There are 24 repositories under computational-finance topic.
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations
An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies
using the Inverse-Transform method to speed up options pricing simulations in R
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production
Collection of projects oriented around the computational finance domain.
Stock Market Prediction on High-Frequency Data Using soft computing based AI models
Python implementation of the basic model described in Chan, Nicholas Tung, and Christian Shelton. "An electronic market-maker."
JASA is a high-performance auction simulator written in JAVA. It is designed for performing experiments in agent-based computational economics.
A collection of assignment submissions from the 2021/22 MSc Computational Finance Course.
robo-advisor is a quantitative analysis script written in Python that generates the least volatile portfolio given a list of stocks, with the goal of a 0% return.
This repository contains some of the implementations related to my master thesis under supervision of Prof Josef Teichmann at ETH Zurich.
Some applications in Financial Mathematics.
Quantum Finance + Quantitative Finance
functions and scripts for the course Computational Finance a.c. 2016/2017
Monte Carlo Pricing Library in Python
Quant. Research project - Cutting-Edge project (In collaboration with Milliman & University of Paris-Saclay)
Tool for building an options dataset written in Python for deployment on the Raspberry Pi.
Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling)
Computational Finance Lecture for MSc in AI, at University of Southampton
This report explores time series analysis, algorithmic trading, and portfolio optimization. It implements an ARIMA model for forecasting, compares pairs trading strategies on Tesco and Pershing Square Holdings, and derives an efficient portfolio using five stocks from the FTSE 100 index for comparison against a 1/n baseline portfolio.
Code for extracting mean-reverting portfolios out of large data sets.
Fork of ZuInnoTe/hadoopcryptoledger with additional functionality to compute block hashes and addresses as they appear in blockexplorer
Selected problems in Science and Mathematics
Prediction of Occurrence of Circuits in Stock Prices using Machine Learning
The repository aims to provide useful resources for financial practitioners, data scientists, and software developers interested in combining mathematics and information technology to analyze and optimize financial decisions.