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Innhold levert av Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Quantifying Self Attribution Bias with Meng Wang

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Manage episode 380940017 series 2581243
Innhold levert av Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

When fund managers outperform, they tend to attribute it to their skill. When they underperform, they tend to blame external factors. While that information has been known for some time, it wasn't something that researchers were able to quantify. But the advent of ChatGPT and large language models has changed that. In this episode, we are joined by Meng Wang, a PhD student at Georgia State University. He used this new technology to analyze and quantify self-attribution bias among fund managers and recently published a paper "Heads I Win, Tails It’s Chance: Mutual Fund Performance Self-Attribution?" where he highlighted his findings. We discuss his research process, what he learned and the most important conclusions for investors.

We hope you enjoy the discussion.

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271 episoder

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Manage episode 380940017 series 2581243
Innhold levert av Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Jack Forehand and Justin Carbonneau, Jack Forehand, and Justin Carbonneau eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

When fund managers outperform, they tend to attribute it to their skill. When they underperform, they tend to blame external factors. While that information has been known for some time, it wasn't something that researchers were able to quantify. But the advent of ChatGPT and large language models has changed that. In this episode, we are joined by Meng Wang, a PhD student at Georgia State University. He used this new technology to analyze and quantify self-attribution bias among fund managers and recently published a paper "Heads I Win, Tails It’s Chance: Mutual Fund Performance Self-Attribution?" where he highlighted his findings. We discuss his research process, what he learned and the most important conclusions for investors.

We hope you enjoy the discussion.

SEE LATEST EPISODES ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.validea.com/excess-returns-podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

FIND OUT MORE ABOUT VALIDEA ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.validea.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

FIND OUT MORE ABOUT VALIDEA CAPITAL ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.valideacapital.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

FOLLOW JACK Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/practicalquant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/jack-forehand-8015094⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

FOLLOW JUSTIN Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/jjcarbonneau⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/jcarbonneau⁠⁠⁠⁠⁠

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