How to cite this paper
Haris, A., Ghozali, I & Najmudin, N. (2022). Indicators of financial distress condition in Indonesian banking industry.Accounting, 8(1), 27-36.
Refrences
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Ashraf, S., GS Félix, E., & Serrasqueiro, Z. (2019). Do traditional financial distress prediction models predict the early warning signs of financial distress?. Journal of Risk and Financial Management, 12(2), 55.
Asutay, M., & Othman, J. (2020). Alternative measures for predicting financial distress in the case ofMalaysian Islamic banks: assessing the impact of global financial crisis. Journal of Islamic Accounting and Business Research, 11(9), 1759-0817.
Beaver, W. H., Correia, M., & McNichols, M. (2011). Financial statement analysis and the prediction of financial distress. Now Publishers Inc.
Brownbridge. (1998). The Cause of Financial Distress in Local Bank in Africa and Implication for Prudential Policy. Macro Economic and Development Policies, GDS. Uniteed Natio Conference on Trade and Development (UNCTAD) Review, and Discussion Paper.UNCTAD/OSG/132.
Fitzpatrick, P. J. (1932). A comparison of the ratios of successful industrial enterprises with those of failed companies. Certified Public Accountant, 12, 598-605, 656-662, 727-731.
Fukuda, S. I., Kasuya, M., & Nakajima, J. (2006). Deteriorating bank health and lending in Japan: evidence from unlisted companies under financial distress. Journal of the Asia Pacific Economy, 11(4), 482-501.
Gadzo, S. G., Kportorgbi, H. K., & Gatsi, J. G. (2019). Credit risk and operational risk on financial performance of universal banks in Ghana: A partial least squared structural equation model (PLS SEM) approach. Cogent Economics & Finance, 7(1), 1589406.
Gutiérrez-López, C., & Abad-González, J. (2020). Sustainability in the Banking Sector: A Predictive Model for the European Banking Union in the Aftermath of the Financial Crisis. Sustainability, 12(6), 2566.
Isanzu, J. S. (2017). The impact of credit risk on financial performance of Chinese banks. Journal of International Business Research and Marketing, 2(3).
Platt, H. D., & Platt, M. B. (2002). Predicting corporate financial distress: reflections on choice-based sample bias. Journal of Economics and Finance, 26(2), 184-199.
Kargi. (2011). Credit Risk and Performance of Nigerian Banks. Development of Acounting Faculty of Administration Ahmadu Bello University, Zaria-Nigeria.
Keffala, M. R. (2018). Analyzing the effect of derivatives on the financial soundness of commercial banks in Italy: An approach based on the CAMELS framework. Review of Financial Economics, 36(3), 267-283.
Kablay, H., & Gumbo, V. (2021). Bank Distress Prediction Model for Botswana. Asian Research Journal of Mathematics, 47-59.
Kurniasari, C., & Ghozali, I. (2013). Analisis pengaruh rasio CAMEL dalam memprediksi financial distress perbankan Indonesia (Doctoral dissertation, Fakultas Ekonomika dan Bisnis).
Kuncoro, S., & Agustina, L. (2017). Factors to Predict the Financial Distress Condition of the Banking Listed in The Indonesia Stock Exchange. Accounting Analysis Journal, 6(1), 39-47.
Ledhem, M. A., & Mekidiche, M. (2020). Economic growth and financial performance of Islamic banks: a CAMELS approach. Islamic Economic Studies, 28(1), 47-62.
Lee, S. W., & Mullineaux, D. J. (2004). Monitoring, financial distress, and the structure of commercial lending syndicates. Financial Management Association International, 33(3), 107-130.
Muriithi, J. G., Waweru, K. M., & Muturi, W. M. (2016). Effect of credit risk on financial performance of commercial banks Kenya. Journal of Economic and Finance (IOSR-JEF), 7(4). 72-83.
Nurazi, R., & Evans, M. (2005). An Indonesian study of the use of CAMEL (S) ratios as predictors of bank failure. Journal of Economic & Social Policy, 10(1), 143-167.
Onsongo, S. K., Muathe, S., & Mwangi, L. W. (2020). Financial risk and financial performance: evidence and insights from commercial and services listed companies in Nairobi securities exchange, Kenya. International Journal of Financial Studies, 8(3), 51.
Rahman, S., Tan, L. H., Hew, O. L., & Tan, Y. S. (2004). Identifying financial distress indicators of selected banks in Asia. Asian Economic Journal, 18(1), 45-57.
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung : Alfabeta.
Vassalou, M., & Xing, Y. (2004). Default risk in equity returns. The journal of finance, 59(2), 831-868.
Yurivin, N., & Mawardi, W. (2018). Analisis Faktor-Faktor Yang Mempengaruhi Financial Distress Pada Perusahaan Perbankan Di Indonesia (Studi Pada Bank Umum Swasta Devisa Dan Non Devisa Periode 2012-2016) (Doctoral dissertation, Fakultas Ekonomika dan Bisnis).
Zaki, E., Bah, R., & Rao, A. (2011). Assessing probabilities of financial distress of banks in UAE. International Journal of Managerial Finance, 7(3), 304-320.
Ashraf, S., GS Félix, E., & Serrasqueiro, Z. (2019). Do traditional financial distress prediction models predict the early warning signs of financial distress?. Journal of Risk and Financial Management, 12(2), 55.
Asutay, M., & Othman, J. (2020). Alternative measures for predicting financial distress in the case ofMalaysian Islamic banks: assessing the impact of global financial crisis. Journal of Islamic Accounting and Business Research, 11(9), 1759-0817.
Beaver, W. H., Correia, M., & McNichols, M. (2011). Financial statement analysis and the prediction of financial distress. Now Publishers Inc.
Brownbridge. (1998). The Cause of Financial Distress in Local Bank in Africa and Implication for Prudential Policy. Macro Economic and Development Policies, GDS. Uniteed Natio Conference on Trade and Development (UNCTAD) Review, and Discussion Paper.UNCTAD/OSG/132.
Fitzpatrick, P. J. (1932). A comparison of the ratios of successful industrial enterprises with those of failed companies. Certified Public Accountant, 12, 598-605, 656-662, 727-731.
Fukuda, S. I., Kasuya, M., & Nakajima, J. (2006). Deteriorating bank health and lending in Japan: evidence from unlisted companies under financial distress. Journal of the Asia Pacific Economy, 11(4), 482-501.
Gadzo, S. G., Kportorgbi, H. K., & Gatsi, J. G. (2019). Credit risk and operational risk on financial performance of universal banks in Ghana: A partial least squared structural equation model (PLS SEM) approach. Cogent Economics & Finance, 7(1), 1589406.
Gutiérrez-López, C., & Abad-González, J. (2020). Sustainability in the Banking Sector: A Predictive Model for the European Banking Union in the Aftermath of the Financial Crisis. Sustainability, 12(6), 2566.
Isanzu, J. S. (2017). The impact of credit risk on financial performance of Chinese banks. Journal of International Business Research and Marketing, 2(3).
Platt, H. D., & Platt, M. B. (2002). Predicting corporate financial distress: reflections on choice-based sample bias. Journal of Economics and Finance, 26(2), 184-199.
Kargi. (2011). Credit Risk and Performance of Nigerian Banks. Development of Acounting Faculty of Administration Ahmadu Bello University, Zaria-Nigeria.
Keffala, M. R. (2018). Analyzing the effect of derivatives on the financial soundness of commercial banks in Italy: An approach based on the CAMELS framework. Review of Financial Economics, 36(3), 267-283.
Kablay, H., & Gumbo, V. (2021). Bank Distress Prediction Model for Botswana. Asian Research Journal of Mathematics, 47-59.
Kurniasari, C., & Ghozali, I. (2013). Analisis pengaruh rasio CAMEL dalam memprediksi financial distress perbankan Indonesia (Doctoral dissertation, Fakultas Ekonomika dan Bisnis).
Kuncoro, S., & Agustina, L. (2017). Factors to Predict the Financial Distress Condition of the Banking Listed in The Indonesia Stock Exchange. Accounting Analysis Journal, 6(1), 39-47.
Ledhem, M. A., & Mekidiche, M. (2020). Economic growth and financial performance of Islamic banks: a CAMELS approach. Islamic Economic Studies, 28(1), 47-62.
Lee, S. W., & Mullineaux, D. J. (2004). Monitoring, financial distress, and the structure of commercial lending syndicates. Financial Management Association International, 33(3), 107-130.
Muriithi, J. G., Waweru, K. M., & Muturi, W. M. (2016). Effect of credit risk on financial performance of commercial banks Kenya. Journal of Economic and Finance (IOSR-JEF), 7(4). 72-83.
Nurazi, R., & Evans, M. (2005). An Indonesian study of the use of CAMEL (S) ratios as predictors of bank failure. Journal of Economic & Social Policy, 10(1), 143-167.
Onsongo, S. K., Muathe, S., & Mwangi, L. W. (2020). Financial risk and financial performance: evidence and insights from commercial and services listed companies in Nairobi securities exchange, Kenya. International Journal of Financial Studies, 8(3), 51.
Rahman, S., Tan, L. H., Hew, O. L., & Tan, Y. S. (2004). Identifying financial distress indicators of selected banks in Asia. Asian Economic Journal, 18(1), 45-57.
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung : Alfabeta.
Vassalou, M., & Xing, Y. (2004). Default risk in equity returns. The journal of finance, 59(2), 831-868.
Yurivin, N., & Mawardi, W. (2018). Analisis Faktor-Faktor Yang Mempengaruhi Financial Distress Pada Perusahaan Perbankan Di Indonesia (Studi Pada Bank Umum Swasta Devisa Dan Non Devisa Periode 2012-2016) (Doctoral dissertation, Fakultas Ekonomika dan Bisnis).
Zaki, E., Bah, R., & Rao, A. (2011). Assessing probabilities of financial distress of banks in UAE. International Journal of Managerial Finance, 7(3), 304-320.