Dan Taylor

@ProfAnalytics

Professor @Wharton; Forensic Analytics; expertise in financial data analysis, SEC filings, accounting fraud, and insider trading.

ai-analytics.wharton.upenn.edu/wharton-forens…

Joined January 2020

Replies Reposts Media

Pinned
Dan Taylor
@ProfAnalytics
Mar 23, 2022
This is why I study insider trading.
Dr Sarah Sammons
@drsarahsam
Mar 23, 2022
“I’m guided by what I’m really outraged about and what I think I can actually try to influence. It may be that I can only influence things one case at a time, but ultimately, the plan is always to try and improve the system.” May we all pick outrageous causes for change..
8
Dan Taylor
@ProfAnalytics
Aug 29
Great coverage of the hearing in the Spagnuolo insider trading case. Defense citing (1) US v. Chastain for idea that the MNPI must have commercial value, and (2) the new 9th Circuit ruling that sports contracts on Kalshi are not swaps, not subj to CFTC. They seem prepped to argue
Matthew Russell Lee
@MatthewLeeICP
Aug 29
Kalshi Case Fall-Out: Google Engineer Charged with Insider Trading on Polymarket Files Kalshi 9th Cir Decision that Contracts Are Probably Not Swaps - Inner City Press story: innercitypress.com/sdny124dtorres… Filing on Patreon here: patreon.com/MatthewRussell…
Dan Taylor
@ProfAnalytics
Aug 25
@Polymarket pushing the envelope again. @ChairmanSelig @MichaelSelig says no sports injury contracts [for obv reasons]. PolyUS self-certifies an injury contract. Makes a mockery of the self-certification regime, which is absolutely a gift to industry. If you abuse it, you may
Dan Bernstein
@dan_bernstein_
Aug 25
Polymarket U.S. self-certified—and the CFTC has not opposed—NFL injury return date bets, per a filing today. This appears to run directly against the CFTC's own proposed rules for prediction markets (below)
Dan Taylor
@ProfAnalytics
Aug 20
The invisible hand of markets…
Salman
@salmanso_
Aug 20
It’s kind of beautiful that if you give thousands of people a way to disagree with each other, their collective disagreement collapses into a single number that can see the future more clearly than almost any one of them can alone
Dan Taylor
@ProfAnalytics
Aug 20
This is an impressive piece of research. You need to read the whole thread.
Tarek Mansour
@mansourtarek_
Aug 20
We ran a study on over 2 million markets to evaluate their calibration. To our knowledge, this is the largest replicable study on this topic. Here are the results: 🧵
1