ISSN: 2222-6990
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The significant economic effects of multiple financial crises have necessitated the development of tools for measuring financial stress. This study constructed financial stress indices for four sub-markets — banking, bonds, stocks, and foreign exchange —and for China and the ASEAN-4 economies (Malaysia, Singapore, the Philippines, and Indonesia) from November 2006 to February 2024. The methodology primarily employed a dynamic CRITIC weighting method to analyze and integrate eight indicators across four sub-markets and compare it with the traditional static methods. This proposed model can consistently capture the correlation among submarkets. This feature is particularly important during a crisis, as banks and foreign-exchange risks often become more closely intertwined, making the index more suitable for emerging markets. In addition, it conducted a comparative analysis of financial stress dynamics between China and the four ASEAN countries over 18 years, revealing distinct risk characteristics: the evolution of stress in China is relatively smooth, whereas that in ASEAN economies is more sensitive to global capital flows and liquidity shocks. The empirical results demonstrate that dynamic weighting is an alternative tool for tracking financial stress during periods of heightened market turbulence.
Abiad, A., Balakrishnan, R., Brooks, P. K., Leigh, D., & Tytell, I. (2009). What’s the damage? Medium-term output dynamics after banking crises (IMF Working Paper No. WP/09/245). International Monetary Fund (IMF). https://doi.org/10.5089/9781451873924.001
Albagli, E., Ceballos, L., Claro, S., & Romero, D. (2018, May 25–26). Channels of US monetary policy spillovers to international bond markets (BIS Working Papers No. 719). Bank for International Settlements. https://www.bis.org/publ/work719.pdf
Balakrishnan, R., Danninger, S., Elekdag, S., & Tytell, I. (2011). The transmission of financial stress from advanced to emerging economies. Emerging Markets Finance and Trade, 47(Sup2), 40–68. https://doi.org/10.2753/REE1540-496X4703S203
Billio, M., Lo, A. W., Sherman, M. G., & Pelizzon, L. (2012). Econometric measures of connectedness and systemic risk in the finance and insurance sectors. Journal of Financial Economics, 104(3), 535–559. https://doi.org/10.1016/j.jfineco.2011.12.010
Borio, C. The Covid-19 economic crisis: Dangerously unique. (2020). Business Economics, 55, 181–190. https://doi.org/10.1057/s11369-020-00184-2
Cardarelli, R., Elekdag, S., & Lall, S. (2011). Financial stress and economic contractions. Journal of Financial Stability, 7(2), 78–97. https://doi.org/10.1016/j.jfs.2010.01.005
Chan-Lau, J. A., Wynn, M., & Nguyen, H. N. (2024). Financial stress in ASEAN+3 economies: Risk regime identification and predictability. SSRN Working Paper. https://doi.org/10.2139/ssrn.5008873
Chen, Q., Filardo, A., He, D., & Zhu, F. (2015). Monetary policy normalization and spillovers in emerging markets (BIS Working Paper No. 494). Bank for International Settlements. https://www.bis.org/publ/work494.htm
Dahalan, N., Ibrahim, N. H., & Yunus, R. M. (2016). Measuring financial stress index for Malaysian economy. International Journal of Economics and Financial Issues, 6(3), 1082–1093. https://www.econjournals.com/index.Philippines/ijefi/article/download/2582/pdf/7489
Demir, E., & Danisman, G. O. (2021). Banking sector reactions to COVID-19: The role of bank-specific factors and government policy responses. Research in International Business and Finance, 58, 101508. https://doi.org/10.1016/j.ribaf.2021.101508
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763–770. https://doi.org/10.1016/0305-0548(94)00059-H
Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119–134. https://doi.org/10.1016/j.jeconom.2014.04.012
Eickmeier, S., Gambacorta, L., & Hofmann, B. (2014). Understanding global liquidity. European Economic Review, 68, 1–18. https://doi.org/10.1016/j.euroecorev.2014.01.015
Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. https://doi.org/10.2307/1912773
Hakkio, C. S., & Keeton, W. R. (2009). Financial stress: What is it, how can it be measured, and why does it matter? Economic Review, 94(2), 5–50. Federal Reserve Bank of Kansas City. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=c30712e68bfb068e718a96d0f91fd682431a051d
International Monetary Fund. (2020). World Economic Outlook, April 2020: The Great Lock down. https://www.imf.org/en/Publications/WEO/Issues/2020/04/14/weo-april-2020
Illing, M., & Liu, Y. (2006). Measuring financial stress in a developed country: An application to Canada. Journal of Financial Stability, 2(3), 243–265. https://doi.org/10.1016/j.jfs.2006.06.002
Izzuddin, A., & Nainggolan, Y. A. (2025). Do climate risks contribute to financial system stress? The case of ASEAN-5 countries. Sustainability Accounting, Management and Policy Journal, 16(6), 1589–1624. doi: https://doi.org/10.1108/SAMPJ-06-2024-0596
Jolliffe, I. (2005). Principal component analysis. In Encyclopedia of statistics in behavioral science. Wiley. https://doi.org/10.1002/0470013192.bsa501Digital Object Identifier.
Kaminsky, G., Lizondo, S., & Reinhart, C. M. (1997). Leading indicators of currency crises. IMF Working Paper No.97/79. https://doi.org/10.5089/9781451955866.001
Li, X., Liang, C., & Ma, J. (2023). Financial stress spillover network across Asian countries in the context of COVID-19. Applied Economics Letters, 30(7), 965–974. DOI: 10.1080/13504851.2022.2030852
Li, Y., & Zhang, M. (2021). Comparative study of systemic financial risks and internal contagion effects in China and the United States. Journal of Yunnan University of Finance and Economics, 37(5), 50-62. https://doi.org/10.16537/j.cnki.jynufe.000694
Ozcelebi, O. (2020). Assessing the Impacts of financial stress index of developed countries on the exchange market pressure index of emerging countries. International Review of Economics & Finance, 70, 288–302. https://doi.org/10.1016/j.iref.2020.07.012
Padhy, J., Bathia, A., Jain, M., Sejpal, K., Patel, M. Z., Suneja, S., & Shrivasta, S. (2025). Comparative analysis of government bonds of emerging vs. developed economies: Monte Carlo VaR. International Journal of Economics Practices and Theories, 2025(1), 170–177. https://www.ijapt.org/index.php/journal/article/view/28/24
Poonpatpibul, C., Tan, A., Xinyi, S. L., & Choo, E. (2018). Assessing financial stress in China, Japan, Korea and ASEAN-5 economies. The ASEAN+3 Macroeconomic Research Office (AMRO) Working Paper WP/18-02. https://amro-asia.org/wp-content/uploads/dlm_uploads/2018/11/WP18-02_Assessing-Financial-Stress-in-China-Japan-Korea-and-ASEAN-5-Economies.pdf
Qin, X., Luo, M., Huang, X., & He, J. (2022). woguo xitongxing jinrong fengxian yujing yanjiu--jiyu shibian CRITIC fuquanfa he ADASYN-SVM fangfa [Research on systemic financial risk early warning in China: Based on time-varying CRITIC weighting method and ADASYN-SVM method]. jinrong jiandu yanjiu,2022(09), 93-114. https://doi.org/10.13490/j.cnki.frr.2022.09.006
Sadia, H., Bhatti, A. A., & Azeez, J. A. (2022). Determinants of financial stress: Panel data analysis of emerging countries. Business and Economic Review, 14(2), 57–78. doi:10.22547/BER/14.2.3
Tan, B., Gan, Z., & Wu, Y. (2023). The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China. Expert Systems with Applications, 227, 120375. https://doi.org/10.1016/j.eswa.2023.120375
Tng, B. H., Kwek, K. T., & Sheng, A. (2012). Financial stress in ASEAN-5 economies from the Asian crisis to the global crisis. The Singapore Economic Review, 57(02), 125–130. https://doi.org/10.1142/S0217590812500130
Wang, Y., & Xi, W. (2025). Measurement and early warning of systemic financial risk in China: Markov switching models. Computational Economics, 66, 5083–5111. https://doi.org/10.1007/s10614-025-10873-9
Zhang, Y., Li, M., & Li, L. (2023). Dynamic transmission of systemic financial risk among China’s internal markets. Shehuikexuezhanxian, 2023(3), 70–79.
Zhu, Z., & Jiang, B. (2024). Construction and application of China’s financial stress index based on dynamic CRITIC weighting method and financial risk identification. Finance & Economics of Xinjiang, 2024(1), 21–33. doi:10.16716/j.cnki.65-1030/f.2024.01.003
Shan, F., & Law, C.-H. (2026). Assessing Financial Stress in China and ASEAN-4 Economies. International Journal of Academic Research in Business and Social Sciences, 16(3), 1423-1454.
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