2017
DOI: 10.1111/boer.12138
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Trader Type Effects on the Volatility‐volume Relationship Evidence From the Kospi 200 Index Futures Market

Abstract: We investigate whether the trading activity generated by investors with different access to information and trading motives has positive or negative impact on index futures volatility. Surprises in non-member institutional, individual and foreign investors' trading volume are positively associated with volatility in most of the cases. For member institutional investors, unexpected trading volume is positively related to volatility. Long-run changes in the trading activity also affect volatility differently acr… Show more

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Cited by 7 publications
(6 citation statements)
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References 85 publications
(190 reference statements)
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“…However, to further improve the direction prediction accuracy and trading profits presented in this paper, other researchers could conduct experiments to consider predictions from XGBoost using futures of other time scales such as fifteen or thirty. Furthermore, this research also could be expanded to high-frequency trading in other futures markets [75]- [77] such as S&P 500 index futures.…”
Section: Discussionmentioning
confidence: 99%
“…However, to further improve the direction prediction accuracy and trading profits presented in this paper, other researchers could conduct experiments to consider predictions from XGBoost using futures of other time scales such as fifteen or thirty. Furthermore, this research also could be expanded to high-frequency trading in other futures markets [75]- [77] such as S&P 500 index futures.…”
Section: Discussionmentioning
confidence: 99%
“…It is investigated whether trading activity generated by investors with varying information access and trading motivations has a positive or negative impact on index futures volatility. When time-to-maturity effects are taken into account, surprises in open interest are linked to more volatility near the end of a contract, which is the opposite of what is seen during normal times [27].…”
Section: Theme 1: Volatility and Optionsmentioning
confidence: 94%
“…The M.D.H. model has been widely adopted in empirical studies to explain the volume-volatility relationship in stock and futures markets, e.g., Kartsaklas (2018), Naik et al (2018) and Bohl and Stefan (2020). The S.I.A.H.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Pevzner et al (2015) report increases in both trading volume and stock return variance during the earnings announcement period by researching across 25 countries. Paital and Sharma (2016) The relationships between intraday trading volume and stock volatilities in other markets such as futures markets are frequently investigated by recent studies, e.g., Balcilar et al (2017), Bollerslev et al (2018), Kartsaklas (2018), Ma et al (2018) and Koubaa and Slim (2019). Studies regarding the liquidity-volatility relationship also contribute to the understanding of the volume-volatility relationship because liquidity is particularly determined by trading volume (Chordia et al, 2000;Be Rdowska-S ojka & Kliber, 2019).…”
Section: Literature Reviewmentioning
confidence: 99%