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  1. Stock-returns-forecasting-using-Bayesian-methods Stock-returns-forecasting-using-Bayesian-methods Public

    Forecast monthly stock returns by implementing a hidden Markov model with MCMC sampling using

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    Automatically extract the links from the unread subscribed emails with a certain label, and retrieve the job description texts. Then estimate the relevance of the job using a list of key words.

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    This projects uses scraped news from major news wires and then implement machine learning methods to predict uncertainty shocks generated by ARIMA models.

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