Can Collective Intelligence Beat the Market? (with Numerai’s Richard Craib) episode artwork

EPISODE · May 25, 2022 · 42 MIN

Can Collective Intelligence Beat the Market? (with Numerai’s Richard Craib)

from Azeem Azhar's Exponential View · host EPIIPLUS 1 Ltd / Azeem Azhar

Quantitative hedge funds (or “quant funds”), which rely on the work of employed mathematicians to develop complex trading strategies, are nothing new. But what if the mathematical work is outsourced to anyone, via a contest where the best predictions are rewarded with cryptocurrency? Richard Craib, founder of Numerai, explains to Azeem Azhar why his $70 million fund uses collective intelligence to perform well, despite the turmoil in the markets. They also discuss: The history and theory of quantitative investing. When collective minds can work better than brilliant individuals. How Richard found himself accidentally explaining how “quant funds” work to Howard Morgan, the co-founder of one of the most successful “quant funds” in the world. @azeem @exponentialview @richardcraib   Further resources: Money in the Metaverse (Exponential View Podcast 2022) Superminds Bridging the Innovation Chasm (Exponential View, 2022) Alien Stock Market Intelligence (Richard Craib, 2022) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Quantitative hedge funds, which rely on the work of employed mathematicians to develop complex trading strategies, are nothing new. But what if the mathematical work is outsourced to anyone, via a contest where the best predictions are rewarded with cryptocurrency? Richard Craib, founder of Numerai, explains to Azeem Azhar how his $70 million fund uses collective intelligence to perform well, despite the turmoil in the markets.

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Can Collective Intelligence Beat the Market? (with Numerai’s Richard Craib)

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This episode was published on May 25, 2022.

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Quantitative hedge funds (or “quant funds”), which rely on the work of employed mathematicians to develop complex trading strategies, are nothing new. But what if the mathematical work is outsourced to anyone, via a contest where the best...

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