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Dynamics of green and conventional bond markets: Evidence from the generalized chaos analysis

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  • Vogl, Markus
  • Kojić, Milena
  • Mitić, Petar

Abstract

In this study, we conduct a comparative analysis of the nonlinear dynamics of the time series data for green and conventional bond indices spanning the period from 2014 to 2023. Our research builds upon the existing limited studies conducted in this domain. To examine the inherent characteristics of the empirical data-generating process, we utilize a generalized chaos analysis framework. The findings indicate that both series exhibit a combination of quasi-periodic cycles and deterministic (chaotic) dynamics. Additionally, we employ reconstruction techniques to visualize the strange (fractal) system attractors for both series. Furthermore, we quantify and compare the dynamics that emerge from the data by employing recurrence quantification analysis and multifractal analysis with power-law distributional coherence tests. Consequently, we identify that both bond series exhibit multifractal characteristics. Finally, we conduct a comparative analysis of the distinct dynamical differences observed between the bond index series. Based on our results, we draw concluding remarks regarding the future evolution of the green bond market and discuss the potential implications of our findings in the context of climate change.

Suggested Citation

  • Vogl, Markus & Kojić, Milena & Mitić, Petar, 2024. "Dynamics of green and conventional bond markets: Evidence from the generalized chaos analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    • Handle: RePEc:eee:phsmap:v:633:y:2024:i:c:s0378437123009524
    DOI: 10.1016/j.physa.2023.129397
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    as
    1. Elsayed, Ahmed H. & Naifar, Nader & Nasreen, Samia & Tiwari, Aviral Kumar, 2022. "Dependence structure and dynamic connectedness between green bonds and financial markets: Fresh insights from time-frequency analysis before and during COVID-19 pandemic," Energy Economics, Elsevier, vol. 107(C).
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Jaros{l}aw Kwapie'n & Pawel Blasiak & Stanis{l}aw Dro.zd.z & Pawe{l} O'swik{e}cimka, 2022. "Genuine multifractality in time series is due to temporal correlations," Papers 2211.00728, arXiv.org, revised Mar 2023.
    4. Ramsey, James B & Sayers, Chera L & Rothman, Philip, 1990. "The Statistical Properties of Dimension Calculations Using Small Data Sets: Some Economic Applications," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(4), pages 991-1020, November.
    5. Naeem, Muhammad Abubakr & Farid, Saqib & Ferrer, Román & Shahzad, Syed Jawad Hussain, 2021. "Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis," Energy Policy, Elsevier, vol. 153(C).
    6. Jeff Alstott & Ed Bullmore & Dietmar Plenz, 2014. "powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    7. Xiaohua Song & Dongxiao Niu & Yulin Zhang, 2016. "The Chaotic Attractor Analysis of DJIA Based on Manifold Embedding and Laplacian Eigenmaps," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, June.
    8. Chen, Yun & Yang, Hui, 2012. "Multiscale recurrence analysis of long-term nonlinear and nonstationary time series," Chaos, Solitons & Fractals, Elsevier, vol. 45(7), pages 978-987.
    9. Rong J. B. Zhu, 2023. "Synthetic Regressing Control Method," Papers 2306.02584, arXiv.org, revised Oct 2023.
    10. Reboredo, Juan C. & Ugolini, Andrea & Aiube, Fernando Antonio Lucena, 2020. "Network connectedness of green bonds and asset classes," Energy Economics, Elsevier, vol. 86(C).
    11. 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).
    12. 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).
    13. Saeed Moshiri & Faezeh Foroutan, 2006. "Forecasting Nonlinear Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 81-96.
    14. Kanamura, Takashi, 2020. "Are green bonds environmentally friendly and good performing assets?," Energy Economics, Elsevier, vol. 88(C).
    15. Park, Joon Y. & Whang, Yoon-Jae, 2012. "Random walk or chaos: A formal test on the Lyapunov exponent," Journal of Econometrics, Elsevier, vol. 169(1), pages 61-74.
    16. Giuseppe Cortellini & Ida Claudia Panetta, 2021. "Green Bond: A Systematic Literature Review for Future Research Agendas," JRFM, MDPI, vol. 14(12), pages 1-29, December.
    17. MacKinnon, James G, 1994. "Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 167-176, April.
    18. Bryan Denov & Syarif Hidayat & Suwarno & Reynaldo Zoro, 2023. "A Method to Obtain Lightning Peak Current in Indonesia," Energies, MDPI, vol. 16(17), pages 1-23, September.
    19. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    20. Altan, Aytaç & Karasu, Seçkin & Bekiros, Stelios, 2019. "Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 325-336.
    21. Jiang, Yonghong & Wang, Jieru & Ao, Zhiming & Wang, Yujou, 2022. "The relationship between green bonds and conventional financial markets: Evidence from quantile-on-quantile and quantile coherence approaches," Economic Modelling, Elsevier, vol. 116(C).
    22. Opong, Kwaku K. & Mulholland, Gwyneth & Fox, Alan F. & Farahmand, Kambiz, 1999. "The behaviour of some UK equity indices: An application of Hurst and BDS tests1," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 267-282, September.
    23. Xianchao Wang & Shaoyi Li & Changhui Hou & Guoming Zhang & Ganesh Ghorai, 2023. "Minimum Spanning Tree Method for Sparse Graphs," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-6, February.
    24. ., 2023. "Patterns, methods and algorithms for decision-making," Chapters, in: Decisions, Preferences, and Heuristics, chapter 5, pages 152-229, Edward Elgar Publishing.
    25. Sheila Dow, 2023. "Political Economy as a Methodological Approach," Review of Political Economy, Taylor & Francis Journals, vol. 35(1), pages 98-110, January.
    26. Adrangi, Bahram & Chatrath, Arjun & Dhanda, Kanwalroop Kathy & Raffiee, Kambiz, 2001. "Chaos in oil prices? Evidence from futures markets," Energy Economics, Elsevier, vol. 23(4), pages 405-425, July.
    27. Wenping Zhang & Yiming Wang & Po Xu & Donghui Li & Baosong Liu, 2023. "A Current Control Method for Grid-Connected Inverters," Energies, MDPI, vol. 16(18), pages 1-17, September.
    28. Vogl, Markus, 2022. "Controversy in financial chaos research and nonlinear dynamics: A short literature review," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    29. Robert M. Davison & Barney Tan & Louie H.M. Wong & Evelyn Ng, 2023. "Teaching qualitative research methods," Chapters, in: Robert M. Davison (ed.), Handbook of Qualitative Research Methods for Information Systems, chapter 2, pages 10-29, Edward Elgar Publishing.
    30. ., 2023. "Methods for measuring the size of the informal economy," Chapters, in: A Modern Guide to the Informal Economy, chapter 3, pages 53-64, Edward Elgar Publishing.
    31. Andreia Cardoso de Souza & Francisca E. L. Barbosa & Simone F. Diniz & Jose F. Sobrinho & Cleire L. da C. Falcao, 2023. "Methodology for Understanding Soil Erosion," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 15(4), pages 1-43, May.
    32. Inzamam Ul Haq & Apichit Maneengam & Supat Chupradit & Chunhui Huo, 2023. "Are green bonds and sustainable cryptocurrencies truly sustainable? Evidence from a wavelet coherence analysis," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(1), pages 807-826, March.
    33. Chia-Chen Yang & Shang-Ling Ou & Li-Chang Hsu, 2019. "A Hybrid Multi-Criteria Decision-Making Model for Evaluating Companies’ Green Credit Rating," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    34. Lee, Chi-Chuan & Lee, Chien-Chiang & Li, Yong-Yi, 2021. "Oil price shocks, geopolitical risks, and green bond market dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
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    More about this item

    Keywords

    Green bonds versus conventional bonds; Chaos analysis framework; Strange (fractal) attractor reconstruction; Multifractal analysis; Power-law distribution coherence test; Green bond market dynamics; Climate change implications;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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