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Quant-Papers

A curated list of must-read Quant papers

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Foundational and Asset Pricing

Interest Rates

Machine Learning in Finance

  • Buehler, Hans and Gonon, Lukas and Teichmann, Josef and Wood, Ben, Deep Hedging (February 8, 2018).

  • Horvath, B., Muguruza, A., & Tomas, M. (2019). Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models. Quantitative Finance, 21, 11 - 27.

  • Available at SSRN or http://dx.doi.org/10.2139/ssrn.3322085-

Option Pricing and Derivatives

Volatility

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A curated list of must-read Quant papers

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