IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v69y2024ics0275531924000710.html
   My bibliography  Save this article

Dynamic interlinkages between carbon risk and volatility of green and renewable energy: A TVP-VAR analysis

Author

Listed:
  • Ha, Le Thanh
  • Bouteska, Ahmed
  • Sharif, Taimur
  • Abedin, Mohammad Zoynul

Abstract

Our paper applies a time-varying parameter vector autoregression (TVP-VAR) in combination with an extended joint connectedness approach to investigate interlinkages among carbon emissions futures and the volatility of the renewable energy sector. The findings show that the system-wide dynamic connectedness realized a peak in early 2020 in the wake of the COVID-19 crisis. Net total directional connectedness proves that carbon emissions futures and wind energy play the roles of both net transmitters and net receivers of shocks in both periods – before and after the pandemic. The findings of this paper can support policy formulations to avoid rapid fluctuations in carbon prices, make the carbon price table, and limit the negative effect of carbon risk on the energy market, while promoting the protection of systemic financial risks in the renewable energy sector and ensuring a green energy supply.

Suggested Citation

  • Ha, Le Thanh & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Dynamic interlinkages between carbon risk and volatility of green and renewable energy: A TVP-VAR analysis," Research in International Business and Finance, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:riibaf:v:69:y:2024:i:c:s0275531924000710
    DOI: 10.1016/j.ribaf.2024.102278
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531924000710
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2024.102278?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. Menegaki, Angeliki N., 2011. "Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis," Energy Economics, Elsevier, vol. 33(2), pages 257-263, March.
    2. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "Volatility spillovers and other dynamics between cryptocurrencies and the energy and bond markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 1-13.
    3. Sangiorgi, Ivan & Schopohl, Lisa, 2021. "Why do institutional investors buy green bonds: Evidence from a survey of European asset managers," International Review of Financial Analysis, Elsevier, vol. 75(C).
    4. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    5. Yadav, Miklesh Prasad & Sharif, Taimur & Ashok, Shruti & Dhingra, Deepika & Abedin, Mohammad Zoynul, 2023. "Investigating volatility spillover of energy commodities in the context of the Chinese and European stock markets," Research in International Business and Finance, Elsevier, vol. 65(C).
    6. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    7. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    8. 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.
    9. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    10. Heinkel, Robert & Kraus, Alan & Zechner, Josef, 2001. "The Effect of Green Investment on Corporate Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 431-449, December.
    11. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2016. "Risk spillovers across the energy and carbon markets and hedging strategies for carbon risk," Energy Economics, Elsevier, vol. 54(C), pages 159-172.
    12. George Filis & Ioannis Chatziantoniou, 2014. "Financial and monetary policy responses to oil price shocks: evidence from oil-importing and oil-exporting countries," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 709-729, May.
    13. Reboredo, Juan C., 2015. "Is there dependence and systemic risk between oil and renewable energy stock prices?," Energy Economics, Elsevier, vol. 48(C), pages 32-45.
    14. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    15. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
    16. Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
    17. Chai, Shanglei & Zhang, Xichun & Abedin, Mohammad Zoynul & Chen, Huizheng & Lucey, Brian & Hajek, Petr, 2023. "An optimized GRT model with blockchain digital smart contracts for power generation enterprises," Energy Economics, Elsevier, vol. 128(C).
    18. 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.
    19. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    20. Samitas, Aristeidis & Papathanasiou, Spyros & Koutsokostas, Drosos & Kampouris, Elias, 2022. "Are timber and water investments safe-havens? A volatility spillover approach and portfolio hedging strategies for investors," Finance Research Letters, Elsevier, vol. 47(PA).
    21. Xiao, Di & Wang, Jun, 2020. "Dynamic complexity and causality of crude oil and major stock markets," Energy, Elsevier, vol. 193(C).
    22. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    23. Bhatti, M. Ishaq & Nguyen, Cuong C., 2012. "Diversification evidence from international equity markets using extreme values and stochastic copulas," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 622-646.
    24. Belaïd, Fateh & Al-Sarihi, Aisha, 2024. "Saudi Arabia energy transition in a post-paris agreement era: An analysis with a multi-level perspective approach," Research in International Business and Finance, Elsevier, vol. 67(PB).
    25. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    26. Wu, Ruirui & Qin, Zhongfeng & Liu, Bing-Yue, 2023. "Connectedness between carbon and sectoral commodity markets: Evidence from China," Research in International Business and Finance, Elsevier, vol. 66(C).
    27. Aristeidis, Samitas & Elias, Kampouris, 2018. "Empirical analysis of market reactions to the UK’s referendum results – How strong will Brexit be?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 263-286.
    28. 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.
    29. 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.
    30. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    31. Samitas, Aristeidis & Papathanasiou, Spyros & Koutsokostas, Drosos & Kampouris, Elias, 2022. "Volatility spillovers between fine wine and major global markets during COVID-19: A portfolio hedging strategy for investors," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 629-642.
    32. Dina Azhgaliyeva & Anant Kapoor & Yang Liu, 2020. "Green bonds for financing renewable energy and energy efficiency in South-East Asia: a review of policies," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 10(2), pages 113-140, April.
    33. Abedin, Mohammad Zoynul & Hajek, Petr & Sharif, Taimur & Satu, Md. Shahriare & Khan, Md. Imran, 2023. "Modelling bank customer behaviour using feature engineering and classification techniques," Research in International Business and Finance, Elsevier, vol. 65(C).
    34. Achraf Ghorbel & Mouna Abdelhedi & Younes Boujelbene, 2014. "Assessing the Impact of Crude Oil Price and Investor Sentiment on Islamic Indices: Subprime Crisis," Journal of African Business, Taylor & Francis Journals, vol. 15(1), pages 13-24, April.
    35. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, vol. 75(C), pages 14-27.
    36. Fabrizio Durante & Piotr Jaworski, 2010. "Spatial contagion between financial markets: a copula‐based approach," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(5), pages 551-564, September.
    37. Zhang, Dayong & Zhang, Zhiwei & Managi, Shunsuke, 2019. "A bibliometric analysis on green finance: Current status, development, and future directions," Finance Research Letters, Elsevier, vol. 29(C), pages 425-430.
    38. Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2019. "How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study," Energy Economics, Elsevier, vol. 84(C).
    39. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    40. Uddin, Mirza Md Moyen & Sharif, Taimur & Islam, Abe Reza Mohammad & Abedin, Mohammad Zoynul, 2024. "Moderating impact of FDI on the growth-environment nexus in the pre-COVID-19 eras," Research in International Business and Finance, Elsevier, vol. 67(PA).
    41. Liu, Qingrui & Tang, Lu, 2022. "Research on the accelerating effect of green finance on the transformation of energy consumption in China," Research in International Business and Finance, Elsevier, vol. 63(C).
    42. Ferrer, Román & Shahzad, Syed Jawad Hussain & López, Raquel & Jareño, Francisco, 2018. "Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices," Energy Economics, Elsevier, vol. 76(C), pages 1-20.
    43. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    44. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    45. Jin, Jiayu & Han, Liyan & Wu, Lei & Zeng, Hongchao, 2020. "The hedging effect of green bonds on carbon market risk," International Review of Financial Analysis, Elsevier, vol. 71(C).
    46. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    47. Mirza Md Moyen Uddin & Taimur Sharif & Rekha Pillai, 2021. "Revisiting the EKC Hypothesis on the Moderating Role of Human Capital Formation in the Economic Growth-Environment Nexus," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 67(1), pages 71-111.
    48. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
    49. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
    50. Samitas, Aristeidis & Kampouris, Elias & Polyzos, Stathis, 2022. "Covid-19 pandemic and spillover effects in stock markets: A financial network approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bouteska, Ahmed & Ha, Le Thanh & Bhuiyan, Faruk & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Contagion between investor sentiment and green bonds in China during the global uncertainties," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 469-484.
    2. Lim, Seo-Yeon & Choi, Sun-Yong, 2024. "Dynamic credit risk transmissions among global major industries: Evidence from the TVP-VAR spillover approach," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    3. Zhao, Xin & Benkraiem, Ramzi & Abedin, Mohammad Zoynul & Zhou, Silu, 2024. "The charm of green finance: Can green finance reduce corporate carbon emissions?," Energy Economics, Elsevier, vol. 134(C).
    4. Jiang, Wei & Dong, Lingfei & Liu, Xutang & Zou, Liming, 2024. "Volatility spillovers among economic policy uncertainty, energy and carbon markets—The quantile time-frequency perspective," Energy, Elsevier, vol. 307(C).
    5. Xinchen Liu & Xuanwei Ning & Chengliang Wu & Yang Zhang, 2024. "Evolutionary Trends in Carbon Market Risk Research," Energies, MDPI, vol. 17(18), pages 1-28, September.

    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. Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Gabauer, David & Dwumfour, Richard Adjei, 2022. "Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies," Global Finance Journal, Elsevier, vol. 51(C).
    2. Cocca, Teodoro & Gabauer, David & Pomberger, Stefan, 2024. "Clean energy market connectedness and investment strategies: New evidence from DCC-GARCH R2 decomposed connectedness measures," Energy Economics, Elsevier, vol. 136(C).
    3. Bouteska, Ahmed & Ha, Le Thanh & Bhuiyan, Faruk & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Contagion between investor sentiment and green bonds in China during the global uncertainties," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 469-484.
    4. Stenfors, Alexis & Chatziantoniou, Ioannis & Gabauer, David, 2022. "Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    5. Song, Feng & Cui, Jian & Yu, Yihua, 2022. "Dynamic volatility spillover effects between wind and solar power generations: Implications for hedging strategies and a sustainable power sector," Economic Modelling, Elsevier, vol. 116(C).
    6. Guangxi Cao & Fei Xie, 2024. "Extreme risk spillovers across energy and carbon markets: Evidence from the quantile extended joint connectedness approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2155-2175, April.
    7. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2021. "The impact of Euro through time: Exchange rate dynamics under different regimes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1375-1408, January.
    8. David Gabauer, 2020. "Volatility impulse response analysis for DCC‐GARCH models: The role of volatility transmission mechanisms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 788-796, August.
    9. Juncal Cunado & David Gabauer & Rangan Gupta & Chien-Chiang Lee, 2022. "On the Propagation Mechanism of International Real Interest Rate Spillovers: Evidence from More than 200 Years of Data," Working Papers 202212, University of Pretoria, Department of Economics.
    10. Naeem, Muhammad Abubakr & Chatziantoniou, Ioannis & Gabauer, David & Karim, Sitara, 2024. "Measuring the G20 stock market return transmission mechanism: Evidence from the R2 connectedness approach," International Review of Financial Analysis, Elsevier, vol. 91(C).
    11. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    12. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    13. Cunado, Juncal & Chatziantoniou, Ioannis & Gabauer, David & de Gracia, Fernando Perez & Hardik, Marfatia, 2023. "Dynamic spillovers across precious metals and oil realized volatilities: Evidence from quantile extended joint connectedness measures," Journal of Commodity Markets, Elsevier, vol. 30(C).
    14. Le, Trung H. & Pham, Linh & Do, Hung X., 2023. "Price risk transmissions in the water-energy-food nexus: Impacts of climate risks and portfolio implications," Energy Economics, Elsevier, vol. 124(C).
    15. Dang, Tam Hoang Nhat & Balli, Faruk & Balli, Hatice Ozer & Gabauer, David & Nguyen, Thi Thu Ha, 2024. "Sectoral uncertainty spillovers in emerging markets: A quantile time–frequency connectedness approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 121-139.
    16. Ha, Le Thanh, 2022. "Storm after the Gloomy days: Influences of COVID-19 pandemic on volatility of the energy market," Resources Policy, Elsevier, vol. 79(C).
    17. Inglesi-Lotz, R. & Dogan, Eyup & Nel, J. & Tzeremes, Panayiotis, 2023. "Connectedness and spillovers in the innovation network of green transportation," Energy Policy, Elsevier, vol. 180(C).
    18. Ha, Le Thanh & Nham, Nguyen Thi Hong, 2022. "An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    19. Ha, Le Thanh & Bouteska, Ahmed & Mefteh-Wali, Salma & The Anh, Pham, 2023. "Fluctuations in gold prices in Vietnam during the COVID-19 pandemic: Insights from a time-varying parameter autoregression model," Resources Policy, Elsevier, vol. 86(PB).
    20. Banerjee, Ameet Kumar & Sensoy, Ahmet & Goodell, John W., 2024. "Connectivity and spillover during crises: Highlighting the prominent and growing role of green energy," Energy Economics, Elsevier, vol. 129(C).

    More about this item

    Keywords

    Carbon risk; Green and renewable energy; COVID-19 pandemic; Dynamic connectedness; Joint connectedness; TVP-VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F3 - International Economics - - International Finance
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    Statistics

    Access and download statistics

    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:riibaf:v:69:y:2024:i:c:s0275531924000710. 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/ribaf .

    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.