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Calendar Effect

   Also found in: Wikipedia 0.01 sec.
Calendar effect
Describes the tendency of stocks to perform differently at different times. For example, a number of researchers have documented that historically, returns tend to be higher in January compared to other months (especially February). Others have documented returns patterns across days of the week and within the day. Some of these patterns are found in volume and volatility as well as returns.

Calendar Effect
The extent to which holding a stock at a particular time helps or harms returns. That is, some analysts believe that stocks perform better or worse on given days, months, or even years. Analysts disagree on which, if any, calendar effects are "real," but they can have an impact on the psychological outlook of investors, which can help or harm returns. For example, some investors believe that October is a bad month to buy because many of the great stock market crashes took place in October. Whether or not there is any evidence for this, it may discourage enough investors from buying that it actually will harm stock prices. Major examples of calendar effects include the January effect and the presidential election cycle theory.


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8 percent when corrected for calendar effects, in line with forecasts and an improvement from the revised decrease of 5.
2%, aided by the calendar effect of an early Easter, which boosted growth rates by approximately 2%.
Since the calendar effects do not follow the normal distribution (see Table 1), we standardize each calendar effect in a robust way estimating the robust location and the robust scale parameters using the Least Median of Squares (LMS) method proposed by Rousseeuw and Leroy (1987).
 
 
 
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