Neural network empowered liquidity pricing in a two-price economy under conic finance settings
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Publication:6657689
DOI10.1080/14697688.2024.2390947MaRDI QIDQ6657689
Asma Khedher, Matteo Michielon, [[Person:6657688|Author name not available (Why is that?)]], Alessandro Gentile, Peter Spreij
Publication date: 6 January 2025
Published in: Quantitative Finance (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Non-additive measure and integral
- Deep neural networks, gradient-boosted trees, random forests: statistical arbitrage on the S\&P 500
- GPU implementation of neural networks
- A neural network-based framework for financial model calibration
- Local volatility dynamic models
- Integrated crossover rules in real coded genetic algorithms
- MARKETS AS A COUNTERPARTY: AN INTRODUCTION TO CONIC FINANCE
- Applied Conic Finance
- Generalized Measure Theory
- Monotone Piecewise Cubic Interpolation
- Algorithmic Differentiation in Finance Explained
- Machine learning for quantitative finance: fast derivative pricing, hedging and fitting
- Turbocharging Monte Carlo pricing for the rough Bergomi model
- Pricing under rough volatility
- Deep hedging
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Fractional Brownian Motions, Fractional Noises and Applications
- Hybrid scheme for Brownian semistationary processes
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