کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7352215 1476981 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Twitter's daily happiness sentiment and the predictability of stock returns
ترجمه فارسی عنوان
احساسات شادی روزانه توییتر و پیش بینی سود سهام
موضوعات مرتبط
علوم انسانی و اجتماعی اقتصاد، اقتصادسنجی و امور مالی اقتصاد و اقتصادسنجی
چکیده انگلیسی
Using a novel investor sentiment proxy extracted from Twitter, this paper investigates whether investor sentiment as expressed in daily happiness has predictive power for stock returns in 10 international stock markets. To account for complex relationships between sentiment and stock returns, a Granger non-causality test in quantiles is used. Our empirical results indicate that the causal relations vary across different quantiles. We observe that the causal relationship from happiness sentiment to stock returns exist only in high quantiles interval. The causal relationship from stock returns to happiness sentiment exists only in the tail area.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Finance Research Letters - Volume 23, November 2017, Pages 58-64
نویسندگان
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