Cryptocurrency market responses to the fed’s quantitative easing: an in-depth TVP-VAR model analysis

Purpose The purpose of this study is to examine the response of various cryptocurrency market classes to the Federal Reserve’s quantitative easing (QE) announcements. Design/methodology/approach We used the time-varying parameter vector autoregressive model to analyze the price spillover and interconnectedness between the US market assets/indices, and cryptocurrencies, explicitly focusing on Layer 1 tokens, DeFi tokens, Exchange-Based Tokens, Smart Contracts and Stablecoins. Findings The findings reveal that most cryptocurrency classes exhibit notable price spillovers from US assets/indices. However, the analysis suggests that only high-return tokens show significant responses during the Federal Reserve QE announcements and receive price spillover. In contrast, leading tokens remain unaffected by such spillovers, which suggests that during QE periods investors tend to seek higher returns and are more likely to invest in high return assets. It reflects a preference for assets that could offer greater returns when monetary policy is easing while more stable cryptocurrencies are less impacted by policy changes, implying that investors may adjust their strategies by shifting toward high return cryptocurrencies during periods of QE to capitalize on these market movements. Research limitations/implications This study focuses on a limited selection of cryptocurrency classes and specific QE events, which may not fully capture all market dynamics or incorporate newer cryptocurrency assets due to insufficient historical data. Another key limitation of this study is the inclusion of the COVID-19 pandemic period, which represents an extraordinary macroeconomic environment that may not be representative of normal market conditions. Future research could explore a broader range of crypto assets over an extended timeframe and sub-period analysis excluding the pandemic years or incorporate regime-switching models to account for structural breaks. Practical implications Understanding the response of different cryptocurrency assets to QE announcements can significantly assist investors in making informed decisions regarding asset allocation during these periods, guiding them in identifying the most profitable cryptocurrencies as alternatives to traditional assets. Originality/value In contrast to prior research, which primarily concentrates on the impact of QE on financial markets or confines its analysis to major and prominent crypto assets, this study provides a comprehensive examination of how specific cryptocurrency classes respond to macroeconomic policy changes.

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Publication Details

Journal
Journal of Financial Regulation and Compliance
Published
2025-09-12
DOI
https://doi.org/10.1108/jfrc-12-2024-0261
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Cryptocurrency market responses to the fed’s quantitative easing: an in-depth TVP-VAR model analysis

Zakariae Bel Mkaddem, Nabil Harir, Hicham Es-Saadi, Imane Tesse et al.
Journal of Financial Regulation and Compliance
Blockchain Technology Applications and Security
article

Cryptocurrency market responses to the fed’s quantitative easing: an in-depth TVP-VAR model analysis

Zakariae Bel Mkaddem, Nabil Harir, Hicham Es-Saadi, Imane Tesse, Oumaima Bouayad
article en

Abstract

Purpose The purpose of this study is to examine the response of various cryptocurrency market classes to the Federal Reserve’s quantitative easing (QE) announcements. Design/methodology/approach We used the time-varying parameter vector autoregressive model to analyze the price spillover and interconnectedness between the US market assets/indices, and cryptocurrencies, explicitly focusing on Layer 1 tokens, DeFi tokens, Exchange-Based Tokens, Smart Contracts and Stablecoins. Findings The findings reveal that most cryptocurrency classes exhibit notable price spillovers from US assets/indices. However, the analysis suggests that only high-return tokens show significant responses during the Federal Reserve QE announcements and receive price spillover. In contrast, leading tokens remain unaffected by such spillovers, which suggests that during QE periods investors tend to seek higher returns and are more likely to invest in high return assets. It reflects a preference for assets that could offer greater returns when monetary policy is easing while more stable cryptocurrencies are less impacted by policy changes, implying that investors may adjust their strategies by shifting toward high return cryptocurrencies during periods of QE to capitalize on these market movements. Research limitations/implications This study focuses on a limited selection of cryptocurrency classes and specific QE events, which may not fully capture all market dynamics or incorporate newer cryptocurrency assets due to insufficient historical data. Another key limitation of this study is the inclusion of the COVID-19 pandemic period, which represents an extraordinary macroeconomic environment that may not be representative of normal market conditions. Future research could explore a broader range of crypto assets over an extended timeframe and sub-period analysis excluding the pandemic years or incorporate regime-switching models to account for structural breaks. Practical implications Understanding the response of different cryptocurrency assets to QE announcements can significantly assist investors in making informed decisions regarding asset allocation during these periods, guiding them in identifying the most profitable cryptocurrencies as alternatives to traditional assets. Originality/value In contrast to prior research, which primarily concentrates on the impact of QE on financial markets or confines its analysis to major and prominent crypto assets, this study provides a comprehensive examination of how specific cryptocurrency classes respond to macroeconomic policy changes.

Journal of Financial Regulation and ComplianceVol. 34(2)
Chouaib Doukkali University (MA)
Openalex Percentile: Top 61%
Blockchain Technology Applications and Security
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