IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v121y2023ics0140988323001500.html
   My bibliography  Save this article

A memory in the bond: Green bond and sectoral investment interdependence in a fractionally cointegrated VAR framework

Author

Listed:
  • Mishra, Tapas
  • Park, Donghyun
  • Parhi, Mamata
  • Uddin, Gazi Salah
  • Tian, Shu

Abstract

The urgency surrounding environmental sustainability has triggered an innovation of financing channels for climate and environmental projects. Green bond as one such channel has garnered immense interest from investors, with an implicit view that this fixed-income instrument is a relatively safer choice as an investment portfolio. Yet, the uncomfortable spread of greenwashing as a marketing spin has subjected green bonds to significant market volatility, at least as much as other financial assets or sectoral indices if not more. Whether green bonds as a financial instrument may incur losses to the extent of the loss in various sector indices, can be gauged by studying the nature of their contemporaneous growth. In this paper, we use daily data on green bonds and several S&P sectoral indices and a fractionally cointegrated vector autoregression framework (FCVAR) to study the extent to which green bonds dynamically co-move with various sectoral indices. Such a co-movement, if any, would elicit the extent to which a variation of uncertainty would determine an investor’s inclination to the diversification of a portfolio between an investment in a sectoral index and a green bond. The identifying mechanism is the shock-dissipation speed, which also informs a policymaker before choosing the right instrument to stabilise the system. We show that the system-wide shocks indeed dissipate slower than could be predicted by a conventional cointegrated VAR system. Further, the property of the slow error correction within the dynamic system of Green Bond and sectoral S&P indices, for instance, may demonstrate the speed of adjustment of the global economy to sudden shocks. Rigorous predictions exercises complement our baseline conclusions.

Suggested Citation

  • Mishra, Tapas & Park, Donghyun & Parhi, Mamata & Uddin, Gazi Salah & Tian, Shu, 2023. "A memory in the bond: Green bond and sectoral investment interdependence in a fractionally cointegrated VAR framework," Energy Economics, Elsevier, vol. 121(C).
    • Handle: RePEc:eee:eneeco:v:121:y:2023:i:c:s0140988323001500
    DOI: 10.1016/j.eneco.2023.106652
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988323001500
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2023.106652?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Søren Johansen & Morten Ørregaard Nielsen, 2012. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
    2. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michał Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1078-1130, November.
    3. Le, TN-Lan & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar, 2021. "Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    4. Hammoudeh, Shawkat & Ajmi, Ahdi Noomen & Mokni, Khaled, 2020. "Relationship between green bonds and financial and environmental variables: A novel time-varying causality," Energy Economics, Elsevier, vol. 92(C).
    5. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2020. "Global Cities and Local Housing Market Cycles," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 671-697, November.
    6. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    7. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Caby, Jérôme & Šević, Aleksandar, 2021. "The influence of investor sentiment on the green bond market," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    8. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    9. Pham, Linh, 2021. "Frequency connectedness and cross-quantile dependence between green bond and green equity markets," Energy Economics, Elsevier, vol. 98(C).
    10. Reboredo, Juan C., 2018. "Green bond and financial markets: Co-movement, diversification and price spillover effects," Energy Economics, Elsevier, vol. 74(C), pages 38-50.
    11. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    12. Røed Larsen, Erling & Weum, Steffen, 2008. "Testing the efficiency of the Norwegian housing market," Journal of Urban Economics, Elsevier, vol. 64(2), pages 510-517, September.
    13. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    14. Shimotsu, Katsumi, 2010. "Exact Local Whittle Estimation Of Fractional Integration With Unknown Mean And Time Trend," Econometric Theory, Cambridge University Press, vol. 26(2), pages 501-540, April.
    15. Federico Carlini & Paolo Santucci de Magistris, 2019. "On the Identification of Fractionally Cointegrated VAR Models With the Condition," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 134-146, January.
    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. Olivier David Zerbib, 2019. "The effect of pro-environmental preferences on bond prices: Evidence from green bonds," Post-Print halshs-02008641, HAL.
    18. Tschernig, Rolf & Weber, Enzo & Weigand, Roland, 2013. "Fractionally Integrated VAR Models with a Fractional Lag Operator and Deterministic Trends: Finite Sample Identification and Two-step Estimation," University of Regensburg Working Papers in Business, Economics and Management Information Systems 471, University of Regensburg, Department of Economics.
    19. Zerbib, Olivier David, 2019. "The effect of pro-environmental preferences on bond prices: Evidence from green bonds," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 39-60.
    20. Tang, Dragon Yongjun & Zhang, Yupu, 2020. "Do shareholders benefit from green bonds?," Journal of Corporate Finance, Elsevier, vol. 61(C).
    21. Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price connectedness between green bond and financial markets," Economic Modelling, Elsevier, vol. 88(C), pages 25-38.
    22. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, Decembrie.
    23. Juan Piñeiro-Chousa & M.Ángeles López-Cabarcos & Jérôme Caby & Aleksandar Šević, 2021. "The influence of investor sentiment on the green bond market," Post-Print hal-02960892, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pham, Linh & Cepni, Oguzhan, 2022. "Extreme directional spillovers between investor attention and green bond markets," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 186-210.
    2. Liu, Min, 2022. "The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 288-309.
    3. Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Adekoya, Oluwasegun B. & Oteng-Abayie, Eric Fosu, 2023. "An analysis of the time-varying causality and dynamic correlation between green bonds and US gas prices," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    4. Chaofeng Tang & Kentaka Aruga & Yi Hu, 2023. "The Dynamic Correlation and Volatility Spillover among Green Bonds, Clean Energy Stock, and Fossil Fuel Market," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    5. Joao Leitao & Joaquim Ferreira & Ernesto Santibanez‐Gonzalez, 2021. "Green bonds, sustainable development and environmental policy in the European Union carbon market," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2077-2090, May.
    6. Román Ferrer & Rafael Benítez & Vicente J. Bolós, 2021. "Interdependence between Green Financial Instruments and Major Conventional Assets: A Wavelet-Based Network Analysis," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
    7. Kocaarslan, Baris & Soytas, Ugur, 2023. "The role of major markets in predicting the U.S. municipal green bond market performance: New evidence from machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. Li, Yanxi & Yu, Conghui & Shi, Jinyan & Liu, Yuanyuan, 2023. "How does green bond issuance affect total factor productivity? Evidence from Chinese listed enterprises," Energy Economics, Elsevier, vol. 123(C).
    9. Su, Tong & Lin, Boqiang, 2022. "The liquidity impact of Chinese green bonds spreads," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 318-334.
    10. Reboredo, Juan C. & Ugolini, Andrea & Ojea-Ferreiro, Javier, 2022. "Do green bonds de-risk investment in low-carbon stocks?," Economic Modelling, Elsevier, vol. 108(C).
    11. Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Adekoya, Oluwasegun B. & Hammoudeh, Shawkat, 2023. "What do we know about the price spillover between green bonds and Islamic stocks and stock market indices?," Global Finance Journal, Elsevier, vol. 55(C).
    12. 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).
    13. Lin, Boqiang & Su, Tong, 2022. "Green bond vs conventional bond: Outline the rationale behind issuance choices in China," International Review of Financial Analysis, Elsevier, vol. 81(C).
    14. Yadav, Mikesh Prasad & Pandey, Asheesh & Taghizadeh-Hesary, Farhad & Arya, Vandana & Mishra, Nandita, 2023. "Volatility spillover of green bond with renewable energy and crypto market," Renewable Energy, Elsevier, vol. 212(C), pages 928-939.
    15. Akhtaruzzaman, Md & Banerjee, Ameet Kumar & Ghardallou, Wafa & Umar, Zaghum, 2022. "Is greenness an optimal hedge for sectoral stock indices?," Economic Modelling, Elsevier, vol. 117(C).
    16. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Doğan, Buhari & Ghosh, Sudeshna, 2023. "Sustainable debt and gas markets: A new look using the time-varying wavelet-windowed cross-correlation approach," Energy Economics, Elsevier, vol. 120(C).
    17. Jiongye Jin & Jianing Zhang, 2023. "The Stock Performance of Green Bond Issuers During COVID-19 Pandemic: The Case of China," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 211-230, March.
    18. Tang, Yumei & Chen, Xihui Haviour & Sarker, Provash Kumer & Baroudi, Sarra, 2023. "Asymmetric effects of geopolitical risks and uncertainties on green bond markets," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    19. Agoraki, Maria-Eleni K. & Aslanidis, Nektarios & Kouretas, Georgios P., 2023. "How has COVID-19 affected the performance of green investment funds?," Journal of International Money and Finance, Elsevier, vol. 131(C).
    20. Wang, Moran & Li, Xuerong & Wang, Shouyang, 2021. "Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis," Energy Policy, Elsevier, vol. 154(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:121:y:2023:i:c:s0140988323001500. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.