tmro98/machine-learning-in-asset-pricing
Machine Learning in Asset Pricing: Time-Series and Cross-Sectional Forecasting of Excess Equity Returns
This helps financial analysts and quantitative traders predict future excess equity returns by applying machine learning to market data. It takes historical stock prices, technical indicators, financial ratios, economic data, and sentiment as input, and outputs forecasts for how individual stocks or the market as a whole might perform. It is designed for investment professionals looking to enhance their forecasting strategies.
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Use this if you are a quantitative trader or investment analyst seeking to leverage machine learning models for predicting stock market movements and evaluating investment opportunities.
Not ideal if you are looking for a plug-and-play investment system or if you lack a foundational understanding of financial markets and machine learning concepts.
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Sep 21, 2023
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