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We investigate the impact of China's economic policy uncertainty (EPU) on the time series variation of Chinese stock market expected returns. Using the news based measure in Baker, Bloom, and Davis (2016), we find that EPU predicts negatively future stock market return at various horizons. This...
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We adopt a portfolio perspective and apply a subset combination approach to consolidate the joint predictability of a large number of firm characteristics in the Chinese A-share market. Our approach incorporates higher moments of stock return distribution and imposes shrinkage on the predictive...
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Our study tries to explore whether the financial strength proxied by F-score can predict the returns in Chinese stock market and its economic explanations. Results show that the financially stronger firms can generate higher expected raw returns and abnormal returns in Fama-French five-factor...
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Using the long-term wavelet component of monthly S&P 500 excess returns as supervision information, we employ a machine learning method to extract the common predictive information of 14 prevalent macroeconomic variables, and construct a new macroeconomic index aligned for predicting stock...
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This paper compares the explanations and predictabilities of 35 firm-level characteristics between developed and emerging stock markets using instrumented principal components analysis (IPCA). In contrast to the weak performance of global model in each region, the local model performs better...
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