The good news is that in a few more years it will start coming out in the morning again. The bad news is that we'll be getting it at midnight before that happens.
Matt Levine is "known for his incisive and humorous commentary on Wall Street, which makes complex concepts accessible to non-experts while remaining relevant to a large audience of industry insiders."
True. He's otherworldly great at this! Like you and so many others, Dan, I avidly read Matt's pieces each day they come out. (And related: props for your data science-ish observations here, on the publication days and times of his columns.)
Also, some perspective from an oldster. The last person I remember writing similarly cogent, funny stuff that made the financial world's complexity simple to understand, even for those of us who've never worked in that world, was George J.W. Goodman. Under the audacious pseudonym "Adam Smith," he wrote a set of highly-recommended books including "The Money Game" (1968) and "Supermoney" (1972). Starting in the mid-1980s, Goodman also hosted a popular financial show on PBS, "Adam Smith's Money World."
His books are still a fun read today, even if the incidents he describes are dated. One can readily recognize how little ultimately changes in finance, much less in fundamental human behavior, over decades – or perhaps even centuries or longer!
Hi... nice column... do you know what the rate card is for advertising in his column? It would be interesting to compare his/Bloomberg's embedded ad model with Substack's paid subscription model... My uninformed guess is that the embedded ad model dominates in terms of economic return (and certainly for reach)
> Using OLS, I estimate a rate of 2.1674*10⁻³ hours/calendar day, which works out to 3.95 minutes a month or 11.87 seconds per business day. R²=0.93, 95% confidence interval: [11.7 seconds per business day, 12.0 seconds per business day], p=2.22*10⁻¹⁶
Very late to this, but I should point out that this corresponds very closely to a 1 degree longitudinal shift per month. Is Matt Levine beaming his articles from orbit? Who's to say..
I'd love to see a daily analysis of Money Stuff here, and then we could analyze the daily analysis of Money stuff in a few years. That would be deliciously meta!
The good news is that in a few more years it will start coming out in the morning again. The bad news is that we'll be getting it at midnight before that happens.
Matt Levine is "known for his incisive and humorous commentary on Wall Street, which makes complex concepts accessible to non-experts while remaining relevant to a large audience of industry insiders."
True. He's otherworldly great at this! Like you and so many others, Dan, I avidly read Matt's pieces each day they come out. (And related: props for your data science-ish observations here, on the publication days and times of his columns.)
Also, some perspective from an oldster. The last person I remember writing similarly cogent, funny stuff that made the financial world's complexity simple to understand, even for those of us who've never worked in that world, was George J.W. Goodman. Under the audacious pseudonym "Adam Smith," he wrote a set of highly-recommended books including "The Money Game" (1968) and "Supermoney" (1972). Starting in the mid-1980s, Goodman also hosted a popular financial show on PBS, "Adam Smith's Money World."
His books are still a fun read today, even if the incidents he describes are dated. One can readily recognize how little ultimately changes in finance, much less in fundamental human behavior, over decades – or perhaps even centuries or longer!
This is kinda crazy mad but intriguing interesting. Points to you for compiling!
I've never understood how he could research and then write and publish the column before noon.
Hi... nice column... do you know what the rate card is for advertising in his column? It would be interesting to compare his/Bloomberg's embedded ad model with Substack's paid subscription model... My uninformed guess is that the embedded ad model dominates in terms of economic return (and certainly for reach)
> Using OLS, I estimate a rate of 2.1674*10⁻³ hours/calendar day, which works out to 3.95 minutes a month or 11.87 seconds per business day. R²=0.93, 95% confidence interval: [11.7 seconds per business day, 12.0 seconds per business day], p=2.22*10⁻¹⁶
Very late to this, but I should point out that this corresponds very closely to a 1 degree longitudinal shift per month. Is Matt Levine beaming his articles from orbit? Who's to say..
I quite enjoyed this analysis. Thanks for sharing it!
Well, I really did not expect I will ever read something like that! Thanks!
I'd love to see a daily analysis of Money Stuff here, and then we could analyze the daily analysis of Money stuff in a few years. That would be deliciously meta!