Applying Differential Machine Learning to Calibrate Heston Model
☆22Sep 24, 2023Updated 2 years ago
Alternatives and similar repositories for DML-Calibration-Heston-Model
Users that are interested in DML-Calibration-Heston-Model are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- We implement the rough Heston model☆16Jan 24, 2024Updated 2 years ago
- This repository provides a Python Notebook and resources for calibrating the parameters of the Heston model using observed Call Option pr…☆12Sep 17, 2024Updated last year
- Robust pricing and hedging via Neural SDEs☆37Aug 4, 2021Updated 4 years ago
- We implement the paper: Deep Learning Volatility☆206May 10, 2020Updated 5 years ago
- This is a course project of the course « Machine Learning for Finance » at ENSAE ParisTech.☆56Apr 15, 2019Updated 6 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for Undergraduate Dissertation; Exploration of Discrete Time Mean-Variance Hedging strategies 📈☆17Sep 25, 2021Updated 4 years ago
- Python substitute and transposition ciphers including Vigenère Cipher, Rail Fence Cipher, Caesar Cipher☆10Jul 16, 2021Updated 4 years ago
- Calibration and pricing options in Heston model☆14Dec 24, 2017Updated 8 years ago
- ☆57Oct 24, 2024Updated last year
- Codes for the concepts related to quantitative finance☆61Updated this week
- Material for the workshop Machine Learning for Option Pricing, Calibration and Hedging☆16Feb 26, 2020Updated 6 years ago
- Algo options trading using machine learning.☆15Jul 16, 2021Updated 4 years ago
- ☆14Mar 1, 2024Updated 2 years ago
- Vollab (Volatility Laboratory) is a python package for testing out different approaches to volatility modelling within the field of mathe…☆18Apr 30, 2021Updated 4 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- This repository contains different tools to simulate underlyings under SV dynamics. As well, we have implemented several tools for comput…☆130Oct 11, 2025Updated 5 months ago
- ☆33Nov 23, 2022Updated 3 years ago
- [PACIS 2024] The official repo for the paper: "Phase Space Reconstructed Neural Ordinary Differential Equations Model for Stock Price For…☆10May 21, 2025Updated 10 months ago
- Reinforcement Learning in Finance☆16Oct 8, 2020Updated 5 years ago
- Thesis support material☆11Mar 28, 2021Updated 5 years ago
- A python implementation of the fast-reversion Heston model of Mechkov [2015, https://goo.gl/2awbrV], for FX purposes.☆13May 24, 2018Updated 7 years ago
- The pricing models and neural network representations used in part one of the paper "Empirical analysis of rough and classical stochastic…☆63Feb 21, 2026Updated last month
- Topic : Option trading Strategies , B&S , Implied Volatility &Stochastic & Local Volatility , Geometric Brownian Motion.☆31Oct 23, 2023Updated 2 years ago
- Latex files containing descriptions of quantitative option pricing models to be implemented in OpenBBTerminal☆18Dec 23, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆15Jul 9, 2022Updated 3 years ago
- Survey of neural network methods for derivatives pricing and risks☆14Jul 5, 2022Updated 3 years ago
- A mirror of the Open Risk white paper collection☆10Nov 11, 2025Updated 4 months ago
- ☆16Oct 25, 2023Updated 2 years ago
- ☆16Aug 19, 2019Updated 6 years ago
- Code for the paper "Hedging with linear regressions and neural networks"☆40May 14, 2021Updated 4 years ago
- European and Forward-start option pricing and implied volatility in the Heston and rough Heston model☆23May 25, 2020Updated 5 years ago
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆21Nov 28, 2019Updated 6 years ago
- Modeling of intraday volatility and volume in financial markets☆17May 29, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆13Aug 1, 2023Updated 2 years ago
- A Jupyter Notebook that implements in Python 3 the Eigenfaces algorithm for face recognition☆15Jan 30, 2019Updated 7 years ago
- VaR (Value-at-Risk) Calculator: An elegant tool designed to compute Value-at-Risk using three robust methods - Parametric, Historical, an…☆14Mar 7, 2025Updated last year
- ☆26Mar 23, 2025Updated last year
- Repository for code, notebooks, data, etc. for the course "Python for the financial economist" at CBS☆41Mar 24, 2026Updated last week
- This course focuses on computational methods in option and interest rate, product’s pricing and model calibration. The first module will …☆11Aug 25, 2022Updated 3 years ago
- Encrypt Text messages and Images with a user input key.☆12Sep 27, 2020Updated 5 years ago