Cross-border interactions of cryptocurrency prices and news sentiment: prices as the primary driver
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초록

This paper explores the cross-border relationship between cryptocurrency prices and news sentiment by examining the Korean and global markets. We employ ChatGPT to assess sentiment in over half a million news articles from 1 December 2017 to 28 August 2023. Our findings reveal that changes in cryptocurrency prices largely drive news sentiment rather than the reverse in the global market, which differs from patterns in traditional assets and social media-driven sentiment studies. Furthermore, only Korean news sentiment predicts cryptocurrency returns in both the Korean and global markets, a predictive power that vanishes when trading volume in Korean won surpasses that in U.S. dollars. During such periods, arbitrage by Korean traders synchronizes prices between the global and Korean markets, eliminating the lead-lag relationship between sentiment and prices.

키워드

Cryptocurrencysentimentlarge language modelcross-country forecastabilityG12G14G17G41INVESTOR SENTIMENTMOODRISKPATTERNSBEHAVIOR
제목
Cross-border interactions of cryptocurrency prices and news sentiment: prices as the primary driver
저자
Kang, RyeomyungHwang, SoosungShin, JinhoYoo, Yeeun
DOI
10.1080/1351847X.2026.2652365
발행일
2026-04-07
유형
Article; Early Access
저널명
European Journal of Finance