methodology

in everything that is somehow connected with economic science, a clear understanding of the background and the consequent limitations of conclusions – it is one of the most basic foundations of survival.

based on Goldman's graph (here), you might get the impression, that the Russian market has a crazy upside, and japanese – the same downside. actually, we need to weigh our P / E into sectors, for example. because, that different markets have different sectoral structure, and cover different parts of the economy.

it's one thing when we are dominated by the consumer / mechanical engineering, another thing, when the same oil and gas.
The P / E of the two groups is completely different, whatever the prospects of the raw materials.

although in the USA the sectoral P / E is not so aggregated, to be very different, but you shouldn't lose sight of the idea.

the same goes for the idea of ​​comparing market capitalization in GDP.
for that, to talk about something, you need to first weigh on the share of public companies in total sales / profit / employment / what you want.

and there is still a question:
but how to correctly calculate the aggregated P / E?
1) (Capitalization A + Capitalization B)/(Profit A + Profit B) – ?
2) (P / E A + P / E B)/2 – ?

naturally, a question arises on paragraph `` 2)" – pier, what nonsense?
do not hurry) we look, what is P / E – market assessment of future growth rates. if we want to aggregate exactly the `` market valuation '', ie. & quot; psychological factor & quot;, then we need exactly item & quot; 2)". example, 10 companies in the sector, one belongs 90% all profits – hence, influence on P / E sectors is maximum when using item & quot; 1)". the consequences are standard: revaluation of small companies to the sector, etc..

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