kristina969/Empirical-Asset-Pricing-via-Machine-Learning-Evidence-from-the-German-Stock-Market
Machine learning methods for identifing investment factors
This project helps financial professionals identify which characteristics of German stocks are most likely to predict their future returns. It takes in historical stock data, applies advanced machine learning techniques, and outputs insights into the most significant investment factors. Financial analysts, portfolio managers, and quantitative traders focused on the German market would find this particularly useful.
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Use this if you are a financial professional or quantitative researcher looking to discover robust investment factors within the German stock market using modern machine learning methods.
Not ideal if you are looking for a plug-and-play trading bot or a tool for markets outside of Germany.
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Apr 20, 2022
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