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SSRNCrypto & DeFi

Predicting Crypto Contagion: Machine Learning Forecasts of Return Spillovers

The study forecasts time-varying return spillovers among cryptocurrencies using machine learning, finding monetary policy and funding rates drive connectedness and classifying events that shift spillover composition into contagion types.

Featured in No. 134 on 9 Oct 2026 · 2 days after release

Released
7 Oct 2026
First featured
No. 134 · 9 Oct 2026
Published in
Not yet, as far as Semantic Scholar knows
Fanfare
3 of 5
Identifier
SSRN 7578304
Authors
Eric Osmer et al.

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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