Review of Financial Studies · 1988 · 1.2K citations · 36 references
BusinessFinanceClimatologyForecastingTime Series AnalysisAnomaly Detection In Time SeriesBusiness CyclesMarket AnomaliesSeasonal ForecastingSeasonality AnalysisCalendar AnomaliesReturn SeasonalitySeasonal AnomaliesSeasonal Anomaly DetectionSeasonal Forecast Error AnalysisSeasonal Trend AnalysisSeasonality AnomaliesStock Market Anomalies
This study uses 90 years of daily data on the Dow Jones Industrial Average to test for the existence of persistent seasonal patterns in the rates of return. Methodological issues regarding seasonality tests are considered. We find evidence of persistently anomalous returns around the turn of the week, around the turn of the month, around the turn of the year, and around holidays.
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