ML-QuantSubscribe

RePEcCrypto & DeFi

Forecasting Volatility in Crypto-Winter

The research expands the use of a volatility prediction framework using LSTM and rough volatility, demonstrating its superiority over traditional models in predicting cryptocurrency volatility.

Featured in No. 77 on 4 Dec 2024 · on release day

Released
4 Dec 2024
First featured
No. 77 · 4 Dec 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
27
Identifier
RePEc:spr:digfin:v:6:y:2024:i:4:d:10.1007_s42521-024-00108-1

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

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page