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Predicting banking distress in the EMEAP economies

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  • Wong, Jim
  • Wong, Tak-Chuen
  • Leung, Phyllis

Abstract

This study develops a panel probit model to identify the leading indicators of banking distress and to estimate the banking distress probability for EMEAP economies. Macroeconomic fundamentals, currency crisis vulnerability, credit risks of banks and non-financial companies, asset price gaps, credit growth, and the occurrence of distress in other economies are found to be important leading indicators. The model is applied to stress test the Hong Kong banking sector. Simulation results suggest that compared with the period before the Asian financial crisis, the banking sector is currently more capable of withstanding shocks similar to those that occurred during the crisis.

Suggested Citation

  • Wong, Jim & Wong, Tak-Chuen & Leung, Phyllis, 2010. "Predicting banking distress in the EMEAP economies," Journal of Financial Stability, Elsevier, vol. 6(3), pages 169-179, September.
  • Handle: RePEc:eee:finsta:v:6:y:2010:i:3:p:169-179
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    4. Mr. Kasper Lund-Jensen, 2012. "Monitoring Systemic Risk Basedon Dynamic Thresholds," IMF Working Papers 2012/159, International Monetary Fund.
    5. Maghyereh, Aktham I. & Awartani, Basel, 2014. "Bank distress prediction: Empirical evidence from the Gulf Cooperation Council countries," Research in International Business and Finance, Elsevier, vol. 30(C), pages 126-147.
    6. Abad-González, Julio & Gutiérrez-López, Cristina, 2016. "Modelización de la solvencia bancaria en escenarios adversos: aplicación a los «PIIGS»," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(2), pages 227-238.
    7. Bo Jiang & Bruce Philp & Zhongmin Wu, 2018. "Macro stress testing in the banking system of China," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(4), pages 287-298, November.
    8. Yulita Wulandari & Musdholifah & Suhal Kusairi, 2017. "The Impact of Macroeconomic and Internal Factors on Banking Distress," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 429-436.
    9. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
    10. Kamila Tomczak, 2023. "Transmission of the 2007–2008 financial crisis in advanced countries of the European Union," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 40-64, January.
    11. Muhammad Iqbal & Hadri Kusuma & Sunaryati Sunaryati, 2022. "Vulnerability of Islamic banking in ASEAN," Islamic Economic Studies, Emerald Group Publishing Limited, vol. 29(2), pages 159-168, May.
    12. Mahir Binici & Aytül Ganioglu, 2021. "Net external position, financial development, and banking crisis," Empirical Economics, Springer, vol. 61(3), pages 1225-1251, September.
    13. Qin, Xiao & Luo, Chengying, 2014. "Capital account openness and early warning system for banking crises in G20 countries," Economic Modelling, Elsevier, vol. 39(C), pages 190-194.
    14. Campbell, Gareth & Coyle, Christopher & Turner, John D., 2016. "This time is different: Causes and consequences of British banking instability over the long run," Journal of Financial Stability, Elsevier, vol. 27(C), pages 74-94.
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    18. Li Xian Liu & Shuangzhe Liu & Milind Sathye, 2021. "Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    19. Giovanni Caggiano & Pietro Calice & Leone Leonida, 2013. "Working Paper 190 - Early Warning Systems and Systemic Banking Crises in Low Income Countries: A Multinomial Logit Approach," Working Paper Series 993, African Development Bank.
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