Cryptocurrency price returns volatility modeling and forecasting with GARCH models

PurposeThe paper aims to identify suitable conditional variance models for the estimation and forecasting of cryptocurrency returns volatility.Design/methodology/approachThe methodology comprises the use of GARCH-family models estimated by maximum likelihood considering different scedastic functions...

詳細記述

書誌詳細
出版年:RAUSP Management Journal
主要な著者: Lukas Silva, Leandro Maciel
フォーマット: 論文
言語:英語
出版事項: Emerald Publishing 2025-09-01
主題:
オンライン・アクセス:https://www.emerald.com/rausp/article-pdf/60/1/220/10141913/rausp-04-2023-0056en.pdf