Developing a Composite Financial Health Index for Banking Stability: A PCA-Based Approach in an Oil-Dependent Economy
Keywords:
Financial Health Index, PCA, Banking Stability, Composite Indicator, Emerging EconomiesAbstract
This study aimed to develop and validate a Principal Component Analysis (PCA)-based Composite Financial Health Index (CFHI) for Iraqi commercial banks and to examine its association with oil price volatility, economic growth, and inflation during 2010–2024. A quantitative longitudinal design was employed using a balanced panel of 18 Iraqi commercial banks observed over 15 years, yielding 270 bank-year observations. The core CFHI was constructed from capital adequacy ratio, non-performing loans, return on assets, liquidity ratio, and portfolio concentration. Variables were winsorized, directionally harmonized, standardized using z-scores, and subjected to PCA. Sampling adequacy was assessed using the Kaiser–Meyer–Olkin statistic and Bartlett’s test of sphericity. Components were retained based on eigenvalues greater than one, cumulative explained variance, and scree-plot inspection. Component scores were weighted according to explained variance to construct the CFHI. Fixed-effects panel regression was then used to assess the effects of oil price volatility, GDP growth, and inflation on financial health. Validity and robustness were examined through correlations, alternative PCA specifications, sensitivity tests, and predictive analysis. PCA adequacy was confirmed by a KMO value of 0.742 and a significant Bartlett’s test, (chi2(10)=512.684, p<0.001). Two components were retained and explained 71.18% of total variance. CFHI was positively associated with capital adequacy (r=0.674, p<0.001), profitability (r=0.698, p<0.001), and liquidity (r=0.533, p<0.001), and negatively associated with non-performing loans (r=-0.721, p<0.001) and portfolio concentration (r=-0.586, p<0.001). Fixed-effects estimates showed that oil price volatility negatively affected CFHI (beta=-0.031, p<0.001), GDP growth had a positive effect (beta=0.047, p<0.001), and inflation had a negative effect (beta=-0.058, p=0.006). A one-standard-deviation increase in CFHI reduced subsequent distress odds by 46% (OR=0.54, 95% CI: 0.39–0.75). The PCA-based CFHI provides a statistically robust and economically interpretable measure of multidimensional banking stability in Iraq and demonstrates that bank financial health is materially influenced by oil-market volatility and broader macroeconomic conditions.
References
Acharya, V. V., Pedersen, L. H., Philippon, T., & Richardson, M. (2010). Measuring Systemic Risk. Review of Financial Studies, 23(7), 2685-2732. https://doi.org/10.26509/frbc-wp-201002
Aggarwal, R., Klapper, L., & Wysocki, P. D. (2009). Portfolio Preferences of Foreign Institutional Investors. Journal of Banking & Finance, 33(3), 497-510.
Aidi, A., Setiawan, T. W., Junaidi, A., Budiwaluyo, A., & Agoestyowati, R. (2022). Analysis of Financial Health Level Using the Z-Score (Altman) Method in Transportation Companies Listed on the Indonesia Stock Exchange for the 2019-2021 Period. Ilomata International Journal of Tax and Accounting, 3(4), 461-473. https://doi.org/10.52728/ijtc.v3i4.605
Athanasoglou, P. P., Brissimis, S. N., & Delis, M. D. (2008). Bank-Specific, Industry-Specific and Macroeconomic Determinants of Bank Profitability. Journal of International Financial Markets, Institutions and Money, 18(2), 121-136. https://doi.org/10.1016/j.intfin.2006.07.001
Barati, M., Qandahari, M. T., & Mohtari, M. (2024). Identifying financial health indicators based on good governance in government organizations. Accounting and Management Perspectives, 7(89), 130-139. https://www.jamv.ir/article_198075.html
Barr, R. S., Seiford, L. M., & Siems, T. F. (2002). Forecasting Bank Failure: A Non-Parametric Frontier Estimation Approach. Journal of Economics and Business, 54(3), 275-291.
Beck, T., Degryse, H., & Kneer, C. (2013). Is More Finance Better? Disentangling Intermediation and Size Effects of Financial Systems. Journal of Financial Stability, 10(1), 50-64. https://doi.org/10.1016/j.jfs.2013.03.005
Clarkson, B. G., Plumley, D., & Wilson, R. (2023). Money troubles and problems ahead? The financial health of professional women's football clubs in England. Sport, Business and Management: An International Journal, 13(5), 563-585. https://doi.org/10.1108/SBM-10-2022-0088
Demirguc-Kunt, A., & Detragiache, E. (2002). Does Deposit Insurance Increase Banking System Stability? An Empirical Investigation. Journal of Monetary Economics, 49(7), 1373-1406. https://doi.org/10.1016/S0304-3932(02)00171-X
Fachrudin, K. A. (2021). Insolvency and Financial Health Prediction Model for the Listed Companies on the Indonesia Stock Exchange. Jurnal Akuntansi & Auditing Indonesia, 25(1), 24-32. https://doi.org/10.20885/jaai.vol25.iss1.art3
Flannery, M. J. (1998). Using Market Information in Prudential Bank Supervision: A Review of the U.S. Empirical Evidence. Journal of Money, Credit and Banking, 30(3), 273-305. https://doi.org/10.2307/2601102
Hoseini Soreh, M., & Molaei Qolanjie, I. (2021). The Relationship Between Trade Credit and Financial Health with Investment Efficiency in Companies Listed on the Tehran Stock Exchange. Journal of New Research Approaches in Management and Accounting, 5(19), 642-662. https://ensani.ir/fa/article/493941/
Karpac, D., & Bartošová, V. (2021). Prediction of Financial Health of Business Entities of Selected Sector Using Balance Analysis II. By Rudolf Doucha and Verification of Its Predictive Ability Through ROC. SHS Web of Conferences, 91, 01006. https://doi.org/10.1051/shsconf/20219101006
Klontz, B., Kahler, R., & Klontz, T. (2016). Facilitating Financial Health: Tools for Financial Planners, Coaches, and Therapists (2nd ed.). The National Underwriter Company.
La Porta, R., Lopez-de-Silanes, F., Shleifer, A., & Vishny, R. (1998). Law and Finance. Journal of Political Economy, 106(6), 1113-1155. https://doi.org/10.1086/250042
Love, I., & Turk Ariss, R. (2014). Macro-Financial Linkages in Egypt: A Panel Analysis of Economic Shocks and Loan Portfolio Quality. Journal of International Financial Markets, Institutions and Money, 28(1), 158-181. https://doi.org/10.1016/j.intfin.2013.10.006
Mom, R., & Linh, N. T. P. (2025). The Role of Financial Health in Predicting Long-Term Performance in Selected Industries in Thailand. Hum. Behav. Dev. Soc., 26(2), 329-343. https://doi.org/10.62370/hbds.v26i2.281509
Papík, M., & Papíková, L. (2023). Impact of Gender Diversity Boards on Financial Health SMEs. In International Conference on Applied Economics (pp. 729-740). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49105-4_41
Parker, S., Castillo, N., Garon, T., & Levy, R. (2016). Eight ways to measure financial health. Chicago: Center for Financial Services Innovation. https://s3.amazonaws.com/cfsi-innovation-files-2018/wp-content/uploads/2016/05/09212818/Consumer-FinHealth-Metrics-FINAL_May.pdf
Pinder-Ayres, B. (2019). Planning the Financial Health of the Practice. 21-29. https://doi.org/10.4324/9780429346576-3
Rose, P. S., & Hudgins, S. C. (2015). Bank Management and Financial Services (9th ed.). McGraw-Hill Education.
Vavrek, R., Kravčáková Vozárová, I., & Kotulič, R. (2021). Evaluating the financial health of agricultural enterprises in the conditions of the Slovak Republic using bankruptcy models. Agriculture, 11(3), 242. https://doi.org/10.3390/agriculture11030242
Zhang, Y., Li, K., & Huang, J. (2024). Do Female-Headed Households Have Poorer Financial Health Compared to Male-Headed Households? Evidence From China. International Journal of Population Studies, 11(2), 95. https://doi.org/10.36922/ijps.4403
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