Tag: returns

Are stocks an inflation hedge?

Is there a relationship between inflation and stock returns in India? A recent study that looked at monthly data between 1994 and 2014 shows that there is no significant pro-cyclical inter-dependency between inflation and stock returns.

However, the paper does not present the results of any statistical significance tests. This leaves the reader at the mercy of trying to interpret pretty pictures of wavelet transforms.

On the Dynamics of Inflation-Stock Returns in India

Total Returns

Price vs. Total Return indices

Investors often use the NIFTY 50 index as a benchmark while comparing investments. It is probably fair if you are making price comparisons. However, investment vehicles like mutual funds reinvest the dividends that they get on their holdings. So a more appropriate benchmark there is the NIFTY Total Return (NIFTY 50 TR) index.

The NIFTY 50 TR index is an index with the same constituents as the NIFTY 50 but with dividends reinvested back into the index.

total returns index equation

The Dividend Impact on Returns

To give you an idea of how dividends impact long-term returns, here’s a cumulative wealth chart of the NIFTY 50 TR Index vs. the Nifty 50 (Price) Index:

nifty-tr-returns

From the beginning of the year 2000 through to the end of August-2016, the Total Return was roughly 6x while the Price return was 4.5x. Here is how dividend reinvestment has boosted returns through the years:

nifty-dividend-returns

A 1.6% dividend boost sounds trivial until you look at the cumulative effect of it over the years.

Should benchmarks be handicapped?

When you see mutual fund returns compared with “price” indices (all NIFTY indices are price indices unless they are explicitly mentioned to be total return,) you should handicap those returns by ~1.5-2% every year to get an idea of whether the fund actually outperformed the index.

It is tragic that the NSE has maintained a total return index only for the NIFTY 50. With the rising popularity of other asset classes and strategies, it makes sense to provide a Total Return index for every Price index that they publish. We briefly touched upon this while we looked at the MNC asset class. The NIFTY MNC Index, being a price index, missed a lot of performance information. We had to compare an MNC Fund to another Midcap Fund to get a better idea of relative performance. (Read the whole thing here: The MNC Fund Gravy Train, Part II)

Code for the above charts are on Github

The MNC Fund Gravy Train, Part II

We had discussed how MNCs listed in India have outperformed pretty much every benchmark (here, here.) However, there are are a few dark-spots in an otherwise solid long-term investment thesis that are worth discussing.

The benchmark

The NIFTY MNC benchmark index had two drawbacks:

  1. It is based on free-float market cap and the float keeps shrinking because of buy-backs.
  2. It does not include dividends which are a huge component of returns in this asset class.

For example, Unilever bought back more than $5 billion of HUL’s float [stockquote]HINDUNILVR[/stockquote] in 2013; OFSS [stockquote]OFSS[/stockquote] payed out Rs. 485 per share as dividend on September 2014. The stock was trading around Rs. 3960 at that time – a yield of ~12.25% that is not captured by the index.

If you compare just the NIFTY MNC index to other NIFTY indices, it doesn’t look so good:

MNC.returns

Annual returns:
mnc returns

As you can see, all though the MIDCAP index is volatile, it offers returns an order of magnitude greater than the MNC index.

However, this is the index that we are talking about.

MNC Funds vs. Midcap Funds

For a true apples-to-apples comparison between MNCs and Midcaps, we should look at the funds that reference them. This takes care of the dividend reinvestment and vanishing float problems of MNCs. But creates another problem of having to adjust for alpha, but we will ignore that for now.

Let’s compare the BSL MNC fund vs. BSL Midcap Fund:

MNC.vs.MIDCAP.fund.returns

On a cumulative basis, the MNC fund as beaten their Midcap fund… with shallower drawdowns to boot:

MNC.vs.MIDCAP.fund.drawdown.p2p

Given the past performance of the MNC asset class, we had recommended BSL’s and UTI’s MNC funds to investors. However, we had not considered a googly being bowled by the parent companies.

Key Risk

The biggest risk with MNCs is not quantitative but qualitative. Their parent companies do not want the hassle of going through listed India subsidiaries. It is easier to invest in new projects and expatriate profits if they did so through a wholly owned subsidiary rather than a listed one. Key examples:

  1. Suzuki directly set up a factory in Gujarat and Maruti will “buy” cars from the new plant (IiAS.) [stockquote]MARUTI[/stockquote]
  2. Cummins “rationalized” their manufacturing facilities (IiAS.) [stockquote]CUMMINSIND[/stockquote]
  3. In FY15, 32 MNCs paid out an aggregate Rs. 63 bn, which was almost 21% of their pre-royalty pre-tax profits (IiAS.)

It looks like minority shareholders are getting shafted by the parent. The listed companies are being ‘hollowed out’ and turned into mere marketing outfits that command a significantly lower valuation in the markets.

If you are an investor in MNCs as a distinct asset class, it is time to work these risks into your future return expectations.

The R source code for this analysis and charts can be found on GitHub.

Pain is proportional to Frequency of Observations

Midcaps, proxied by the NIFTY MID100 FREE index, have given an annualized return of over 18% from 2001 through August-2016. That is a 12x return over 15 years. Sounds good when you say it that way, doesn’t it? Take a look at how Rs. 1 has grown over the years:

cumulative.returns.NIFTY MID100 FREE

Now, zoom into the bottom-most chart – the drawdown chart:

drawdown.p2p.NIFTY MID100 FREE

The point-to-point drawdown chart is horrific enough. Investors saw a 70% loss during the Global Financial Crisis (GFC) in 2008/09. 30% drawdowns occur with regular frequency. Investors make it worse by looking at their investments too often.

For example, if an investor saw the returns of his portfolio once every 1000 days (4-5 years,) he would not have seen more than 35 drawdowns during the period. Move the observation to every 200 days (about a year,) and the number ticks up to 138. The more you check your portfolio, more the number of losses that you see:

drawdowns.NIFTY MID100 FREE

New investors have rightfully taken the SIP route to saving in equities. However, they would be doing themselves a disservice if they expect a fixed-deposit like consistency in equity returns.

For the quant inclined, code for this analysis can be found on Github.

Related: Definition: Drawdown

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.