Asymmetric dynamics between global uncertainty and cryptocurrencies: evidence from quantile-on-quantile analysis

Purpose This study aims to provide a comprehensive examination of the nonlinear and asymmetric relationships between global uncertainty indicators, namely, gold (GOLD), the US Dollar Index (DXY) and the Volatility Index (VIX), and major cryptocurrencies, including Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), Cardano (ADA) and Binance Coin (BNB). It particularly focuses on how these dynamics evolve across different market conditions and the extent to which certain cryptocurrencies function as alternative safe-haven assets. Design/methodology/approach The analysis uses weekly data from January 2018 to June 2025, covering five major cryptocurrencies (BTC, ETH, XRP, ADA and BNB). To capture the dynamic and nonlinear relationships between global uncertainty indicators and cryptocurrency markets, the Quantile-on-Quantile Regression (QQR) approach is applied. Furthermore, the Quantile-on-Quantile Kernel-Based Regularized Least Squares (QQKRLS) technique is used as a robustness check to validate the findings. Findings The results demonstrate that the relationship between global uncertainty indicators and cryptocurrencies is neither linear, stationary nor unidirectional. Instead, it exhibits complex and asymmetric interactions that vary across quantiles and market conditions. Significant and predominantly inverse relationships are identified between the DXY, the VIX and cryptocurrencies, particularly at lower (0.05–0.30) and higher (0.70+) quantile levels. These findings suggest that investor behavior is influenced not only by economic fundamentals but also by uncertainty, market dynamics and risk perceptions. Originality/value This study is the first to apply QQR and QQKRLS methods to analyze the nonlinear and asymmetric linkages between global uncertainty indicators and major cryptocurrencies. It provides novel evidence on how these relationships shift across market conditions, offering fresh insights into the potential safe-haven role of cryptocurrencies.

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Publication Details

Journal
Journal of Modelling in Management
Published
2026-02-10
DOI
https://doi.org/10.1108/jm2-08-2025-0439
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
99.81
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article

Asymmetric dynamics between global uncertainty and cryptocurrencies: evidence from quantile-on-quantile analysis

Necati Altemur, İbrahim Halil Ekşi̇, Rizky Yudaruddin
1 citations
Journal of Modelling in Management
Market Dynamics and Volatility
99.81
article

Asymmetric dynamics between global uncertainty and cryptocurrencies: evidence from quantile-on-quantile analysis

Necati Altemur, İbrahim Halil Ekşi̇, Rizky Yudaruddin
article en
1 citations

Abstract

Purpose This study aims to provide a comprehensive examination of the nonlinear and asymmetric relationships between global uncertainty indicators, namely, gold (GOLD), the US Dollar Index (DXY) and the Volatility Index (VIX), and major cryptocurrencies, including Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), Cardano (ADA) and Binance Coin (BNB). It particularly focuses on how these dynamics evolve across different market conditions and the extent to which certain cryptocurrencies function as alternative safe-haven assets. Design/methodology/approach The analysis uses weekly data from January 2018 to June 2025, covering five major cryptocurrencies (BTC, ETH, XRP, ADA and BNB). To capture the dynamic and nonlinear relationships between global uncertainty indicators and cryptocurrency markets, the Quantile-on-Quantile Regression (QQR) approach is applied. Furthermore, the Quantile-on-Quantile Kernel-Based Regularized Least Squares (QQKRLS) technique is used as a robustness check to validate the findings. Findings The results demonstrate that the relationship between global uncertainty indicators and cryptocurrencies is neither linear, stationary nor unidirectional. Instead, it exhibits complex and asymmetric interactions that vary across quantiles and market conditions. Significant and predominantly inverse relationships are identified between the DXY, the VIX and cryptocurrencies, particularly at lower (0.05–0.30) and higher (0.70+) quantile levels. These findings suggest that investor behavior is influenced not only by economic fundamentals but also by uncertainty, market dynamics and risk perceptions. Originality/value This study is the first to apply QQR and QQKRLS methods to analyze the nonlinear and asymmetric linkages between global uncertainty indicators and major cryptocurrencies. It provides novel evidence on how these relationships shift across market conditions, offering fresh insights into the potential safe-haven role of cryptocurrencies.

Journal of Modelling in Management
Giresun University (TR), Mulawarman University (ID), Gaziantep University (TR)
Decent work and economic growth
Openalex Percentile: Top 0%
Market Dynamics and Volatility
99.81
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