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. 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.
    2. 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.
    3. 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.
    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).
    5. Barth, James R. & Lin, Chen & Ma, Yue & Seade, Jesús & Song, Frank M., 2013. "Do bank regulation, supervision and monitoring enhance or impede bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2879-2892.
    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. Mazin Alahmadi, 2024. "Optimizing Data Quality for Sustainable Development: An Integration of Green Finance with Financial Market Regulations," Sustainability, MDPI, vol. 16(23), pages 1-17, November.

    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. Anyars Mahmud, 2022. "Impact of Bank Regulations on Banks' Profitability: Cross-Country Evidence," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 8(2), pages 217-232.
    2. Takahashi, Fábio Lucas & Vasconcelos, Marcos Roberto, 2024. "Bank efficiency and undesirable output: An analysis of non-performing loans in the Brazilian banking sector," Finance Research Letters, Elsevier, vol. 59(C).
    3. Cheng, Maoyong & Qu, Yang & Jiang, Chunxia & Zhao, Chenchen, 2022. "Is cloud computing the digital solution to the future of banking?," Journal of Financial Stability, Elsevier, vol. 63(C).
    4. Cheng, Maoyong & Qu, Yang, 2023. "The false prosperity and promising future: Effects of data resources on bank efficiency," International Review of Financial Analysis, Elsevier, vol. 89(C).
    5. 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.
    6. Laureti, Carolina & Szafarz, Ariane, 2023. "Banking regulation and costless commitment contracts for time-inconsistent agents," Economic Modelling, Elsevier, vol. 129(C).
    7. Matteo Aquilina & Giulio Cornelli & Marina Sanchez del Villar, 2024. "Regulation, information asymmetries and the funding of new ventures," BIS Working Papers 1162, Bank for International Settlements.
    8. 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.
    9. 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.
    10. Said-Nour Samake, 2022. "Prudential Regulation and Bank Efficiency : Evidence from WAEMU Zone," Working Papers hal-03540209, HAL.
    11. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    12. Psillaki, Maria & Mamatzakis, Emmanuel, 2017. "What drives bank performance in transitions economies? The impact of reforms and regulations," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 578-594.
    13. Barra, Cristian & Papaccio, Anna & Ruggiero, Nazzareno, 2024. "The interaction between corruption, bank cost efficiency and economic development in Italy," Economic Systems, Elsevier, vol. 48(3).
    14. Mihăiță-Cosmin M. POPOVICI, 2014. "Impact Of Financial Crisis On Banking Efficiency: Evidence From Romania," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 3, pages 451-456, April.
    15. Liu, An-Chi & Kuo, Shew-Huei & Guo, Chao-Ling & Li, Yang, 2024. "Sustainable finance analysis of commercial banks in China," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    16. Brei, Michael & Jacolin, Luc & Noah, Alphonse, 2020. "Credit risk and bank competition in Sub-Saharan Africa," Emerging Markets Review, Elsevier, vol. 44(C).
    17. 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.
    18. Kuessi, Richard & Nantob, N'Yilimon & Aguey, Segnon & Couchoro, Mawuli Kodjovi, 2023. "Competition and banking efficiency in the WAEMU: The role of multinationals and institutions," International Economics, Elsevier, vol. 175(C), pages 45-62.
    19. Nyola, Annick Pamen & Sauviat, Alain & Tarazi, Amine & Danisman, Gamze Ozturk, 2021. "How organizational and geographic complexity influence performance: Evidence from European banks," Journal of Financial Stability, Elsevier, vol. 55(C).
    20. Sascha Tobias Wengerek & Benjamin Hippert & André Uhde, 2019. "Risk allocation through securitization - Evidence from non-performing loans," Working Papers Dissertations 58, Paderborn University, Faculty of Business Administration and Economics.

    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.