Every cargo shipment entering the U.S. generates a customs manifest—product descriptions, quantities, ports, shippers, and declared values. 8,818 Ferraris were detected in U.S. customs data from 2020–2026, averaging 121 per month. Import volumes correlate with Bitcoin (+0.70), S&P 500 (+0.74), and NASDAQ (+0.68).
Interesting correlation. Can we infer from this that Ferraris are typically purchased by people whose income comes from investments rather than salaries?
I think for a new Ferrari there’s a fair chance it’s salaried individuals. There are quite a few folks who probably make enough to purchase a $400k-$800k car from their salaries. For ultra rare or special variants I think it’s unlikely as the percentage of someone’s net worth would likely be entirely consumed by the vehicle even at several million dollars a year. An example is an Enzo that sold this year for $17.6 million: https://www.thesupercarblog.com/ferrari-enzo-sells-for-a-rec...
FWIW—- that whole collection of cars, including the Enzo are 1 of 1 builds and it’s still shocking someone paid that much for a car with an absolutely heinous interior. I get it is unique, but it’s crazy someone paid that much for the privilege of owning the ugliest interior ever put in an Enzo. Reminds of the Ronald McDonald Viper from the mid 90s.
90% of such supercar customers are criminals, either drug dealers or pimps. Dealership doesn't sell to them directly but third party. You see in the import logs that all of them are third party, from some Latin American sellers, none of them from Maranello. I dont understand why any rich folk wants to buy such a high-criminality symbol.
Eg the Germans meet up at the Cannes Film Festival every year. Almost all of them Hamburg pimps. With the occasional Hamburg Marketing pimp.
I highly doubt they did this correlation properly. It looks like they just correlated two time series. Both series are correlated with time (both go up over time) and not each other. I eyeballed the series and correlated just the directions, when BTC goes up, it is 50/50 whether or not imports went up. I am pretty sure this correlation would be near 0 if you detrended the time series.
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