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How Hedge Funds Discover the Next Superstar Trader

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Contenu fourni par Bloomberg. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Bloomberg ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

One of the problems in investing or trading is that — to use a common disclaimer — past results are no guarantee of future success. Someone can have a great track record in their stock picks, but maybe they just got lucky. Or maybe they were particularly well-dialed into one market regime that inevitably shifts. Or maybe they're actually just better than other traders. For multi-strategy hedge funds or "pod shops," there's an ongoing battle to hire or train the next great portfolio manager. But how can managers tell who is actually good and who isn't? On this episode of the podcast, we speak with Joe Peta, who was previously the head of performance analytics at Point72 Asset Management and has had a long career in the trading world. He's also an avid fan of sports gambling, and the author of the recent book, Moneyball for the Money Set, which attempts to take some of the talent analytical principles that originated in Major League Baseball and apply them to evaluating portfolio managers. He talks us through the traditional approach funds use to find or create superstars, and how these approaches can be improved upon using more rigorous, quantitative methods.
Mentioned in this episode:
Hedge Fund Talent Schools Are Looking for the Perfect Trader
How to Succeed at Multi-Strategy Hedge Funds

Only Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at bloomberg.com/subscriptions/oddlots

See omnystudio.com/listener for privacy information.

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845 episodes

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How Hedge Funds Discover the Next Superstar Trader

Odd Lots

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Manage episode 438267916 series 1504378
Contenu fourni par Bloomberg. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Bloomberg ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

One of the problems in investing or trading is that — to use a common disclaimer — past results are no guarantee of future success. Someone can have a great track record in their stock picks, but maybe they just got lucky. Or maybe they were particularly well-dialed into one market regime that inevitably shifts. Or maybe they're actually just better than other traders. For multi-strategy hedge funds or "pod shops," there's an ongoing battle to hire or train the next great portfolio manager. But how can managers tell who is actually good and who isn't? On this episode of the podcast, we speak with Joe Peta, who was previously the head of performance analytics at Point72 Asset Management and has had a long career in the trading world. He's also an avid fan of sports gambling, and the author of the recent book, Moneyball for the Money Set, which attempts to take some of the talent analytical principles that originated in Major League Baseball and apply them to evaluating portfolio managers. He talks us through the traditional approach funds use to find or create superstars, and how these approaches can be improved upon using more rigorous, quantitative methods.
Mentioned in this episode:
Hedge Fund Talent Schools Are Looking for the Perfect Trader
How to Succeed at Multi-Strategy Hedge Funds

Only Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at bloomberg.com/subscriptions/oddlots

See omnystudio.com/listener for privacy information.

  continue reading

845 episodes

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