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Hidden Markov model (HMM) is a powerful machine-learning method for data regime detection, especially time series data. In this paper, we establish a multi-step procedure for using HMM to select stocks from the global stock market. First, the five important factors of a stock are identified and...
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Gaston Michel investigates whether shocks to real estate markets constitute an important source of the risk that is priced in the cross section of equity returns. His results document that real estate risk explains a large part of the cross-sectional variation in equity returns. He shows that an...
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fundamental value. Finally, it outlines the building blocks of liquidity theory and explains how you can use them to predict the …. Biderman's long overdue book outlines the theory and evidence behind 'Trading Float,' the actual-and exploitable-power behind … -- PROMOTING GLOBAL PROSPERITY -- HONORING MY PARENTS -- Part I: Introducing Liquidity Theory -- Chapter 1: A Tale of Fortune Lost …
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The purpose of this paper is to make a quantitative and qualitative critical analyse regarding the three important aspects of stock market evolution. First, the forecasting problems are presented and analyse in order to establish the main problems and the potential solutions. Second, the...
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