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The 94-year-old CEO (and the 31 year old)


rkbabang

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  The age distribution of the CEO's prompts a question, the answer to which

  may be helpful in predicting the returns of individual stocks: have returns

  been better in the decile of companies with the oldest CEO's compared to

  the decile with the youngest CEO's and the average return for the group?

 

  Can anyone provide more info about who did the graph and if the data

  can be obtained to perform the analysis ?  Or is this info readily available?

 

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There are many reasons why the answer to my question may be helpful

in predicting future returns e.g. : CEO's past normal

retirement age may have good track records, control

their companies, run companies that have long term

competitive advantages not be fly by night firms etc.

Some of these qualities may be impossible to measure in

other ways.  Alternatively, younger CEO's may be dynamic,

more apt to run growth cos. Etc.  Of course, there may be

survivor bias in such an analysis but this could be addressed

in a prospective analysis.

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There are many reasons why the answer to my question may be helpful

in predicting future returns e.g. : CEO's past normal

retirement age may have good track records, control

their companies, run companies that have long term

competitive advantages not be fly by night firms etc.

Some of these qualities may be impossible to measure in

other ways.  Alternatively, younger CEO's may be dynamic,

more apt to run growth cos. Etc.  Of course, there may be

survivor bias in such an analysis but this could be addressed

in a prospective analysis.

 

You always have to remember because something is correlated does not mean it is a causal relationship.

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Yes, correlation doesn' mean causalty, but it can be a good hint for looking

deeper, especially if the correlation and the confidence

level is high.  Then a multivariate analysis might provide more info

about whether or not the correlation was spurious.

 

Theory and history would suggest that a long track record

of doing something successfully is a powerful predictor of

future success.  But how long is too long?

 

If CEO's play a role in the success in their cos, age may be a

useful proxy for experience, a potentially powerful predictor.

Or, extreme age may be a negative predictor of success

related to failing capacity, surely an important question

for members of this board.

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If CEO's play a role in the success in their cos, age may be a

useful proxy for experience, a potentially powerful predictor.

Or, extreme age may be a negative predictor of success

related to failing capacity, surely an important question

for members of this board.

 

It may be the case.  Though if indeed that is the case, it will be a generalization that only applies to large baskets of companies and ceo's.  Unless you plan to build an index fund of stocks with CEOs of a certain age then I don't think you will see any benefit. And that's not how we invest ... we invest in individual companies not baskets of thousands (unless you are an index investor).  Each company you invest in for the next 20 years could be an exception to the general rule that you establish with these statistics. You have to analyze each situation on its merits.  Some 30 year old CEOs will have more patience, wisdom and hard-earned experience than some 50 year old CEOs that have coasted through life in easy positions. 

 

I don't think any of that information will let you draw any useful conclusions about single individual companies.

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