Main Article Content

Abstract

This qualitative study explores the dynamics of financial risk management, specifically focusing on credit, market, and operational risks within the banking, investment, and corporate sectors. The research investigates the interconnected nature of these risks, their implications for risk management practices, and their impact on systemic stability. The research methodology involves a comprehensive review of existing literature and qualitative interviews with experts in the field. Thematic analysis is employed to identify recurring themes and patterns within the data. The findings highlight the intricate interconnections between different types of risks and underscore the importance of adopting integrated risk management frameworks. The analysis shows that events associated with one kind of risk can have far-reaching implications for others, amplifying overall risk exposures and vulnerabilities. The study emphasizes the need for a holistic approach to risk management that considers the interdependencies between credit, market, and operational risks. The implications for risk management practices, regulatory frameworks, and systemic stability are discussed, highlighting the significance of enhancing operational resilience and promoting collaboration between academia, industry, and regulatory bodies. Overall, the research contributes to a deeper understanding of financial risk dynamics and provides insights for enhancing risk management practices within the economic system.

Keywords

Financial Risk Management Credit Risk Market Risk Operational Risk Systemic Stability

Article Details

How to Cite
Sapiri, M. (2025). Understanding Financial Risk Dynamics: A Qualitative Inquiry into Credit, Market, and Operational Risks in Banking, Investment, and Corporate Sectors. Golden Ratio of Data in Summary, 5(2), 182–192. https://doi.org/10.52970/grdis.v5i2.719

References

  1. Acemoglu, D., Akcigit, U., Bloom, N., Kerr, W. R., & Stanton, C. (2021). Productivity and innovation in response to crisis. American Economic Association Papers and Proceedings, 111, 1-6. https://doi.org/10.1257/pandp.20211120
  2. Acharya, V., Engle, R., & Richardson, M. (2009). Capital shortfall: A new approach to ranking and regulating systemic risks. American Economic Review, 99(2), 59–64. https://doi.org/10.1257/aer.99.2.59
  3. Acharya, V., Engle, R., & Richardson, M. (2017). Capital shortfall: A new approach to ranking and regulating systemic risks. American Economic Review, 107(5), 426–30. https://doi.org/10.1257/aer.p20171007
  4. Antweiler, W., & Frank, M. Z. (2004). Is all that talk just noise? The information content of internet stock message boards. The Journal of Finance, 59(3), 1259-1294. https://doi.org/10.1111/j.1540-6261.2004.00662.x
  5. Bank for International Settlements. (2019). 89th annual report. https://www.bis.org/publ/arpdf/ar2019e.htm
  6. Basel Committee on Banking Supervision. (2010). Basel III: A global regulatory framework for more resilient banks and banking systems. https://doi.org/10.1787/9789264113064-6-en
  7. Basel Committee on Banking Supervision. (2011). Principles for the sound management of operational risk. https://doi.org/10.1787/9789264113064-7-en
  8. Ben-Ahmed, H. (2023). Interactions between credit and liquidity risks: Evidence from international banks. Journal of Financial Stability, 56, 100962. https://doi.org/10.1016/j.jfs.2023.100962
  9. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327. https://doi.org/10.1016/0304-4076(86)90063-1
  10. Borio, C. (2011). Implementing the macroprudential approach to financial regulation and supervision. Bank for International Settlements Working Papers, 337, 1–6. https://doi.org/10.2139/ssrn.1798022
  11. Butler, N. (2023). A paradigm shift in operational risk management: From loss events to predictive analytics. Journal of Operational Risk, 18(1), 21–34. https://doi.org/10.21314/JOP.2023.249
  12. Chapelle, A., Crama, Y., & Hübner, G. (2018). Integrated risk management for pension funds: A dynamic programming approach. European Journal of Operational Research, 271(1), 368-383. https://doi.org/10.1016/j.ejor.2018.02.020
  13. Chen, S., Wang, Y., & Hsieh, P. (2020). Credit scoring with ensemble learning: A comparative study. Journal of Banking & Finance, 112, 105879. https://doi.org/10.1016/j.jbankfin.2020.105879
  14. Crouhy, M., Galai, D., & Mark, R. (2000). Risk management. McGraw-Hill Professional.
  15. Drezner, D. W. (2019). Theories of international politics and zombies. Princeton University Press.
  16. Duffie, D. (2010). Dynamic asset pricing theory. Princeton University Press.
  17. Economist Intelligence Unit. (2019). Predictive analytics for operational risk management. https://www.eiuperspectives.economist.com/sites/default/files/EIU%20Perspectives%20Predictive%20analytics%20for%20operational%20risk%20management%20-%20FINAL.pdf
  18. Engle, R. F. (2001). GARCH 101: The use of ARCH/GARCH models in applied econometrics. Journal of Economic Perspectives, 15(4), 157–168. https://doi.org/10.1257/jep.15.4.157
  19. Helleiner, E. (2014). The status quo crisis: Global financial governance after the 2008 meltdown. Oxford University Press.
  20. Hillson, D. (2012). Understanding and managing risk attitude. Gower Publishing Ltd.
  21. Hussain, M. E. (2000). Financial sector reforms and monetary policy in Pakistan. Journal of Economic Cooperation, 21(3), 53–82. https://www.jec.co.jp/eng/pdf/21-3_3.pdf
  22. IPCC. (2021). Climate change 2021: The physical science basis. https://www.ipcc.ch/report/ar6/wg1/
  23. Jiang, Y., He, Y., & Li, S. (2021). Incorporating macroeconomic factors into structural credit risk models: Evidence from China. Pacific-Basin Finance Journal, 66, 101660. https://doi.org/10.1016/j.pacfin.2021.101660
  24. Kwan, S. H., & Eisenbeis, R. A. (1997). Bank risk, capitalization, and operating efficiency. Journal of Financial Services Research, 12(2), 117-131. https://doi.org/10.1023/A:1007990819582
  25. Levinson, A., & Mistrulli, P. E. (2019). Integrating stress tests within the Basel III capital framework: A macroprudential coherent approach. Journal of Financial Stability, 43, 100828. https://doi.org/10.1016/j.jfs.2019.05.001
  26. Mallin, C., Melis, A., & Gaia, S. (2013). European corporate governance. Routledge.
  27. McNeil, A. J., Frey, R., & Embrechts, P. (2005). Quantitative risk management: Concepts, techniques, and tools. Princeton University Press.
  28. Nicoletti, C., Vincze, R., & Fusai, G. (2021). A multi-scenario approach for operational risk stress testing. European Journal of Operational Research, 290(2), 643-654. https://doi.org/10.1016/j.ejor.2020.08.050
  29. O'Donnell, E., McCarthy, M., & O'Regan, P. (2018). Operational risk management in financial services. Springer.
  30. Petersen, M., Pedersen, T., Haugland, S. A., & Heinimann, H. R. (2017). Managing operational risk: Practical strategies to identify and mitigate operational risk within financial institutions. John Wiley & Sons.
  31. Safadi, R., & Howard, D. H. (2018). Geopolitical risk: An overview and implications for business decisions. Business Horizons, 61(4), 583–592. https://doi.org/10.1016/j.bushor.2018.04.006
  32. Sironi, A. (2020). Fintech and banking: Friends or foes? Journal of Banking & Finance, 113, 105772. https://doi.org/10.1016/j.jbankfin.2019.105772
  33. Sreedhar, C. (2016). Risk management in the Indian banking sector. IUP Journal of Risk & Insurance, 13(1), 38–48. https://www.iupindia.in/161/IJR%20RB/Risk_Management_in_Indian_Banking_Sector_38.html
  34. Tarashev, N., Borio, C., & Tsatsaronis, K. (2014). Attributing systemic risk to individual institutions. International Journal of Central Banking, 10(1), 5–46. https://doi.org/10.2139/ssrn.2334752
  35. Woods, M. (2015). Operational risk management: A practical approach to intelligent data analysis. John Wiley & Sons.
  36. Woods, M. (2016). Cyber risk management in the financial services industry. Routledge.
  37. Zhang, G., Tian, Y., & Lai, K. K. (2019). Social network, information discovery, and credit allocation: Evidence from peer-to-peer lending. Management Science, 65(3), 975–992. https://doi.org/10.1287/mnsc.2017.3010

Similar Articles

1 2 3 4 5 6 7 8 9 > >> 

You may also start an advanced similarity search for this article.