differential-machine-learning / appendices
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production
☆27Updated 2 years ago
Alternatives and similar repositories for appendices:
Users that are interested in appendices are comparing it to the libraries listed below
- Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London☆62Updated 5 years ago
- A Python Package for Portfolio Optimization using the Critical Line Algorithm☆26Updated last year
- Large Deviations for volatility options☆13Updated 6 years ago
- Replication codes for Deep Learning Credit Risk Modeling by Manzo, Qiao☆21Updated 2 years ago
- Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)☆48Updated 3 months ago
- Code and examples for the project on risk-constrained Kelly gambling☆26Updated 4 years ago
- C Bayer, B Stemper (2018). Deep calibration of rough stochastic volatility models.☆36Updated 6 years ago
- ☆63Updated 2 months ago
- Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Diff…☆141Updated 2 years ago
- SdePy: Numerical Integration of Ito Stochastic Differential Equations☆43Updated 3 years ago
- Monte Carlo Submission Examples☆16Updated 6 months ago
- Implementation of the Deep xVA Solver of Gnoatto, Picarelli and Reisinger (2020) https://arxiv.org/abs/2005.02633☆16Updated 4 years ago
- ☆19Updated 6 years ago
- Tutorials about Machine Learning and Deep Learning☆30Updated 6 years ago
- JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python☆44Updated 2 years ago
- A python implementation of the fast-reversion Heston model of Mechkov [2015, https://goo.gl/2awbrV], for FX purposes.☆11Updated 6 years ago
- ☆10Updated 7 years ago
- Repository attached to the paper with the same name.☆21Updated 3 years ago
- Bayer, Friz, Gassiat, Martin, Stemper (2017). A regularity structure for finance.☆10Updated 7 years ago
- A numerical library for High-Dimensional option Pricing problems, including Fourier transform methods, Monte Carlo methods and the Deep G…☆28Updated 4 years ago
- Python library for Random Matrix Theory, cleaning schemes for correlation matrices, and portfolio optimization☆54Updated 2 years ago
- Compile risk with cvxpy☆13Updated last week
- Neural network local volatility with dupire formula☆76Updated 3 years ago
- ☆13Updated 5 years ago
- Companion code for "Modern Computational Finance, volume 2: Scripting for Derivatives and XVA" (Antoine Savine & Jesper Andreasen, Wiley,…☆21Updated 4 years ago
- Tutorial for the book "Algorithmic Differentiation in Finance"☆16Updated 7 years ago
- Estimation of the Covariance Matrix - linear and nonlinear shrinkage☆22Updated 2 years ago
- Financial Portfolio Optimization Algorithms☆54Updated 9 months ago
- ☆16Updated 4 years ago
- This is a companion repository for lectures in ‘Finite Difference Methods for Financial Partial Differential Equations’ aka the ‘Saxo PUK…☆38Updated 11 months ago