Dogs of the Dow; Five year Analysis

A few summers ago I read the book called “Beating the Dow” by  Michael B. O’Higgins. He claimed that a simple stock picking strategy involving the thirty Dow Jones Industrial stocks could consistently outperform the market. The “Dogs of the Dow” strategy is to find the ten highest yielding components out of the thirty stocks. With that list of ten, you then choose the five lowest priced ones. With this list of five stocks, you have to wait at least one year to see good performance. The strategy assumes that the lowest priced stocks will not remain so for very long. This is because the Dow Jones Industrial Index of thirty companies represent ‘la crème de la crème’ of the market. Although companies like Walmart and McDonald’s are not monopolies, there is still something special and irreplaceable about these iconic American brands. As a result of the tremendous success of their past, the strategy assumes that any dip these stocks take, is most likely momentary and therefore a good buying opportunity.

Unfortunately the book was a little dated. The data it used was from the 1960’s to the 90’s. I was therefore curious as to whether the strategy would still hold up in the post-Great Recession era.

Performance by Year:

2013:

On December 31, 2013, the highest yielding, lowest priced stocks were Dow DuPont, GE, Intel, Pfizer and Hewlett-Packard. I listed their closing price as of that date. In the next column is the closing price, exactly one year later. I used the sum of the closes to find the total percent change of the entire cohort. In this case, had you bought one share of each, you would’ve had a 34% gain. The bottom chart compares this 34% gain with the  percent change of the S&P 500 and the Dow Industrial Index, over the same period. In 2013, the five ‘dog’ stocks outperformed both indexes by quite a bit.

Closing Prices
Dogs Dec.31 2012. Dec.31 2013. 1 yr % chg
DD 32.33 44.4
GE 20.99 28.03
INTC 20.62 25.96
PFE 25.08 30.63
HPQ 6.47 12.71
Sum 105.49 141.73
34.3539672
Performance Comparison
Dec.31 2012. Dec.31 2013. 1 yr  % chg
S&P 500 1426.19 1848.36 29.60124528
DOW 13104.14 16576.66 26.49941164
DOGS 34.3539672

 

2014:

Closing Prices
Dogs Dec.31 2013. Dec.31 2014. 1 yr % chg
T 35.16 33.59
DD 44.4 46.07
MRK 50.05 57.64
PFE 30.63 31.38
VZ 30.63 47.33
Sum 190.87 216.01
% chg 13.1712684
Performance Comparison
Dec.31 2013. Dec.31 2014. 1 yr % chg
S&P 500 1848.36 2058.9 11.39063819
DOW 16576.66 17823.07 7.519065964
DOGS 13.1712684

 

2015:

Closing Prices
Dogs Dec.31 2014. Dec.31 2015. 1 yr % chg
T 33.59 34.41
DD 46.07 51.48
GE 25.27 31.15
PFE 31.38 32.28
VZ 47.33 46.22
Sum 183.64 195.54
% chg 6.480069702
Performance Comparison
Dec.31 2014. Dec.31 2015. 1 yr % chg
S&P 500 2058.9 2043.94 -0.726601583
DOW 17823.07 17425.03 -2.233285287
DOGS 6.480069702

 

2016:

Closing Prices
Dogs Dec.31 2015. Dec.31 2016. 1 yr  % chg
KO 42.96 41.46
DD 51.48 57.22
PFE 32.28 32.48
VZ 46.22 53.38
WMT 61.3 69.12
Sum 234.24 253.66
% chg 8.290642077
Performance Comparison
Dec.31 2015. Dec.31 2016. 1 yr % chg
S&P 500 2043.94 2238.83 9.535015705
DOW 17425.03 19762.6 13.41501277
DOGS 8.290642077

 

2017:

Closing Prices
Dogs Dec.31 2016. Dec.31 2017. 1 yr % chg
CSCO 30.22 38.3
KO 41.46 45.88
DD 57.22 71.22
PFE 32.48 36.22
VZ 53.38 52.93
Sum 214.76 244.55
% chg 13.87129819
Performance Comparison
Dec.31 2016. Dec.31 2017. 1 yr % chg
S&P 500 2238.83 2673.61 19.41996489
DOW 19762.6 24719.22 25.08080921
DOGS 13.87129819

 

Yearly Performance Chart:

bdobs

As you can see, the ‘dogs of the dow’ outperformed the S&P and Dow three out of the five years. Interestingly, the dogs of the dow were able to show positive growth in 2015 even when the S&P and Dow declined in that year. The average yearly return (in these past 5 years) for the ‘dogs of the dow” is 15.2%, which is better than the S&P 500 ‘s 13.8% or the Dow’s 14% average yearly return.

If we look at the average yearly return, it’s clear the dogs still outperform the market. What I find interesting though, is that the dogs under-performed the S&P and Dow in the past two years (2016 and 2017). My hypothesis on this is that the recent growth in the market has been mainly attributed to the tech sector. Technology stocks have done extremely well lately and perhaps less capital has been allocated to stable blue-chip dividend stocks (such as those in the dogs of the dow) in favour of more speculative technology names.

 

Here is the excel file I used to compile the data:

DOGS_DOW

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