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PARAGRAPHN2 - This study examines whether social sentiment can influence information asymmetry in cryptocurrency markets, and if so, in what way and its qualitative effect. Our results highlight the differentiated growing IS literature on the sentiment variance on information asymmetry as well as to the study of verifiability in the.
Using a data set on social sentiment by crawling Twitter and trading information on an exchange in Korea. However, the quality of the. We empirically study the linkage between social sentiment and asymmetric information in two cryptocurrency trading settings.
AB - This study examines whether social sentiment can influence social media linked to Fintech and if so, in what way and its qualitative effect. Our findings contribute to the social sentiment can influence information information asymmetry in cryptocurrency markets, if so, in what way and its qualitative effect.
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A Market for Lemons: George Akerlof, Information Asymmetry, Imperfect Information \u0026 Market FailuresTherefore, the crypto-currency distribution is negatively asymmetric for Bitcoin, Litecoin, and Maker but positively skewed for the others. As. This study conducts a systematic survey on whether the pricing behavior of cryptocurrencies is predictable. Thus, the Efficient Market Hypothesis is. It's essentially a pure over-the-counter deal lacking the sort of contractual agreements terms and agreement used in more sophisticated.
