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Hybrid method based on neural networks and Monte Carlo simulation in view of a tradeoff between accuracy and computational time

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Publication:5079831
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DOI10.1080/03610926.2020.1818782OpenAlexW3086349222MaRDI QIDQ5079831

Samira Chaabene, Yacin Jerbi

Publication date: 30 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1818782


zbMATH Keywords

neural networksoption pricingaccuracyMonte Carlo simulationhybrid methodcomputational time


Mathematics Subject Classification ID

Statistics (62-XX)





Cites Work

  • The Pricing of Options and Corporate Liabilities
  • Econometric methods for derivative securities and risk management
  • European call price modelling using neural networks in considering volatility as stochastic with comparison to the Heston model
  • A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options




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