Twitter-Based Future Orientation Measures and The Turkish Stock Market

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dc.contributor.advisor Santagiustina, Carlo Romano it_IT
dc.contributor.author Atabay, Nil <1994> it_IT
dc.date.accessioned 2020-07-10 it_IT
dc.date.accessioned 2020-09-24T12:05:23Z
dc.date.issued 2020-07-28 it_IT
dc.identifier.uri http://hdl.handle.net/10579/17780
dc.description.abstract This study focuses on the future orientation and sentiment of investors in relation to Turkey and its stock market. First, I analyze the future orientation of investors, and their polarity, by constructing Twitter-based sentiment measures and relate them to existing Consumer Confidence Indexes and Business Confidence Indexes. Then, I estimate the relation of these measures with the Istanbul Stock Market Index (BIST) to check whether the sentiment and future orientation of investors has affected the stock market in Turkey from 2010 to 2019. Twitter-based sentiment measures are created using a sentiment dictionary-based approach, applied to a filtered collection of tweets about Turkey, published from 2010 to 2019. In particular, I use only tweets that include future-oriented semantic markers and tweets that have to do with investing or doing business in Turkey. Constructed Twitter-based sentiment measures can be used to understand the sentiment dynamics and expectations polarity w.r.t investing in the Turkish market in the upcoming periods. Being based on future-oriented tweets, the proposed measures signal the degree of optimism or pessimism conveyed through Twitter. By analyzing the fluctuations of these measures over time, I show the sensitiveness of the international audience to key events occurring in Turkey and their relationship with financial market fluctuations. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Nil Atabay, 2020 it_IT
dc.title Twitter-Based Future Orientation Measures and The Turkish Stock Market it_IT
dc.title.alternative Twitter-Based Future Orientation Measures and The Turkish Stock Market it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2019/2020 - Sessione Estiva it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 877919 it_IT
dc.subject.miur SECS-P/05 ECONOMETRIA it_IT
dc.description.note This study focuses on the future orientation and sentiment of investors in relation to Turkey and its stock market. First, I analyze the future orientation of investors, and their polarity, by constructing Twitter-based sentiment measures and relate them to existing Consumer Confidence Indexes and Business Confidence Indexes. Then, I estimate the relation of these measures with the Istanbul Stock Market Index (BIST) to check whether the sentiment and future orientation of investors has affected the stock market in Turkey from 2010 to 2019. Twitter-based sentiment measures are created using a sentiment dictionary-based approach, applied to a filtered collection of tweets about Turkey, published from 2010 to 2019. In particular, I use only tweets that include future-oriented semantic markers and tweets that have to do with investing or doing business in Turkey. Constructed Twitter-based sentiment measures can be used to understand the sentiment dynamics and expectations polarity w.r.t investing in the Turkish market in the upcoming periods. Being based on future-oriented tweets, the proposed measures signal the degree of optimism or pessimism conveyed through Twitter. By analyzing the fluctuations of these measures over time, I show the sensitiveness of the international audience to key events occurring in Turkey and their relationship with financial market fluctuations. it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Nil Atabay (877919@stud.unive.it), 2020-07-10 it_IT
dc.provenance.plagiarycheck Carlo Romano Santagiustina (carlo.santagiustina@unive.it), 2020-07-27 it_IT


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