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Informational Content of Exchange Flows in Cryptocurrency Markets

Authors
Bae, KyounghunKang, Hyoung GooKim, JaehyunKoo, Bonha
Issue Date
Jun-2020
Publisher
한국자료분석학회
Keywords
Bitcoin; Ethereum; crypto-exchange; cryptocurrency; fund flows
Citation
Journal of The Korean Data Analysis Society, v.22, no.3, pp.937 - 949
Indexed
KCI
Journal Title
Journal of The Korean Data Analysis Society
Volume
22
Number
3
Start Page
937
End Page
949
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/9722
DOI
10.37727/jkdas.2020.22.3.937
ISSN
1229-2354
Abstract
How predictable are the prices and liquidities of cryptocurrencies listed at different exchanges? We analyze price, trading volume, and in-and-out flows of Bitcoin and Ethereum at multiple crypto-exchanges using cross-sectional analysis. We examine the intraday data at hourly intervals from January 1st, 2018 to September 30th, 2019. The results show that returns, trading volumes, and net flows in different crypto-exchanges predict each other significantly. In particular, the movement in big exchanges presents a disproportionately large predictive impact on the movement in other markets. Therefore, inefficiencies are prevalent in crypto-markets, and the cross-sectional analysis for exchanges is essential for traders in the market.
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