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Under the assumption that the cryptocurrency market has unobserved heterogeneity, an HMM allows us to study 1 the extent to which cryptocurrency markets shift due to interactions with social sentiment during a bull or bear market and 2 the heterogeneous pattern of cryptocurrency market behavior.
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Full-text links: Access Paper: Download a PDF of the paper titled Expectile hidden Markov regression models for analyzing cryptocurrency returns, by Beatrice Foroni and 2. PARAGRAPHBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy.
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Hidden Markov Model : Data Science ConceptsA hidden Markov model is proposed for the analysis of time-series of daily log-returns of the last 4 years of Bitcoin, Ethereum, Ripple. A novel hybrid model is proposed that uses Hidden Markov Models to describe cryptocurrencies historical movements to predict future movements with Long. Hidden Markov models is a statistical signal prediction model for sequential data, which has been widely used, among else, to predict economic.
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