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In this paper, we propose linear and nonparametric models to predict one month, three months, six months, one year, eighteen months and two years ahead crude oil price in out-of-sample background. Mainly, our forecast depends on three predictor variables, the change in crude oil inventories, its...
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This paper studies the impact of local religiosity on analyst forecast accuracy. Using the level of religious adherence as a proxy for religiosity in firm headquarter states, we find that analyst forecasts are more accurate for firms located in areas with stronger religious social norms. Our...
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