IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2405.02575.html
   My bibliography  Save this paper

Monetary Policies on Green Financial Markets: Evidence from a Multi-Moment Connectedness Network

Author

Listed:
  • Tingguo Zheng
  • Hongyin Zhang
  • Shiqi Ye

Abstract

This paper introduces a novel multi-moment connectedness network approach for analyzing the interconnectedness of green financial market. Focusing on the impact of monetary policy shocks, our study reveals that connectedness within the green bond and equity markets varies with different moments (returns, volatility, skewness, and kurtosis) and changes significantly around Federal Open Market Committee (FOMC) events. Static analysis shows a decrease in connectedness with higher moments, while dynamic analysis highlights increased sensitivity to event-driven shocks. We find that both tight and loose monetary policy shocks initially elevate connectedness within the first six months. However, the effects of tight shocks gradually fade, whereas loose shocks may reduce connectedness after one year. These results offer insight to policymakers in regulating sustainable economies and investment managers in strategizing asset allocation and risk management, especially in environmentally focused markets. Our study contributes to understanding the complex dynamics of the green financial market in response to monetary policies, helping in decision-making for sustainable economic development and financial stability.

Suggested Citation

  • Tingguo Zheng & Hongyin Zhang & Shiqi Ye, 2024. "Monetary Policies on Green Financial Markets: Evidence from a Multi-Moment Connectedness Network," Papers 2405.02575, arXiv.org, revised Oct 2024.
  • Handle: RePEc:arx:papers:2405.02575
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2405.02575
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Boqiang Lin & Tong Su, 2023. "Uncertainties and green bond markets: Evidence from tail dependence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4458-4475, October.
    2. Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023. "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    3. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    4. Matteo Barigozzi & Marc Hallin, 2017. "A network analysis of the volatility of high dimensional financial series," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(3), pages 581-605, April.
    5. Chen, Yi-Pei & Chen, Yu-Lun & Chiang, Shu-Hen & Mo, Wan-Shin, 2023. "Determinants of connectedness in financial institutions: Evidence from Taiwan," Emerging Markets Review, Elsevier, vol. 55(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. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate Change, Financial Stability and Monetary Policy," Ecological Economics, Elsevier, vol. 152(C), pages 219-234.
    8. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn & Michailidis, George, 2019. "Interconnectedness in the interbank market," Journal of Financial Economics, Elsevier, vol. 133(2), pages 520-538.
    9. Zheng, Tingguo & Gong, Lu & Ye, Shiqi, 2023. "Global energy market connectedness and inflation at risk," Energy Economics, Elsevier, vol. 126(C).
    10. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    11. Sun, Chuanwang & Khan, Anwar & Liu, Yongzhe & Lei, Ni, 2022. "An analysis of the impact of fiscal and monetary policy fluctuations on the disaggregated level renewable energy generation in the G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 1154-1165.
    12. Zihui Yang & Yinggang Zhou, 2017. "Quantitative Easing and Volatility Spillovers Across Countries and Asset Classes," Management Science, INFORMS, vol. 63(2), pages 333-354, February.
    13. Hale, Galina & Lopez, Jose A., 2019. "Monitoring banking system connectedness with big data," Journal of Econometrics, Elsevier, vol. 212(1), pages 203-220.
    14. Mensi, Walid & Shafiullah, Muhammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Spillovers and connectedness between green bond and stock markets in bearish and bullish market scenarios," Finance Research Letters, Elsevier, vol. 49(C).
    15. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    16. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    17. Lin, Boqiang & Li, Minyang, 2023. "Emerging Industry Development and Information Transmission in Financial Markets: Evidence from China's Renewable Energy," Energy Economics, Elsevier, vol. 128(C).
    18. Pham, Linh, 2021. "Frequency connectedness and cross-quantile dependence between green bond and green equity markets," Energy Economics, Elsevier, vol. 98(C).
    19. Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price connectedness between green bond and financial markets," Economic Modelling, Elsevier, vol. 88(C), pages 25-38.
    20. Leopoldo Catania, 2021. "Dynamic Adaptive Mixture Models with an Application to Volatility and Risk," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 531-564.
    21. 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.
    22. 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).
    23. 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.
    24. Mauro Bernardi & Leopoldo Catania, 2019. "Switching generalized autoregressive score copula models with application to systemic risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(1), pages 43-65, January.
    25. Sun, Chuanwang & Ding, Dan & Fang, Xingming & Zhang, Huiming & Li, Jianglong, 2019. "How do fossil energy prices affect the stock prices of new energy companies? Evidence from Divisia energy price index in China's market," Energy, Elsevier, vol. 169(C), pages 637-645.
    26. Bouri, Elie & Lei, Xiaojie & Xu, Yahua & Zhang, Hongwei, 2023. "Connectedness in implied higher-order moments of precious metals and energy markets," Energy, Elsevier, vol. 263(PB).
    27. Wang, Tiantian & Wu, Fei & Zhang, Dayong & Ji, Qiang, 2023. "Energy market reforms in China and the time-varying connectedness of domestic and international markets," Energy Economics, Elsevier, vol. 117(C).
    28. Wu, Fei & Xiao, Xuanqi & Zhou, Xinyu & Zhang, Dayong & Ji, Qiang, 2022. "Complex risk contagions among large international energy firms: A multi-layer network analysis," Energy Economics, Elsevier, vol. 114(C).
    29. 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.
    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. Zheng, Tingguo & Zhang, Hongyin & Ye, Shiqi, 2024. "Monetary policies on green financial markets: Evidence from a multi-moment connectedness network," Energy Economics, Elsevier, vol. 136(C).
    2. Qi, Xiaohong & Zhang, Guofu, 2022. "Dynamic connectedness of China’s green bonds and asset classes," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    3. Zheng, Tingguo & Gong, Lu & Ye, Shiqi, 2023. "Global energy market connectedness and inflation at risk," Energy Economics, Elsevier, vol. 126(C).
    4. Chen, Chuanglian & Zhou, Lichao & Sun, Chuanwang & Lin, Yuting, 2024. "Does oil future increase the network systemic risk of financial institutions in China?," Applied Energy, Elsevier, vol. 364(C).
    5. Ouyang, Zisheng & Zhou, Xuewei & Lu, Min & Liu, Ke, 2024. "Imported financial risk in global stock markets: Evidence from the interconnected network," Research in International Business and Finance, Elsevier, vol. 69(C).
    6. Zhang, Yunhan & Gabauer, David & Gupta, Rangan & Ji, Qiang, 2024. "How connected is the oil-bank network? Firm-level and high-frequency evidence," Energy Economics, Elsevier, vol. 136(C).
    7. Pham, Son D. & Nguyen, Thao T.T. & Do, Hung X., 2024. "Impact of climate policy uncertainty on return spillover among green assets and portfolio implications," Energy Economics, Elsevier, vol. 134(C).
    8. Gao, Yang & Zhou, Yueyi & Zhao, Longfeng, 2024. "Quantile interdependence and network connectedness between China's green financial and energy markets," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1148-1177.
    9. Xu, Danyang & Hu, Yang & Corbet, Shaen & Hou, Yang (Greg) & Oxley, Les, 2024. "Green bonds and traditional and emerging investments: Understanding connectedness during crises," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    10. Siddique, Md. Abubakar & Nobanee, Haitham & Hasan, Md. Bokhtiar & Uddin, Gazi Salah & Nahiduzzaman, Md., 2024. "Is investing in green assets costlier? Green vs. non-green financial assets," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1460-1481.
    11. Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
    12. Xu, Danyang & Hu, Yang & Corbet, Shaen & Lang, Chunlin, 2024. "Return connectedness of green bonds and financial investment channels in China: Implications for hedging and regulation," Research in International Business and Finance, Elsevier, vol. 70(PA).
    13. 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.
    14. Huang, Zishan & Zhu, Huiming & Hau, Liya & Deng, Xi, 2023. "Time-frequency co-movement and network connectedness between green bond and financial asset markets: Evidence from multiscale TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    15. Ying-Ying Shen & Zhi-Qiang Jiang & Jun-Chao Ma & Gang-Jin Wang & Wei-Xing Zhou, 2022. "Sector connectedness in the Chinese stock markets," Empirical Economics, Springer, vol. 62(2), pages 825-852, February.
    16. Wu, Ruirui & Qin, Zhongfeng, 2024. "Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets," Energy, Elsevier, vol. 292(C).
    17. Atasoy, Burak Sencer & Özkan, İbrahim & Erden, Lütfi, 2024. "The determinants of systemic risk contagion," Economic Modelling, Elsevier, vol. 130(C).
    18. Ngoepe, Letlhogonolo Kearabilwe & Bonga-Bonga, Lumengo, 2024. "The connectedness of financial risk and green financial instruments: a dynamic and frequency analysis," MPRA Paper 121091, University Library of Munich, Germany.
    19. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2024. "Extreme time-frequency connectedness across U.S. sector stock and commodity futures markets," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 1176-1197.
    20. Chen, Huayi & Shi, Huai-Long & Zhou, Wei-Xing, 2024. "Carbon volatility connectedness and the role of external uncertainties: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 33(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2405.02575. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.