2019
DOI: 10.3390/su11143845
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The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect

Abstract: This study examines the sustainability of financial integration between China (represented by Shenzhen and Shanghai) stock markets and Hong Kong stock market over the period of pre and post launch of the Stock Connect Scheme. This paper aims to fill the gap in the financial literature by providing empirical research on the dynamics of the financial integration process, and examining the sustainability of financial integration among the three Chinese stock markets. We apply cointegration and both linear and non… Show more

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Cited by 20 publications
(9 citation statements)
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“…The difference between Morishima elasticities and CPE is that Morishima elasticities consider both substitution and income effects, but CPE only considers the substitution effect. The difference between CPE and Morishima elasticities is similar to the distinction between economic measures and engineering measures of substitution [32]. Different research objectives will prefer to adopt different measures.…”
Section: Methodologiesmentioning
confidence: 86%
“…The difference between Morishima elasticities and CPE is that Morishima elasticities consider both substitution and income effects, but CPE only considers the substitution effect. The difference between CPE and Morishima elasticities is similar to the distinction between economic measures and engineering measures of substitution [32]. Different research objectives will prefer to adopt different measures.…”
Section: Methodologiesmentioning
confidence: 86%
“…This paper investigates the stock exchange merger of NASDAQ with OMX and examines the sustainability of co-movement between the stock markets of OMX and NASDAQ, that could affect investors' profit and decision making in their investment, changing their trading strategies, and could affect market efficiency and create arbitrage opportunity, anomaly, and additional risk. Thus, extension of our paper could include studying co-movement of other series [55,[58][59][60][61][62][63][64][65][66][67][68][69][70][71], co-movement of using different trading strategies [47,[72][73][74][75], co-movement of making use of different anomalies [76][77][78], co-movement of investing in different markets [60,64,[79][80][81][82], sustainability of making use of different market conditions [66,83], and co-movement in different types of risk [84][85][86][87][88][89][90][91][92][93][94][95]…”
Section: Discussionmentioning
confidence: 99%
“…The Granger causality test is one of the most important tests in behavioral economics and behavioral finance. However, most studies only test for linear causality but not nonlinear causality among different variables while it is well known that linear causality and nonlinear causality are "independent" in the sense that existence of linear causality does not imply that of nonlinear causality and vice versa, see, for example, ), Demirer et al (2019, , , Cheng et al (2019) and the references therein for more information. To circumvent the problem, Hiemstra and Jones (1994) first introduce a nonlinear Granger causality statistic to test whether there is any nonlinear causality between trading volume and stock prices.…”
Section: Unit Root Cointegration Causality and Nonlinearitymentioning
confidence: 99%