Do online attention and sentiment affect cryptocurrencies' correlations?

Identifier:  imarina:9378989

Handle: https://hdl.handle.net/20.500.11797/imarina9378989

Authors:  Aslanidis, N; Bariviera, AF; Savva, CS

Abstract:
This paper adopts a versatile conditional correlation approach to explore daily seasonality in the major cryptocurrencies. Given the lack of clear fundamental value in this market and the active online profile of investors, the study also relates cryptocurrency cross-correlations to online market attention and sentiment. Our results highlight that while investor attention has a positive effect, sentiment has a much stronger negative impact on the correlations. These findings can offer interesting insights for investors and regulators, as the influence of market attention and sentiment on the correlations has important implications for portfolio diversification and market stability.