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Fear Moves Markets: Sentiment-Augmented POMP for Volatility Modeling of Bitcoin Returns
Cryptocurrency markets exhibit extreme price swings and sentiment-driven regime shifts, which traditional volatility models often fail to capture. To address this, we develop a partially observed Markov processes (POMP) model augmented with sentiment and heavy-tailed distributions. Specifically, we
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