2021
DOI: 10.1016/j.physa.2021.125999
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The lead–lag relationship between Chinese mainland and Hong Kong stock markets

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Cited by 8 publications
(6 citation statements)
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References 24 publications
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“…The lead–lag results calculated under different T $T$ values are all positive and do not change the order of different contracts, indicating that the lead–lag results obtained in the previous experiment are stable. In addition, previous literature (Wang et al, 2017; Yuan et al, 2021) also showed that the results when T $T$ was 2 were reliable and stable, and this result has passed our consistency test as well.…”
Section: Resultssupporting
confidence: 74%
See 1 more Smart Citation
“…The lead–lag results calculated under different T $T$ values are all positive and do not change the order of different contracts, indicating that the lead–lag results obtained in the previous experiment are stable. In addition, previous literature (Wang et al, 2017; Yuan et al, 2021) also showed that the results when T $T$ was 2 were reliable and stable, and this result has passed our consistency test as well.…”
Section: Resultssupporting
confidence: 74%
“…CSI, China Securities Index; ITM, in-themoney; TOP, thermal optimal path the lead-lag results obtained in the previous experiment are stable. In addition, previous literature (Wang et al, 2017;Yuan et al, 2021) also showed that the results when T was 2 were reliable and stable, and this result has passed our consistency test as well.…”
Section: Consistency Verificationsupporting
confidence: 75%
“…Since there exists significant risk spillovers between the Chinese mainland and Hong Kong markets due to the stock connect programs of Shanghai-Hong Kong and Shenzhen-Hong Kong (Chen et al., 2021 ), we select it as a representative market and compare the intraday lead–lag relations between theses two markets. As one of the biggest global mature markets, other markets are both influenced by the US market (Ren et al., 2019 ; Yuan & Jin, 2021 ; Jin & Guo, 2021 ; Li & Chen, 2021 ). Therefore we choose it as a representative of the global mature markets.…”
Section: Data and Resultsmentioning
confidence: 99%
“…X(t) $X(t)$ and Yfalse(tfalse) $Y(t)$ will exhibit a strong linear dependence between them, which forms the basis of the consistency test, represented by the following regression: Y(t)=c+aX(tx(t))+ε(t), $Y(t)=c+aX(t-\langle x(t)\rangle )+\varepsilon (t),$where the coefficient a $a$ should be significantly different from 0 for a statically significant dependence. It is noteworthy that the method has been widely used in robustness testing for the TOP method (Meng et al, 2017; Xu et al, 2017; Yuan et al, 2021).…”
Section: Methodology and Datamentioning
confidence: 99%
“…where the coefficient a should be significantly different from 0 for a statically significant dependence. It is noteworthy that the method has been widely used in robustness testing for the TOP method (Meng et al, 2017;Xu et al, 2017;Yuan et al, 2021).…”
Section: Consistency Testmentioning
confidence: 99%