2017
DOI: 10.1016/j.najef.2017.04.002
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Stock overreaction to extreme market events

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Cited by 50 publications
(28 citation statements)
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References 36 publications
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“…(Pedro Piccoli & Chaudhury, Alceu Souza, 2019) menyelidiki perilaku individu saham AS selama 21 hari perdagangan setelah peristiwa pergerakan ekstrim di indeks pasar pada satu hari. Mereka menemukan saham tersebut cenderung bereaksi berlebihan setelah peristiwa positif dan negatif, menunjukkan bahwa reaksi berlebihan dan volatilitas pasar terkait.…”
Section: Pendahuluanunclassified
“…(Pedro Piccoli & Chaudhury, Alceu Souza, 2019) menyelidiki perilaku individu saham AS selama 21 hari perdagangan setelah peristiwa pergerakan ekstrim di indeks pasar pada satu hari. Mereka menemukan saham tersebut cenderung bereaksi berlebihan setelah peristiwa positif dan negatif, menunjukkan bahwa reaksi berlebihan dan volatilitas pasar terkait.…”
Section: Pendahuluanunclassified
“…Kejadian penyimpangan overreaction sebelumnya telah diteliti secara empiris di seluruh dunia, misalnya Durand et.al (2013), Bessière dan Elkemali (2014) dan Piccoli et al (2017). Durand et al (2013) meneliti gejala overreaction yang terjadi di pasar keuangan Australia.…”
Section: Gambar 1 Pergerakan Indeks Ihsg and Lq-45 DI Sekitar Tanggal unclassified
“…Bessière dan Elkemali (2014) menemukan terjadinya market overreaction yang terjadi di pasar saham Eropa pada periode 1997-2007. Overreaction juga terjadi pada saham-saham di Amerika Serikat pada periode 1926-2013 ketika terjadi peristiwa positif dan negatif atas sebuah kasus (Piccoli et al, 2017).…”
Section: Gambar 1 Pergerakan Indeks Ihsg and Lq-45 DI Sekitar Tanggal unclassified
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“…Return predictability in securities markets is important both due to its connotations to profitable trading opportunities (Kaniel et al, 2008) and for its implications vis-a-vis market efficiency (Poterba and Summers, 1988), yet past literature yielded conflicting insights regarding the presence or degree of predictability across markets. In practice, stock market data often feature predictability patterns, which may emanate from over-or under-reaction to news (Piccoli et al, 2017;Al-Thaqeb, 2018), and market microstructure factors such as non-synchronous trading (Camilleri and Green, 2014), the bid-ask spread bounce (Kandel et al, 2012), the execution of stale limit orders (Berkman, 1996), and the splitting of large orders into smaller ones (Lee et al, 2004).…”
Section: Introductionmentioning
confidence: 99%