Donald , very good compilation as always. And sorry for not being able to contribute so far. Have been really really busy
Back to success patterns. Can we think of pivoting this table and adding a pinch of Munger’s inversion theory here? What I mean is as follows:-
)- Now you have a list of success patterns that has been derived from looking at individual stocks (over a very short timeframe though, so cannot be sure they are successful!!!)
)- To prove causality, list the patterns on the 1st column and see how many of the stocks are falling in each category.
)- Then consciously think that of other companies (and stocks) which have done well without fulfilling that category. If you can’t find any such stocks/businesses, then you have a robust success pattern. Else, it is more a good-to-have.
Example to explain what I am driving at:
2nd/3rd largest player : Cera, Amara Raja, OCCL, Atul Auto
**Invert (companies which are num 2/3 in their category but have NOT done well) **)- Hindustan Motors (back in the days when Maruti, HM and Premier where the only players), Kingfisher Airlines - just trying to be provocative here , Firstsource (at one time the 2nd largest BPO in India) … I can think of some more if I really put my mind to it and spend some time.
Then the next question is, are these success patterns really worth anything? Let’s look at the Lollapalooza effect of combining more than one factor. Can I think up of a company which has NOT done well when it has been the **2nd/3rd largest player AND **
**Consistently increasing Marketshare? **The answer is I really can’t find any very quickly.
So, then what we need to think about is how we combine these factors and not look at them in isolation. And which ones actually combine to make a killer combo?**
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