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Goldman Sachs Quantitative Strategies Research Notes

Factor research★ 455 GitHub stars⏱ No commits in over six months

Collection of classic derivatives research notes

What it is

A collection of research papers from the Goldman Sachs Quantitative Strategies group published in the 1990s. Topics include derivatives pricing, volatility modelling, hedging and model risk. Quant researchers, students of derivatives pricing and practitioners interested in the origins of widely used models will find them worth reading. These are historical papers rather than code, and later research has refined many of the methods they describe.

At a glance

Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.

Best forProfessional quants
Used forStrategy research, Data analysis
MarketsUS equities, Futures
Learning curveSteep learning curve
Practical valueLow practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceNo commits in over six months

GitHub stars, last 30 days

Daily snapshots since 2026-09-28 (up to 30 days): +9 over the period, now 455. Gaps mean no snapshot was taken that day.

In the author's words

Collection of 1990s research papers on derivatives pricing, volatility modeling, hedging, and model risk.

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