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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.issued2020en_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/10.24818/18423264/54.3.20.16en_US
dc.identifier.issn0424-267X
dc.identifier.issn1842-3264
dc.identifier.urihttps://dx.doi.org/10.24818/18423264/54.3.20.16
dc.identifier.urihttps://hdl.handle.net/20.500.12511/5926
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.en_US
dc.description.sponsorshipSoft Science Research Project of Fujian Province, Chinaen_US
dc.language.isoengen_US
dc.publisherAcademy of Economic Studiesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStock Marketsen_US
dc.subjectInvestor Sentimenten_US
dc.subjectWeather Conditionsen_US
dc.subjectTransaction Behavioren_US
dc.subjectInterval Type 2 Fuzzy Setsen_US
dc.subjectDEIVIATELen_US
dc.subjectTOPSISen_US
dc.titleComparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from chinese stock marketsen_US
dc.typearticleen_US
dc.relation.ispartofEconomic Computation and Economic Cybernetics Studies and Researchen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.authorid0000-0002-9858-1266en_US
dc.authorid0000-0002-8072-031Xen_US
dc.identifier.volume54en_US
dc.identifier.issue3en_US
dc.identifier.startpage263en_US
dc.identifier.endpage278en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.24818/18423264/54.3.20.16en_US
dc.identifier.wosqualityQ4en_US
dc.identifier.scopusqualityQ3en_US


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