Tag: returns

Doodh Ka Doodh Pani ka Pani

Recommendations on Media

Analysts, brokers and pundits often appear on financial media with a ready list of stocks that investors should buy. Some of them are collated into lists by the Economic Times, Money Control, etc. We turn these lists into equally weighted portfolios and track them. We call them Doodh Ka Doodh Pani ka Pani.

Doodh ya Pani?

We look at 260 trading days worth of returns of these portfolios and compare them with NIFTY and MIDCAP 100 FREE returns during the same time period. 260 trading days approximates to one calendar year — a tax-free holding period and an upper limit of an average retail investor’s patience with investment tips.

Analyst Theme Created # stocks Nifty Returns MidCap Returns Analyst Returns Out perf. Wrt. MidCap
CS Midcap 28-Aug-2013
2013Aug29
10
50.61
78.67
126.56
47.88
Exporters – ET 2013-09-04
2013Sep04
10
46.27
70.81
71.65
0.84
Prabhudas Lilladher Midcap 10-Sept-2013
2013Sep10
8
34.74
65.09
105.12
40.02
Prabhudas Lilladher Largecap 13-Sept-2013
2013Sep13
15
36.06
63.04
41.15
-21.89
Bharat
2013Oct07
13
41.18
66.12
47.48
-18.65
Microsec’s Diwali picks – 2013
2013Nov01
9
35.16
63.66
45.71
-17.95
Globe’s Diwali picks – 2013
2013Nov01
10
35.16
63.66
44.51
-19.14
Prabhudas Lilladher’s Diwali picks – 2013
2013Nov02
5
36.53
64.02
61.71
-2.31
Kotak’s Diwali picks – 2013
2013Nov04
11
36.53
64.02
63.41
-0.61
Emkay 2013-11-12
2013Nov12
9
38.59
65.21
119.78
54.57
Ashwani Gujral 2013-11-12
2013Nov12
5
38.59
65.21
173.85
108.64
Sharekhan 15-Nov-2013
2013Nov15
11
32.88
60.08
30.37
-29.71
UBS 2013-12-04
2013Dec04
9
34.44
64.19
94.21
30.03
Morgan Stanley Fragmented Election 2013-12
2013Dec06
12
34.11
63.52
33.24
-30.28
Morgan Stanley Strong Election 2013-12
2013Dec06
13
34.11
63.52
29.55
-33.97
Merrill 2014
2013Dec12
10
33.50
65.36
122.21
56.85
Espirito Santo Silver Bullets 2013-12-26
2013Dec26
7
38.49
62.25
54.96
-7.28
IIFL Micaps for 2014 2013-12-27
2013Dec27
10
38.26
61.32
86.04
24.72
SMC 2013-12-28
2013Dec28
10
39.27
62.15
59.22
-2.93
Religare Top 4 for 2014
2014Jan01
4
41.40
61.99
58.37
-3.62
Macquarie – Midcaps 2014-01-21
2014Jan21
5
39.53
67.20
97.08
29.88
Mitesh Thacker Midcaps 2014-1-30
2014Jan30
10
42.97
74.34
55.54
-18.80
Dolat Capital’s 10 Hidden Gems 2014-02
2014Feb27
10
32.90
63.58
43.24
-20.34
Prabhudas Lilladher’s LargeCap Picks 2014-03
2014Mar21
10
30.11
58.61
30.01
-28.60
ET Top Midcap 2014-03
2014Mar21
10
30.11
58.61
77.74
19.13
ET 2014-04
2014Apr10
10
20.53
41.41
47.66
6.24
Religare Retail Lucky 13 mid-cap redux
2014May06
13
23.88
47.47
48.49
1.02
Nomura 2014-04
2014May06
11
23.88
47.47
52.66
5.18
Religare Retail Lucky 13 mid-cap redux
2014May06
13
23.88
47.47
71.38
23.91
Sharekhan 20 midcaps 2014-05
2014May21
20
10.06
23.15
24.99
1.83
Microsec Agri 2014-06
2014Jun30
10
13.43
23.13
27.99
4.86
Lucky 13 2014-07
2014Jul02
16
10.31
19.73
24.04
4.30
Hidden Gems 2014-08
2014Aug25
7
-0.43
16.06
48.18
32.12
Globe Diwali Picks 2014
2014Oct22
11
-2.66
12.41
-17.22
-29.63
Kotak Diwali Picks 2014
2014Oct22
9
-2.66
12.41
14.36
1.95
ET Diwali Picks 2014
2014Oct22
10
-2.66
12.41
-1.88
-14.29
SPA stock bets 2014-11
2014Nov24
16
-10.07
5.64
-23.78
-29.42
ET Top 10 Dec-2014
2014Dec22
10
-8.68
8.03
-6.34
-14.37
Beg Borrow Steal
2015Jan06
7
-8.67
-0.85
-33.05
-32.20
CLSA 9 for 2015
2015Jan06
8
-8.67
-0.85
-14.13
-13.28
Midcaps for 2015
2015Jan06
16
-8.67
-0.85
15.93
16.78
Espirito Santos Silver bullets Jan-2015
2015Jan12
8
-9.12
-1.37
-6.87
-5.49
Mixed bag 2015-01
2015Jan20
9
-15.05
-4.53
-29.21
-24.68
Rate Sensitive 2015-Jan
2015Feb03
15
-17.07
-8.89
-23.66
-14.77
Rail Budget 2015
2015Feb26
17
-14.09
-4.67
-26.97
-22.31
Sharekhan Top 12 April-2015
2015Apr06
12
-8.05
0.03
-2.88
-2.91
Smart City Stocks ET April-2015
2015Apr30
15
-4.87
2.75
9.00
6.25

Observations

Of the 47 lists we analyzed, the average out-performance was about +1.5% (vs. the MidCap index.)

We created two Themes out of the stocks in ‘Religare Retail Lucky 13 mid-cap redux.’ One was a minimum variance portfolio and the other one was an equal-weighted portfolio. The minimum variance portfolio out-performed the equal-weighted one. Food for thought.

Morgan Stanley had come out with two lists before the General Elections – one was supposed to do very well if Modi got elected and the other if he didn’t. Ironically, ‘Morgan Stanley Fragmented Election 2013-12’ out-performed ‘Morgan Stanley Strong Election 2013-12’ but both under-performed the Midcap Index.

Espirito Santos Silver bullets turned out to be blanks.

Kotak should do a better job with their Diwali picks.

What next?

We hope that these guys continue to put out lists so that we can track them. We admit that 47 is too small a sample to draw any conclusions. If you come across any such lists that are ‘subscription only’, i.e., not available on the ET or MC websites, please send them to info@stockviz.biz. We would love to track them all.

Definition: Drawdown

Drawdown, of an investment, is the peak-to-trough decline during a specific period.

It is not uncommon for stock indices to drawdown 30% in a year. Here’s how we see it.

Nifty 50 Drawdowns

drawdowns.nifty50

Nifty Midcap 100 Drawdowns

drawdowns.midcap100

Explainer

Drawdowns take their time to form and can be identified into three distinct points:

  1. The day from which the investment started going down. ‘From’ in the above images.
  2. The day on which the investment stopped going down. ‘Trough’ in the above images.
  3. The day on which the investment recouped all its losses from (1). ‘To’ in the above images.

The number of days the whole processes took is the ‘Length’ of the drawdown. ‘Recovery’ shows the number of days it took to get back to it initial value.

Path dependency

The yearly breakup shown above doesn’t give the real picture of how the investment actually performed during the entire stretch of time. For example, here’s NIFTY 50 vs. MIDCAP 100:

Between 2004-01-01 and 2016-01-20, NIFTY 50 has returned a cumulative 282.24% with an IRR of 11.76% vs. NIFTY MIDCAP 100's cumulative return of 394.05% and an IRR of 14.16%.

Depending on where your starting point is, you end up with different drawdown and return profiles. You can fool around with that here: svz.bz

Take-away

Returns go hand-in-hand with drawdowns. Seasoned investors wait for it (in bond funds) to enter, most long-term investors learn to ignore them and continue their dollar cost averaging (aka SIP.)

Relative Returns of Midcap Funds

midcap mutual fund relative returns

Relative Returns

We wanted to see how different mutual funds compared to the CNX MIDCAP index. We took the annual returns of a dozen funds and subtracted the annual returns of the CNX MIDCAP index. This gives us an idea of how well the fund was managed.

The above result is a bit surprising. Other than the ICICI Prudential Value Discovery Fund, no other fund consistently beat the CNX MIDCAP index. Of course, returns are only half the story, these numbers don’t tell us the risks that were taken to achieve them.

Besides, none of the top funds in a year hold that position over the next (see this.)

Related: Mutual Fund Performance in Bear Markets

Leaders and Laggards

Lagged correlations

Excess winter snow-fall in the Himalayas lead to floods in Bangladesh during spring. If we know that that there was excess snow-fall in the Himalayas this season, we can be better prepared to handle the floods four-months from now. This is the idea behind studying lagged correlations.

If we took a pair of sector indices and lagged their returns, can we find an index that “leads” an other and profit from it?

CNX BANK.CNX CONSUMPTION.monthly.lag

The chart above is called the cross-correlation plot. It shows that there are two lags, 5 and 9, where CNX BANK lags CONSUMPTION. A scatter plot shows how monthly-returns are correlated to each other across different lags and confirms the relationship:

CNX BANK.CNX CONSUMPTION.monthly.scatter

Finding

We found a number of index pairs that lead/follow one another. In addition to the CNX BANK and CNX CONSUMPTION indices above, CNX INFRA and CNX CONSUMPTION, CNX IT and CNX FINANCE, CNX CONSUMPTION and AUTO display this dynamic.

CNX INFRA.CNX CONSUMPTION.monthly.lag

CNX IT.CNX FINANCE.monthly.lag

CNX CONSUMPTION.AUTO.monthly.lag

Data mining warning

We cannot draw any conclusion from this “finding.” We mined 20 indices over 5 years to dig these nuggets out. The result is spurious. From a statistical point of view, there is no index that consistently leads or lags another.

Related: Should you care about monthly returns of the Nifty?