دورية أكاديمية

Noise in Expectations: Evidence from Analyst Forecasts.

التفاصيل البيبلوغرافية
العنوان: Noise in Expectations: Evidence from Analyst Forecasts.
المؤلفون: Silva, Tim de, Thesmar, David
المصدر: Review of Financial Studies; May2024, Vol. 37 Issue 5, p1494-1537, 44p
مصطلحات موضوعية: BUSINESS analysts, BUSINESS forecasting, ECONOMIC forecasting, FINANCIAL performance, PARSIMONIOUS models, BOUNDED rationality, STATISTICAL bias, ECONOMETRICS
مستخلص: Analyst forecasts outperform econometric forecasts in the short run but underperform in the long run. We decompose these differences in forecasting accuracy into analysts' information advantage, forecast bias, and forecast noise. We find that noise and bias strongly increase with forecast horizon, while analysts' information advantage decays rapidly. A noise increase with horizon generates a mechanical reversal in the sign of the error-revision (Coibion-Gorodnichenko) regression coefficient at longer horizons, independently of over-/underreaction. A parsimonious model with bounded rationality and a noisy cognitive default matches the term structures of noise and bias jointly. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:08939454
DOI:10.1093/rfs/hhad091