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This paper studies static rational inattention problems with multiple actions and multiple shocks. We solve for the optimal signals chosen by agents and provide tools to interpret information processing. By relaxing restrictive assumptions previously used to gain tractability, we allow agents...
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machine learning. We propose a novel adjusted learning algorithm based on peak price tracking for OLPS to tackle this … challenge. The algorithm is based on an aggressive strategy with residual information and transaction costs. We first propose an … adjusted online portfolio selection algorithm using Peak Price Tracking Approach (PPTA) to improve the accuracy of return …
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