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Bitcoin ETFs and structural decoupling in the cryptocurrency market: evidence from altcoin correlation dynamics

  • Yuxuan Li
  • , Yuqin Zhou
  • , Jun Huang*
  • , Lin Xie
  • , Hancheng Huang*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

The approval of U.S.-based spot Bitcoin Exchange-Traded Funds (ETFs) in January 2024 marked a key milestone in the institutionalization of digital assets. This study examines how ETF introduction reshaped inter-asset dynamics in the cryptocurrency market. Using daily returns from January 2021 to September 2025 for Bitcoin and 18 major altcoins, we apply a Long Short-Term Memory (LSTM) neural network to capture evolving return correlations. Our analysis reveals a pronounced post-ETF decline in correlations across both short-term (6-month) and long-term (12-month) rolling windows. We interpret this structural decoupling as the effect of ‘independent inflows’, whereby institutional capital enters Bitcoin without proportionate investment in altcoins. The findings suggest that Bitcoin is evolving into a distinct, standalone asset class with weaker integration in the broader cryptocurrency market. Policy and investment implications include reconsidering portfolio diversification strategies, reassessing systemic risk, and designing digital asset financial instruments to account for market segmentation and institutional flows.

Original languageEnglish
Article number2625541
Number of pages8
JournalCogent Economics and Finance
Volume14
Issue number1
Early online date9 Feb 2026
DOIs
Publication statusE-pub ahead of print - 9 Feb 2026

User-Defined Keywords

  • asset decoupling
  • Bitcoin ETF
  • capital flows
  • correlation dynamics
  • Cryptocurrency markets
  • deep learning
  • LSTM modeling

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