Title: | Does Twitter happiness sentiment predict cryptocurrency? |
Author(s): | Naeem M.A. |
Keywords: | Cryptocurrencies; lInear and nonlinear Granger causality; Quantile-on-quantile; Twitter Happiness Sentiment |
Abstract: | We examine the predictive ability of Twitter Happiness Sentiment for six major cryptocurrencies using daily data from August 7, 2015 to December 31, 2019. At first instance, our results conclude a significant nonlinear relationship between Twitter Happiness Sentiment and cryptocurrencies. The nonlinear dependence structure is further enhanced when using the quantile-on-quantile (QQ) analysis, which indicates that high and low sentiment predicts returns of five cryptocurrencies. These findings are statistically and economically significant. |
Issue Date: | 2020 |
Publisher: | Wiley-Blackwell |
URI: | http://digital.lib.ueh.edu.vn/handle/UEH/61736 |
DOI: | https://doi.org/10.1111/irfi.12339 |
ISSN: | 1369412X |
Appears in Collections: | INTERNATIONAL PUBLICATIONS
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