IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2309.15890.html
   My bibliography  Save this paper

An Introduction to Complex Networks in Climate Finance

Author

Listed:
  • Alexander P. Kartun-Giles
  • Nadia Ameli

Abstract

In this perspective, we introduce recent research into the structure and function of complex investor networks supporting sustainability efforts. Using the case of solar, wind and hydro energy technologies, this perspective explores the complexity in low-carbon finance markets, defined as markets that direct capital flows towards low-carbon technologies, using network approaches to study their structure and dynamics. Investors are modeled as nodes which form a network or higher-order network connected by edges representing projects in which joint funding or security-related insurance was provided or other investment-related interaction occurred. We review the literature on investor networks generally, particularly in the case of complex networks, and address areas where these ideas were applied in this emerging field. The complex investor dynamics which emerge from the extant funding scenarios are not well understood. These dynamics have the potential to result in interesting non-linear behaviour, growth, and decline, which can be studied, explained and controlled using the tools of network science.

Suggested Citation

  • Alexander P. Kartun-Giles & Nadia Ameli, 2023. "An Introduction to Complex Networks in Climate Finance," Papers 2309.15890, arXiv.org.
  • Handle: RePEc:arx:papers:2309.15890
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2309.15890
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    2. Crane, Alan D. & Koch, Andrew & Michenaud, Sébastien, 2019. "Institutional investor cliques and governance," Journal of Financial Economics, Elsevier, vol. 133(1), pages 175-197.
    3. Florian Egli & Bjarne Steffen & Tobias S. Schmidt, 2018. "A dynamic analysis of financing conditions for renewable energy technologies," Nature Energy, Nature, vol. 3(12), pages 1084-1092, December.
    4. John Foster, 2005. "From simplistic to complex systems in economics," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 29(6), pages 873-892, November.
    5. Lindblom, Ted & Mavruk, Taylan & Sjögren, Stefan, 2018. "East or west, home is best: The birthplace bias of individual investors," Journal of Banking & Finance, Elsevier, vol. 92(C), pages 323-339.
    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. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.
    2. Biplab Bhattacharjee & Muhammad Shafi & Animesh Acharjee, 2016. "Investigating the Influence Relationship Models for Stocks in Indian Equity Market: A Weighted Network Modelling Study," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-33, November.
    3. Champagne, Claudia, 2014. "The international syndicated loan market network: An “unholy trinity”?," Global Finance Journal, Elsevier, vol. 25(2), pages 148-168.
    4. Trindade, Graça & Dias, José G. & Ambrósio, Jorge, 2017. "Extracting clusters from aggregate panel data: A market segmentation study," Applied Mathematics and Computation, Elsevier, vol. 296(C), pages 277-288.
    5. Assaf Almog & Ferry Besamusca & Mel MacMahon & Diego Garlaschelli, 2015. "Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.
    6. João A. Bastos & Jorge Caiado, 2014. "Clustering financial time series with variance ratio statistics," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2121-2133, December.
    7. Sebastiano Michele Zema & Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2021. "Mesoscopic Structure of the Stock Market and Portfolio Optimization," Papers 2112.06544, arXiv.org.
    8. Davide Consoli & Pier Paolo Patrucco, 2011. "Complexity and the Coordination of Technological Knowledge: The Case of Innovation Platforms," Chapters, in: Handbook on the Economic Complexity of Technological Change, chapter 8 Edward Elgar Publishing.
    9. -, 2023. "Foreign Direct Investment in Latin America and the Caribbean 2023," La Inversión Extranjera Directa en América Latina y el Caribe, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 48979 edited by Eclac, September.
    10. Guido Caldarelli & Matthieu Cristelli & Andrea Gabrielli & Luciano Pietronero & Antonio Scala & Andrea Tacchella, 2012. "A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-11, October.
    11. Michelle B Graczyk & Sílvio M Duarte Queirós, 2017. "Intraday seasonalities and nonstationarity of trading volume in financial markets: Collective features," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    12. Skare, Marinko & Gavurova, Beata & Sinkovic, Dean, 2023. "Regional aspects of financial development and renewable energy: A cross-sectional study in 214 countries," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1142-1157.
    13. Shamshuritawati Sharif, 2012. "Correlation Network Analysis of International Postgraduate Students’ Satisfaction in Top Malaysian Universities: A Robust Approach," Modern Applied Science, Canadian Center of Science and Education, vol. 6(12), pages 1-91, December.
    14. Trancoso, Tiago, 2014. "Emerging markets in the global economic network: Real(ly) decoupling?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 499-510.
    15. López Pérez, Mario & Mansilla Corona, Ricardo, 2022. "Ordinal synchronization and typical states in high-frequency digital markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    16. Artiga González, Tanja & Calluzzo, Paul, 2020. "A new breed of activism," Finance Research Letters, Elsevier, vol. 37(C).
    17. Paulus, Michal & Kristoufek, Ladislav, 2015. "Worldwide clustering of the corruption perception," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 351-358.
    18. Ben Craig & Martín Saldías, 2016. "Spatial Dependence and Data-Driven Networks of International Banks," IMF Working Papers 2016/184, International Monetary Fund.
    19. Peng Yue & Qing Cai & Wanfeng Yan & Wei-Xing Zhou, 2020. "Information flow networks of Chinese stock market sectors," Papers 2004.08759, arXiv.org.
    20. Shana M. Sundstrom & Craig R. Allen & David G. Angeler, 2020. "Scaling and discontinuities in the global economy," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 319-345, April.

    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:2309.15890. 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.