IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v17y2024i7p295-d1432472.html
   My bibliography  Save this article

Understanding Regulatory Changes: Deep Learning in Sustainable Finance and Banking

Author

Listed:
  • Bogdan Ionut Anghel

    (Department of International Business and Economics, Bucharest University of Economic Studies, 010404 Bucharest, Romania)

  • Radu Lupu

    (Institute for Economic Forecasting, Romanian Academy, 050711 Bucharest, Romania)

Abstract

This paper examines the regulatory impact on the European Banking Sector using advanced deep learning techniques to analyze the relationship between Sustainable Finance guidelines and the SX7P Index from January 2012 to December 2023. Utilizing Long Short-Term Memory Auto-encoder (LSTM-AE), Variational Autoencoder (VAE), and Convolutional Neural Network (CNN) for anomaly detection, the study compares anomalies and investigates their correlation with European Banking Authority (EBA) events and Sustainable Finance guidelines from January 2020 to December 2023. Through the analysis of 43 pertinent EBA documents, the research identifies patterns and variations in anomalies, assessing their association with regulatory changes. The results reveal significant anomalies aligning with regulatory events, indicating a potential causal relationship. Notably, the VAE methodology shows the strongest correlation between EBA Sustainable Finance events and anomalies. This research advances the understanding of deep learning applications in financial markets and offers valuable insights for policymakers and financial institutions regarding regulatory shifts in Sustainable Finance.

Suggested Citation

  • Bogdan Ionut Anghel & Radu Lupu, 2024. "Understanding Regulatory Changes: Deep Learning in Sustainable Finance and Banking," JRFM, MDPI, vol. 17(7), pages 1-13, July.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:7:p:295-:d:1432472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/17/7/295/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/17/7/295/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesca Pampurini & Anna Grazia Quaranta, 2018. "Sustainability and Efficiency of the European Banking Market after the Global Crisis: The Impact of Some Strategic Choices," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    2. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    3. Martin Leo & Suneel Sharma & K. Maddulety, 2019. "Machine Learning in Banking Risk Management: A Literature Review," Risks, MDPI, vol. 7(1), pages 1-22, March.
    4. Ahamed, M. Mostak & Ho, Shirley J. & Mallick, Sushanta K. & Matousek, Roman, 2021. "Inclusive banking, financial regulation and bank performance: Cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 124(C).
    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. Katherin Carrera-Silva & Olga Maritza Rodríguez Ulcuango & Paula Abdo-Peralta & Ángel Gerardo Castelo Salazar & Carmen Amelia Samaniego Erazo & Diego Haro Ávalos, 2024. "Beyond the Financial Horizon: A Critical Review of Social Responsibility in Latin American Credit Unions," Sustainability, MDPI, vol. 16(18), pages 1-23, September.
    2. John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace, 2021. "Know Your Clients’ Behaviours: A Cluster Analysis of Financial Transactions," JRFM, MDPI, vol. 14(2), pages 1-29, January.
    3. Fernando Ubeda & Alvaro Mendez & Francisco Javier Forcadell, 2024. "Sustainable banking and trust in the global South," Global Policy, London School of Economics and Political Science, vol. 15(S1), pages 34-44, March.
    4. Ghosh, Saurabh & Mazumder, Debojyoti, 2023. "Do NBFCs propagate real shocks?," Journal of Asian Economics, Elsevier, vol. 85(C).
    5. Lu, Yao & Li, Lu & Zhan, Huanqi & Zhan, Minghua, 2024. "Fintech, information heterogeneity, and the regional distribution effects of corporate financing constraints," Economic Modelling, Elsevier, vol. 137(C).
    6. Úbeda, Fernando & Mendez, Alvaro & Forcadell, Francisco Javier, 2022. "The sustainable practices of multinational banks as drivers of financial inclusion in developing countries," LSE Research Online Documents on Economics 115063, London School of Economics and Political Science, LSE Library.
    7. Emilio Colombo & Davide Furceri & Pietro Pizzuto & Patrizio Tirelli, 2022. "Fiscal Multipliers and Informality," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2201, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    8. Keerthana Sivamayil & Elakkiya Rajasekar & Belqasem Aljafari & Srete Nikolovski & Subramaniyaswamy Vairavasundaram & Indragandhi Vairavasundaram, 2023. "A Systematic Study on Reinforcement Learning Based Applications," Energies, MDPI, vol. 16(3), pages 1-23, February.
    9. Bauer, Kevin & Nofer, Michael & Abdel-Karim, Benjamin M. & Hinz, Oliver, 2022. "The effects of discontinuing machine learning decision support," SAFE Working Paper Series 370, Leibniz Institute for Financial Research SAFE.
    10. Yu, Jingjing, 2024. "Stabilizing leverage, financial technology innovation, and commercial bank risks: Evidence from China," Economic Modelling, Elsevier, vol. 131(C).
    11. Pejman Peykani & Mostafa Sargolzaei & Mohammad Hashem Botshekan & Camelia Oprean-Stan & Amir Takaloo, 2023. "Optimization of Asset and Liability Management of Banks with Minimum Possible Changes," Mathematics, MDPI, vol. 11(12), pages 1-24, June.
    12. Dmytro Kovalenko & Olga Afanasieva & Nani Zabuta & Tetiana Boiko & Rosen Rosenov Baltov, 2021. "Model of Assessing the Overdue Debts in a Commercial Bank Using Neuro-Fuzzy Technologies," JRFM, MDPI, vol. 14(5), pages 1-20, May.
    13. Peter W. Muriu, 2021. "Does the Quality of Institutions Matter for Financial Inclusion? Cross Country Evidence," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(7), pages 1-27, June.
    14. Zuchowski, David, 2023. "Pro-immigrant legislation and financial inclusion: The effects of sanctuary policies on the mortgage market," Ruhr Economic Papers 1053, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Wang, Xiaoting & Hou, Siyuan & Kyaw, Khine & Xue, Xupeng & Liu, Xueqin, 2023. "Exploring the determinants of Fintech Credit: A comprehensive analysis," Economic Modelling, Elsevier, vol. 126(C).
    16. Vikranth Lokeshwar Dhandapani & Shashi Jain, 2024. "Neural Networks for Portfolio-Level Risk Management: Portfolio Compression, Static Hedging, Counterparty Credit Risk Exposures and Impact on Capital Requirement," Papers 2402.17941, arXiv.org.
    17. Xu, Zhaoyi & Saleh, Joseph Homer, 2021. "Machine learning for reliability engineering and safety applications: Review of current status and future opportunities," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    18. Ni Zhan, 2021. "Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits," Papers 2101.09230, arXiv.org.
    19. Mohammad Ashraful Ferdous Chowdhury & Mohammad Abdullah & Nurun Nowshin Chowdhury Nazia & Debarshi Roy, 2023. "The nonlinear and threshold effects of IT investment on the banking sector of Bangladesh," Economic Change and Restructuring, Springer, vol. 56(6), pages 4253-4283, December.
    20. Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.

    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:gam:jjrfmx:v:17:y:2024:i:7:p:295-:d:1432472. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.