There are 9 repositories under portfolio-construction topic.
Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)
Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.
Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Building portfolio websites for developers who have better things to do
Mean Variance (Markowitz) Portfolio Optimization and Beyond
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Portfolio Construction Functions under the Basic Mean_Variance Model, the Factor Model and the Black_Litterman Model.
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
applications for risk management through computational portfolio construction methods
Portfolio Website using GitHub Pages. You can visit the website here:
Attribution and optimisation using a multi-factor equity risk model.
'Portfolio Analysis, methods for portfolio optimization'
Entropy Pooling in Python with a BSD 3-Clause license.
This repository shows the application of PCA technique for risk factor modelling of financial securities.
Resources for Quantitative Finance
DRIP Asset Allocation is a collection of model libraries for MPT framework, Black Litterman Strategy Incorporator, Holdings Constraint, and Transaction Costs.
User oriented Portfolio optimization application with several configuring options. Back test included. (IBEX35; to be expanded)
Constructing a portfolio of crypto and stock assets utlizing ESG scores as well as machine learning models to predict buy / sell signals after establishing asset weights using hierarchical risk parity models.
contains source code for my Legacy portfolio + TimeLine
Master thesis project. The improved estimator of the covariance matrix of asset returns is employed to derive a new trading strategy based on a two-step procedure. First, it shrinks the asset universe via a subset selection, leaving only the most suitable assets. Then, it performs the mean-variance analysis. Back-testing is carried out in the U.S. stock market between 2018 and 2020. For comparison purposes, the code also implements also other strategies, such as the widely-used momentum strategy. The proposed technique is observed to deliver a very good and much more stable performance with respect to its competitors.
A simple Portfolio website for everyone and along with that you learn about opensource
Easily create your own web portfolio with My Portfolio. Download, customize, and showcase your talents and achievements! follow the instructions and you are good to go.
Coding my web portfolio using Reactjs.
Analyzing Portfolios, inspired by PortfolioCharts.com
University Project: constructing portfolios by blending different types of factor portfolios (low-beta, value, and momentum). We investigate different techniques to weight our portfolio and calculating a combined score.
A NodeJS app generating an iframe based on information about your repository, so you can show off your portfolio in an elegant way
This is a simple portfolio.
Small, fully customizable, fast search engine
Financial tool that construct an optimized and diversified portfolio for a user given her level of risk and her current portfolio.