The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution

by Gregory Zuckerman

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Zuckerman chronicles how mathematician Jim Simons built Renaissance Technologies' Medallion fund into the most successful trading operation in history by replacing human judgement with statistical pattern recognition. Drawing on unprecedented access, he shows how a team of code-breakers and physicists turned market inefficiencies into a machine that generated 66% annual gross returns for three decades.

Published:: 2019
Pages:: 384

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In the Conversation

In this collection, The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution references 3 other books.

It draws on Fooled by Randomness, Thinking, Fast and Slow and Superforecasting.

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What This Book Draws On

The books Zuckerman references and why each one mattered to the argument.

Zuckerman contrasts Simons's empirical, data-first approach with Taleb's Fooled by Randomness critique of Wall Street - arguing Renaissance succeeded precisely by respecting randomness rather than denying it

References

Fooled by Randomness

by Nassim Nicholas Taleb

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Zuckerman repeatedly cites Kahneman's work on behavioural bias to explain the market inefficiencies Medallion exploited - human traders make the predictable errors Renaissance's models are designed to harvest

References

Thinking, Fast and Slow

by Daniel Kahneman

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Zuckerman's portrait of Renaissance's probabilistic forecasting culture aligns closely with Tetlock's Superforecasting findings on what distinguishes reliable prediction from pundit noise

References

Superforecasting

by Philip Tetlock

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What Other Authors Say About It

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Intellectual Lineage

How ideas flow through the citation network. Ancestors are books this title builds on; descendants are books that build on it.

Builds on (2 layers deep)

Directly cites

Fooled by Randomness

Thinking, Fast and Slow

Superforecasting

2 steps back

The Black Swan

Stumbling on Happiness

The Wisdom of Crowds

Sources of Power

Predictably Irrational

Nudge

Unexpected Connections

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