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COVID-19 PANDEMİ SÜRECİNDE TWİTTER YORUMLARI İLE ALTCOIN KRİPTO PARA PİYASASI ARASINDAKİ NEDENSELLİĞİN DUYGU ANALİZİ İLE İNCELENMESİ: RİPPLE ÖRNEĞİ
2021
Journal:  
Journal of Management and Economics Research
Author:  
Abstract:

Covid-19 pandemisinin dünya genelinde sağlık, eğitim gibi alanlarda olduğu gibi ekonomi alanındaki etkisi de oldukça büyüktür. Salgınla mücadele kapsamında uygulanan kapanma süreçleri ve çalışma saatlerindeki değişiklikler, bireylerin ekonomik durumlarında bozulmalara yol açmış ve bunun bir sonucu olarak, sosyal medyanın da etkisiyle çeşitli yatırım araçlarına gösterilen ilgi artmıştır. Bu yatırım araçlarından birisi de, kripto paralar olmuştur. Çalışmada, Twitter kullanıcılarının Ripple hakkında paylaştıkları Türkçe tweetler ile Ripple’ın gün sonu fiyatı arasındaki nedensellik, Covid-19 pandemi sürecinde duygu analizi ve nedensellik testiyle incelenmiştir. Duygu analizi sonucunda elde edilen duygu skorları ile aynı tarihlerdeki Ripple’a ait gün sonu kapanış fiyatları arasında pozitif yönlü %21’lik bir korelasyon elde edilmiştir. Sonrasında, ilgilenilen değişkenlerin aynı düzeylerde durağan olmamalarından dolayı Toda-Yamamoto nedensellik testi uygulanmış ve tek yönlü bir nedensellik bulunmuştur. Analizler sonucunda #xrp etiketi ile paylaşılan Türkçe tweetlerin, Ripple’ın fiyatları üzerinde etkisi olduğu istatistiksel olarak ortaya konmuş; ancak fiyatların Türkçe Twitter yorumlarını etkilediğine dair yeterince bir kanıt bulunamamıştır.

Keywords:

COVID-19 PANDEMİ SÜRECİNDE TWİTTER YORUMLARI İLE ALTCOIN KRİPTO PARA PİYASASI ARASINDAKİ NEDENSELLİĞİN DUYGU ANALİZİ İLE İNCELENMESİ: RİPPLE ÖRNEĞİ
2021
Author:  
Abstract:

The impact of the Covid-19 pandemic on the economy in the world, as well as in areas such as health and education, is quite large. The closing processes and changes in working hours implemented in the context of the fight against disruption have led to disruptions in the economic situation of individuals and, as a result, increased interest in various investment instruments by the influence of social media. One of these investments was cryptocurrencies. In the study, the cause between the Turkish tweets that Twitter users share about Ripple and Ripple's day-to-day price was studied by emotion analysis and causality test during the Covid-19 pandemic process. A positive correlation of 21% was achieved between the emotional scores obtained by the emotional analysis and the day-to-day closing prices of Ripple at the same dates. After that, the Toda-Yamamoto causality test was applied and a one-way causality was found because the variables concerned were not stable at the same levels. The results of the analysis have statistically revealed that Turkish tweets shared with the #xrp label have an impact on the prices of Ripple, but there is no sufficient evidence that the prices have an impact on Turkish Twitter comments.

Investigation Of The Causality Between Twitter Comments and Altcoin Cryptocurrency Market By Sentiment Analysis During The Covid-19 Pandemic: Ripple Example
2021
Author:  
Abstract:

The impact of the Covid-19 pandemic on the economy, like health and education, is also quite large worldwide. The quarantines and changes in working hours implemented within the scope of the fight against the pandemic led to deterioration in the economic situation of individuals. Along with these deteriorations, the interest in various investment instruments has increased with the effect of social media. One of these investment tools is cryptocurrencies. In this context, the causality between Twitter users' Turkish tweets about Ripple and Ripple's end-of-day closing price was examined by sentiment analysis and causality test during the Covid-19 pandemic era. A positive 21% correlation was obtained between the sentiment scores obtained as a result of sentiment analysis and the end-of-day closing price of Ripple on the same dates. Afterward, because the variables were not stationary at the same levels, the Toda-Yamamoto causality test was applied and a one-way causality was found. As a result of the analysis, it was statistically revealed that Turkish tweets shared with the #xrp hashtag had an effect on Ripple's prices, however, there was not enough evidence that prices affect Turkish Twitter comments.

Keywords:

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Journal of Management and Economics Research

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

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Journal of Management and Economics Research