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Mihail Velikov

@mvelikov.bsky.social
227 followers 658 following 10 posts

Be curious, not judgmental. - Ted Lasso Website: sites.google.com/site/velikovmihail

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Reposted by Mihail Velikov
NBER @nber.org · 22/01/2025
Leveraging 30,000 stock predictors and AI to generate 288 finance papers with custom hypotheses, highlighting risks of automated research and HARKing (Hypothesizing After Results are Known) in academia, from Robert Novy-Marx and @VelikovMihail www.nber.org/papers/w33363
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Reposted by Mihail Velikov
Ran Shorrer @ranshorrer.bsky.social · 28/11/2024
Very excited to release a major revision to our paper on algorithmic collusion by large language models. #EconSky
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Reposted by Mihail Velikov
Ethan Mollick @emollick.bsky.social · 18/12/2024
Researchers used AI to generate 288 complete academic finance papers predicting stock returns, complete with plausible theoretical frameworks & citations. Each paper looks and reads as legit. They did this to show how easy it now is to mass produce "credible" research. Academia isn't ready.
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Reposted by Mihail Velikov
Donald Bowen @bowen.finance · 17/12/2024
Really cool work that raises questions about how we think about science and progress. The push towards pre registration has benefits but foregoing HARKing has many costs too. The optimal balance is not obvious!
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Reposted by Mihail Velikov
Robert Parham @kn.owled.ge · 17/12/2024
Cool results that raise interesting questions about a swath of asset pricing papers. Also really like the assaying framework they use.
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Mihail Velikov @mvelikov.bsky.social · 17/12/2024
An academic paper has excellent empirical evidence & hypotheses that perfectly match the patterns in the data. One catch: AI wrote the hypotheses after seeing the results. Should this matter? New paper w/ Robert Novy-Marx on AI-Powered (Finance) Scholarship🧵 papers.ssrn.com/sol3/papers....
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