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DC FieldValueLanguage
dc.contributorFaculty of Businessen_US
dc.contributor.advisorWei, Steven (AF)en_US
dc.creatorDeng, Jianmin Dave-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/11195-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleSame firm, same news, different reaction empirical study on China A+H sharesen_US
dcterms.abstractThis paper studies the daily returns of China A+H shares cross-listed and traded in the China stock markets (referred to as A shares) and the Hong Kong stock market (referred to as H shares) and finds that the stock price fluctuations of A+H shares have obvious differences for the same news on the same trading day in both markets. An algorithm based on big data mining and AI techniques is used to analyze the relationship between more than 110,000 news items related to the stock prices of A+H shares from 2014 to 2016. The publication of a news item related to a cross-listed firm results in a significantly different impact on the daily returns for the same company between the two markets. I further analyze the news sentiment and document that bad news is positively correlated with the difference of the daily return, while good news results in no significant difference. Furthermore, the launch of the cross-boundary investment channel, "Shanghai-Hong Kong Stock Connect Scheme" in November 2014, has actually not reduced the gap between the two markets. This empirical study take big data logic and use AI technology as new attempt to analyze the sample, and adds a new dimension to the line of research on the A+H stock price return based on news information and opens the door for future studies.en_US
dcterms.extent71 pagesen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2019en_US
dcterms.educationalLevelD.B.A.en_US
dcterms.educationalLevelAll Doctorateen_US
dcterms.LCSHStocks -- Pricesen_US
dcterms.LCSHInvestment analysisen_US
dcterms.LCSHStock exchanges -- China -- Hong Kongen_US
dcterms.LCSHStock exchanges -- Chinaen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/11195