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Evidence source 6088Spot Checked

Safe havens for Bitcoin and Ethereum: evidence from high-frequency data

Financial Innovation2025-01-15Paper
Executive summary

This study uses high-frequency econometric models to examine FAANG stocks as safe havens and diversification tools for Bitcoin and Ethereum.

What it examines

The study investigates whether top U.S. tech stocks (FAANG) can act as safe havens for Bitcoin and Ethereum. Using high-frequency data, TVP-VAR models, DCC and ADCC correlations, and wavelet coherence, the paper explores diversification methods, hedging strategies, and shock spillovers in volatile cryptocurrency markets.

What it concludes

The study concludes that FAANG stocks provide moderate to strong safe-haven benefits for Bitcoin and Ethereum, aiding in risk reduction and portfolio diversification. Its findings can help investors manage risk, guide policymakers on market regulations, and encourage future research on additional cryptocurrencies and related asset classes.

Extracted from this source

Evidence objects

Evidence 698282% extraction confidence
The study redefines safe-haven, diversifier, and hedge roles using dynamic connectedness measures and proposes novel metrics for asymmetric spillovers and tail-risk behavior; limitations include narrow cryptocurrency focus and legal analysis.

key_findings bullet 3 · key_findings · validation V0

Evidence 698082% extraction confidence
High-frequency intraday data from 2018 to 2023 reveals FAANG stocks as robust safe havens for Bitcoin and Ethereum in turbulent markets; researchers used DCC, ADCC, time-varying VAR, and wavelet coherence.

key_findings bullet 1 · key_findings · validation V0

Evidence 698182% extraction confidence
During crises, such as the COVID-19 pandemic and Russia--Ukraine War, integrating FAANG stocks into cryptocurrency portfolios diversified risk; Facebook emerged as a strong safe haven, while Netflix exhibited hedge characteristics.

key_findings bullet 2 · key_findings · validation V0

Evidence 698382% extraction confidence
Employing advanced econometric techniques on high-frequency intraday data, this paper innovatively examines safe haven characteristics for Bitcoin and $Ethereum$. Extending beyond daily studies, it introduces a novel perspective that refines market behavior analysis. Its originality and approach engage both cryptocurrency and quantitative finance audiences, offering significant insights and timely relevance.

key_findings bullet 4 · key_findings · validation V0

Raw abstract and provenance

- … of and attention to Bitcoin and other major cryptocurrencies have increased recently, understanding the price mechanism, trading behavior, and their role in portfolio …

Source row: 1737 · abstract type: snippet