Analyzing the effect of bank performance on stock price returns: empirical evidence from European high-income countries
-
DOIhttp://dx.doi.org/10.21511/bbs.19(3).2024.18
-
Article InfoVolume 19 2024, Issue #3, pp. 217-229
- 186 Views
-
44 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Banking performance has developed rapidly accompanied by technological advances that can simplify banking services and transactions by adopting a priority scale aimed at identifying dynamically moving stock price returns and exploring banking quality and capacity as a manifestation of well-organized bank performance. This research aims to determine the effect of bank performance on stock price returns in European high-income countries. The analysis of the panel data method using the Common Effect Model (CEM) approach is considered capable of answering the objectives of this research. Research data were obtained from the World Bank and International Monetary Fund for 10 European countries (Denmark, Finland, France, Italy, Norway, Poland, Spain, Sweden, Switzerland and the UK) from 2002 to 2021. The research results prove that return on assets significantly affects stock price returns, while bank deposits to GDP, bank branches per 100,000 adults, and bank Z-score do not significantly affect stock returns. The control variables: exchange rate and interest rates do not significantly affect stock prices. The results of this research provide empirical evidence that bank performance through return on assets tends to have a positive impact on share price returns, which indicates that investors pay attention to this indicator. These findings underline the importance of bank management, and macroeconomic conditions and monetary policy must be considered in a broader context to provide long-term benefits for shareholders through overall market trust mechanisms so that high stock price returns can be achieved.
- Keywords
-
JEL Classification (Paper profile tab)G10, G21, E43
-
References59
-
Tables5
-
Figures0
-
- Table 1. Bank performance variables
- Table 2. Chow test
- Table 3. Hausman test
- Table 4. Lagrange multiplier test
- Table 5. Panel data estimation result
-
- Ahmed, W. M. A. (2020). Asymmetric impact of exchange rate changes on stock returns: evidence of two de facto regimes. Review of Accounting and Finance, 19(2), 147-173.
- Akinmade, B., Adedoyin, F. F., & Bekun, F. V. (2020). The impact of stock market manipulation on Nigeria’s economic performance. Journal of Economic Structures, 9(1).
- Akther, T., Rahman, M., & Rahman, M. M. (2023). Factors influencing commercial bank profitability in Bangladesh: a panel data approach. Future Business Journal, 9(1).
- Alam, S. M. S., Chowdhury, M. A. M., & Razak, D. B. A. (2021). Research evolution in banking performance: a bibliometric analysis. Future Business Journal, 7(1), 1-19.
- Alexiou, C., Vogiazas, S., & Nellis, J. G. (2018). Reassessing the relationship between the financial sector and economic growth: Dynamic panel evidence. International Journal of Finance and Economics, 23(2), 155-173.
- Andriansyah, A. (2017). The real effects of primary and secondary equity markets on firm performance: Evidence from Indonesia. International Journal of Managerial Finance, 13(4), 397-418.
- Batrancea, L., Rathnaswamy, M. M., & Batrancea, I. (2021). A Panel Data Analysis of Economic Growth Determinants in 34 African Countries. Journal of Risk and Financial Management, 14(6), 260.
- Budiharto, W. (2021). Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM). Journal of Big Data, 8(1).
- Caporale, G. M., You, K., & Chen, L. (2019). Global and regional stock market integration in Asia: A panel convergence approach. International Review of Financial Analysis, 65.
- Cheng, C. Y., Chien, M. S., & Lee, C. C. (2021). ICT diffusion, financial development, and economic growth: An international cross-country analysis. Economic Modelling, 94, 662-671.
- Chkir, I., Guesmi, K., Brayek, A. Ben, & Naoui, K. (2020). Modelling the nonlinear relationship between oil prices, stock markets, and exchange rates in oil-exporting and oil-importing countries. Research in International Business and Finance, 54.
- Delgado, N. A. B., Delgado, E. B., & Saucedo, E. (2018). The relationship between oil prices, the stock market and the exchange rate: Evidence from Mexico. North American Journal of Economics and Finance, 45, 266-275.
- Ding, D., Guan, C., Chan, C. M. L., & Liu, W. (2020). Building stock market resilience through digital transformation: using Google trends to analyze the impact of COVID-19 pandemic. Frontiers of Business Research in China, 14(1).
- Djebali, N., & Zaghdoudi, K. (2020). Testing the governance-performance relationship for the Tunisian banks: a GMM in system analysis. Financial Innovation, 6(1).
- Emenogu, N. G., Adenomon, M. O., & Nweze, N. O. (2020). On the volatility of daily stock returns of Total Nigeria Plc: evidence from GARCH models, value-at-risk and backtesting. Financial Innovation, 6(1), 1-25.
- Enad, O. M. A., & Gerinda, S. M. A. (2022). Enhancing financial performance of the banks: the role of customer response and operations management. Journal of Innovation and Entrepreneurship, 11(1).
- Fonou-Dombeu, N. C., Mbonigaba, J., Olarewaju, O. M., & Nomlala, B. C. (2022). Earnings quality measures and stock return volatility in South Africa. Future Business Journal, 8(1), 1-15.
- Galloppo, G., & Paimanova, V. (2017). The impact of monetary policy on BRIC markets asset prices during global financial crises. Quarterly Review of Economics and Finance, 66, 21-49.
- Hamdi, H., Hakimi, A., & Zaghdoudi, K. (2017). Diversification, bank performance and risk: have Tunisian banks adopted the new business model? Financial Innovation, 3(1).
- Hashmi, S. M., Chang, B. H., Huang, L., & Uche, E. (2022). Revisiting the relationship between oil prices, exchange rate, and stock prices: An application of quantile ARDL model. Resources Policy, 75.
- Hatamerad, S., Asgharpur, H., Adrangi, B., & Haghighat, J. (2024). Stock price index analysis of four OPEC members: a Bayesian approach. Financial Innovation, 10(1), 1-29.
- Hidayat, K., & Idrus, M. I. (2023). The effect of relationship marketing towards switching barrier, customer satisfaction, and customer trust on bank customers. Journal of Innovation and Entrepreneurship, 12(1).
- Ho, S. Y., & NjindanIyke, B. (2017). Determinants of stock market development: a review of the literature. Studies in Economics and Finance, 34(1), 143-164.
- Hong, H., Bian, Z., & Lee, C. C. (2021). COVID-19 and instability of stock market performance: evidence from the U.S. Financial Innovation, 7(1), 1-18.
- Huang, J., Chai, J., & Cho, S. (2020). Deep Learning In Finance and Banking. Frontiers of Business Research in China, 14(1).
- Ijaz, S., Hassan, A., Tarazi, A., & Fraz, A. (2020). Linking bank competition, financial stability, and economic growth. Journal of Business Economics and Management, 21(1), 200-221.
- Ikhsan, A., & Satrianto, A. (2023). The effect of financial development on economic growth in high-income countries. Asian Economic and Financial Review, 13(3), 202-215.
- Iqbal, S., & Nosheen, S. (2023). Moderating impact of non-performing loans on the relationship between sustainable development goals and the financial performance of banks. Future Business Journal, 9(1), 1-12.
- Islam, F. B., Mubassirah, F. A., Siddiq, F., Hossain, D., Sharmin, N., & Haque, A. (2016). Economic Growth Analysis of Six Divisions of Bangladesh Using Location Quotient and Shift-Share Method. Journal of Bangladesh Institute of Planners, 12(1), 144-154.
- Ito, T. (2020). Do long-term swap rate and stock price give an impact on Japanese Real Estate Investment Trust market under quantitative and qualitative easing and negative interest rate policy? Journal of Corporate Accounting and Finance, 31(3), 15-19.
- Jiang, L., Kim, J. B., & Pang, L. (2018). Foreign institutional investors and stock return comovement. Frontiers of Business Research in China, 12, 16.
- Jin, X., Chen, Z., & Yang, X. (2019). Economic policy uncertainty and stock price crash risk. Accounting and Finance, 58(5), 1291-1318.
- Juhro, S. M., Iyke, B. N., & Narayan, P. K. (2021). Interdependence between monetary policy and asset prices in ASEAN-5 countries. Journal of International Financial Markets, Institutions and Money, 75.
- Lam, S. S., Zhang, H., & Zhang, W. (2020). Does Policy Instability Matter for International Equity Markets? International Review of Finance, 20(1), 155-196.
- Le, Q. H., Ho, H. L., & Vu, T. D. (2019). Financial depth and economic growth: Empirical evidence from ASEAN+3 countries. Management Science Letters, 9(6), 851-864.
- Li, M., Yang, K., Lin, W., Wei, Y., & Wang, S. (2024). An interval constraint-based trading strategy with social sentiment for the stock market. Financial Innovation, 10, 56.
- Li, Q., & Guo, M. (2021). Local Economic Performance, Political Promotion, and Stock Price Crash Risk: Evidence from China. Emerging Markets Finance and Trade, 57(15), 4330-4349.
- Limakrisna, N., & Yoserizal, S. (2016). Determinants of marketing performance: empirical study at National Commercial Bank in Jakarta Indonesia. SpringerPlus, 5, 1693.
- Long, W., Gao, J., Bai, K., & Lu, Z. (2024). A hybrid model for stock price prediction based on multi-view heterogeneous data. Financial Innovation, 10, 48.
- Ma, D., Zhai, P., Zhang, D., & Ji, Q. (2024). Excess stock returns and corporate environmental performance in China. Financial Innovation, 10, 41.
- Melas, K. D., & Michail, N. A. (2024). Can commodity prices predict stock market returns? The case of dry bulk shipping companies. Journal of Shipping and Trade, 9, 20.
- Myovella, G., Karacuka, M., & Haucap, J. (2020). Digitalization and economic growth: A comparative analysis of Sub-Saharan Africa and OECD economies. Telecommunications Policy, 44(2), 101856.
- Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2021). A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction. Journal of Big Data, 8, 17.
- O’Donnell, N., Shannon, D., & Sheehan, B. (2024). The impact of monetary policy interventions on banking sector stocks: an empirical investigation of the COVID-19 crisis. Financial Innovation, 10, 44.
- Ogbaisi, S. A., Dabor, E. L., & Omokhudu, O. O. (2022). Earnings surprise and share price of firms in Nigeria. Future Business Journal, 8, 35.
- Ozgur, O., Karagol, E. T., & Ozbugday, F. C. (2021). Machine learning approach to drivers of bank lending: evidence from an emerging economy. Financial Innovation, 7, 20.
- Park, K., Jung, M., & Lee, S. (2018). Credit Ratings and Convertible Bond Prices: A Simulation-Based Valuation. European Journal of Finance, 24(12), 1001-1025.
- Pelster, M., Irresberger, F., & Weiß, G.N. F. (2018). Bank Stock Performance and Bank Regulation around the Globe. European Journal of Finance, 24(2), 77-113.
- Pham, T. P., Pavelkova, D., Popesko, B., Hoang, S. D., & Huynh, H. T. (2024). Relationship between fintech by Google search and bank stock return: a case study of Vietnam. Financial Innovation, 10, 123.
- Raji, J. O., Ibrahim, Y., & Ahmad, S. A. (2017). Stock Price Index and Exchange Rate Nexus in African Markets. International Economic Journal, 31(1), 112-134.
- Sadeghi, A., Marzban, H., Samadi, A. H., Azarbaiejani, K., & Rostamzadeh, P. (2022). Financial intermediaries and speculation in the foreign exchange market: the role of monetary policy in Iran’s economy. Journal of Economic Structures, 11, 13.
- Satrianto, A., & Ikhsan, A. (2023). The effect of information and communication technology on economic growth high-income countries. Asian Economic and Financial Review, 13(9), 621-634.
- Shen, J., & Shafiq, M. O. (2020). Short-term stock market price trend prediction using a comprehensive deep learning system. Journal of Big Data, 7, 66.
- Smith, S., & O’Hare, A. (2022). Comparing traditional news and social media with stock price movements; which comes first, the news or the price change? Journal of Big Data, 9, 47.
- Suhadak, S., Kurniaty, K., Handayani, S. R., & Rahayu, S. M. (2019). Stock return and financial performance as moderation variable in influence of good corporate governance towards corporate value. Asian Journal of Accounting Research, 4(1), 18-34.
- Tang, X., & Yao, X. (2018). Do financial structures affect exchange rate and stock price interaction? Evidence from emerging markets. Emerging Markets Review, 34, 64-76.
- Ye, Y., Wang, Y., & Yang, X. (2022). Bank loan information and information asymmetry in the stock market: evidence from China. Financial Innovation, 8, 62.
- Yilanci, V., Ozgur, O., & Gorus, M. S. (2021). Stock prices and economic activity nexus in OECD countries: new evidence from an asymmetric panel Granger causality test in the frequency domain. Financial Innovation, 7, 11.
- Zhang, B., Yuan, H., & Zhi, X. (2017). ROE as a performance measure in performance-vested stock option contracts in China. Frontiers of Business Research in China, 11, 4.