2004
DOI: 10.2139/ssrn.739344
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An Analysis of the Impacts of Non-Synchronous Trading On Predictability: Evidence from the National Stock Exchange, India

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Cited by 9 publications
(18 citation statements)
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“…Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited. (Camilleri and Green, 2014). In addition, the underlying news pattern (which is not observed) may in fact justify some instances of reversal.…”
Section: Limitations Of This Methodology Is Warranted the Test May Bmentioning
confidence: 98%
“…Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited. (Camilleri and Green, 2014). In addition, the underlying news pattern (which is not observed) may in fact justify some instances of reversal.…”
Section: Limitations Of This Methodology Is Warranted the Test May Bmentioning
confidence: 98%
“…Another limitation typically arises when modelling stock prices, in the sense that one does not usually account for all the intricacies inherent in such data. For instance, the study did not consider factors such as spillovers from other markets (Camilleri, 2010;Mensi et al, 2017), non-synchronous trading (Day & Wang, 2002;Camilleri & Green, 2014), and the trading setup (Camilleri, 2015;Hendershott & Moulton, 2011). Despite that this study abstracts from the former aspects, we do not feel that this compromises the validity of the results, particularly in view of the emphasis which we laid on robustness-checking and the different methodologies applied.…”
Section: Irxmsmentioning
confidence: 98%
“…This may tilt results in favour of better performing entities, because underperforming funds are more likely to exit the market (Lai & Wang, 2016) and the merging of funds may be connected with unsatisfactory perfromance (Wang & Huang, 2013). Finally, given that the NAVs of the funds depend on the prices of the underlying holdings such as stocks, the former are prone to unaccounted-for factors such as stock price seasonality (Camilleri, 2008;Lucey& Whelan, 2004), and non-synchronous trading effects (Day & Wang, 2002;Camilleri & Green, 2014).…”
Section: Resultsmentioning
confidence: 99%