Enhancing Stock Price Predictions with Multi-Step Regression: Introducing the D-Va Framework
A Novel Approach Combining Hierarchical Variational Autoencoders and Diffusion Probabilistic Methods for Superior Financial Forecasting and Portfolio Optimization
Article 71,
Predicting stock prices over time is crucial in finance. It helps assess risk and volatility, guiding banks in trading strategies and meeting regulatory requirements for liquidity. However, forecasting prices is challenging due to the unpredictable nature of stock data.
Read the research paper here: https://arxiv.org/pdf/2309.00073v2
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