2014
DOI: 10.17533/udea.le.n81a4
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Anomalías de calendario en los mercados accionarios latinoamericanos: una revisión mediante el procedimiento de Bonferroni

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Cited by 6 publications
(10 citation statements)
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References 32 publications
(13 reference statements)
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“…Conversely, Rojas & Kristjanpoller (2014) did not find any DOW anomaly in the IPC between 1997 and 2008 by applying Bonferroni's test. The results of the GARCH in mean (GARCH-M) model used by Torres & Alonso (2010) also rejected the presence of the DOW effect in the Mexican market between 2001 and 2009.…”
Section: The Day-of-the-week Effectmentioning
confidence: 75%
See 1 more Smart Citation
“…Conversely, Rojas & Kristjanpoller (2014) did not find any DOW anomaly in the IPC between 1997 and 2008 by applying Bonferroni's test. The results of the GARCH in mean (GARCH-M) model used by Torres & Alonso (2010) also rejected the presence of the DOW effect in the Mexican market between 2001 and 2009.…”
Section: The Day-of-the-week Effectmentioning
confidence: 75%
“…The DOW and the HE anomalies for the Mexican market have been the subject of several studies, but their findings are frequently contradictory (e.g., Duarte, Sierra, & Garcés, 2013;Rojas & Kristjanpoller, 2014;Winkelried & Iberico, 2018). The present research contributes to the literature on 113 calendar anomalies of the Mexican Stock Exchange (MSE) by examining that market's capitalization subindices besides the aggregate stock market index, the Índice de Precios y Cotizaciones (IPC), to contrast both seasonal effects in different subsamples.…”
Section: Introductionmentioning
confidence: 99%
“…Using stochastic dominance Kritsjanpoller and Muñoz (2012) found also support for the weekend effect in Latin American Markets. Furthermore, Rojas and Kristjanpoller (2014) also obtained support for the weekend effect in Latin America even when they adjust the statistical test from committing a Type I error (i.e. to reject wrongly the null hypothesis of not having significant returns) using the so-called Bonferroni correction.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The Monday effect, for example, exists when on this day the average return is consistently lower, and the volatility is systematically higher than on the other days of the week. Also, the change of month effect indicates that stock prices tend to increase over the last four days of the present month and the first three days of the subsequent one (Kristjanpoller and Muñoz, 2012;Quantpedia, 2015).…”
Section: Calendar Anomaliesmentioning
confidence: 99%