yeah, I think it's march 2000
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Replying to @Molson_Hart
I wonder if we can get this chart filtered for Big Data companies :)
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Replying to @Molson_Hart
This is for SP500 companies, or what is the cohort? It would be interesting to see industry breakdowns (tech vs finance vs retail etc)
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Replying to @gsvigruha
Yeah I think its for sP 500 or DJIA - you can learn more about it by googling "shiller PE" or "CAPE"
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Replying to @Molson_Hart @gsvigruha
I don't think you can get any meaning out of doing it for sectors... retail vs tech vs pharmaceutical had different meanings 1920 vs today
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Replying to @Molson_Hart
But some crashes are a bit sector specific no? 2000 tech, 2007/8 finance. I don't mean track only tech for 100ys but...
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Replying to @gsvigruha
look for overvaluation in sectors as opposed to the whole market (whatever those sectors mean in a given time). not sure it makes sense
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Replying to @gsvigruha
I've read that that type of thing works. There are boom and bust cycles in lots of industries. I just don't think there is good data on it
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Replying to @Molson_Hart
it's tricky, but same for all historical-quantitative disciplines. "industry" is a fuzzy category but so is country/state/black market...
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Country wide stock market not bad.
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