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Quantile-time-frequency risk spillover between investor attention, clean, and dirty cryptocurrency returns

Author

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  • Fatma Ben Hamadou

    (Sfax University)

  • Taicir Mezghani

    (Sfax University)

  • Mouna Boujelbène Abbes

    (Sfax University)

Abstract

This study investigates the connectedness between investor attention and the returns of dirty (Bitcoin and Ethereum) and clean (Cardano and Ripple) cryptocurrencies, analyzing how this relationship evolves under different market conditions and time horizons. Employing data from January 1, 2018, to July 15, 2024, the research captures significant market events, such as the COVID-19 pandemic and the geopolitical tensions from the Russia–Ukraine War, to analyze the evolving dynamics in the cryptocurrency market. A novel investor attention proxy, based on Google Trends data, is developed to gage the collective interest in cryptocurrencies. The analysis employs a time frequency and quantile vector autoregression (QVAR) framework to explore return spillovers between dirty and clean cryptocurrencies and investor attention under different market conditions (bearish, normal, and bullish). The study reveals strong connectedness between cryptocurrencies, clean and dirty cryptocurrencies, across all market states in the short run. However, investor attention shows limited direct impact on cryptocurrency returns in the short term but gains influence in the long run, where it becomes a dominant net transmitter of shocks. The Total Connectedness Index (TCI) highlights varying degrees of interconnectedness, with heightened spillover effects during bearish market conditions. In the long run, while cryptocurrencies transition to being net receivers of shocks, investor attention increasingly drives market dynamics. Robustness checks using a cryptocurrency liquidity measure demonstrate that structural breaks in liquidity risks significantly affect the transmission of shocks across the cryptocurrency market. These findings underscore the complexity of the cryptocurrency market, where investor attention plays an increasingly critical role, particularly in times of market stress. Our findings provide valuable insights into the dynamic connectedness of investor attention and its profound impact on the connectedness among cryptocurrency returns. By highlighting the varying roles of different cryptocurrencies under distinct market conditions, our study enhances our understanding of the underlying mechanisms governing risk transmission in the cryptocurrency market.

Suggested Citation

  • Fatma Ben Hamadou & Taicir Mezghani & Mouna Boujelbène Abbes, 2025. "Quantile-time-frequency risk spillover between investor attention, clean, and dirty cryptocurrency returns," Risk Management, Palgrave Macmillan, vol. 27(3), pages 1-28, September.
    • Handle: RePEc:pal:risman:v:27:y:2025:i:3:d:10.1057_s41283-025-00162-y
    DOI: 10.1057/s41283-025-00162-y
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    1. Chatziantoniou, Ioannis & Gabauer, David, 2021. "EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 1-14.
    2. Kamal, Javed Bin & Hassan, M. Kabir, 2022. "Asymmetric connectedness between cryptocurrency environment attention index and green assets," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    3. Taicir Mezghani & Fatma Ben Hamadou & Mouna Boujelbène & Souha Boutouria, 2024. "Do Green Bonds Affect Extreme Spillover and Hedging Effects Across Stocks and Commodities?," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 31(2), pages 103-130, May.
    4. Wen, Fenghua & Cao, Jiahui & Liu, Zhen & Wang, Xiong, 2021. "Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
    5. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    6. Gunay, Samet & Goodell, John W. & Muhammed, Shahnawaz & Kirimhan, Destan, 2023. "Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment," International Review of Financial Analysis, Elsevier, vol. 90(C).
    7. Ben R. Marshall & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2012. "Commodity Liquidity Measurement and Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 25(2), pages 599-638.
    8. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    9. Li, Yue & Goodell, John W. & Shen, Dehua, 2021. "Comparing search-engine and social-media attentions in finance research: Evidence from cryptocurrencies," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 723-746.
    10. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    11. Tong, Zezheng & Goodell, John W. & Shen, Dehua, 2022. "Assessing causal relationships between cryptocurrencies and investor attention: New results from transfer entropy methodology," Finance Research Letters, Elsevier, vol. 50(C).
    12. Xianfang Su & Wenqiang Zhan & Yong Li, 2021. "Quantile dependence between investor attention and cryptocurrency returns: evidence from time and frequency domain analyses," Applied Economics, Taylor & Francis Journals, vol. 53(55), pages 6439-6471, November.
    13. Max J. Krause & Thabet Tolaymat, 2018. "Author Correction: Quantification of energy and carbon costs for mining cryptocurrencies," Nature Sustainability, Nature, vol. 1(12), pages 814-814, December.
    14. Aggarwal, Divya & Chandrasekaran, Shabana & Annamalai, Balamurugan, 2020. "A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    15. Kamara, Avraham & Lou, Xiaoxia & Sadka, Ronnie, 2008. "The divergence of liquidity commonality in the cross-section of stocks," Journal of Financial Economics, Elsevier, vol. 89(3), pages 444-466, September.
    16. Max J. Krause & Thabet Tolaymat, 2018. "Quantification of energy and carbon costs for mining cryptocurrencies," Nature Sustainability, Nature, vol. 1(11), pages 711-718, November.
    17. Li, Yi & Lucey, Brian & Urquhart, Andrew, 2023. "Can altcoins act as hedges or safe-havens for Bitcoin?," Finance Research Letters, Elsevier, vol. 52(C).
    18. Chen, An-Sing & Nguyen, Huong Thi, 2024. "A new perspective on how investor sentiment affects herding behavior in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 67(PA).
    19. Abhinava Tripathi & Alok Dixit & Vipul, 2022. "Liquidity commonality in the cryptocurrency market," Applied Economics, Taylor & Francis Journals, vol. 54(15), pages 1727-1741, March.
    20. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    21. Korajczyk, Robert A. & Sadka, Ronnie, 2008. "Pricing the commonality across alternative measures of liquidity," Journal of Financial Economics, Elsevier, vol. 87(1), pages 45-72, January.
    22. Hyeon-Woo Kang & Hang-Bong Kang, 2017. "Prediction of crime occurrence from multi-modal data using deep learning," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-19, April.
    23. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    24. Khalfaoui, Rabeh & Gozgor, Giray & Goodell, John W., 2023. "Impact of Russia-Ukraine war attention on cryptocurrency: Evidence from quantile dependence analysis," Finance Research Letters, Elsevier, vol. 52(C).
    25. Gurdgiev, Constantin & O’Loughlin, Daniel, 2020. "Herding and anchoring in cryptocurrency markets: Investor reaction to fear and uncertainty," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    26. Yousra Trichilli & Mouna Abdelhédi & Mouna Boujelbène Abbes, 2018. "Googling Investor’s Sentiment: Powerful Measure in Conventional and Islamic MENA Financial Markets," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 454-469, July.
    27. Taicir Mezghani & Mouna Boujelbène Abbes, 2023. "Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 505-530, September.
    28. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    29. Mi Yeon Hong & Ji Won Yoon, 2022. "The impact of COVID-19 on cryptocurrency markets: A network analysis based on mutual information," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-24, February.
    30. Panpan Zhu & Xing Zhang & You Wu & Hao Zheng & Yinpeng Zhang, 2021. "Investor attention and cryptocurrency: Evidence from the Bitcoin market," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-28, February.
    31. Paulo Ferreira & Éder Pereira, 2019. "Contagion Effect in Cryptocurrency Market," JRFM, MDPI, vol. 12(3), pages 1-8, July.
    32. Pham, Linh & Karim, Sitara & Naeem, Muhammad Abubakr & Long, Cheng, 2022. "A tale of two tails among carbon prices, green and non-green cryptocurrencies," International Review of Financial Analysis, Elsevier, vol. 82(C).
    33. Katsiampa, Paraskevi & Corbet, Shaen & Lucey, Brian, 2019. "High frequency volatility co-movements in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 35-52.
    34. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    35. Reboredo, Juan C. & Ugolini, Andrea, 2016. "Quantile dependence of oil price movements and stock returns," Energy Economics, Elsevier, vol. 54(C), pages 33-49.
    36. Xun Zhang & Fengbin Lu & Rui Tao & Shouyang Wang, 2021. "The time-varying causal relationship between the Bitcoin market and internet attention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    37. Naeem, Muhammad Abubakr & Karim, Sitara, 2021. "Tail dependence between bitcoin and green financial assets," Economics Letters, Elsevier, vol. 208(C).
    38. Shouyu Yao & Ahmet Sensoy & Duc Khuong Nguyen & Tong Li, 2024. "Investor attention and cryptocurrency market liquidity: a double-edged sword," Annals of Operations Research, Springer, vol. 334(1), pages 815-856, March.
    39. Ren, Boru & Lucey, Brian, 2022. "A clean, green haven?—Examining the relationship between clean energy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 109(C).
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