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Comparison of the asymmetric multifractal behavior of green and U.S. bonds against benchmark financial assets

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  • Werner Kristjanpoller

    (Universidad Técnica Federico Santa María)

  • Benjamin Miranda Tabak

    (Getulio Vargas Foundation (FGV/EPPG))

Abstract

Presently, financial portfolio managers lack a solid basis for building a reliable risk management strategy for green debt instrument investments due to the lack of compelling growth and resilience data. Therefore, this study assesses the role of green bonds in financial markets by assessing and correlating their complex scaling behaviors across multiple periods with those of key benchmark assets (e.g., conventional bonds, high-yield bonds, Euro-Dollar exchange, Dow Jones Industrial Index, Bitcoin, and Gold). Specifically, we explore linear and nonlinear correlation patterns using cross-correlation tests and the dynamic conditional correlation model, focusing on bond interactions under various degrees of freedom. Our analysis reveals that although most assets exhibit nonlinear correlations, Bitcoin uniquely aligns linearly with U.S. bonds under certain conditions. Green bonds, however, display nonlinear correlations with Bitcoin and stand out for their distinct upward financial persistence. We find also that green bonds are primary drivers in the financial domain, highlighted by their pronounced interactions and the consistent cross-correlation with the Euro-Dollar exchange rate. Moreover, green bonds have the lowest multifractality, showing persistent upward trends and antipersistent downward trends, rendering them quite resilient during periods of high volatility. These results imply that green bonds may be advantageous to portfolio risk management strategies, especially during crises when diversification and hedging tactics are needed.

Suggested Citation

  • Werner Kristjanpoller & Benjamin Miranda Tabak, 2025. "Comparison of the asymmetric multifractal behavior of green and U.S. bonds against benchmark financial assets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    • Handle: RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-024-00698-0
    DOI: 10.1186/s40854-024-00698-0
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    as
    1. Pham, Linh & Nguyen, Canh Phuc, 2021. "Asymmetric tail dependence between green bonds and other asset classes," Global Finance Journal, Elsevier, vol. 50(C).
    2. Shinji Kakinaka & Ken Umeno, 2021. "Exploring asymmetric multifractal cross-correlations of price-volatility and asymmetric volatility dynamics in cryptocurrency markets," Papers 2102.02865, arXiv.org, revised Jun 2021.
    3. Chen, Yuwen & Zheng, Tingting, 2017. "Asymmetric joint multifractal analysis in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 10-19.
    4. Kakinaka, Shinji & Umeno, Ken, 2022. "Cryptocurrency market efficiency in short- and long-term horizons during COVID-19: An asymmetric multifractal analysis approach," Finance Research Letters, Elsevier, vol. 46(PA).
    5. Guo, Dong & Zhou, Peng, 2021. "Green bonds as hedging assets before and after COVID: A comparative study between the US and China," Energy Economics, Elsevier, vol. 104(C).
    6. Apergis, Nicholas, 2023. "The connectedness between green and conventional bond yields during the COVID-19 crisis: The role of the vaccination process," Economics Letters, Elsevier, vol. 224(C).
    7. Alvarez-Ramirez, Jose & Rodriguez, Eduardo & Carlos Echeverria, Juan, 2009. "A DFA approach for assessing asymmetric correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2263-2270.
    8. Azhgaliyeva, Dina & Kapsalyamova, Zhanna & Mishra, Ranjeeta, 2022. "Oil price shocks and green bonds: An empirical evidence," Energy Economics, Elsevier, vol. 112(C).
    9. Kristjanpoller, Werner & Bouri, Elie, 2019. "Asymmetric multifractal cross-correlations between the main world currencies and the main cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1057-1071.
    10. Khan, Khalid & Su, Chi-Wei & Khurshid, Adnan & Umar, Muhammad, 2022. "COVID-19 impact on multifractality of energy prices: Asymmetric multifractality analysis," Energy, Elsevier, vol. 256(C).
    11. Werner Kristjanpoller & Leonardo H. S. Fernandes & Benjamin M. Tabak, 2022. "Examining The Fractal Market Hypothesis Considering Daily And High Frequency For Cryptocurrency Assets," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(03), pages 1-20, May.
    12. Su, Tong & Zhang, Zuopeng (Justin) & Lin, Boqiang, 2022. "Green bonds and conventional financial markets in China: A tale of three transmission modes," Energy Economics, Elsevier, vol. 113(C).
    13. Yousaf, Imran & Suleman, Muhammad Tahir & Demirer, Riza, 2022. "Green investments: A luxury good or a financial necessity?," Energy Economics, Elsevier, vol. 105(C).
    14. Nguyen, Thi Thu Ha & Naeem, Muhammad Abubakr & Balli, Faruk & Balli, Hatice Ozer & Vo, Xuan Vinh, 2021. "Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds," Finance Research Letters, Elsevier, vol. 40(C).
    15. Sheenan, Lisa, 2023. "Green bonds, conventional bonds and geopolitical risk," Finance Research Letters, Elsevier, vol. 58(PC).
    16. Yao, Can-Zhong & Mo, Yi-Na & Zhang, Ze-Kun, 2021. "A study of the efficiency of the Chinese clean energy stock market and its correlation with the crude oil market based on an asymmetric multifractal scaling behavior analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    17. Walid Mensi & Mobeen Ur Rehman & Muhammad Shafullah & Khamis Hamed Al‑Yahyaee & Ahmet Sensoy, 2021. "Correction to: High frequency multiscale relationships among major cryptocurrencies: portfolio management implications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-1, December.
    18. Pham, Linh & Do, Hung Xuan, 2022. "Green bonds and implied volatilities: Dynamic causality, spillovers, and implications for portfolio management," Energy Economics, Elsevier, vol. 112(C).
    19. Reboredo, Juan C. & Ugolini, Andrea & Aiube, Fernando Antonio Lucena, 2020. "Network connectedness of green bonds and asset classes," Energy Economics, Elsevier, vol. 86(C).
    20. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    21. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Alam, Masud & Abedin, Mohammad Zoynul & Shi, Baofeng, 2023. "NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
    22. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A. & Tabak, Benjamin M., 2023. "Multifractal cross-correlations between green bonds and financial assets," Finance Research Letters, Elsevier, vol. 53(C).
    23. Ye, Xiang & Rasoulinezhad, Ehsan, 2023. "Assessment of impacts of green bonds on renewable energy utilization efficiency," Renewable Energy, Elsevier, vol. 202(C), pages 626-633.
    24. Zhuang, Xiaoyang & Wei, Dan, 2022. "Asymmetric multifractality, comparative efficiency analysis of green finance markets: A dynamic study by index-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    25. Walid Mensi & Mobeen Ur Rehman & Muhammad Shafiullah & Khamis Hamed Al-Yahyaee & Ahmet Sensoy, 2021. "High frequency multiscale relationships among major cryptocurrencies: portfolio management implications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
    26. Chang, Lei & Moldir, Mukan & Zhang, Yuan & Nazar, Raima, 2023. "Asymmetric impact of green bonds on energy efficiency: Fresh evidence from quantile estimation," Utilities Policy, Elsevier, vol. 80(C).
    27. B. Podobnik & I. Grosse & D. Horvatić & S. Ilic & P. Ch. Ivanov & H. E. Stanley, 2009. "Quantifying cross-correlations using local and global detrending approaches," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(2), pages 243-250, September.
    28. Su, Yun Hsuan & Rizvi, Syed Kumail Abbas & Umar, Muhammad & Chang, Hsuling, 2023. "Unveiling the relationship between oil and green bonds: Spillover dynamics and implications," Energy Economics, Elsevier, vol. 127(PA).
    29. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    30. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    31. Naeem, Muhammad Abubakr & Yousaf, Imran & Karim, Sitara & Tiwari, Aviral Kumar & Farid, Saqib, 2023. "Comparing asymmetric price efficiency in regional ESG markets before and during COVID-19," Economic Modelling, Elsevier, vol. 118(C).
    32. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    33. Chang, Lei & Taghizadeh-Hesary, Farhad & Chen, Huangen & Mohsin, Muhammad, 2022. "Do green bonds have environmental benefits?," Energy Economics, Elsevier, vol. 115(C).
    34. A. Gómez-Águila & J. E. Trinidad-Segovia & M. A. Sánchez-Granero, 2022. "Improvement in Hurst exponent estimation and its application to financial markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
    35. Wei-Xing Zhou, 2008. "Multifractal detrended cross-correlation analysis for two nonstationary signals," Papers 0803.2773, arXiv.org.
    36. Doğan, Buhari & Trabelsi, Nader & Tiwari, Aviral Kumar & Ghosh, Sudeshna, 2023. "Dynamic dependence and causality between crude oil, green bonds, commodities, geopolitical risks, and policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 36-62.
    37. Ren, Boru & Lucey, Brian & Luo, Qirui, 2023. "An examination of green bonds as a hedge and safe haven for international equity markets," Global Finance Journal, Elsevier, vol. 58(C).
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