Journal Screenshot

International Journal of Academic Research in Accounting, Finance and Management Sciences

Open Access Journal

ISSN: 2225-8329

Systemic Sustainability of European Banking Activity: A Multi- Perspective Approach

Ionut – Daniel Pop

http://dx.doi.org/10.6007/IJARAFMS/v9-i3/6326

Open access

This paper proposes a multi – perspective approach for testing the banking sustainability in Europe, with a focus on the relationships between economic cycles, stock exchange market evolution and banking risks. More precisely, we examine the key drivers of banking profitability, non-performing loans rate, system solvency and economic growth based on banking and macroeconomic information. Our empirical analysis reveals the limitations of the existing risk models when it comes to efficiently identifying the main factors that generate massive losses for the banking industry. We report robust estimates indicating that capital level for covering banking risks should be increased. Furthermore, we bring strong empirical evidence revealing that capital market evolution exerts an important impact on banking stability. Our findings have serious policy influences and our proposals are made up of adjustments on the current European regulatory laws. In our opinion, national and European authorities should consider similar multi – approaches for banking risk evaluation in order to make relevant decisions that will eventually prevent further financial crises.

1. Anghelache, G., Oanea, D.C. (2014). Main Romanian Banks’ Systemic Risk during Financial Crisis: A COVAR Approach. The Review of Finance and Banking, 06, 2, 69 – 80.
2. Anghelache, G., Oanea, D.C. (2016). Romanian Commercial Banks’ Systemic Risk and Its Determinants: A CoVAR Approach, International Journal of Academic Research in Accounting, Finance and Management Sciences. Vol. 6, No. 3, July 2016, pp. 96–109.
3. Arellano, M., Bover, O. (1995). Another look at the instrumental variable estimation of error-components models, Journal of Economics. 68, 29–51.
4. Baltagi, H.B. (2005). Econometric Analysis of Panel Data, in John Wiley & Sons, Ltd, Third Edition.
5. Barbu, T.C., Boitan, I. (2018). Confidence in European Retail Banking: Assessing Relationship with Economic Fundamentals. Ekonomicky Casopis, 66, 2, 181 – 198.
6. Brad. L., Muntenu, A., Dobre, F., Ciobanu, R, (2013). Quantifying the Romanian Banks’ Performance and the Impact of Audit Inspections upon Them when IFRS Reporting Standards is Used. In Proceedings of the 8th International Conference Accounting and Management Information Systems, AMIS 2013, pp 271-283. Available online: http://www.cig.ase.ro/amis2013/fisiere/amis2013.pdf (accessed on 22 December 2018).
7. Cepoi, C.O., Toma, F.M. (2016). Estimating Probability of Informed Trading on the Bucharest Stock Exchange. Finance A Uver-Czech Journal of Economics and Finance, Vol. 66, No. 2, pp. 140-160.
8. Damian, V.C, Cepoi, C.O. (2016). Volatility Estimators with High-Frequency Data from Bucharest Stock Exchange. Economic Computation and Economic Cybernetics Studies and Research, Vol. 50, No. 3, 2016, pp. 247-264.
9. Dimitrios, A., Helen, L., Mike, T. (2016). Determinants of non-performing loans: Evidence from Euro-area countries. Finance Research. Letters, 18, 116-119.
10. Duffie, D., Singleton, K. (2001). Credit Risk. Pricing, Measurement, and Management. Princeton University Press, Princeton and Oxford.
11. Eichler, S., Maltritz, D. (2013). The term structure of sovereign default risk in EMU member countries and its determinants. Journal of Banking and Finance, 37, 1810 – 1816.
12. Enciu, A., Cioac?, S.I. (2017). Is the Capital Market Important for the Economic Growth in the EU? Annals of Faculty of Economics, 26, 1, 315 – 324.
13. Erdinç, D., Abazi, E. (2014) The Determinants of NPLs in Emerging Europe, 2000-2011. Journal of Economics and Political Economy, 1, 112-125.
14. Fiala, T., Havranek, T. (2017). The sources of contagion risk in a banking sector with foreign ownership. Economic Modeling, 60, 108 – 121.
15. Fofack, H. (2005). Nonperforming loans in Sub-Saharan Africa: causal analysis and macroeconomic implications (English). Policy, Research working paper; no. WPS 3769. Washington, DC: World Bank.
16. Gao, Q., Fan, H., Jiang, S. (2019). Macroprudential Regulation for the Chinese Banking Network System with Complete and Random Structures. Sustainability, 11, 69.
17. Ghosh, A. (2015). Banking-industry specific and regional economic determinants of nonperforming loans: Evidence from US states. Journal of Financial Stability, 20, 93-104.
18. Gómez-Fernández-Aguado, P., Parrado-Martínez, P., Partal-Ureña, A. (2018). Risk Profile Indicators and Spanish Banks’ Probability of Default from a Regulatory Approach. Sustainability, 10, 1259.
19. Guidara, A., Lai, V.S., Soumaré, I., Tchana Tchana F. (2013). Banks’ capital buffer, risk and performance in the Canadian banking system: Impact of business cycles and regulatory changes. Journal of Banking and Finance, 37, 3373- 3387.
20. Hausman, J.A., and W E Taylor (1981). Panel data and unobservable individual effects. Econometrica, 49:1377-1398.
21. Im, K.S., Pesaran, M.H., and Shin, Y., (1997). Testing for Unit Roots in Heterogenous Panels. DAE, Working Paper 9526, University of Cambridge.
22. Jaradat, M. A., ALkhazaleh, M. H. A. (2018). The Effect of Liquidity, Administrative Efficiency and Capital Adequacy on the Profitability of Jordanian Bank

To cite this article: Pop, I.-D. (2019). Systemic Sustainability of European Banking Activity: A Multi- Perspective Approach, International Journal of Academic Research in Accounting, Finance and Management Sciences 9 (3): 54-63