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predictability, popular predictors from the literature fail to outperform the simple historical average benchmark forecast in out … model restrictions, forecast combination, diffusion indices, and regime shifts—improve forecasting performance by addressing …
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We show that understanding the role of analysts' forecast bias is central to discovering the behavior that causes some … stocks to have high analyst forecast dispersion. This finding is important because stocks with high analyst forecast … dispersion contribute significantly to many important anomalies. We first explain how forecast bias produces significant negative …
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Purpose – This study aims to use gray models to predict abnormal stock returns.Design/methodology/approach – Data are collected from listed companies in the Tehran Stock Exchange during 2005-2015. The analyses portray three models, namely, the gray model, the nonlinear gray Bernoulli model...
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