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Bank Behavior In Determining Supply Of Credit In Indonesia

Author

Listed:
  • Danny Hermawan

    (Bank Indonesia)

  • Cicilia Anggadewi Harun

    (Bank Indonesia)

  • Wicaksono Aryo Pradipto

    (Bank Indonesia)

  • Yulian Zifar Ayustira

    (Bank Indonesia)

  • Alvin Andhika Zulen

    (Bank Indonesia)

  • Amin Endah Sulistiawati

    (Bank Indonesia)

  • Ade Dwi Aryani

    (Bank Indonesia)

  • Sintia Aurida

    (Bank Indonesia)

Abstract

With the constant diruptions in the economy stemmed from global market turbulence, technological changes, and shift toward a more sustainable way of life, understanding banking behavior become a priority to maintain financial stability. This study examines the credit allocation behavior of banks in Indonesia, influenced by economic conditions, regulatory frameworks, technological advancements, and sector-specific challenges. Bank credit plays a vital role in macroeconomic stability, and economic fluctuations impact banks procyclical credit behavior. The Indonesian banking sector faces complex pressures and sectoral risks, emphasizing the need for solid policies from Bank Indonesia to maintain financial system stability. This research addresses two main questions: how client relationships affect credit supply decisions and how structural changes such as interest rates, climate change, and cybersecurity influence bank behavior. Utilizing primary and secondary data as well as machine learning (ML) methods, the study reveals insights into credit supply practices in Indonesian banks and the potential of big data and ML for a detailed assessment of credit distribution patterns. The findings highlight the importance of stricter oversight, technological integration, and sectorspecific strategies, especially for SMEs and high-risk sectors such as tourism and mining. The study emphasizes integrating green finance, RegTech, and SupTech to enhance banking sector resilience and align credit activities with sustainability goals. By applying these insights, Indonesia can create a stable credit environment, support economic growth, and ensure banks are prepared to manage evolving risks in the financial landscape.

Suggested Citation

  • Danny Hermawan & Cicilia Anggadewi Harun & Wicaksono Aryo Pradipto & Yulian Zifar Ayustira & Alvin Andhika Zulen & Amin Endah Sulistiawati & Ade Dwi Aryani & Sintia Aurida, 2024. "Bank Behavior In Determining Supply Of Credit In Indonesia," Working Papers WP/11/2024, Bank Indonesia.
  • Handle: RePEc:idn:wpaper:wp112024
    as

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    References listed on IDEAS

    as
    1. Angelini, Eliana & di Tollo, Giacomo & Roli, Andrea, 2008. "A neural network approach for credit risk evaluation," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 733-755, November.
    2. Sobarsyah, Muhammad & Soedarmono, Wahyoe & Yudhi, Wahdi Salasi Apri & Trinugroho, Irwan & Warokka, Ari & Pramono, Sigid Eko, 2020. "Loan growth, capitalization, and credit risk in Islamic banking," International Economics, Elsevier, vol. 163(C), pages 155-162.
    3. Tobal, Martin & Menna, Lorenzo, 2020. "Monetary policy and financial stability in emerging market economies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
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    Keywords

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    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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