Reference: | Abreu, M., & Mendes, V. (2001). Commercial Bank Interest Margins and Profitability Evidence from Some EU Countries. Pan-European Conference Jointly Organised by the IEFS-UK & University of Macedonia Economic & Social Sciences, 34, 17-20. Agbeja, O., Adelakun, O. J., & Olufemi, F. I. (2015). Capital adequacy ratio and bank profitability in Nigeria: A linear approach. International Journal of Novel Research in Marketing Management and Economics, 2(3), 91-99. Agustí, M., Costa, I. V. Q., & Altmeyer, P. (2023). Deep vector autoregression for macroeconomic data. IFC Bulletins , 59. Albertazzi, U., & Gambacorta, L. (2009). Bank profitability and the business cycle. Journal of Financial Stability, 5(4), 393-409. Aladwan, M. S. (2015). The impact of bank size on profitability: An empirical study on listed Jordanian commercial banks. European Scientific Journal, 11(34), 2015. Amir, M., Dzulfadeln, A., & Amri, A. (2022). The Effect of Loan to Deposit Ratio on Return On Assets at PT. Bank Mandiri. Jurnal Ilmiah Manajemen, 15(3), 155-164. 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. Banapon, A.,& Yotenka, R. (2020). Vector autoregressive modelling of profitability Sharia rural bank in Indonesia. The 2nd International Seminar on Science and Technology, 43-52. Berger, A. N., & Bouwman, C. H. (2013). How does capital affect bank performance during financial crises?. Journal of Financial Economics, 109(1), 146-176. Bikker, J. A., & Hu, H. (2002). Cyclical patterns in profits, provisioning and lending of banks and procyclicality of the new Basel capital requirements. PSL Quarterly Review, 55(221). Bourke, P. (1989). Concentration and other determinants of bank profitability in Europe, North America and Australia. Journal of banking & Finance, 13(1), 65-79. Brummelhuis, R., & Luo, Z. (2019). Bank net interest margin forecasting and capital adequacy stress testing by machine learning techniques. SSRN Journal Bzdok, D., Krzywinski, M., & Altman, N. (2018). Machine learning: Supervised methods. Nature Methods, 15(1), 5. Christaria, F., & Kurnia, R. (2016). The impact of financial ratios, operational efficiency and non-performing loan towards commercial bank profitability. Accounting and Finance Review, 1(1). Dietrich, A., & Wanzenried, G. (2011). Determinants of bank profitability before and during the crisis: Evidence from Switzerland. Journal of International Financial Markets, Institutions and Money, 21(3), 307-327. Dou, W. W., Fang, X., Lo, A. W., & Uhlig, H. (2023). Macro-finance models with nonlinear dynamics. Annual Review of Financial Economics, 15(1), 407-432. Elman, J. L. (1990). Finding structure in time. Cognitive science, 14(2), 179-211. Gerlach, S., Peng, W., & Shu, C. (2005). Macroeconomic conditions and banking performance in Hong Kong SAR: A panel data study. Bank for International Settlements, (22). Green, J., & Zhao, W. (2022). Forecasting earnings and returns: A review of recent advancements. The Journal of Finance and Data Science, 8, 120-137. Gunsel, N. (2005). Financial ratios and the probabilistic prediction of bank failure in North Cyprus. Editorial Advisory Board , 18(2), 191-200. Gu, W., Zhong, Y., Li, S., Wei, C., Dong, L., Wang, Z., & Yan, C. (2024). Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysis. arXiv.org. https://arxiv.org/abs/2407.16150 Heffernan, S., & Fu, M. (2008). The determinants of bank performance in China. SSRN Journal Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735-1780. Horton, R., Searls, P., & Stone, K. (2014). Integrated performance management. Plan. Budget. Forecast. Contacts, 28 Horváth, R., Seidler, J., & Weill, L. (2014). Bank capital and liquidity creation: Granger-causality evidence. Journal of Financial Services Research, 45, 341-361. Jadhav, J. J., Kathale, A., & Rajpurohit, S. (2021). An impact of capital adequacy ratio on the profitability of private sector banks in India–A study. SSRN Journal Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics & Statistics, 52(2). Kanungo, S., & Jain, S. (2023). A Review on Social Media and Deep Neural Networks for Sentiment Analysis in Emergency Management. In 2023 IEEE International Conference on ICT in Business Industry & Government (pp. 1-7). Kong, W., Dong, Z. Y., Jia, Y., Hill, D. J., Xu, Y., & Zhang, Y. (2017). Short-term residential load forecasting based on LSTM recurrent neural network. IEEE Transactions on Smart Grid, 10(1), 841-851. Kosmidou, K. (2008). The determinants of banks' profits in Greece during the period of EU financial integration. Managerial Finance, 34(3), 146-159. Kothandapani, H. P. (2020). Application of machine learning for predicting us bank deposit growth: A univariate and multivariate analysis of temporal dependencies and macroeconomic interrelationships. Journal of Empirical Social Science Studies, 4(1), 1-20. Limajatini, L., Murwaningsari, E., & Sellawati, S. (2019). Analysis of the effect of loan to deposit ratio, non-performing loan & capital adequacy ratio in profitability: Empirical study of conventional banking companies listed in IDX period 2014–2017. eCo-Fin, 1(2), 55-62. Liu, Y., Dong, S., Lu, M., & Wang, J. (2018). LSTM based reserve prediction for bank outlets. Tsinghua Science and Technology, 24(1), 77-85. Makri, V., Tsagkanos, A., & Bellas, A. (2014). Determinants of non-performing loans: The case of Eurozone. Panoeconomicus, 61(2), 193-206. McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. The Bulletin of Mathematical Biophysics, 5, 115-133. Men, L., Ilk, N., Tang, X., & Liu, Y. (2021). Multi-disease prediction using LSTM recurrent neural networks. Expert Systems with Applications, 177. Molyneux, P., & Thornton, J. (1992). Determinants of European bank profitability: A note. Journal of banking & Finance, 16(6), 1173-1178. Siami-Namini, S., Tavakoli, N., & Namin, A. S. (2018). A comparison of ARIMA and LSTM in forecasting time series. 2018 17th IEEE International Conference on Machine Learning and Applications, 1394-1401. Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1-48. Smith, R., Staikouras, C., & Wood, G. (2003). Non-interest income and total income stability. SSRN Journal. Stock, J. H., & Watson, M. W. (2001). Vector autoregressions. Journal of Economic perspectives, 15(4), 101-115. Tan, Y., & Floros, C. (2012). Bank profitability and GDP growth in China: A note. Journal of Chinese Economic and Business Studies, 10(3), 267-273. Pasiouras, F., & Kosmidou, K. (2007). Factors influencing the profitability of domestic and foreign commercial banks in the European Union. Research in International Business and Finance, 21(2), 222-237. Pennacchi, George G., and João AC Santos. "Why do banks target ROE?." Journal of Financial Stability, 54, 100856. Pirani, M., Thakkar, P., Jivrani, P., Bohara, M. H., & Garg, D. (2022). A comparative analysis of ARIMA, GRU, LSTM and BiLSTM on financial time series forecasting.In 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics ,1-6. Roman, A., & Tomuleasa, I. (2013). Analysis of profitability determinants: Empirical evidence of commercial banks in the new EU member states. University of Iasi, Romania. Runkle, D. E. (1987). Vector autoregressions and reality. Journal of Business & Economic Statistics, 5(4), 437-442. Zahariev, A., Angelov, P., & Zarkova, S. (2022). Estimation of bank profitability using vector error correction model and support vector regression. Economic Alternatives, 2, 157-170. Zhao, Z., Rao, R., Tu, S., & Shi, J. (2017). Time-weighted LSTM model with redefined labeling for stock trend prediction. In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence ,1210-1217. 黃台心、江典霖 (2014) 我國銀行業市場競爭度與金融創新之連結。中央銀行季刊, 36(2), 15-52. |