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2015
DOI: 10.1016/j.pacfin.2014.11.005
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Liquidity provision and informed trading by individual investors

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Cited by 16 publications
(9 citation statements)
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“…The positive relationship between individual investors and PIN seems puzzling because the former have been regarded as uninformed traders due to behavioral biases (Barber and Odean, 2000), noise trading (Foucault et al, 2011) and the lack of information advantage about local stocks (Seasholes and Zhu, 2010). However, there is growing empirical evidence that individual investors possess valuable private information and engage in informed trading (Kelley and Tetlock, 2013;Fong et al, 2014a;Tian et al, 2015). This possibility of individuals having private information cannot be ruled out in the context of Malaysia, given the prevalence of ownership concentration in the hands of family (see Carney and Child, 2013).…”
Section: Estimation Results and Discussionmentioning
confidence: 99%
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“…The positive relationship between individual investors and PIN seems puzzling because the former have been regarded as uninformed traders due to behavioral biases (Barber and Odean, 2000), noise trading (Foucault et al, 2011) and the lack of information advantage about local stocks (Seasholes and Zhu, 2010). However, there is growing empirical evidence that individual investors possess valuable private information and engage in informed trading (Kelley and Tetlock, 2013;Fong et al, 2014a;Tian et al, 2015). This possibility of individuals having private information cannot be ruled out in the context of Malaysia, given the prevalence of ownership concentration in the hands of family (see Carney and Child, 2013).…”
Section: Estimation Results and Discussionmentioning
confidence: 99%
“…Third, the types of account that investors trade do matter for liquidity, which in the Malaysian context, is between direct and nominee accounts. In Australia, Fong et al (2014a) and Tian et al (2015) find that the types of retail brokers (discount versus full-service) that investors engage are important to the informativeness of trades. Last but not least, apart from the popular information asymmetry and trading effects, liquidity is also driven by the largely ignored competition channel.…”
Section: Resultsmentioning
confidence: 99%
“…We match the broker numbers provided by SIRCA with the broker list provided by IRESS to work out the broker identities (names) behind every special and matching orders. For each order in our sample, we identify whether the broker is an institution or a retail trader using the classifications of brokers in Fong et al (2014) and Tian et al (2015). This classification process involves manually searching the descriptions on the broker's website to determine its main group of customers.…”
Section: Who Uses Special Orders?mentioning
confidence: 99%
“…However, such aggressiveness decreases over time. Tian, Do, Duong and Kalev (2015) examine the relation between individual investor trading and future stock returns in the Australian equity market and show that the net trading individual investors is positively related to future returns. They further show that this association is driven by individual investors who play the role of liquidity providers.…”
Section: Accepted Manuscriptmentioning
confidence: 99%