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dc.contributor.advisor김세완-
dc.contributor.authorHe, Yunou-
dc.creatorHe, Yunou-
dc.date.accessioned2021-01-25T16:30:05Z-
dc.date.available2021-01-25T16:30:05Z-
dc.date.issued2021-
dc.identifier.otherOAK-000000173173-
dc.identifier.urihttp://dcollection.ewha.ac.kr/common/orgView/000000173173en_US
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/256018-
dc.description.abstractIn the investment decision-making process of investors, due to limited ability, there will be many judgment biases. In many cases, investor sentiment will seriously affect stock prices, and stocks with strong subjective valuation capabilities are more likely to be affected by emotions. Among them, new stocks, small-cap stocks, company stocks with weaker stability, stocks with growth potential and stocks without dividends are particularly affected by investor sentiment. Emotions can generate speculation. For example, when stocks rise, it is extremely attractive to certain optimistic investors. Their purchase of stocks will further boost stock prices and further promote consumer confidence. On the contrary, when stocks fall, the rise will cause a large-scale sell-off by following investors, leading to a continuous decline in investor sentiment.;이 논문는 Python을 사용하여 인기있는 소셜 플랫폼 인Weibo를 통해 빅 데이터를 캡처하고 분석하여 Weibo 소비자정서가 온라인 회사의 개별 주식에 관련성 영향을 미치는지연구하는 것을 목표로합니다목표로합니다.중국에서 가장 영향력있는 인터넷 회사를 선택하여 빅 데이터 샘플의 충분한 활용을 촉진합니다촉진합니다. Python 웹 크롤러를 사용하여 Weibo에서 인터넷 회사에 대한 투자자 댓글을 획득하고 획득 한 댓글을 통해 소비자 정서 지수를 가져옵니다가져옵니다.그런 다음 얻은 온라인 회사 감정 지수와 회사의 주식수익률을 OLS 모델로 대입하여 두 가지가 관련성이 있는지 확인합니다합니다.-
dc.description.tableofcontentsI.Introduction 1 II.Study object 3 A.Research purpose 3 B.Research significance 4 C.The theoretical basis of investor sentiment predicting stockreturns 7 D.Weibo sentiment and its prediction on the stock market 16 III. Method 19 A.The construction of investor sentimentindex 19 B.Effectiveness analysis 29 IV. Results 29 A.Empirical analysis results 29 B.Conclusion and Outlook 31 Bibliography 33 Appendix 37 Abstract(inKorean) 49-
dc.formatapplication/pdf-
dc.format.extent1478152 bytes-
dc.languageeng-
dc.publisher이화여자대학교 대학원-
dc.subject.ddc300-
dc.titleCustomer sentiment effect on Chinese Internet companies Stock price-
dc.typeMaster's Thesis-
dc.title.subtitleBigdata analysis based on Weibo-
dc.format.pagei, 49 p.-
dc.identifier.thesisdegreeMaster-
dc.identifier.major대학원 경제학과-
dc.date.awarded2021. 2-
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