There are endless academic studies demonstrating this.
It helps to explain the alpha that comes from Fama-French factor models or various forms of screening -- they remove the emotional selling decision from the fund manager
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Shafiroff refined various phone-selling techniques (straight line, the first trade, the trust close). These were published for the 1st time in “Successful Telephone Selling in the ’80s” and subsequent editions (’90s, etc.)
Bull markets don't die of old age; they are murdered by errors. What kills them are the policy mistakes made by Central Bankers, elected officials + Politicians of all kinds.
One person's "taking away the punchbowl" is another person's murder weapon...
And a 30% pullback in individual names after a 50-100% run up feels like normal volatility to me...
"Second-level thinking is back. With the benefit of hindsight, investors should have been paying attention to the expectations that were baked into some of these stocks."
-Strengthens Biden stimulus proposals
-Embarrasses those yelling about inflation
-Big increase in wages = more hiring
-"All models are wrong, but some are useful"
-BLS models are especially noisy
-NFP = overrated economic indicator
-"Nobody know anything"
I would add that assembling this data during lockdown/pandemic is exceedingly difficult. Lots of variables errors introduced into April.
May/June/July reports now hold potential for huge upside surprise
The key point here: There are always examples of silly valuations, especially among penny stocks, a hotbed of fraud, self-dealing, manipulation and nonsense.
My 2015 grilled cheese truck lesson? Be wary of drawing broad market conclusions from illiquid microcap scamcos