Pricing and Analysis of Financial Derivative by Credit Suisse using Monte Carlo, Geometric Brownian Motion, Heston Model, CIR model, estimating greeks such as delta, gamma etc, Local volatility model incorporated with variance reduction.(For MH4518 Project)
☆31Aug 12, 2024Updated 2 years ago
Alternatives and similar repositories for Financial-Derivative-Analysis-and-Simulation
Users that are interested in Financial-Derivative-Analysis-and-Simulation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'☆12Oct 28, 2022Updated 3 years ago
- We propose using Probabilistic Graphical Models such as Bayesian Networks and Hidden Markov Models to construct a global-macro trading st…☆14Apr 28, 2018Updated 8 years ago
- Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possibl…☆20Sep 15, 2022Updated 3 years ago
- Datasets for my research publications☆14Feb 9, 2026Updated 6 months ago
- Code repository for demos of the article 'Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders'.☆39Apr 24, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆18Apr 24, 2021Updated 5 years ago
- This project presents the application of a MS-QRNN model designed to estimate Value at Risk accurately by integrating both numerical fin…☆12May 15, 2024Updated 2 years ago
- Script to fit the Heston-Nandi GARCH(1,1) model. Includes MLE of parameters, future path simulation, Monte Carlo simulation for option pr…☆17Jul 3, 2021Updated 5 years ago
- Statistical tests for Value at Risk (VaR) Models.☆16Mar 21, 2026Updated 5 months ago
- Quantitative Risk Management Concepts☆12Sep 27, 2016Updated 9 years ago
- Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models☆15Aug 25, 2026Updated last week
- Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method☆45Mar 4, 2021Updated 5 years ago
- Repository for the "Risk Analysis in Earth Sciences" lab manual☆12Sep 1, 2019Updated 7 years ago
- Creating, training and backtesting of VaR and ES models based on Importance Sampling☆11Apr 14, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Vollab (Volatility Laboratory) is a python package for testing out different approaches to volatility modelling within the field of mathe…☆21Apr 30, 2021Updated 5 years ago
- ☆22Jan 5, 2018Updated 8 years ago
- Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Market…☆23Jul 23, 2026Updated last month
- Repository attached to the paper with the same name.☆21Jun 15, 2021Updated 5 years ago
- Deep Learning methods to solve path-dependent PDEs / to price path-dependent derivatives like exotic options☆35Feb 15, 2022Updated 4 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Apr 8, 2020Updated 6 years ago
- replication of micro-price on crytocurrency data☆10Feb 27, 2022Updated 4 years ago
- Time Series Forecasting with Dynamic Graph Modeling☆16Aug 31, 2025Updated last year
- Order Book Imbalance trading strategy☆11Nov 21, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Calculating carbon emissions in R☆20Aug 27, 2025Updated last year
- Bayer, Friz, Gulisashvili, Horvath, Stemper (2017). Short-time near-the-money skew in rough fractional volatility models.☆13Mar 23, 2017Updated 9 years ago
- A modular grammar-of-graphics toolkit for Stata data visualizations.☆13Mar 9, 2026Updated 5 months ago
- An undergraduate course in environmental economics☆22Apr 29, 2024Updated 2 years ago
- Scrape Data from Twitter, Facebook, Yahoo, and other websites☆12Aug 30, 2022Updated 4 years ago
- Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performa…☆18Sep 11, 2020Updated 5 years ago
- Different quantitative trading models research☆54Dec 17, 2024Updated last year
- REndo - A R package to control for endogeneity by using internal instrumental variable models☆21Jul 23, 2026Updated last month
- Options are an integral part of hedging strategies, portfolio management and many other facets of the finance industry. And Greeks of an …☆11Jul 10, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Computational Data Analytics for Economists☆15Jan 9, 2022Updated 4 years ago
- 证券高频量化交易系统,提供抢板、半路板服务。☆12Feb 29, 2024Updated 2 years ago
- A look-alike model to identify potential clients based on certain characteristics from the existing customer base.☆13Dec 8, 2022Updated 3 years ago
- Large t-Vector AutoRegressive models with volatility spillovers and networks. Code of the paper Barbaglia, Croux, Wilms (2020) "Volatilit…☆19Feb 18, 2021Updated 5 years ago
- ☆16Apr 27, 2021Updated 5 years ago
- robotRay is a python robo trader bot for several strategies including: 1) naked puts based on a simple vega crush algo, 2) golden cross. …☆14Aug 27, 2021Updated 5 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 years ago