 min=0.3949 10624.7 2367.7 1149.9
-379.7 -237.4 0.37 0.52 0.12 -0.03 -0.02
708.7 -177.2 2.31 1.68 0.16 -0.23 0.051531.2 32.8 0.81 0.77 0.41 0.67 0.78
1106 -52.2 0.81 0.79 0.45 0.47 0.58
339.7 -101.8 0.97 0.95 0.42 0.09 -0.03
3305.9 -535.8 max=2.310 min=0.3688 10741.9 2374.4 1159.9
-350.9 -359.5 0.37 0.5 -37.19 -16.87 -5.93
391.5 -299.7 0.93 0.82 0.41 0.88 0.51
246.8 -71.3 0.76 0.85 0.47 0.15 0.17
928.7 -201.8 0.77 0.71 -0.02 -0.06 -0.22
1216.1 -2752 max=0.932 min=0.3651 10850.4 2389.1 1166.6
-63.8 -382.3 0.68 0.53 0.08 -0.35 0.07-69.3 -100.2 1.57 1.55 0.42 0.39 0.57
-1101.8 1.22 1.29 0.11 0.26 0.01
1051.6 -178 4.3 3.51 -0.65 -0.58 -0.49
-183.3 max=4.298 min=0.5348 10927.1 2402.6 1178.1
2625.9 51.4 4.61 3.38 0.65 0.19 0.74
1621.7 -147.6 1.32 1.46 0.43 1.12 0.79
1178.2 -6.1 1.04 1.33 -0.03 0.29 0.17
8/9/2019 2010 DATA 2nd
24/333
8/9/2019 2010 DATA 2nd
25/333
Bovspa Nik Han Ko Sa
-1.01 1.03 -0.23 #
0.01 0.25 2.09 # #
0.01 0.46 0.62 #
0.01
0.01 1.09 0.12 # #
70262.7 10798.3 22296.8 # #
-0.27 c 0.51 # #
0.01 -0.75 -0.38 # #
0.01 -1.32 -2.59 # #0.01 1.61 -0.15 # #
-0.24 0.68 -0.29 # #
68978.3 10982.1 21654.2 # #
-1.18 -1.16 -0.91 # #
0.01 -0.83 1.02 # #
0.01 -0.25 -1.81 # #
-0.01 1.22 -1.99 # #
-0.01 -2.56 -0.65 # #
66220.1 10590.6 20726.2 # #
-0.07 -2.52 -3 # #-1.05 -0.71 -0.38 # #
-0.61 1.58 1.61 # #
0.01 -2.08 -1.15 # #
65401.8 10198.1 20121.9 # #
65401.8 10198.1 20121.9 # #
-0.28 0.07 0.61 # #
0.01 1.63 0.14 # #
0.01 0.32 2.22 # #
0.01 -0.46 -1.84 # #-4.75 -2.89 -3.33 # #
62762.7 10057.1 19665.1 # #
-1.83 -1.05 -0.58 # #
0.62 -0.19 1.22 # #
2.48 0.31 0.67 # #
2.52 1.29 1.74 # #
8/9/2019 2010 DATA 2nd
26/333
65854.9 10092.2 20268.7 # #
-0.41 -0.78 c
c 0.21 c #
c 2.72 1.31 #
2.17 0.28 -0.54 #
0.82 -2.05 -2.59 #
67597.4 10123.6 19894.1 # #
-0.35 2.74 2.43 # #-0.61 -0.47 1.21 # #
-0.01 -1.48 -0.75 # #
-0.47 -0.95 -0.33 # #
0.65 0.24 1.03 # #
66503.3 10126.1 20608.7 # #
66503.3 10126.1 20608.7 # #
0.58 0.94 1.45 # #
1.01 0.31 -0.14 # #
0.01 -1.05 -1.44 # #0.26 2.21 1.03 # #
68846.5 10368.9 20787.9 # #
1.52 2.09 1.97 # #
-0.45 -0.17 0.05 # #
1.59 -0.04 0.01 # #
0.68 0.96 0.09 # #
0.42 0.81 -0.09 # #
69341.4 10751.3 21209.7 # #
0.78 0.01 -0.62 # #
0.27 -0.28 -0.27 # #0.01 1.17 1.72 # #
-0.31 -0.95 -0.25 # #
-0.04 0.75 0.19 # #
68828.9 10824.7 21370.8 # #
-1.25 c -2.05 # #
0.25 -0.09 0.37 # #
0.49 0.13 -1.1 # #
0.61 1.55 1.32 # #
68682.7 10996.4 21053.1 # #
0.35 -0.09 0.88 # #1.59 1.01 0.65 # #
0.07 -0.06 -0.63 # #
0.25 1.39 1.41 # #
71136.3 11286.1 21537.1 # #
1.09 0.47 c #
0.22 -0.51 1.4 # #
0.01 0.09 1.82 # #
8/9/2019 2010 DATA 2nd
27/333
0.01 -1.09 -0.28 # #
0.01 0.32 1.56 # #
71417.3 11204.3 22208.5 # #
0.51 0.42 -0.32 # #
-1.52 -0.81 -0.16 # #
-1.51 0.19 0.08 # #
0.35 -1.52 -1.32 # #
69421.4 11102.2 21865.3 # #-1.57
8/9/2019 2010 DATA 2nd
28/333
Commodities
Cac Dax Futs
1.97 1.53 1.62 81.51 5.84 1119.5
0.15 -0.02 0.55 81.77 5.59 1118.5
-0.04 0.08 -0.25 82.82 5.92 1137.1
-1.01 -0.52 82.66 5.92 1133.6
0.51 0.31 0.14 83.25 5.71 1139.2
4047.6 6037.6 5534.24 83.25 5.71 1139.2
-0.05 0.05 0.07 83.65 83.65 5.43 1151.7
-1.06 -1.57 -0.74 81.48 5.48 1129.3
0.81 0.34 -0.46 79.65 5.71 11380.37 0.43 0.45 79.35 5.52 1144
-1.53 -1.89 -0.78 78 5.67 1131
3954.4 5875.9 5455.4 78 5.67 1131
0.58 0.72 0.72 c c c
0.81 0.98 0.34 78.3 5.57 1140.5
-2.01 -2.09 -0.71 77.15 5.49 1113
-1.71 -1.79 -1.58 76.2 5.61 1103
-1.07 -0.91 -0.61 74.75 5.75 1092
3820.8 5695.3 5302.9 74.75 5.75 1092
0.67 0.67 0.31 74.4 5.62 1096.4-1.24 -0.45 -1.13 73.9 5.16 1086.5
-0.03 -1.82 -1.37 73.79 5.17 1084.5
-1.37 1.24 0.83 72.89 5.13 1083.2
3739.5 5608.8 5188.5 72.89 5.13 1083.2
3739.5 5608.8 5188.5
0.61 0.81 1.14 74.78 5.49 1105.3
1.33 0.98 0.68 77.02 5.41 1118.2
-0.03 -0.66 -0.57 76.6 5.48 1112.4
-2.75 -2.45 -2.17 73.05 5.45 1064.1-3.41 -1.79 -1.53 71.19 5.52 1053.5
3563.8 5434.3 5060.9 71.19 5.52 1053.5
1.22 0.93 0.62 71.62 5.44 1066
0.15 0.24 0.38 73.28 5.35 1072
0.63 0.69 0.39 74.85 5.32 1076.1
-1.01 -1.14 -0.26 75.05 5.4 1096.2
8/9/2019 2010 DATA 2nd
29/333
3599.1 5500.4 5142.5 73.3 5.45 1090.2
-0.03 0.19 0.49 c c c
1.66 1.47 1.48 77.25 5.3 1120.3
1.53 1.01 0.62 76.98 5.36 1120
0.61 0.57 0.92 78.08 5.16 1119
0.58 0.73 0.62 79.81 5.08 1122
3769.5 5797.4 5358.2 79.81 5.08 1122
-0.34 -0.59 -0.11 80.16 4.91 1113.1-1.52 -1.48 -0.69 78.86 4.81 1103
0.23 0.21 0.52 79.82 4.86 1096.8
-2.02 -1.48 -1.21 78.58 4.81 1108.4
1.87 1.21 1.45 79.66 4.81 1118.5
3708.8 5598.5 5354.5 79.66 4.81 1118.5
3708.8 5598.5 5354.5
2.76 3.16 2.41 78.71 4.68 1118.3
0.81 0.72 0.91 79.64 4.74 1137.3
-0.37 -0.39 0.11 80.37 4.77 11442.14 1.42 1.31 80.63 4.57 1133.7
3910.4 5877.4 5599.76 81.5 4.59 1137.5
-0.18 -0.02 0.12 81.44 4.57 1124.5
0.17 0.17 -0.08 81.57 4.5 1121.8
0.86 0.86 0.68 81.62 4.56 1108.2
-0.37 -0.14 -0.41 82.22 4.53 1108.1
-0.04 0.28 0.15 81.24 4.51 1107.5
3927.4 5945.1 5625.7 81.24 4.51 1107.5
-0.93 -0.71 -0.57 79.8 4.39 1105.1
1.23 1.14 0.48 81.71 4.35 1122.20.48 0.89 0.43 82.93 4.3 1126.2
-0.49 -0.21 -0.04 82.2 4.08 1127.4
-0.32 -0.49 0.13 80.68 4.17 1107.4
3925.4 5982.4 5650.01 80.68 4.17 1107.4
0.07 0.08 -0.11 81.25 4.08 1099.3
0.56 0.86 0.59 81.91 4.13 1103.5
1.28 1.56 0.88 80.61 4.11 1088.6
-0.29 -0.21 -0.43 80.53 3.98 1092.7
3988.9 6120.1 5703.1 80.01 3.87 1104.2
0.29 0.59 0.13 82.17 3.84 1110.3-0.33 -0.23 -0.67 82.37 3.97 1104.5
-0.34 0.18 0.13 83.76 3.87 1113.2
1.52 1.33 1.15 84.87 4.09 1125.1
4034.2 6235.6 5744.9 84.87 4.09 1125.1
c c c 86.62 4.28 1132.9
0.49 0.27 0.62 86.84 4.1 1135.1
-0.67 -0.48 -0.32 85.88 4.02 1152.3
8/9/2019 2010 DATA 2nd
30/333
-0.81 -0.85 -0.86 85.39 3.91 1152.2
1.81 1.26 1.02 84.96 4.07 1161.1
4050.5 6249.7 5770.9 84.96 4.07 1161.1
-0.01 0.12 0.02 84.34 4.01 1161.6
-0.46 -0.32 -0.28 84.39 4.16 1152.8
0.84 0.97 0.84 85.51 3.98 1159.7
-1.94 -1.76 -1.39 83.24 4.04 1136.3
3986.6 6180.9 5743.9 83.24 4.04 1136.3
8/9/2019 2010 DATA 2nd
31/333
EVENTS SPECIAL
17.45 3.42 World US:The number of buyers who ag
17.81 3.41
18.18 3.52
18.35 3.43
18.46 3.44
18.46 3.44
18.79 3.45
18.36 3.35
18.4 3.418.64 3.44
18.44 3.37
18.44 3.37
c c
18.8 3.45
17.88 3.36
17.6 3.31
16.94 3.35
16.94 3.35
17.12 3.39 U.S. Treas* The mar* The new* Several16.43 3.23
16.21 3.11 * The T-note futures gained 1
16.27 3.05 RkB--Our market is
16.27 3.05
16.65 3.09
16.74 3.09
16.58 2.98
15.33 2.88 The Dow sneezes again though14.88 2.86
14.88 2.86
15.1 2.93
15.43 3
15.33 2.99
15.59 3.13
3.98 on BSE RealitBSE MetalBSE Auto
* The new
BANKEX2.
http://www.reuters.com/finance/markets/index?symbol=cn%21SHIhttp://www.reuters.com/finance/markets/index?symbol=cn%21SHIhttp://www.reuters.com/finance/markets/index?symbol=cn%21SHI8/9/2019 2010 DATA 2nd
32/333
15.41 3.09
c c
16.09 3.24
16.07 3.26
16.02 3.31
16.41 3.37
16.41 3.37
16.26 3.3315.91 3.24
15.98 3.25
15.94 3.21
16.51 3.27 Mar-O
16.51 3.27 Apr-O
Apr-O
16.46 3.34
17.06 3.41
17.31 3.4317.23 3.38
17.39 3.41
17.27 3.41
17.33 3.41
17.31 3.37
17.17 3.38
17.04 3.37
17.04 3.37
17.08 3.31
17.33 3.3617.5 3.41
17.41 3.39
17.02 3.36
17.02 3.36
16.92 3.37
17.01 3.37
16.63 3.34
16.73 3.37 21503
16.89 3.39 Apr-O327
17.37 3.53 May- 1372 17.32 3.56 May- 26
17.51 3.55
17.88 3.58
17.88 3.58
18.1 3.63
17.92 3.61
18.18 3.59
# Mar-O
# Apr-OI
8/9/2019 2010 DATA 2nd
33/333
18.12 3.58
18.34 3.58
18.34 3.58
18.4 3.56
18.24 3.61
18.42 3.6
17.67 3.51
17.67 3.51
8/9/2019 2010 DATA 2nd
34/333
8/9/2019 2010 DATA 2nd
35/333
21565.5
741.5
328.5
79.5
8/9/2019 2010 DATA 2nd
36/333
8/9/2019 2010 DATA 2nd
37/333
se previously occupied homes fell sharply in November, a sign sales will fall this winter, u
279861220
801
103
common cold virus has already been transmitted to Europe and Latin
8/9/2019 2010 DATA 2nd
38/333
Index
6,846.66 7,170.99 4.74 7,544.67
9,611.58 9,828.68 2.26 10,196.17
3,964.66 4,001.78 0.94 4,084.60
13,333.25 13,474.86 1.06 13,782.22
2,723.29 2,662.05 -2.25 2,759.29
4,837.82 4,912.98 1.55 5,018.61
5,188.92 5,173.99 -0.29 5,277.60
15,989.77 16,401.52 2.58 17,283.70
9,493.53 9,596.24 1.08 9,825.93
2,953.92 2,961.56 0.26 3,073.30
9,118.39 9,214.28 1.05 9,345.50
3,196.34 3,236.69 1.26 3,316.83
3,178.15 3,179.21 0.03 3,263.16
### ### 1.52 7,290.12
25/02/2010Value
26/02/2010Value
%Changein Value
03/03/2010Value
AUTO
BANKEX
CD
CG
FMCG
HCIT
METAL
OIL&GAS
POWER
PSU
REALTY
TECk
http://www.bseindia.com/mktlive/indiceswatch.asp?iname=AUTO&sensid=19&type=sect&graphpath=/applet/images/graf_appAUTO.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BANKEX&sensid=03&type=comp&graphpath=/applet/images/graf_appBANKEX.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECD&sensid=04&type=sect&graphpath=/applet/images/graf_appBSE_CD.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECG&sensid=02&type=sect&graphpath=/applet/images/graf_appBSE_CG.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEFMCG&sensid=06&type=sect&graphpath=/applet/images/graf_appBSEFMC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEHC&sensid=08&type=sect&graphpath=/applet/images/graf_appBSE_HC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEIT&sensid=10&type=sect&graphpath=/applet/images/graf_appBSE_IT.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=METAL&sensid=12&type=sect&graphpath=/applet/images/graf_appMETAL.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=OILGAS&sensid=14&type=sect&graphpath=/applet/images/graf_appOILGAS.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=POWER&sensid=15&type=sect&graphpath=/applet/images/graf_appPOWER.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEPSU&sensid=01&type=comp&graphpath=/applet/images/graf_appBSEPSU.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=REALTY&sensid=091&type=sect&graphpath=/applet/images/graf_appREALTY.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=TECK&sensid=02&type=comp&graphpath=/applet/images/graf_appTECK.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=TECK&sensid=02&type=comp&graphpath=/applet/images/graf_appTECK.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=REALTY&sensid=091&type=sect&graphpath=/applet/images/graf_appREALTY.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEPSU&sensid=01&type=comp&graphpath=/applet/images/graf_appBSEPSU.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=POWER&sensid=15&type=sect&graphpath=/applet/images/graf_appPOWER.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=OILGAS&sensid=14&type=sect&graphpath=/applet/images/graf_appOILGAS.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=METAL&sensid=12&type=sect&graphpath=/applet/images/graf_appMETAL.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEIT&sensid=10&type=sect&graphpath=/applet/images/graf_appBSE_IT.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEHC&sensid=08&type=sect&graphpath=/applet/images/graf_appBSE_HC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEFMCG&sensid=06&type=sect&graphpath=/applet/images/graf_appBSEFMC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECG&sensid=02&type=sect&graphpath=/applet/images/graf_appBSE_CG.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECD&sensid=04&type=sect&graphpath=/applet/images/graf_appBSE_CD.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BANKEX&sensid=03&type=comp&graphpath=/applet/images/graf_appBANKEX.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=AUTO&sensid=19&type=sect&graphpath=/applet/images/graf_appAUTO.gif8/9/2019 2010 DATA 2nd
39/333
8/9/2019 2010 DATA 2nd
40/333
dermining last summer's recovery.was the first decline following nine straight months of
merica. It has also travelled far and wide: Asia is already seeing mild
8/9/2019 2010 DATA 2nd
41/333
8/9/2019 2010 DATA 2nd
42/333
8/9/2019 2010 DATA 2nd
43/333
ains and the lowest reading sinc
nset of fever. Use this me
8/9/2019 2010 DATA 2nd
44/333
8/9/2019 2010 DATA 2nd
45/333
8/9/2019 2010 DATA 2nd
46/333
Day-1 T-Day
Date
VOLUME
June.The National Association of Realtors said Tuesday its seasonally Dow Jo
Nasdaq
S&P-500
Bovspa
Nik
Han
Kospi
Sanhai
CacDax
Futs
"Go for a business t
"If you stay half-ale
"Investing without r
taphor of common cold and influenza or any other; the fact remains th
8/9/2019 2010 DATA 2nd
47/333
8/9/2019 2010 DATA 2nd
48/333
8/9/2019 2010 DATA 2nd
49/333
MONT DATE Change NIFTYAv of Nifty & Sense open hi lo close
at any idiot can run because sooner or later, any idiot is probably going to run it."
t, you can pick the spectacular performers right from your place of business or out of the
search is like playing stud poker and never looking at the cards."
t these days equity markets around the world are behaving like mini c
Intra-day Highest5.79 on 4/5/2009
3.21 on 2/3/2009
8/9/2019 2010 DATA 2nd
50/333
8/9/2019 2010 DATA 2nd
51/333
8/9/2019 2010 DATA 2nd
52/333
SENSX
open
high
low
close
eighborhood shopping mall, and long before Wall Street discovers them."
lones of the US market while their own economic realities
8/9/2019 2010 DATA 2nd
53/333
8/9/2019 2010 DATA 2nd
54/333
8/9/2019 2010 DATA 2nd
55/333
may differ considerably. This is because the major participants in all o
8/9/2019 2010 DATA 2nd
56/333
8/9/2019 2010 DATA 2nd
57/333
8/9/2019 2010 DATA 2nd
58/333
the markets remain the same group of investors and/or traders. It is t
8/9/2019 2010 DATA 2nd
59/333
8/9/2019 2010 DATA 2nd
60/333
8/9/2019 2010 DATA 2nd
61/333
eir shifting from one asset class to another not so much one market to
8/9/2019 2010 DATA 2nd
62/333
8/9/2019 2010 DATA 2nd
63/333
8/9/2019 2010 DATA 2nd
64/333
another.
8/9/2019 2010 DATA 2nd
65/333
8/9/2019 2010 DATA 2nd
66/333
8/9/2019 2010 DATA 2nd
67/333
INDIAN MARKET
MONTH WEEK 1 T-Day of 2DATEWEEK Week Day
Av of Nifty & SeNIFTY
Intra-day open
52 Week High---
52 Week Low---
WEEK 1 5 9-Jan 109+28=1
WEEK 2 10 16-Jan 56+74=13
WEEK 3 15 23-Jan 40+297=33
WEEK 4 19 30-Jan 5+274=279
Change
Highest5.79 on 4/5/200
Lowest3.21 on 2/3/200
G(22/01)
8/9/2019 2010 DATA 2nd
68/333
SENSEX Jr. NIFT BSE-midBSE-sma
hi l close open l close
5310 5173 5244 326+85=4 17790 17379 17540 ### 6946.1 8697.6
5300 5170 5252 236+263=4 17776 17277 17554 ### 7050.4 8970.5
5292 4955 5040 158+946=1 17712 16608 16859 ### 6783.7 8661.2
5035 4766 4882 18+877=89 16877 15982 16358 9985.7 6509.8 8232.7
9
9
8/9/2019 2010 DATA 2nd
69/333
VOLUME $h=52.3700
S&P500 Put/Call Amt--CaAmt--F&Amt--To Number FII--Cash
0.87
4405.3 22.62 0.4662/0.4409 24156 51358 75514 26893 3055.4
4468.2 21.96 0.4298/0.3945 24183 58302 82485 26802 3412.2
4313.3 22.89 0.4076/0.3499 22987 86561 109548 25866 -3513.4
4156.1 26.96 0.4769/0.3328 23374 127351 150725 30450 -4786.4
VIX(87.53 h)
8/9/2019 2010 DATA 2nd
70/333
advance/ decline WORLD
FII--F&O MF NSE BSE Dow Jo Nasdaq S&P-500 Bovspa
410.3 -1284.2 max=3.531 min=1.0357 10618.2 2317.2 1144.9 70262.7
-2178.6 20 max=2.803 min=0.4021 10609.7 2287.9 1139.1 68978.3
-2818.2 -1123.3 max=1.140 min=0.1231 10172.9 2205.3 1091.8 66220.1
1824.5 1414.9 max=1.290 min=0.0393 10067.3 2147.4 1073.87 65401.8
8/9/2019 2010 DATA 2nd
71/333
Commoditi
Nik Han Kospi Sanhai Cac Dax Futs
10798.3 22296.8 1695.3 3277.14 4047.6 6037.6 5534.24 83.25
10982.1 21654.2 1701.8 3224.2 3954.4 5875.9 5455.4 78
10590.6 20726.2 1684.4 3128.6 3820.8 5695.3 5302.9 74.75
10198.1 20121.9 7640.4 2989.3 3739.5 5608.8 5188.5 72.89
8/9/2019 2010 DATA 2nd
72/333
es EVENTS SPECIAL
5.71 1139.2 18.46 3.44
5.67 1131 18.44 3.37
5.75 1092 16.94 3.35
5.13 1083.2 16.27 3.05
8/9/2019 2010 DATA 2nd
73/333
8/9/2019 2010 DATA 2nd
74/333
8/9/2019 2010 DATA 2nd
75/333
8/9/2019 2010 DATA 2nd
76/333
Day-1 T-Day MONT DATE
Date
"Investing without research is like playi
8/9/2019 2010 DATA 2nd
77/333
Change NIFTY SENSX
Av of Nifty & Sense open hi lo close open
hi
lo
clo
g stud poker and never looking at the cards."
Intra-day Highest5.79 on 4/5/2009
3.21 on 2/3/2009
8/9/2019 2010 DATA 2nd
78/333
h
se
8/9/2019 2010 DATA 2nd
79/333
8/9/2019 2010 DATA 2nd
80/333
WEEK 4 WEEK 5 WEEK 6
19 24 28
30-Jan 6-Feb 13-Feb
6,953.20 6,864.29 6,963.15 6,998.24
9,654.09 9,274.50 9,405.92 9,560.25
3,799.29 3,943.16 4,036.09 4,078.69
13,125.06 12,910.54 12,997.39 13,143.87
2,725.38 2,710.05 2,735.59 2,753.33
4,765.14 4,753.21 4,773.65 4,862.93
4,977.71 4,845.86 5,019.60 5,081.67
15,962.05 15,608.38 15,636.40 15,806.15
9,939.00 9,694.48 9,812.63 9,655.30
3,061.52 2,974.49 2,982.42 2,960.64
9,473.93 9,187.45 9,290.60 9,222.61
3,500.22 3,320.05 3,384.40 3,189.77
3,151.77 3,075.17 3,178.35 3,142.79
### 6,858.59 ### ###
8/9/2019 2010 DATA 2nd
81/333
7,170.99 7,553.20 7,572.64 7,629.37
9,828.68 10,198.99 10,341.20 10,432.19
4,001.78 4,128.22 4,143.58 4,193.17
13,474.86 13,885.26 13,784.03 13,978.41
2,662.05 2,783.13 2,794.88 2,807.53
4,912.98 5,049.69 5,060.66 5,198.07
5,173.99 5,228.72 5,338.35 5,513.39
16,401.52 17,560.26 17,271.54 17,901.25
9,596.24 9,767.37 9,826.94 10,172.15
2,961.56 3,087.54 3,050.46 3,069.41
9,214.28 9,323.80 9,072.34 9,131.48
3,236.69 3,460.19 3,387.92 3,340.81
3,179.21 3,256.45 3,295.17 3,408.56
### ### ### ###
8/9/2019 2010 DATA 2nd
82/333
WEEK 13
62
3-Apr
7,624.31 7,664.90 7,815.83 7,588.26
10,636.28 10,712.89 10,896.47 10,553.87
4,172.80 4,285.55 4,480.30 4,581.83
14,074.40 14,274.64 14,458.52 13,984.10
2,841.05 2,824.82 2,859.25 2,868.06
5,332.55 5,343.74 5,347.58 5,322.52
5,515.07 5,355.66 5,328.75 5,500.02
17,909.40 18,230.14 18,344.79 18,224.70
10,233.08 10,258.70 10,429.78 10,090.34
3,067.99 3,110.45 3,208.48 3,152.32
8,948.51 9,067.96 9,129.03 8,901.85
3,205.65 3,310.01 3,498.48 3,549.56
3,405.30 3,321.15 3,333.64 3,398.81
### ### ### ###
8/9/2019 2010 DATA 2nd
83/333
AUTO
BANKEX
CD
CG
FMCGHC
IT
METAL
OIL&GAS
POWER
PSU
REALTY
TECk
http://www.bseindia.com/mktlive/indiceswatch.asp?iname=AUTO&sensid=19&type=sect&graphpath=/applet/images/graf_appAUTO.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BANKEX&sensid=03&type=comp&graphpath=/applet/images/graf_appBANKEX.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECD&sensid=04&type=sect&graphpath=/applet/images/graf_appBSE_CD.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECG&sensid=02&type=sect&graphpath=/applet/images/graf_appBSE_CG.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEFMCG&sensid=06&type=sect&graphpath=/applet/images/graf_appBSEFMC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEHC&sensid=08&type=sect&graphpath=/applet/images/graf_appBSE_HC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEIT&sensid=10&type=sect&graphpath=/applet/images/graf_appBSE_IT.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=METAL&sensid=12&type=sect&graphpath=/applet/images/graf_appMETAL.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=OILGAS&sensid=14&type=sect&graphpath=/applet/images/graf_appOILGAS.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=POWER&sensid=15&type=sect&graphpath=/applet/images/graf_appPOWER.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEPSU&sensid=01&type=comp&graphpath=/applet/images/graf_appBSEPSU.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=REALTY&sensid=091&type=sect&graphpath=/applet/images/graf_appREALTY.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=TECK&sensid=02&type=comp&graphpath=/applet/images/graf_appTECK.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=TECK&sensid=02&type=comp&graphpath=/applet/images/graf_appTECK.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=REALTY&sensid=091&type=sect&graphpath=/applet/images/graf_appREALTY.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEPSU&sensid=01&type=comp&graphpath=/applet/images/graf_appBSEPSU.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=POWER&sensid=15&type=sect&graphpath=/applet/images/graf_appPOWER.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=OILGAS&sensid=14&type=sect&graphpath=/applet/images/graf_appOILGAS.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=METAL&sensid=12&type=sect&graphpath=/applet/images/graf_appMETAL.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEIT&sensid=10&type=sect&graphpath=/applet/images/graf_appBSE_IT.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEHC&sensid=08&type=sect&graphpath=/applet/images/graf_appBSE_HC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSEFMCG&sensid=06&type=sect&graphpath=/applet/images/graf_appBSEFMC.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECG&sensid=02&type=sect&graphpath=/applet/images/graf_appBSE_CG.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BSECD&sensid=04&type=sect&graphpath=/applet/images/graf_appBSE_CD.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=BANKEX&sensid=03&type=comp&graphpath=/applet/images/graf_appBANKEX.gifhttp://www.bseindia.com/mktlive/indiceswatch.asp?iname=AUTO&sensid=19&type=sect&graphpath=/applet/images/graf_appAUTO.gif8/9/2019 2010 DATA 2nd
84/333
8/9/2019 2010 DATA 2nd
85/333
8/9/2019 2010 DATA 2nd
86/333
8/9/2019 2010 DATA 2nd
87/333
8/9/2019 2010 DATA 2nd
88/333
8/9/2019 2010 DATA 2nd
89/333
8/9/2019 2010 DATA 2nd
90/333
8/9/2019 2010 DATA 2nd
91/333
8/9/2019 2010 DATA 2nd
92/333
8/9/2019 2010 DATA 2nd
93/333
8/9/2019 2010 DATA 2nd
94/333
8/9/2019 2010 DATA 2nd
95/333
8/9/2019 2010 DATA 2nd
96/333
8/9/2019 2010 DATA 2nd
97/333
8/9/2019 2010 DATA 2nd
98/333
8/9/2019 2010 DATA 2nd
99/333
8/9/2019 2010 DATA 2nd
100/333
8/9/2019 2010 DATA 2nd
101/333
8/9/2019 2010 DATA 2nd
102/333
8/9/2019 2010 DATA 2nd
103/333
8/9/2019 2010 DATA 2nd
104/333
8/9/2019 2010 DATA 2nd
105/333
8/9/2019 2010 DATA 2nd
106/333
8/9/2019 2010 DATA 2nd
107/333
#NAME?
###
4,132.31
###
2,779.785,044.62
5,236.03
###
9,965.63
3,060.08
9,210.25
3,395.38
#NAME?
#NAME?
8/9/2019 2010 DATA 2nd
108/333
WORLD
WEEKDay
Week End Date
Dow Jo
Nasdaq
S&P-500
Bovspa
Nik
Han
Kospi
Sanhai
Cac
Dax
Futs
8/9/2019 2010 DATA 2nd
109/333
COMMODITYMONTH
T-Day of
DATE
Day
TURNOVERMCX
NCDEX
ENERGY COMMODITYOIL $
GAS $
PRECIOUS METALSGOLD $
SILVER $
PLATINUM
BASE METALSCOPPER $
8/9/2019 2010 DATA 2nd
110/333
INDUSTRIAL
OVERALL 9.6
y/y Oct--09 10.3 0.1 BASIC 5 INTERME 14.3
y/y Nov--09 11.7 NOV 08=2.5 6 19.4
FULL YEAR E 9.5
EXPORT Nov 2009 $1,320 18.20%Dec 2009 $1,460 9.40%
8/9/2019 2010 DATA 2nd
111/333
CAPITAL 12.2 CONSUMER DURABLE CONSUME 11.8 MINING
12.2 37.3 11.1
8/9/2019 2010 DATA 2nd
112/333
8.2ELECTRICI 4.7MANUFACTURING
10 3.3 12.7 CORE (26. 5.3
8/9/2019 2010 DATA 2nd
113/333
Steel 11.7 Petro--Cru -1.6 Petro-Refi 4.9 Coal 3.3 Electricity
8/9/2019 2010 DATA 2nd
114/333
-1.8
8/9/2019 2010 DATA 2nd
115/333
8/9/2019 2010 DATA 2nd
116/333
BSE Holidays 2010 / NSE Holidays 2010
Day Date Holiday
Friday 1st January 2010 New Year
Tuesday 26th January 2010 Republic Day
Friday 12th February 2010 Mahashivratri
Monday 1st March 2010 Holi (2nd Day)Wednesday 24th March 2010 Ram Navmi
Friday 2nd April 2010 Good Friday
Wednesday 14th April 2010 Dr. Babasaheb Ambedkar Jayanti
Friday 10th September 2010 Ramzan Id
Friday 5th November 2010 Diwali Amavasya (Laxmi Puja)
Wednesday 17th November 2010 Bakri-Id
Friday 17th December 2010 Moharum
Stephen Roach Morgan Stanley Asia Chairman**** FIF
Diwali Muhurat Trading / Deepavali 2010 Muhurat Trading will be held on Friday,
5th November 2010 (Diwali Amavasya Laxmi Puja).
8/9/2019 2010 DATA 2nd
117/333
8/9/2019 2010 DATA 2nd
118/333
1:00 p.m.
.m.
5 p.m.
8/9/2019 2010 DATA 2nd
119/333
FIIs have taken a break after buying a record Rs 90,950 crore shares in the first three
From January this year, FIIs sold shares worth Rs 10,555 crore. This trend might increa
Survey of global fund managers by Merrill Lynch for emerging equity markets indicate
2010 January 40% underweight on India
February 59%
Even after record investments in the first three quarters, FII ownership in the free-floa2007Septembe peak of 4
2010 January 36.44%
Citi : Budget would be an important trigger for FII flows returning to India.
If 1-- things remain calm in global markets and 2---the Budget is positive to neutral fo
then there are fair chances of FII flows resuming. Most FIIs are sitting on cash and the
Things were, however, quite bright in the first three quarters of 2009 when the total h
DSP Merrill Lynch:FIIs buying through the primary market was a function of the choice
Citis Kapoor said One of the reasons for this trend could be that shares in primary of
FIIs also preferred to buy shares from other FIIs through block deals to minimise the a
FLOW PAT
NET FII INFL
Fin YEAR
2006-07
2007-08
2008-09
2009-10**April-Decemb
DIIs--- such as banks and insurance companies preferred to remain on the sidelines inTheir ownership of India Inc moved up just 0.62 % in the past three quarters.
FLOW PATTERNS
In the first three quarters, the secondary market accounted for 36 per cent of the tota
8/9/2019 2010 DATA 2nd
120/333
NEW BUSINESS PROSPECT
Biometric applications
Robinson Innovation & Technologies LtdUNLISTED
Bartronics Ltd LISTED
Genpact LISTED
TCS LISTED
Wipro LISTED
Infosys LISTED
Microsoft FOREIGN LISTED(USA)
Google FOREIGN LISTED(USA)
8/9/2019 2010 DATA 2nd
121/333
quarters of the f y2009-10.
se, since FIIs generally have cut their weight on Indian markets since the Sensex moved
s that
t segment (excluding promoters shareholding)%
markets,
y are waiting for the dust to settle in global markets. They cannot remain on cash for lon
oldings of FIIs in Indian companies including investments through Global Depository Rec
that was available. The strong primary, qualified institutional placement and block deal
ferings like IPOs and QIPs are offered at a discount so FIIs may have preferred this route
quisition cost. No wonder, block deals within FIIs totalled Rs 30,000 crore in the nine mo
ERNS
W IN INDIAN MARKETS Rs crore
BSE+NSE QIPs IPO FCCBs Others# Total
-4676 6184 7307 5263 11954 26,032
-37683 23972 17992 17053 31239 52,573
-73231 189 7249 1864 15681 -48,248
32822 41572 5649 954 9953 90,950r 2009
a rising market.Mutual funds increased their shareholding from 3.76 per cent to 3.92 pe
l FII investments, a marked change from the previous three financial years when FIIs wer
# Rights issues, preferential allot
8/9/2019 2010 DATA 2nd
122/333
A fingerprint of a person will match with another is one in 10 to the power 8, whereas, in
Today, large Indian corporations want to have desktop solutions to secure data that prov
Security agencies and banks look at biometric applications to offer new-age solutions
8/9/2019 2010 DATA 2nd
123/333
closer to 18,000-levels in the first week of January.
g and will have to put liquidity to work in markets which offer growth and returns, he said
ipts (GDRs) and American Depository Receipts (ADRs) was up 150 basis points to 16.50 pe
ipeline facilitated this.
o put money. QIPs tend to increase free float which increases the weight in indices like M
nths of 2009.
cent. The DIIs preferred mid-cap and small-cap stocks to large-cap ones.
e net sellers (see table) Placements with institutions have been the most prominent sourc
ents etc
8/9/2019 2010 DATA 2nd
124/333
the case of Iris it is one in 10 to the power 78.
ides the biometric login to the system and logical security functionality like encryption and
8/9/2019 2010 DATA 2nd
125/333
.
r cent.
CI and could lead to incremental FII flows.
e of their investments followed by initial public offers and conversion of foreign currency c
8/9/2019 2010 DATA 2nd
126/333
decryption using digital fingerprint technology.
8/9/2019 2010 DATA 2nd
127/333
8/9/2019 2010 DATA 2nd
128/333
8/9/2019 2010 DATA 2nd
129/333
GOVERNMENT OF INDIA
PRESS NOTE
___________________________________________________________________
Note: -
INDEX OF INDUSTRIAL PRODUCTION -
SECTORAL
(Base : 1993-94=100)Month Mining
-104.73
2008-2009 2009-2010
Apr 171.1 176.9
May 177.4 183.4
Jun 158.8 181.4
Jul 161.4 175.5
160.4 178.1
Sep 162.9 174.9Oct 175.1 190.9
Nov 175.4 193.6
Dec* 188.1 206
Jan 188.1
Feb 183.2
Mar 209.8
Average
Subject: Quick Estimates of Index of Industrial Productio
PRESS INFORMATION BUREAU
ated: February 12, 2010
1 The Quick Estimates of Index of Industrial Production (IIP) with base
2. The Indices of Industrial Production for the Mining, Manufacturing an
3. In terms of industries, as many as fourteen (14) out of the seventee
4. As per Use-based classification, the Sectoral growth rates in December 2009 over
5. Alongwith the Quick Estimates of IIP for December 2009, the indices
6. Statements giving Quick Estimates of the Index of Industrial Product
2. The release of the index for January 2010 will be on Friday, 12
Aug
8/9/2019 2010 DATA 2nd
130/333
Apr-Dec 170.1 184.5
Growth over the corresponding period of previous year
Dec 2.2 9.5
Apr-Dec 3.2 8.5
* Indices for Dec 2009 are Quick Estimates.
NOTE : Indices for the months of Sep'2009 and Nov'2009 incorporate updated production
INDEX OF INDUSTRIAL PRODUCTION
(Growth at 2-digit level)
(Base: 1993-94=100)
Industry Description Weight
code
20-21 Food Products 90.8
22 23.8
23 Cotton Textiles 55.2
24 22.6
25 5.9
26 25.4
27 27
28 26.5
29 11.4
30 140
31 57.3
32 44
33 74.5
34 28.1
Beverages, Tobacco andRelated Products
Wool, Silk and man-madefibre textiles
Jute and other vegetablefibre Textiles (exceptcotton)
Textile Products (includingWearing Apparel)
Wood and Wood Products;Furniture and Fixtures
Paper & Paper Products andPrinting, Publishing & AlliedIndustries
Leather and Leather & FurProducts
Basic Chemicals & ChemicalProducts (except productsof Petroleum & Coal)
Rubber, Plastic, Petroleumand Coal Products
Non-Metallic MineralProducts
Basic Metal and AlloyIndustries
Metal Products and Parts,except Machinery andEquipment
8/9/2019 2010 DATA 2nd
131/333
35-36 95.7
37 39.8
38 25.6
1 Mining & Quarrying 104.7
3-Feb Manufacturing 793.64 Electricity 101.7
General Index 1000
DEX OF IND USTRIAL PRODUCTION : USE-BASED
(Base : 1993-94=100)
Basic goods
Month -355.65
2008-2009 2009-2010
Apr 221.3 231.3
May 230.4 239.2
Jun 220.5 244.1
Jul 228.2 238.9
226 243.3
Sep 224.8 236.8
Oct 234.4 245.2
Nov 225.6 238.5
Dec* 234.6 252.1
Jan 233.6Feb 226.2
Mar 251.1
Average
Apr-Dec 227.3 241
Growth over the corresponding period of previous year
Dec 2 7.5
Apr-Dec 3.4 6
* Indices for Dec 2009 are Quick Estimates.
NOTE : Indices for the months of Sep'2009 and Nov'2009 incorporate updated production
DEX OF INDUSTRIAL PRODUCTION : USE-BASED
(Base : 1993-94=100)
equipment
Transport Equipment andParts
Other ManufacturingIndustries
Aug
8/9/2019 2010 DATA 2nd
132/333
Consumer goods
Month -286.64
2008-2009 2009-2010
Apr 315.6 301
May 310.3 306.9
Jun 293.2 306.2
Jul 290.8 318.9283.9 314.8
Sep 293.7 322.3
Oct 278.1 311.2
Nov 299.2 334.9
Dec* 326.1 365.1
Jan 347.2
Feb 323.3
Mar 328.1
Average
Apr-Dec 299 320.1
Growth over the corresponding period of previous year
Dec 1.7 12
Apr-Dec 6.1 7.1
* Indices for Dec 2009 are Quick Estimates.
NOTE : Indices for the months of Sep'2009 and Nov'2009 incorporate updated production
OF INDUSTRIAL PRODUCTION - ANNUAL AVERAGES
(2-DIGIT LEVEL)
(Base: 1993-94=100)
Industry Description Weight
code
20-21 Food Products 90.8
22 23.823 Cotton Textiles 55.2
24 22.6
25 5.9
26 25.4
Aug
Beverages, Tobacco and
Related Products
Wool, Silk and man-madefibre textiles
Jute and other vegetablefibre Textiles (exceptcotton)
Textile Products (includingWearing Apparel)
8/9/2019 2010 DATA 2nd
133/333
27 27
28 26.5
29 11.4
30 140
31 57.3
32 44
33 74.5
34 28.1
35-36 95.7
37 39.8
38 25.6
1 Mining & Quarrying 104.7
3-Feb Manufacturing 793.6
4 Electricity 101.7
General Index 1000
DEX OF INDUSTRIAL PRODUCTION - MONTHWISE
(2-DIGIT LEVEL)
(Base: 1993-94=100)
Industry Description Weight
code
20-21 Food Products 90.8
22 23.823 Cotton Textiles 55.2
24 22.6
25 5.9
26 25.4
Wood and Wood Products;Furniture and Fixtures
Paper & Paper Products andPrinting, Publishing & AlliedIndustries
Leather and Leather & FurProducts
Basic Chemicals & ChemicalProducts (except productsof Petroleum & Coal)
Rubber, Plastic, Petroleumand Coal Products
Non-Metallic MineralProducts
Basic Metal and AlloyIndustries
Metal Products and Parts,except Machinery andEquipment
Machinery and Equipmentother than Transportequipment Parts
Other ManufacturingIndustries
Beverages, Tobacco and
Related Products
Wool, Silk and man-madefibre textiles
Jute and other vegetablefibre Textiles (exceptcotton)
Textile Products (includingWearing Apparel)
8/9/2019 2010 DATA 2nd
134/333
27 27
28 26.5
29 11.4
30 140
31 57.3
32 44
33 74.5
34 28.1
35-36 95.7
37 39.8
38 25.6
1 Mining & Quarrying 104.7
3-Feb Manufacturing 793.6
4 Electricity 101.7
General Index 1000
DEX OF INDUSTRIAL PRODUCTION - MONTHWISE
(2-DIGIT LEVEL)
(Base: 1993-94=100)
Industry Description Weight
code
20-21 Food Products 90.8
22 23.8
23 Cotton Textiles 55.2
24 22.6
25 5.9
26 25.4
Wood and Wood Products;Furniture and Fixtures
Paper & Paper Products andPrinting, Publishing & AlliedIndustries
Leather and Leather & FurProducts
Basic Chemicals & ChemicalProducts (except productsof Petroleum & Coal)
Rubber, Plastic, Petroleumand Coal Products
Non-Metallic MineralProducts
Basic Metal and AlloyIndustries
Metal Products and Parts,except Machinery andEquipment
Machinery and Equipmentother than Transportequipment
Transport Equipment andParts
Other ManufacturingIndustries
Beverages, Tobacco andRelated Products
Wool, Silk and man-madefibre textiles
Jute and other vegetablefibre Textiles (exceptcotton)
Textile Products (includingWearing Apparel)
8/9/2019 2010 DATA 2nd
135/333
27 27
28 26.5
29 11.4
30 140
31 57.3
32 44
33 74.5
34 28.1
35-36 95.7
37 39.8
38 25.6
1 Mining & Quarrying 104.7
3-Feb Manufacturing 793.6
4 Electricity 101.7
General Index 1000
Wood and Wood Products;Furniture and Fixtures
Paper & Paper Products andPrinting, Publishing & AlliedIndustries
Leather and Leather & FurProducts
Basic Chemicals & ChemicalProducts (except productsof Petroleum & Coal)
Rubber, Plastic, Petroleumand Coal Products
Non-Metallic MineralProducts
Basic Metal and AlloyIndustries
Metal Products and Parts,except Machinery andEquipment
Machinery and Equipmentother than Transportequipment
Transport Equipment andParts
Other ManufacturingIndustries
8/9/2019 2010 DATA 2nd
136/333
Manufacturing Electricity General
-793.58 -101.69 -1000
2008-2009
285 286.1 218.2 233.6 266.3 269.3
293.1 298.5 230.1 237.6 274.6 280.3
290.4 313.5 217.1 234.4 269.2 291.6
291.6 313.1 225.9 235.4 271.3 290.8
284 314 221.6 245.1 264.7 292.8
298.4 327.2 219.3 235.8 276.2 302278.6 309.4 231.2 242 262.9 290.1
286.3 323.2 216.4 220.4 267.6 299.2
304.5 360.7 223.1 235.2 284 331.7
304.8 227.9 284.8
297.4 212.7 276.8
326.9 241.3 305.9
n and Use-based Index (Base 1993-94=100) for the month of Dec
New Delhi
1993-94 for the month of December 2009 have been released by the Cen
d Electricity sectors for the month of December 2009 stand at 206.0, 360
(17) industry groups (as per 2-digit NIC-1987) have shown positive grow
December 2008 are 7.5% in Basic goods, 38.8% in Capital goods and 21.7% in Interm
for November 2009 have undergone the first revision and those for Sept
ion at Sectoral, 2-digit level of National Industrial Classification (NIC)-198
arch 2010.
2009-2010
2008-2009
2009-2010
2008-2009
2009-2010
8/9/2019 2010 DATA 2nd
137/333
290.2 316.2 222.5 235.5 270.8 294.2
-0.6 18.5 1.6 5.4 -0.2 16.8
3.6 9 2.7 5.8 3.6 8.6
data.
Dec'2008 Dec'2009 Apr-Dec Dec'2009 Apr-Dec
277.4 258.3 164 151.9 -6.9 -7.4
633.9 637.2 581.5 573.7 0.5 -1.3
164.5 168.7 162 167.3 2.6 3.3
298 309.4 275.8 309.3 3.8 12.1
43.2 53.8 106.5 90.2 24.5 -15.3
302.2 333 307.6 337.6 10.2 9.8
104.1 114.9 117.8 128 10.4 8.7
264.2 274.8 262.4 268.2 4 2.2
171.6 171.5 159.6 160.8 -0.1 0.8
289.9 374 322.2 361 29 12
244.7 297.3 237.3 271.6 21.5 14.5
344.5 372.8 323.3 344.4 8.2 6.5
330.1 349.3 324.8 339.4 5.8 4.5
170.8 190.7 166 174.7 11.7 5.2
Index Indexgrowth
2008-2009
2009-2010
2009-2010
8/9/2019 2010 DATA 2nd
138/333
421.3 609.4 414.8 480.3 44.6 15.8
295.9 539.1 383.2 459.1 82.2 19.8
570.5 516.6 361.8 393.3 -9.4 8.7
188.1 206 170.1 184.5 9.5 8.5
304.5 360.7 290.2 316.2 18.5 9223.1 235.2 222.5 235.5 5.4 5.8
284 331.7 270.8 294.2 16.8 8.6
Capital goods Intermediate goods
-92.57 -265.14
2008-2009
313 294.4 256.9 277.2
349 336.5 269.1 286.9
386.3 438 267.5 288.5
374.3 380.8 271.9 298.6
372 406.4 258.3 295.6
470.2 533.6 258.2 286.5
365.7 405.9 249.1 287
394 440.4 245.7 292.7
448.1 621.8 247.5 301.1
394.2 247.5398.9 251.6
508.9 284.5
385.8 428.6 258.2 290.5
6.6 38.8 -8.9 21.7
8.2 11.1 -1.7 12.5
data.
2009-2010
2008-2009
2009-2010
8/9/2019 2010 DATA 2nd
139/333
Consumer durables
-53.65 -232.99
2008-2009
352.9 415 307 274.8
391 442.5 291.7 275.7
374.4 435 274.5 276.5
400.5 489.1 265.6 279.7394.5 491.8 258.4 274.1
445.9 553.5 258.6 269.1
424.8 510.5 244.3 265.3
369.5 511.5 283 294.2
338.9 494.7 323.2 335.3
391.3 337.1
412.9 302.7
442.9 301.7
388 482.6 278.5 282.7
-4.2 46 3.2 3.7
4.1 24.4 6.7 1.5
data.
1999-00 2000-01 2001-02 2002-03 2003-04 2004-05 2005-06 2006-07
140.3 154.5 152 168.7 167.9 167.3 170.6 185.2
192.1 200.4 224.8 287.6 312.1 345.9 400.3 444.5123.7 127.3 124.5 121.2 117.4 126.3 137 157.3
197.8 209.3 218.5 225.1 240.5 249 248.9 268.4
105 105.8 99.6 107.9 103.4 107.2 107.7 90.7
156.1 162.4 166.3 190.3 184.3 219.6 255.5 285
durables
2009-2010
2008-2009
2009-2010
8/9/2019 2010 DATA 2nd
140/333
101.4 104.3 92.8 76.5 81.7 74.8 70.5 91
180.5 164 169 180.5 208.7 230.7 228.6 248.6
135.5 150 158 152.9 147 156.9 149.3 150.2
164.6 176.6 185 191.8 208.4 238.6 258.5 283.4
137.2 153.4 170.4 179.7 187.7 192.2 200.5 226.3
220.8 218.2 220.7 232 240.6 244.3 271.1 305.8
146.9 149.6 156 170.4 186 196.1 227 278.9
137.8 158.5 142.6 151.7 157.3 166.3 164.4 183.2
182.5 195.8 198.3 201.4 233.3 279.4 312.8 357.1
194.1 190.3 203.3 232.9 272.6 283.7 319.7 367.7
142.5 159.1 173.2 173.3 186.6 221.2 276.9 298.4
126.7 130.3 131.9 139.6 146.9 153.4 154.9 163.2
159.4 167.9 172.7 183.1 196.6 214.6 234.2 263.5
148.5 154.4 159.2 164.3 172.6 181.5 190.9 204.7
154.9 162.6 167 176.6 189 204.8 221.5 247.1
Jan'2009 Feb'2009 Mar'2009 Apr'2009 Jun'2009
275.7 218.4 176.8 139.7 136 130.1
560 549.8 599.2 583.1 609.9 581.7158.5 151 163.3 163.1 165.2 165.4
285.6 297.4 309.7 320 287.3 312.4
108.9 114.6 120.9 112 85 75.1
301.8 323.4 356 349.3 336.3 327.5
9
8/9/2019 2010 DATA 2nd
141/333
103 103 120.3 132.3 115.6 135.6
248.6 233.1 277.5 239.6 262.5 274.7
166.8 138.3 133.7 131.6 162.5 188.5
340 324.4 351.6 338.7 354.6 360.2
245.3 250.5 279.1 251.6 266.6 266.6
320.2 319.9 374.1 348.3 348.7 351.5
322.5 317.7 337.7 317.7 331.9 356.6
181 142.2 173.8 147.5 154.1 154.5
436.5 447.2 532.6 375.1 412.3 482.1
345.1 378.9 482.2 393.2 413.7 426.9
327 359.1 364.3 263.7 320.5 386.1
188.1 183.2 209.8 176.9 183.4 181.4
304.8 297.4 326.9 286.1 298.5 313.5
227.9 212.7 241.3 233.6 237.6 234.4
284.8 276.8 305.9 269.3 280.3 291.6
Jul'2009 Aug'2009 Sep'2009 Oct'2009 Nov'2009 Dec'2009
131.3 126.9 123.6 134.1 187 258.3
568 529.3 520.1 539.5 594.3 637.2
166.5 170.1 168.2 167.9 170.7 168.7
326.3 309.8 291.1 316.9 310.5 309.4
85 104.7 102.5 95.2 98.3 53.8
343.6 347.3 332 331.3 338.2 333
8/9/2019 2010 DATA 2nd
142/333
125.8 150.3 123.3 138.7 115.1 114.9
274.4 267.4 271.9 272.7 275.9 274.8
196.6 155.4 145.6 147.7 147.7 171.5
372.9 375.5 373.9 345.1 354 374
272.2 281.2 256.7 267.6 284.4 297.3
350.9 336 320.7 336.3 334.2 372.8
341.3 342.8 337.5 339.9 337.4 349.3
185.4 163.2 203.9 186.3 186.9 190.7
455.1 474 557.6 475.4 481.7 609.4
455 464.8 488.2 460.2 491.1 539.1
344.2 347.6 552.9 375.7 432.2 516.6
175.5 178.1 174.9 190.9 193.6 206
313.1 314 327.2 309.4 323.2 360.7
235.4 245.1 235.8 242 220.4 235.2
290.8 292.8 302 290.1 299.2 331.7
8/9/2019 2010 DATA 2nd
143/333
mber, 2009.
tral Statistical Organisation of the Ministry of Statistics and Programme Impl
.7, and 235.2 respectively, with the corresponding growth rates of 9.5%, 18.
th during the month of December 2009 as compared to the corresponding m
diate goods. The Consumer durables and Consumer non-durables have recorded growth o
mber 2009 have undergone the second (final) revision in the light of the up
and by Use-based classification for the month of December 2009, along wit
8/9/2019 2010 DATA 2nd
144/333
8/9/2019 2010 DATA 2nd
145/333
8/9/2019 2010 DATA 2nd
146/333
2007-08 2008-09
198.2 178.9
498 578.5164 160.9
281.2 281.2
120.7 108.6
295.5 312.5
8/9/2019 2010 DATA 2nd
147/333
127.9 115.6
255.3 260
167.8 156.3
313.4 326.3
246.4 242.6
323.2 327
312.7 325.1
172.9 165.9
394.4 429.1
378.4 387.9
357.4 358.9
171.6 176
287.2 295.1
217.7 223.7
268 275.4
8/9/2019 2010 DATA 2nd
148/333
8/9/2019 2010 DATA 2nd
149/333
8/9/2019 2010 DATA 2nd
150/333
mentation. The General Index stands at 331.7, which is 16.8% higher as co
% and 5.4% as compared to December 2008. The cumulative growth during
onth of the previous year. The industry group Transport Equipment and Par
f 46.0% and 3.7% respectively, with the overall growth in Consumer goods being 12.0%.
ated data received from the source agencies. (It may be noted that revised
h the growth rates over the corresponding month of previous year, including
8/9/2019 2010 DATA 2nd
151/333
8/9/2019 2010 DATA 2nd
152/333
8/9/2019 2010 DATA 2nd
153/333
8/9/2019 2010 DATA 2nd
154/333
8/9/2019 2010 DATA 2nd
155/333
8/9/2019 2010 DATA 2nd
156/333
8/9/2019 2010 DATA 2nd
157/333
pared to the level in the month of December 2008. The cumulative growth f
April-December, 2009-10 over the corresponding period of 2008-09 in the t
s have shown the highest growth of 82.2%, followed by 44.6% in Machiner
ndices (first revision) in respect of October 2009 have already been release
the cumulative indices and growth rates, are enclosed.
8/9/2019 2010 DATA 2nd
158/333
8/9/2019 2010 DATA 2nd
159/333
8/9/2019 2010 DATA 2nd
160/333
8/9/2019 2010 DATA 2nd
161/333
8/9/2019 2010 DATA 2nd
162/333
8/9/2019 2010 DATA 2nd
163/333
8/9/2019 2010 DATA 2nd
164/333
or the period April-December 2009-10 stands at 8.6% over the correspondin
ree sectors have been 8.5%, 9.0% and 5.8% respectively, which moved the
y and Equipment other than Transport Equipment and 29.0% in Basic Chem
in January 2010 and these indices shall undergo final (second) revision in M
8/9/2019 2010 DATA 2nd
165/333
8/9/2019 2010 DATA 2nd
166/333
8/9/2019 2010 DATA 2nd
167/333
8/9/2019 2010 DATA 2nd
168/333
8/9/2019 2010 DATA 2nd
169/333
8/9/2019 2010 DATA 2nd
170/333
8/9/2019 2010 DATA 2nd
171/333
period of the pervious year.
overall growth in the General Index to 8.6%.
icals & Chemical Products (except products of Petroleum & Coal). On the o
rch 2010).
8/9/2019 2010 DATA 2nd
172/333
8/9/2019 2010 DATA 2nd
173/333
8/9/2019 2010 DATA 2nd
174/333
8/9/2019 2010 DATA 2nd
175/333
8/9/2019 2010 DATA 2nd
176/333
8/9/2019 2010 DATA 2nd
177/333
8/9/2019 2010 DATA 2nd
178/333
her hand, the industry group Other Manufacturing Industries have shown a
8/9/2019 2010 DATA 2nd
179/333
8/9/2019 2010 DATA 2nd
180/333
8/9/2019 2010 DATA 2nd
181/333
8/9/2019 2010 DATA 2nd
182/333
8/9/2019 2010 DATA 2nd
183/333
8/9/2019 2010 DATA 2nd
184/333
8/9/2019 2010 DATA 2nd
185/333
negative growth of 9.4% followed by 6.9% in Food Products and 0.1% in L
8/9/2019 2010 DATA 2nd
186/333
8/9/2019 2010 DATA 2nd
187/333
8/9/2019 2010 DATA 2nd
188/333
8/9/2019 2010 DATA 2nd
189/333
8/9/2019 2010 DATA 2nd
190/333
8/9/2019 2010 DATA 2nd
191/333
8/9/2019 2010 DATA 2nd
192/333
ather and Leather & Fur Products
8/9/2019 2010 DATA 2nd
193/333
8/9/2019 2010 DATA 2nd
194/333
8/9/2019 2010 DATA 2nd
195/333
8/9/2019 2010 DATA 2nd
196/333
8/9/2019 2010 DATA 2nd
197/333
8/9/2019 2010 DATA 2nd
198/333
8/9/2019 2010 DATA 2nd
199/333
STRIKE 4000 4100 4200 4300 4400 4500 4600 4700
C1
No 85 165.5 417.5 668.5 124.5
%
P1
No 23.5 62 34 321 524.3
%
8/9/2019 2010 DATA 2nd
200/333
8/9/2019 2010 DATA 2nd
201/333
S&P Composite Return
rn Index Bull and Bear Markets 1914-2002
Market Top Index High % Increase
9/1/2000 2108.76 62.30%
7/17/1998 1601.08 391.00%
7/16/1990 403.46 80.60%
8/25/1987 332.96 305.30%
11/28/1980 102.88 204.30%
1/5/1973 61.53 89.20%
11/29/1968 48.36 58.70%
2/9/1966 37.78 98.40%
12/12/1961 26.01 115.10%
7/15/1957 15.08 517.30%
5/29/1946 3.27 214%
11/9/1938 1.58 66.80%
3/10/1937 1.95 148.60%
2/6/1934 1.1 120.90%
9/7/1932 0.82 115.40%
9/7/1929 2.34 657.10%11/3/1919 0.42 79.90%
11/18/1916 0.38 77.20%
S&P Composite
e Index Bull and Bear Markets 1914-2002
Market Top Index High % Increase
3/24/2000 1527.46 59.60%
7/17/1998 1190.58 304.30%
7/16/1990 369.78 67.10%
8/9/2019 2010 DATA 2nd
202/333
8/25/1987 337.89 233.10%
11/28/1980 140.52 61.70%
9/21/1976 107.83 73.10%
1/5/1973 119.87 73.00%
11/29/1968 108.37 48.00%
2/9/1966 94.06 79.80%
12/12/1961 72.64 86.40%
8/2/1956 49.75 267.20%
5/29/1946 19.25 157.70%
11/9/1938 13.79 62.20%
3/10/1937 18.68 131.80%
7/18/1933 12.2 120.60%
9/7/1932 9.31 111.10%
9/7/1929 31.86 408.90%
7/16/1919 9.64 60.70%
11/20/1916 10.55 59.10%
ear Markets, Past and Present
Bryan Taylor, Presidentbal Financial Data, Inc.
The plunge in the markets du
But, you might ask, when do
There is general consensus
The S&P 500 Composite is u
The third question is more co
For example, the 1920s bull
Daily data for the S&P Comp
First, using total returns redu
Second, using total returns c
The overall impact is to short
What do we find out from this
8/9/2019 2010 DATA 2nd
203/333
The average bear market showed a decrease of 32.
To put the current bear market in perspective, only t
The extent of the decline in stocks has been similar
The decline in the stock market has had a dramatic
The last time the equity premium had been over 9%
On the other hand, the equity risk premium now is oOne of the current fears is that stocks will continue t
Below, we provide the history of bull and bear mark
ial Data Guide to Bull and Bear Markets
Bryan Taylor, President
bal Financial Data, Inc.
Because the world is currentl
Information on bull and bear
1. A history of bull and bear markets in the major s
2. A history of bull and bear markets on a total retu
3. A history of bull and bear markets on a total retu
By providing information on other countries, investo
Similarly, adjusting for inflation is also important. In
The one variable we do not factor in is taxes. Tax r
When is a Bull a Bull and a Bear a Bear?
At what point does a bull mar
Bull and bear markets are m
Some bear markets are short. Bad news creates a
Longer bear markets are actually a combination of
Markets may take time to for
Determining exact tops and bottoms is an even gre
The timing of the top also de
8/9/2019 2010 DATA 2nd
204/333
As we demonstrated above,
To see why this is important, lets take the example
We exclude most rallies withi
Our definition of a bull or bear market is that during
One important trend to notice is that the timing of buWe have included data for the most recent market b
Bull and Bear Market Information
For each country, we provide
1. Bull and Bear Markets for the Broadest Price In
2. Bull and Bear Markets for the Broadest Return I
3. Bull and Bear Markets for the Broadest Return I
In some cases, the current stock market index, whic
For each market index we provide information on
We include information on all G-7 countries (Canad
Finally, we provide summary
Australia
Australia shows a low correla
The 1972-1974 bear market
The return data indicate that Australia enjoyed a co
The definition of bull and bea
1. The date of the market top.
2. The value of the index at the m3. The percentage change in the i
4. The length in time in calendar d
8/9/2019 2010 DATA 2nd
205/333
Canada
Canadas economy is tied to
Canada suffered its worst sto
Europe
The European stock index us
Several things should be not
Data from the 1940s should be taken with a grain of
Since 1949, European stocks have provided compa
France
The Paris stock exchange ha
France participated in the economic boom of the 19
Since 1950, French stocks have done relatively well
Germany
The Great Depression produced a less severe, but
Since 1950, German stocks have performed relativ
Italy
Inflation should be considere
The 2000-2002 bear market will mark the tenth time
Japan
German stock market data arGermany had more severe st
Italian stocks were the worst
Japans stock market has sh
8/9/2019 2010 DATA 2nd
206/333
Japans worst single bear ma
Severely oversold in 1949, th
The United Kingdom
London provides the longestWe use three indices for the
The United States
The United States is the cou
The Dow Jones Industrials Average is used both be
The S&P 500 Composite is a better benchmark of t
The bursting of
1957 Concerns over
The two primary crashes bef
A brief history of the principal causes of past bear m
1835-1843 The first real panic
1847-1848 The crisis in Europe
1852-1857 A default in Californi
1864-1865 The Civil War ende
1872-1877 The failure of Jay C
1881-1885 The market initially f1887-1896 Railroad wars, silve
1901-1903 The Nipper Panic
1907
1912-1914 Pre-World War jitter
1916-1917 Investors were scar
1919-1921 Post-World War I D
1929-1932 The 1929 Stock Ma
1934-1935 The market falls ba
1937-1938 Recession within th
1938-1942 World War II Begins
1946-1947 Post-World War II R
1961-1962 The Kennedy Pani
8/9/2019 2010 DATA 2nd
207/333
1987 An overvalued
1990 The Gulf War b1998 Russia defaults
2000-2002 The Internet bubble, an over
The US stock market has be
Adjusting for dividends and in
The US stock market was in
After 1982, the US stock mar
World
The MSCI World Index has b
If President Obama's 2011 budget were put i
{as per preliminary analysis from the Congre
Interest alone $ 5.6 trillion
Rest $ 4.6 trillion
Total $ 9.8 trillion
By 2020, the agency estimates debt held by t
That's up from 53% of GDP in 2009
Obama vowed last month to "get much tough
Critics say the yuan is undervalued by up to
The yuan's value was tied to the dollar for de
Commerce Minister Chen Deming said export
1968-1970 Concerns over Viet
1973-1974 OPEC, Watergate, i
1976-1978 Stagflation, budget
1980-1982 High interest rates, t
Measured on a global basis,
The relative weakness in Eur
8/9/2019 2010 DATA 2nd
208/333
Under crisis conditions, we do not rule out th
Zhou ( said at a news conference)
that while such a policy would be "withdrawn
G3
W--2 Easy Money In China
A credit-fueled investment boom succes
But cheap money drove up asset prices
Loose money is now set to become inflaChina's monetary policy has shifted towbut it will have to tighten further if inflati
The People's Bank of China (PBoC) has tbut we suspect that (1)the tightening m(2)China has not yet started to tighten li
It will be difficult, however, for the centreven if it had the political backing to do
There are RMB 1.2 trillion in central ban
Still, we expect the gradual tightening oRising inflationary pressures are likely tLending to grow by around 20%, slower
The Chinese monetary exit strategy coul
Nouriel Roubini, a professor at the Stern
I-1 Deutsche Bank,
India govt. put in place some hard numbers in
W--1Easy Money In
8/9/2019 2010 DATA 2nd
209/333
It is important now to convince investors that
In 2010 we are looking at 4 or 5 interest rate i
Given what is happening on the inflation
Eastern Europe at this point? How large is
India went through this almost 20 years ago,the rest of Asia only about 12 years ago
The financial sector problem very quickly lead
To some extent, governments socialize the fin
Greece alone as an economy is not important.
The danger is that Greeces fiscal problems s
Then in the European context becomes Spain
It is at that point when the contagion spills out
that it becomes relevant for India and other A
One is that they directly affect the growth pros
We have in fact, shaded very slightly th
Secondly, for a country like India, if investors
So that is Second Avenue of pure financial co
but they maybe forced to bring capital b
Our judgement would be that we are not seein
Marc Faber
Greece will be bailed out indirectly by the Eur
and these bonds will then be bought by the pu
But he doesnt think it will work out.
In 10 years time, I would estimate that betwee
I think other countries like Spain, Portugal will
8/9/2019 2010 DATA 2nd
210/333
and it will lead to more monetisation in
W-- China overheating fears growChina CPI inflation hits 16-month high
Consumer price inflation
Annual factory-gate inflati
Low base of comparison f
Industrial output, investment growth
beat forecasts
Factory output
retail sales
(such as roads and facto
*Only slowed from a year
[.:] central bank would wait a
The rate at which
the central bank (RBI)
lends money to commerci
borrows money from ''
RBI has hiked the repo & reverse
RAISING THE STAKES
Repo
Effective Rate
date (%)
Jun 24 08 8.5
Jul 29 08 9
Oct 20 08 8
Nov 3 08 7.5
Dec 8 08 6.5
Jan 2 09 5.5
Mar 4 09 5
urban investment in fixed
19/03/2010 (at 19:18hrs
8/9/2019 2010 DATA 2nd
211/333
Apr 21 09 4.75
Mar 19 10 5
Todays move by RBI is the first in
Since October, 2008, RBI started t
INDIA joined central banks in AustThe US Federal Reserve and the E
has projected a 125-basis point in
Expect RBI to raise the repo & rev
An act to curb inflationary expecta
The increase in rates was not exp
In India, banks are expected to wa
There may not be an immediate
There has already been some pr
RBI drew comfort from pick-up in t
and resource mobilisation by the c
At the same time,RBI said: The r
A signal from RBI that money will
The RBI move is also unlikely to i
As interest rates have just started
US stocks drop as India raises
US stocks declined, ending an eig
8/9/2019 2010 DATA 2nd
212/333
Market Bottom Index Low % Decrease
07/23/2002? 1134.01 -46.20%
10/8/1998 1299.44 -18.80%
10/17/1990 326.08 -19.20%
10/19/1987 223.45 -32.90%
8/12/1982 82.14 -20.20%
10/3/1974 33.81 -45.10%
5/26/1970 35.53 -32.70%
10/7/1966 30.48 -19.30%
6/26/1962 19.04 -26.80%
10/22/1957 12.09 -19.80%
5/17/1947 2.44 -25.30%
4/28/1942 1.04 -33.90%
3/31/1938 0.95 -51.50%
3/14/1935 0.78 -28.90%
2/27/1933 0.5 -38.90%
6/1/1932 0.38 -83.80%8/24/1921 0.31 -26.30%
12/19/1917 0.23 -38.40%
Oct-14 0.21 -26.70%
Market Bottom % Decrease
07/23/2002? 847.75 -44.50%
10/8/1998 957.28 -19.60%
10/17/1990 294.51 -20.40%
IndexBottom
8/9/2019 2010 DATA 2nd
213/333
12/4/1987 221.24 -34.50%
8/12/1982 101.44 -27.80%
3/6/1978 86.9 -19.40%
10/3/1974 62.28 -48.00%
5/26/1970 69.29 -36.10%
10/7/1966 73.2 -22.20%
6/26/1962 52.32 -28.00%
10/22/1957 38.98 -21.60%
6/13/1949 13.55 -29.60%
4/28/1942 7.47 -45.80%
3/31/1938 8.5 -54.50%
3/14/1935 8.06 -33.90%
2/27/1933 5.53 -40.60%
7/8/1932 4.41 -86.20%
8/24/1921 6.26 -35.10%
12/19/1917 6 -43.10%
Oct-14 6.63 -37.50%
ring the past week has pushed the United States stock market into i
ull and bear markets begin and end? What index should be used to
n the first two questions. Bull and bear markets are determined by l
sually used to determine the dimensions of bull and bear markets.
ntroversial. Analysis of bull and bear markets in the past has alway
arket topped out on September 7, 1929. If someone had invested
site Total Return Index exists back to 1988, and monthly data exist
es the size of the declines during bear markets and increases the r
anges the timing of the bull market tops and the bear market botto
n the length of bear markets and increase the length and size of bu
history of bull and bear markets based upon total returns? Since th
8/9/2019 2010 DATA 2nd
214/333
7% and lasted 1 year and 2 months. . The shortest bear market wa
wo bear markets have lasted longer than this one, the 1929-1932 a
throughout the world. The Morgan Stanley Capital International Wo
impact on the equity risk premiumthe difference between the yield
in the United States had been in 1967. However, times when the e
nly 1% for the ten years through July 2002. The last two times wheo underperform bonds in the future, as they have during the past thr
ts in the United States since 1914 on both a total return and on a pr
experiencing one of its worst bear markets since the Great Depres
arkets in the United States is readily available from other sources,
tock markets outside of the United States
rn basis
rn, inflation-adjusted basis
s can see how the United States stock market has performed relativ
lation has been higher since World War II, and was especially stron
tes vary from one country to another, vary from state to state, vary
ket become a bull market and a bear market become a bear market
asured from the highest closing value on an index to the lowest clo
panic and stocks sell off suddenly. When no more bad news comes
maller sell offs markets as bad news succeeds bad news. The bea
bottoms or make tops, sometimes of two years or more. This mak
ter problem before the 1960s because many countries did not keep
ends upon the index that is used. Take the current bear market in t
8/9/2019 2010 DATA 2nd
215/333
easuring the size of a bull or bear market differs dramatically depe
of someone who had invested at the top of the market in 1929. The
n a downtrend from our definition of bull markets. For example, in e
bull market, the market must rise by at least 40%, preferably to a n
ll and bear markets has become much better coordinated betweenottom or top in each country. The most recent data should not be ta
the following information:
ex
dex
dex Adjusted for Inflation
h covers the broadest range of stocks in that country, lacks sufficien
, France, Germany, Italy, Japan, United Kingdom and the United St
statistics on the largest, smallest and average bull and bear market
tion with other stock markets because of its greater dependence on
roved to be the worst for Australia in this century. The declines