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Greeks via Automatic Differentiation/Evidence
Method evidence record

Greeks via Automatic Differentiation

Automatic differentiation (AD) is a computational technique for computing derivatives (Greeks) by differentiating the computer code that computes the option price. AD avoids manual derivation of formulas and finite-difference approximations, yielding exact sensitivities with machine precision. It has become essential for real-time risk management in modern trading systems.

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Automatic Differentiation for Greeks Computation
Taxonomic method record · ml-model / quantitative-finance
  • Giles, M. B. (2008). Adjoint code by automatic differentiation. Journal of Computational Finance, 12(1), 1-18. · URL
  • Homescu, C. (2011). Adjoints and automatic differentiation in computational finance. arXiv:1107.1188. · URL
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Related methods

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Used in the same domainBates Modelmachine-suggested · Relational suggestion, not evidence.Used in the same domainLocal Volatility (Dupire)machine-suggested · Relational suggestion, not evidence.Used in the same domainRisk-Neutral Valuationmachine-suggested · Relational suggestion, not evidence.

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Sources

2 recorded citations, copied from the method source record.

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