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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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This paper examines continuous-time models for the S&P 100 index and its constituents. We find that the jump process of the typical stock looks significantly different than that of the index. Most importantly, the average size of a jumps in the returns of the typical stock is positive, while it...
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percent dividends become procyclical, the price-dividend ratio countercyclical, and the mean of the equity risk premia reduces … horizontal and vertical innovation match financial data well due to countercyclical dividends which are either procyclical or … acyclical in US data. Countercyclical dividends redistribute income from consumption towards investment in innovation improving …
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