Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from chinese stock markets

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dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-8072-031X
dc.contributor.authorHsiao, Hsiao-Fen
dc.contributor.authorXia, Chunying
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2020-10-16T07:57:28Z
dc.date.available2020-10-16T07:57:28Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThis study investigates the local weather effects on investor sentiment as well as returns in the China's stock market. For this purpose, a comparative evaluation is performed by making both econometric analysis and fuzzy logic-based examination. In the first stage, in the second stage, interval type 2 (IT2) fuzzy DEVIATEL and TOPSIS methods are used respectively for evaluating the performance of stock markets in the selected provinces of China. On the other side, linear regression analysis is made to reach this objective. In this framework, stock returns of China A -shares for the period of 1 January 2011 - 31 December 2017 are taken into consideration. The results of these two different analyses are quite consistent. The findings indicate that investors feel more optimistic about stocks and are more inclined to invest when sunlight is stronger. In addition to this issue, it is also concluded that investors are more inclined to invest in local stocks because of home bias and this situation leads to increase in the local stock market returns. Therefore, in bad weather, it would be appropriate to receive incentives to facilitate investors to trade on the stock exchange. For example, it is important to take measures to reduce the problems of investors' motivation, such as inaccessibility of session rooms and slow delivery of orders.
dc.description.sponsorshipSoft Science Research Project of Fujian Province, Chinaen_US
dc.identifier.citationHsiao, Hsiao-F., Xia, C., Yüksel, S. ve Dinçer, H. (2020). Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from chinese stock markets. Economic Computation and Economic Cybernetics Studies and Research, 54(3), 263-278. https://dx.doi.org/10.24818/18423264/54.3.20.16
dc.identifier.doi10.24818/18423264/54.3.20.16
dc.identifier.endpage278
dc.identifier.issn0424-267X
dc.identifier.issn1842-3264
dc.identifier.issue3
dc.identifier.scopusqualityQ3
dc.identifier.startpage263
dc.identifier.urihttps://dx.doi.org/10.24818/18423264/54.3.20.16
dc.identifier.urihttps://hdl.handle.net/20.500.12511/5926
dc.identifier.volume54
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAcademy of Economic Studies
dc.relation.ispartofEconomic Computation and Economic Cybernetics Studies and Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectStock Markets
dc.subjectInvestor Sentiment
dc.subjectWeather Conditions
dc.subjectTransaction Behavior
dc.subjectInterval Type 2 Fuzzy Sets
dc.subjectDEIVIATEL
dc.subjectTOPSIS
dc.titleComparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from chinese stock markets
dc.typeArticle

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