Identifying the Constituent Elements of Banking Supervision in Financial Markets Using Metadata and Text Mining Tools

Document Type : Research Paper

Authors

1 PhD Candidate, Department of Public Administration, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.

2 Prof., Department of Business Management, Faculty of Business Management, College of Management, University of Tehran, Tehran, Iran.

3 Associate Prof., Department of Public Administration, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.

4 Prof., Department of Public Administration, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.

10.22059/jibm.2024.379466.4822

Abstract

Objective
Banking stability plays a vital role in financing the economy in bank-based countries, as it supports the proper functioning of financial markets and helps the real sector achieve economic development. If the activities of the banking system are directed toward the optimal allocation of financial resources in the economy, they will be accompanied by financial development and lead to the flourishing of the country's economic capacities. Due to its role in money creation and its intermediary nature, the banking system faces various risks. If these risks are ignored and risk management is not implemented, bank runs may occur. When such risks become systemic and banking panic spreads across banks, a banking crisis can emerge, disrupting economic development and creating significant social and economic challenges. Therefore, to ensure banking soundness, supervisory institutions—primarily central banks in most countries—oversee the banking system, protect financial stability, and promote soundness through regulatory instruments.
 
Methodology
This study is applied in terms of its objective. First, by employing the PRISMA approach, bibliometric analysis, and text-mining tools, and using Harzing’s Publish or Perish version 8 software, it presents a comprehensive and up-to-date systematic review of the literature over the period 1975–2023. The analysis was conducted across three periods: before the Asian Financial Crisis (1975–1997), between the Asian Financial Crisis and the Global Financial Crisis (1998–2007), and after the Global Financial Crisis (2008–2023), based on 1,050 articles. Subsequently, the constituent elements of banking supervision were clustered using the Word Cloud, TermsBerry, and T-SNE tools available in Voyant.
 
Findings
In the present study, 100 statistical corpora were examined. In addition, the publication performance of documents in the field of banking supervision and regulation was investigated based on publication indicators, citation indicators, publication and citation indicators, field citation ratio, and relative citation ratio across the three periods mentioned above. The search was conducted using six keywords: financial stability, banking crisis, banking soundness, banking supervision, banking regulation, and the Basel Committee on Banking Supervision. Then, using a text-mining approach, six main clusters were identified: bank monitoring, capital and risk, banking regulation and regulators, banking supervision and supervisors, banking crisis, banking stability, and financial markets.
 
Conclusion
The roadmap designed for examining the concept of banking supervision is based on specialized terms that have the highest frequency in the scientific literature and contributes to greater clarity in the path of banking supervision. This helps avoid both insufficient attention or leniency in supervision, which may lead to banking crises, and excessive supervisory strictness, which can hinder financial development, thereby facilitating effective and efficient supervision of the banking system. Through bank monitoring and the assessment of bank capital and the associated risks, as well as through the rule-making and regulatory activities of the supervisory authority, banking supervision contributes to banking soundness and stability in financial markets and prevents the occurrence of banking crises at three levels: the financial institution level (micro level), the financial market level (macro level), and the international financial markets level (international level).

Keywords

References

 
Ahmed, F., Kousar, S., Pervaiz, A. & Shabbir, A.  (2022). Do institutional quality and financial development affect sustainable economic growth? Evidence from South Asian countries. borsa-istanbul-review, 22(1), 189-196.
Beck, T., Demirgüç-Kunt, A. & Levine, R. (2006). Bank supervision and corruption in lending. Journal of monetary Economics, 53(8), 2131-2163.
Bhuiyan, M. R. I. & Akter, M. S. (2024). Assessing the Potential Usages of Blockchain to Transform Smart Bangladesh: A PRISMA Based Systematic Review. Journal of Information Systems and Informatics, 6(1), 245-269.‏
Chortareas, G. E., Girardone, C. & Ventouri, A. (2012). Bank supervision, regulation, and efficiency: Evidence from the European Union. Journal of financial stability, 8(4), 292-302.
Choudhary, G. R. & Sharma, I. (2021). Open source text visualization tools: A comparative analysis. JIMS8I International Journal of Information Communication and Computing Technology, 9(2), 521-528.‏
Cranston, R. (2002). Principles of Banking Law. (2th ed.). Oxford University Press, USA.
Farhadian, A., Zangian, S. & Hemmati, A. (2023). Building a Successful Strategy for Industry 4.0: Identifying the Key Elements of Digital Maturity through Descriptive and Text Mining, Meta-Analysis Tools, Journal of Business Management, 22(2), 79-116. magiran.com/p2657430 (in Persian)
Feldman, R. & Sanger, J. (2007). The text mining handbook: advanced approaches in analyzing unstructured data. Cambridge university press.‏
Fohlin, C. (2024). Financial systems. In Handbook of cliometrics. Springer International Publishing.‏ 1453-1490
George, E. L. (2014). Supervisory frameworks and monetary policy. Journal of Economic Dynamics & Control, 49, 139–141.
Gibson, M. S. (1995). Can bank health affect investment? Evidence from Japan. Journal of Business, 281-308.
Globl Financial Stability Report (2019). IMF Working Paper, Oct.
Gogora, A. (2017). The text mining of ethics and information technology. Komunikácie-vedecké listy Žilinskej univerzity v Žiline, 19(1), 3-8.‏
Han, M. (2016). Central Bank Regulation and the Financial Crisis, A Comparative Analysis. Palgrave Macmillan Studies in Banking and Financial Institutions.
Hanazaki, M. & Horiuchi, A. (2003). Have Banks Contributed to Efficient Management in Japan's Manufacturing?.
Hirtle, B., Kovner, A. & Plosser, M. (2018). The Impact of Supervision on Bank Performance. Federal Reserve Bank of New York Staff Reports, 768.
Kálmán, J. (2023). The Concept of Financial Stability in Theory and Law. Financial and Economic Review, 22(2), 54-76.‏
Khalid, A., Malik, G. F. & Mahmood, K. (2021). Sustainable development challenges in libraries: A systematic literature review (2000–2020). The Journal of Academic Librarianship, 47(3).
Kirikkaleli, D. & Sofuoğlu, E. (2023). Does financial stability matter for environmental degradation?. Geological Journal, 58(9), 3268-3277.
Laeven, L. & Valencia, F. (2018). Systemic Banking Crises Revisited, IMF Working Paper, September.
Laeven, M. L. & Valencia, M. F. (2012). Systemic Banking Crises Database: An Update, IMF Working Paper, June.
Lamovsek, N. (2023). Analysis of Research on Artificial Intelligence in Public Administration: Literature Review and Textual Analysis. Central European Public Administration Review, 21 (2), 77-96.
Liu, B. (2011). Web data mining: Exploring hyperlinks, contents, and usage data (2nd ed). Heidelberg: Springer.
Metarref, A., Benlahbib, T. & Bahloul, L. (2024). The Impact of Good Governance Indicators on Economic Development-An Econometric Study of Arab Countries during the Period 1996-2017. Journal of Economic Growth, 7(1), 1-13.‏
Miller, A. (2018). Text mining digital humanities projects: Assessing content analysis capabilities of Voyant tools. Journal of Web Librarianship, 12(3), 169-197.‏
Miner, G. (2012). Practical text mining and statistical analysis for non-structured text data applications (1st ed). Waltham, MA: Academic Press.
Moenjak, T. (2018). Central Banking, Theory and Practice in Sustaining Monetary and Financial Stability. (Ahmad Azizi and Fatemeh Nourbakhsh, translators). Tehran: Monetary and Banking Research Institute Publications, Central Bank of the Islamic Republic of Iran. (in Persian)
Mohebbi, A., Rezaei, F., Beshkooh, M. & Kordestani, G. (2024). Boosting Economic Growth: A Model for Industries and Companies Combining Corporate Social Responsibility and Strategic Management Accounting. Journal of Business Management, 16(3), 641-666. doi: 10.22059/jibm.2024.378512.4807 (in Persian)
Nelson, A. P., Gray, R. J., Ruffle, J. K., Watkins, H. C., Herron, D., Sorros, N. & Nachev, P. (2022). Deep forecasting of translational impact in medical research. Patterns, 3(5).
Omar Bakar, H., Sulong, Z. & Chowdhury, M. A. F. (2022). The role of financial development on economic growth in the emerging market countries of the sub-Saharan African (SSA) region. International Journal of Emerging Markets, 17(3), 789-811.
Oosterloo, S., De Haan, J. & Jong-A-Pin, R. (2007). Financial stability reviews: A first empirical analysis. Journal of Financial Stability, 2(4), 337-355.
Orgeldinger, J. (2018). The Implementation of Basel Committee BCBS 239: Short analysis of the new rules for Data Management. Journal of Central Banking Theory and Practice, (3), 57-72.
Ozili, P. K. & Iorember, P. T. (2024). Financial stability and sustainable development. International Journal of Finance & Economics, 29(3), 2620-2646.
Ozili, P. K. (2024). Causes and consequences of the 2023 banking crisis. In Governance and Policy Transformations in Central Banking. 84-98.‏
Prochniak, M. & Wasiak, K. (2017). The impact of the financial system on economic growth in the context of the global crisis: empirical evidence for the EU and OECD countries. Empirica, 44, 295-337.
Salloum, S. A., Al-Emran, M., Monem, A. A. & Shaalan, K. (2018). Using text mining techniques for extracting information from research articles. Intelligent natural language processing: Trends and Applications, 373-397.
Schubert, A. (2023). The Irish financial crisis of 2007–2010. In Elgar Encyclopedia of Financial Crises. Edward Elgar Publishing.‏ 420-423.
Shaker, R. & Hussain, M.A. (2018). Enforcing Green Technology of Selected Organizations in Bahrain. Jour of Adv Research in Dynamical & Control Systems, 10 (14).
Taghavi, M., Mohammadi, T., Shakeri, A. & Nasr Esfahani (2015). Financial Structure-Economic Growth Nexus in Mena Countries: Evidence from Panel Data Approach. Modiriat – e – Farda, 14(43), 1-10. (in Persian)
‏Todaro, M. P. & Smith, S.C. (2012). Economic development. (11th ed).
Vinals, J.  & Fiechter, J. (2010). The Making of Good Supervision: Learning to Say “No”. IMF, Monetary and Capital Markets Department.
Wang, T., Chen, P., Rochford, J. & Qiang, J. (2016). Text simplification using neural machine translation. In Proceedings of the AAAI Conference on Artificial Intelligence, 30, (1).
 
Journal of Business Management
Volume 18, Issue 2
2026
Pages 545-576

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