2011
DOI: 10.1111/j.2041-6156.2011.01053.x
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Does Overconfidence Harm Individual Investors? An Empirical Analysis of the Taiwanese Market

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Cited by 24 publications
(7 citation statements)
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“…Another criterion used to rank and classify the overconfidence of investors is the actual average number of transactions proposed by Ho (2011). This measure consists of the division between total number of transactions and the actual number of active periods with transactions.…”
Section: Actual Average Number Of Transactionsmentioning
confidence: 99%
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“…Another criterion used to rank and classify the overconfidence of investors is the actual average number of transactions proposed by Ho (2011). This measure consists of the division between total number of transactions and the actual number of active periods with transactions.…”
Section: Actual Average Number Of Transactionsmentioning
confidence: 99%
“…This measure consists of the division between total number of transactions and the actual number of active periods with transactions. Investors with frequent trading and investors with general trading will not be classified into the same group, which should mitigate the frequency of type I and type II errors Ho (2011). Ho (2011) proposes to replace the turnover rate with the actual average number of transactions -AANT:…”
Section: Actual Average Number Of Transactionsmentioning
confidence: 99%
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“…The advantage of this approach is that the system equations can incorporate all of the variables into the equation, which has full use of the other information from the equations, to increase the explanatory power of this equation. For example, gender may have an impact on the disposition effect, and the ratio of sell orders (turnover rate) may also affect the disposition effect [32]. Additionally, because the herd effect will result in irrational trading behavior [4], social relationships may also affect the disposition effect.…”
Section: System Estimates Modelmentioning
confidence: 99%