Quantifying Self Attribution Bias with Meng Wang

Excess Returns

Excess Returns에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Excess Returns 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2y ago 44:17

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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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