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of the S&P 500 stocks to identify which stock characteristics have been well rewarded during the time periods and assign … on the scores and weights of its features. Based on this algorithm, we choose the 50 top ranking stocks to buy. We …
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During times when the Chinese government wished to prop up the market, sell-side analysts from brokerages with significant government ownership issued relatively less pessimistic (or more optimistic) earnings forecasts, earnings-forecast revisions, and stock recommendations; they were also...
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behavioral and rational biases encountered in US economic forecasting also exists in Continental Europe, the United Kingdom and …
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Machine learning for stock market prediction has recently been popular for identifying stock selection strategies and providing market insights. In this study, we adopted machine learn‑ ing algorithms to analyze technical indicators, and Google Trends search terms based on the Thai stock...
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equilibrium (DSGE) models, estimated using Bayesian techniques, can become an additional useful tool in the forecasting kit of … central banks. First, we show that the forecasting performance of such models compares well with a-theoretical vector …
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