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Measuring bias is important as it helps identify flaws in quantitative forecasting methods or judgmental forecasts. It can, therefore, potentially help improve forecasts. Despite this, bias tends to be under represented in the literature: many studies focus solely on measuring accuracy. Methods...
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In this dissertation, I examine the impact of earnings management and expectations management on the usefulness of earnings and analyst forecasts in firm valuation. Earnings and analyst forecasts are important inputs into accounting valuation models. Their ability to reflect current and predict...
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I show that the probability that the Board of Governors of the Federal Reserve System staff's forecasts (the "Greenbooks'") overpredicted quarterly real gross domestic product (GDP) growth depends on both the forecast horizon and also whether the forecasted quarter was above or below trend real...
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