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Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.

An Investment Manager designed to help users achieve the best possible returns on their investments by tailoring portfolios according to their risk preferences. By leveraging advanced machine learning techniques and financial theories, the application aims to offer optimized investment strategies.

Using Markowitz portfolio theory on a limited-choice 401k

Mean Variance (Markowitz) Portfolio Optimization and Beyond

Backtesting Algo-Trading Strategies, FinTech Analysis & Portfolio Optimization: NVDA, AMD, INTC, MSI vs S&P 500 Benchmark

Optimal fund portfolio based on the Markowitz optimization theory

The workings for an Asset Pricing exercise from MSc Quantitative Finance 2023/24 at Bayes Business School

ESG-investment AI

Robo-advisor

Performing Basic Exploratory Data Analysis on popular stocks, diversifying the basic portfolio by selecting stocks from different sectors, then optimizing the weights of each stock in the portfolio using Modern Portfolio Theory and plotting the Markowitz Curve.

Dynamic portfolio optimization

Digital Tools For Finance course assignment

This is an in-depth analysis tool for equity fund managers focusing on large-cap shares.

A program for financial portfolio management, analysis and optimisation.

This project was carried out as the final assignment for the Mathematical Optimization for Data Science course. The goal of the analysis was to compare two variants of the Frank-Wolfe Method with the Projected Gradient Method on the Markowitz portfolio optimization problem.

Using Shiny for Python to visualize mean-variance portfolio optimization, using mean monthly returns.

A theoretical derivative pricing calculator using pricing models such as Black-Scholes, Binomial, and Monte Carlo simulations, implemented with Python and SciPy.

In this capstone project, we will perform portfolio analysis, visualization and optimization. Portfolio analysis is the process of selecting the optimal portfolio out of a set of available portfolios with the objective of maximizing returns and reducing risks.

📉Some projects in ML and DL📈