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When News Gets Old: Portfolio Allocation with Reinforcement Learning and Large Language Models
Financial news can influence investment decisions long after publication. Timely news may reach an investor before prices fully adjust, whereas older news may already be reflected in prices. We examine two ways to handle aging signals: retain them and give a portfolio policy timing information, or f
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