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Risk Yönetimi Uygulamalarının Finansal Performans Üzerindeki Etkisi: İslami Bankalarda Uygulamalı Bir Araştırma

Year 2023, Issue: 51, 18 - 33, 31.08.2023
https://doi.org/10.52642/susbed.1221549

Abstract

Risk, finansal kuruluşlar için kaçınılmaz bir gerçektir ve bir kez bilindiğinde yapılacak temel faaliyet, etkin bir risk yönetimidir. Bu çalışmanın amacı, İslami bankalarda risk yönetimi uygulamalarının finansal performans üzerindeki etkisini analiz etmektir. Bu çalışma, Türkiye'de faaliyet gösteren üç İslami bankanın risk yönetimi uygulamalarının finansal performansları üzerindeki etkisini regresyon analizi yoluyla incelemektedir. Çalışmanın veri seti, toplamda 180 gözlem içeren bir panel veriden oluşmaktadır. Bankaların finansal performansının göstergesi olarak kullanılan özkaynak karlılığı ve aktif karlılığı modelin bağımlı değişkenleridir. Risk yönetimini temsil etmek için kullanılan finansal oranlar, modelin bağımsız değişkenleridir. Bulgular, kaldıraç oranı ve aktif kullanım oranının İslami bankaların performansı üzerinde istatistiksel olarak anlamlı etkilere sahip olduğunu ortaya koymaktadır. Çalışmanın sonuçları, önceki literatürün yerleşik yapısındaki bulguları ve argümanları desteklemektedir. Elde edilen bulgular, bankaların finansal risk yönetimi uygulamalarında yol gösterici olarak kullanılabilir ve bundan sonraki çalışmalara ışık tutacaktır.

References

  • Abdul Rahman, R., Alsmady, A., Ibrahim, Z., & Muhammad, A. D. (2014). Risk Management Practices in Islamic Banking Institutions: A Comparative Study Between Malaysia and Jordan. The Journal of Applied Business Research, 30 (5), pp. 1295 – 1304.
  • Abdul Rahman, R., Balqis, S., & Dean, F. (2013). Assessing the risk management practices of Islamic banks: empirical evidence from Malaysia and Pakistan. Journal of Islamic Economics, Banking and Finance, 9(4), pp. 11-31.
  • Akhtar, M. F., Ali, K., & Sadaqat, S. (2011). Liquidity risk management: A comparative study between conventional and Islamic banks of Pakistan. Interdisciplinary Journal of Research in Business, 1 (1), pp. 35-44.
  • Al Rahahleh, N., Bhatti, M. I., & Misman, F. N. (2019). Developments in risk management in Islamic finance: A review. Journal of Risk and Financial Management, ISSN 1911-8074, MDPI, Basel, 12(1), pp. 1-22. https://doi.org/10.3390/jrfm12010037 E.T. 5.5.2021
  • Ariffin, N. M., & Kassim, S. (2014). Risk management practices of selected Islamic banks in Malaysia. Aceh International Journal of Social Sciences, 3 (1), pp. 26-36.
  • Atan, M. (2002). Risk yönetimi ve Türk bankacılık sektöründe bir uygulama. Doktora Tezi. Gazi Üniversitesi Sosyal Bilimler Enstitüsü.
  • Bai, J., & Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72 (4), pp. 1127–1177.
  • Baltagi, B. (2008). Econometric analysis of panel data. John Wiley & Sons.
  • Basel Committee on Banking Supervision. (2001). Consultative Document: Operational Risk.
  • Breitung, J. (2000). The local power of some unit root tests for panel data. In Nonstationary panels, panel cointegration, and dynamic panels (pp. 161-177). Emerald Group Publishing Limited.
  • Breusch, T., & Pagan, A. (1980). The lagrange multiplier test and its application to model specifications in econometrics. Reviews of Economics Studies(47), pp. 239–53.
  • Brigham,E.F.,&Houston, J.F. (2014). Fundamentals of financial management, Translation Editor: N. Aypek, Ankara: Nobel Yayın Dağıtım.
  • Chang, Y., & Park, J. Y. (2002). A revisit to the unit root hypothesis of purchasing power parity using a panel data approach. Journal of Money, Credit and Banking, 34(1), 114-127.
  • Chen, L., Wei, L. J., & Parzen, M. I. (2003). Quantile regression for correlated observations. In proceedings of the second seattle symposium in biostatistics: Analysis of correlated data. lecture notes in statistics, pp. 51-69, Springer, New York.
  • Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249-272.
  • Craney, T. A., & Surles, J. G. (2002). Model-dependent variance ınflation factor cut off values. Quality Engineering, 14(3), s. 391-403, https://doi.org/10.1081/QEN-120001878.E.T. E.T. 5.5.2021
  • Çolak, Ö. F., & Yiğidim, A. (2001). Türk bankacılık sektöründe kriz. Ankara: Nobel Yayın Dağıtım.
  • Ekinci, R., & Poyraz, G. (2019). The effect of credit risk on financial performance of deposit banks in Turkey. Procedia Computer Science(158), pp. 979–987.
  • Fadun, O. S., & Oye, D. (2020). Impacts of operational risk management on financial performance: A case of commercial banks in Nigeria. International Journal of Finance & Banking Studies, 9(1), pp. 22-35.
  • Febianto, I. (2012). Adapting risk management for profit and loss sharing financing of Islamic banks. Modern Economy(3), pp. 73-80.
  • Gujarati, D. (2004). Basic Econometrics. United States Military Academy West Point.
  • Hagemann, A. (2017). Cluster-robust bootstrap ınference in quantile regression models. Journal of the American Statistical Association, 112 (517), pp. 446-456. https://doi.org/10.1080/01621459.2016.1148610. E.T. 05.05.2021
  • Hakkio, C. S., & Rush, M. (1991). Cointegration: how short is the long run?. Journal of International Money and Finance, 10(4), 571-581.
  • Halis, M., & Abdssalm Eltawil, A. E. (2017). Risk Management in Islamic Banks: Findings From Libya. The International Journal of Economic and Social Research, 13 (2), pp. 97-118.
  • Hassan, A. (2009). Risk management practices of Islamic banks of Brunei Darussalam. The Journal of Risk Finance, 10 (1), pp. 23-37.
  • Huber, P. J. (1981). Robust statistics (No. 26). John Wiley & Sons.
  • Hsiao, C. (2003). Analysis of panel data (2nd ed). Cambridge University Press. .
  • Ilias, S. E. B (2012). Risk Management in Islamic Banking. International Proceedings of Economics Development and Research, 55(32), pp. 159-162.
  • Izhar, H., & Hassan, Z. S. A. (2013). Applying core principles of risk management in Islamic banks’ operational risk analysis. Afro Eurasian Studies, 2(1-2), pp. 15-40.
  • Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review, 55(2), pp. 163-172.
  • Kamau, D., & Ayuo, A. (2014). The Effects of working capital management on organizational performance- A survey of manufacturing firms in eldoret municipality. Research Journal of Finance and Accounting, 5(5), pp. 72-80.
  • Khalid, S., & Amjad, S. (2012). Risk management practices of Islamic banks of Pakistan. The Journal of Risk Finance, 13 (2), pp. 148-159.
  • Lopez, C. P. (2015). Econometric models with panel data. create space ındependent publishing platform. ISBN-10:97815076449-97.
  • Makiyan, S. N. (2008). Risk management and challenges in Islamic banks. Journal of Islamic Economics, Banking and Finance, 4(3), pp. 45-53. Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631-652.
  • Mandipa, G., & Sibindi, A. B. (2022). Financial performance and working capital management practices in the retail sector: Empirical evidence from South Africa. Risks 10, 63, pp. 1-17. https://doi.org/10.3390/ risks10030063. E.T. 15.12.2022.
  • Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust statistics: theory and methods. John Wiley & Sons.
  • Mertler, C. A., & Vannatta, R. A. (2005). Advanced and multivariate statistical methods: Practical application and interpretation. Glendale, CA: Pyrczak Publishing.
  • Metin, N. (2013). Avrupa ülkelerinde ekonomik özgürlüğün panel veri modelleri ile analizi. Derin Yayınları.
  • Mudanya, L. E., & Muturi, W. (2018). Effects of financial risk on profitability of commercial banks listed in the Nairobi securities exchange. International Journal of Social Sciences Management and Entrepreneurship, 2(1), pp. 75-93.
  • Noor, J. A. M. (2019). Effect of financial risk on performance of transport firms in Mombasa county. Doctoral Dissertation, JKUAT-COHRED.
  • Olalekan, L. I., Mustapha, L. O., Irom, I. M., & Emily, B. N. (2018). Corporate board size, risk management and financial performance of listed deposit money banks in Nigeria. European Journal of Accounting Auditing and Finance Research, 6 (1), pp. 1-20.
  • Parente, P., & Santos Silva, J. (2016). Quantile regression with clustered data. Journal of Econometric Methods, 5(1), pp. 1-15. https://doi.org/10.1515/jem-2014-0011. E.T. 05.05.2021
  • Parlakkaya, R., Çetin, H., & Demirci, M. N. (2022). Risk management in Islamic banks: A research on the participation banks in Turkey. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(1), pp. 608-636.
  • Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels. Working Paper No: 0435, University of Cambridge.
  • Pesaran, H. (2007). A Simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), pp. 265-312.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Prieto, T., & Lee, Y. (2018). Factors associated with the financial performance of commercial firms in ecuador. 글로벌경영학회지, 15(5), pp. 1-26.
  • Rhanoui, S., & Belkhoutout, K. (2018). Operational Risk in Both Conventional and Islamic Banking Perceptions: Differences and Similarities. European Scientific Journal, ESJ, 14(13), pp. 110-120. https://doi.org/10.19044/esj.2018.v14n13p110. E.T. 15.12.2022.
  • Rohmawati, E., & Shenurti, E. (2019). The ınfluence of financial performance and corporate social responsibility on firm’s value (For companies (Food and beverage sector) listed in Bursa Efek Indonesia). Advances in Economics, Business and Management Research(127), pp. 82-85.
  • Said, A. (2013). Risks and efficiency in the Islamic banking systems: The case of selected Islamic banks in MENA region. International Journal of Economics and Financial Issues, 3 (1), pp. 66-73.
  • Sathyamoorthi, C. R., Mogotsinyana, M., Mphoeng, M., & Mashoko, D. (2020). Impact of financial risk management practices on financial performance: Evidence from commercial banks in Botswana. Applied Finance and Accounting, 6(1), pp. 24-40.
  • Shah, M., Ullah, H., & Khalıd, S. (2012). A comparative study of credit risk in different companies of different sectors in Pakistan. International Journal of Academic Research in Business and Social Sciences, 2 (1), pp. 615- 626.
  • Şamiloğlu, F., Öztop, A. O., & Kahraman, Y. E. (2017). The determinants of firm financial performance: Evidence from Istanbul stock exchange (BIST). IOSR Journal of Economics and Finance (IOSR-JEF), 8(6), pp. 62-67.
  • Van Greuning, H., & Iqbal, Z. (2008). Risk analysis for Islamic banks. The World Bank Washington, D.C.
  • Yohai, V. J. (1987). High breakdown-point and high efficiency robust estimates for regression. The Annals of Statistics, 15(2), 642-656.).
  • Yousfi, I. (2015). Risk management practices and financial performance in Jordan: Empirical evidence from Islamic banks. http://dspace.univ-setif.dz:8888/jspui/bitstream/123456789/926/1/1.d.pdf. E.T.05.05.2021

The Effects of Risk Management Practices on Financial Performance: An Empirical Analysis on Islamic Banks

Year 2023, Issue: 51, 18 - 33, 31.08.2023
https://doi.org/10.52642/susbed.1221549

Abstract

Risk is an inevitable reality for financial institutions, and once it is known, the main activity to be done is an effective risk management.The purpose of this study is to empirically analyze the effects of risk management practices on financial performance in Islamic banks. This study examines the effect of risk management practices on the financial performances of three Islamic banks operating in Türkiye through regression analysis. The data set of the study consists of a panel data containing 180 observations in total. Return on equity and return on assets, which are used as indicators of banks' financial performance, are dependent variables of the model. The financial ratios used to represent risk management are the independent variables of the model. The findings reveal that leverage ratio and asset utilization ratio have statistically significant effects on the performance of Islamic banks. The results of the study support the findings and arguments in the established body of previous literature. The findings obtained within the scope of this study could be used as guidance for the banks in their financial risk management practices and they will shed light on the future studies.

References

  • Abdul Rahman, R., Alsmady, A., Ibrahim, Z., & Muhammad, A. D. (2014). Risk Management Practices in Islamic Banking Institutions: A Comparative Study Between Malaysia and Jordan. The Journal of Applied Business Research, 30 (5), pp. 1295 – 1304.
  • Abdul Rahman, R., Balqis, S., & Dean, F. (2013). Assessing the risk management practices of Islamic banks: empirical evidence from Malaysia and Pakistan. Journal of Islamic Economics, Banking and Finance, 9(4), pp. 11-31.
  • Akhtar, M. F., Ali, K., & Sadaqat, S. (2011). Liquidity risk management: A comparative study between conventional and Islamic banks of Pakistan. Interdisciplinary Journal of Research in Business, 1 (1), pp. 35-44.
  • Al Rahahleh, N., Bhatti, M. I., & Misman, F. N. (2019). Developments in risk management in Islamic finance: A review. Journal of Risk and Financial Management, ISSN 1911-8074, MDPI, Basel, 12(1), pp. 1-22. https://doi.org/10.3390/jrfm12010037 E.T. 5.5.2021
  • Ariffin, N. M., & Kassim, S. (2014). Risk management practices of selected Islamic banks in Malaysia. Aceh International Journal of Social Sciences, 3 (1), pp. 26-36.
  • Atan, M. (2002). Risk yönetimi ve Türk bankacılık sektöründe bir uygulama. Doktora Tezi. Gazi Üniversitesi Sosyal Bilimler Enstitüsü.
  • Bai, J., & Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72 (4), pp. 1127–1177.
  • Baltagi, B. (2008). Econometric analysis of panel data. John Wiley & Sons.
  • Basel Committee on Banking Supervision. (2001). Consultative Document: Operational Risk.
  • Breitung, J. (2000). The local power of some unit root tests for panel data. In Nonstationary panels, panel cointegration, and dynamic panels (pp. 161-177). Emerald Group Publishing Limited.
  • Breusch, T., & Pagan, A. (1980). The lagrange multiplier test and its application to model specifications in econometrics. Reviews of Economics Studies(47), pp. 239–53.
  • Brigham,E.F.,&Houston, J.F. (2014). Fundamentals of financial management, Translation Editor: N. Aypek, Ankara: Nobel Yayın Dağıtım.
  • Chang, Y., & Park, J. Y. (2002). A revisit to the unit root hypothesis of purchasing power parity using a panel data approach. Journal of Money, Credit and Banking, 34(1), 114-127.
  • Chen, L., Wei, L. J., & Parzen, M. I. (2003). Quantile regression for correlated observations. In proceedings of the second seattle symposium in biostatistics: Analysis of correlated data. lecture notes in statistics, pp. 51-69, Springer, New York.
  • Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249-272.
  • Craney, T. A., & Surles, J. G. (2002). Model-dependent variance ınflation factor cut off values. Quality Engineering, 14(3), s. 391-403, https://doi.org/10.1081/QEN-120001878.E.T. E.T. 5.5.2021
  • Çolak, Ö. F., & Yiğidim, A. (2001). Türk bankacılık sektöründe kriz. Ankara: Nobel Yayın Dağıtım.
  • Ekinci, R., & Poyraz, G. (2019). The effect of credit risk on financial performance of deposit banks in Turkey. Procedia Computer Science(158), pp. 979–987.
  • Fadun, O. S., & Oye, D. (2020). Impacts of operational risk management on financial performance: A case of commercial banks in Nigeria. International Journal of Finance & Banking Studies, 9(1), pp. 22-35.
  • Febianto, I. (2012). Adapting risk management for profit and loss sharing financing of Islamic banks. Modern Economy(3), pp. 73-80.
  • Gujarati, D. (2004). Basic Econometrics. United States Military Academy West Point.
  • Hagemann, A. (2017). Cluster-robust bootstrap ınference in quantile regression models. Journal of the American Statistical Association, 112 (517), pp. 446-456. https://doi.org/10.1080/01621459.2016.1148610. E.T. 05.05.2021
  • Hakkio, C. S., & Rush, M. (1991). Cointegration: how short is the long run?. Journal of International Money and Finance, 10(4), 571-581.
  • Halis, M., & Abdssalm Eltawil, A. E. (2017). Risk Management in Islamic Banks: Findings From Libya. The International Journal of Economic and Social Research, 13 (2), pp. 97-118.
  • Hassan, A. (2009). Risk management practices of Islamic banks of Brunei Darussalam. The Journal of Risk Finance, 10 (1), pp. 23-37.
  • Huber, P. J. (1981). Robust statistics (No. 26). John Wiley & Sons.
  • Hsiao, C. (2003). Analysis of panel data (2nd ed). Cambridge University Press. .
  • Ilias, S. E. B (2012). Risk Management in Islamic Banking. International Proceedings of Economics Development and Research, 55(32), pp. 159-162.
  • Izhar, H., & Hassan, Z. S. A. (2013). Applying core principles of risk management in Islamic banks’ operational risk analysis. Afro Eurasian Studies, 2(1-2), pp. 15-40.
  • Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review, 55(2), pp. 163-172.
  • Kamau, D., & Ayuo, A. (2014). The Effects of working capital management on organizational performance- A survey of manufacturing firms in eldoret municipality. Research Journal of Finance and Accounting, 5(5), pp. 72-80.
  • Khalid, S., & Amjad, S. (2012). Risk management practices of Islamic banks of Pakistan. The Journal of Risk Finance, 13 (2), pp. 148-159.
  • Lopez, C. P. (2015). Econometric models with panel data. create space ındependent publishing platform. ISBN-10:97815076449-97.
  • Makiyan, S. N. (2008). Risk management and challenges in Islamic banks. Journal of Islamic Economics, Banking and Finance, 4(3), pp. 45-53. Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631-652.
  • Mandipa, G., & Sibindi, A. B. (2022). Financial performance and working capital management practices in the retail sector: Empirical evidence from South Africa. Risks 10, 63, pp. 1-17. https://doi.org/10.3390/ risks10030063. E.T. 15.12.2022.
  • Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust statistics: theory and methods. John Wiley & Sons.
  • Mertler, C. A., & Vannatta, R. A. (2005). Advanced and multivariate statistical methods: Practical application and interpretation. Glendale, CA: Pyrczak Publishing.
  • Metin, N. (2013). Avrupa ülkelerinde ekonomik özgürlüğün panel veri modelleri ile analizi. Derin Yayınları.
  • Mudanya, L. E., & Muturi, W. (2018). Effects of financial risk on profitability of commercial banks listed in the Nairobi securities exchange. International Journal of Social Sciences Management and Entrepreneurship, 2(1), pp. 75-93.
  • Noor, J. A. M. (2019). Effect of financial risk on performance of transport firms in Mombasa county. Doctoral Dissertation, JKUAT-COHRED.
  • Olalekan, L. I., Mustapha, L. O., Irom, I. M., & Emily, B. N. (2018). Corporate board size, risk management and financial performance of listed deposit money banks in Nigeria. European Journal of Accounting Auditing and Finance Research, 6 (1), pp. 1-20.
  • Parente, P., & Santos Silva, J. (2016). Quantile regression with clustered data. Journal of Econometric Methods, 5(1), pp. 1-15. https://doi.org/10.1515/jem-2014-0011. E.T. 05.05.2021
  • Parlakkaya, R., Çetin, H., & Demirci, M. N. (2022). Risk management in Islamic banks: A research on the participation banks in Turkey. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(1), pp. 608-636.
  • Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels. Working Paper No: 0435, University of Cambridge.
  • Pesaran, H. (2007). A Simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), pp. 265-312.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Prieto, T., & Lee, Y. (2018). Factors associated with the financial performance of commercial firms in ecuador. 글로벌경영학회지, 15(5), pp. 1-26.
  • Rhanoui, S., & Belkhoutout, K. (2018). Operational Risk in Both Conventional and Islamic Banking Perceptions: Differences and Similarities. European Scientific Journal, ESJ, 14(13), pp. 110-120. https://doi.org/10.19044/esj.2018.v14n13p110. E.T. 15.12.2022.
  • Rohmawati, E., & Shenurti, E. (2019). The ınfluence of financial performance and corporate social responsibility on firm’s value (For companies (Food and beverage sector) listed in Bursa Efek Indonesia). Advances in Economics, Business and Management Research(127), pp. 82-85.
  • Said, A. (2013). Risks and efficiency in the Islamic banking systems: The case of selected Islamic banks in MENA region. International Journal of Economics and Financial Issues, 3 (1), pp. 66-73.
  • Sathyamoorthi, C. R., Mogotsinyana, M., Mphoeng, M., & Mashoko, D. (2020). Impact of financial risk management practices on financial performance: Evidence from commercial banks in Botswana. Applied Finance and Accounting, 6(1), pp. 24-40.
  • Shah, M., Ullah, H., & Khalıd, S. (2012). A comparative study of credit risk in different companies of different sectors in Pakistan. International Journal of Academic Research in Business and Social Sciences, 2 (1), pp. 615- 626.
  • Şamiloğlu, F., Öztop, A. O., & Kahraman, Y. E. (2017). The determinants of firm financial performance: Evidence from Istanbul stock exchange (BIST). IOSR Journal of Economics and Finance (IOSR-JEF), 8(6), pp. 62-67.
  • Van Greuning, H., & Iqbal, Z. (2008). Risk analysis for Islamic banks. The World Bank Washington, D.C.
  • Yohai, V. J. (1987). High breakdown-point and high efficiency robust estimates for regression. The Annals of Statistics, 15(2), 642-656.).
  • Yousfi, I. (2015). Risk management practices and financial performance in Jordan: Empirical evidence from Islamic banks. http://dspace.univ-setif.dz:8888/jspui/bitstream/123456789/926/1/1.d.pdf. E.T.05.05.2021
Year 2023, Issue: 51, 18 - 33, 31.08.2023
https://doi.org/10.52642/susbed.1221549

Abstract

References

  • Abdul Rahman, R., Alsmady, A., Ibrahim, Z., & Muhammad, A. D. (2014). Risk Management Practices in Islamic Banking Institutions: A Comparative Study Between Malaysia and Jordan. The Journal of Applied Business Research, 30 (5), pp. 1295 – 1304.
  • Abdul Rahman, R., Balqis, S., & Dean, F. (2013). Assessing the risk management practices of Islamic banks: empirical evidence from Malaysia and Pakistan. Journal of Islamic Economics, Banking and Finance, 9(4), pp. 11-31.
  • Akhtar, M. F., Ali, K., & Sadaqat, S. (2011). Liquidity risk management: A comparative study between conventional and Islamic banks of Pakistan. Interdisciplinary Journal of Research in Business, 1 (1), pp. 35-44.
  • Al Rahahleh, N., Bhatti, M. I., & Misman, F. N. (2019). Developments in risk management in Islamic finance: A review. Journal of Risk and Financial Management, ISSN 1911-8074, MDPI, Basel, 12(1), pp. 1-22. https://doi.org/10.3390/jrfm12010037 E.T. 5.5.2021
  • Ariffin, N. M., & Kassim, S. (2014). Risk management practices of selected Islamic banks in Malaysia. Aceh International Journal of Social Sciences, 3 (1), pp. 26-36.
  • Atan, M. (2002). Risk yönetimi ve Türk bankacılık sektöründe bir uygulama. Doktora Tezi. Gazi Üniversitesi Sosyal Bilimler Enstitüsü.
  • Bai, J., & Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72 (4), pp. 1127–1177.
  • Baltagi, B. (2008). Econometric analysis of panel data. John Wiley & Sons.
  • Basel Committee on Banking Supervision. (2001). Consultative Document: Operational Risk.
  • Breitung, J. (2000). The local power of some unit root tests for panel data. In Nonstationary panels, panel cointegration, and dynamic panels (pp. 161-177). Emerald Group Publishing Limited.
  • Breusch, T., & Pagan, A. (1980). The lagrange multiplier test and its application to model specifications in econometrics. Reviews of Economics Studies(47), pp. 239–53.
  • Brigham,E.F.,&Houston, J.F. (2014). Fundamentals of financial management, Translation Editor: N. Aypek, Ankara: Nobel Yayın Dağıtım.
  • Chang, Y., & Park, J. Y. (2002). A revisit to the unit root hypothesis of purchasing power parity using a panel data approach. Journal of Money, Credit and Banking, 34(1), 114-127.
  • Chen, L., Wei, L. J., & Parzen, M. I. (2003). Quantile regression for correlated observations. In proceedings of the second seattle symposium in biostatistics: Analysis of correlated data. lecture notes in statistics, pp. 51-69, Springer, New York.
  • Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249-272.
  • Craney, T. A., & Surles, J. G. (2002). Model-dependent variance ınflation factor cut off values. Quality Engineering, 14(3), s. 391-403, https://doi.org/10.1081/QEN-120001878.E.T. E.T. 5.5.2021
  • Çolak, Ö. F., & Yiğidim, A. (2001). Türk bankacılık sektöründe kriz. Ankara: Nobel Yayın Dağıtım.
  • Ekinci, R., & Poyraz, G. (2019). The effect of credit risk on financial performance of deposit banks in Turkey. Procedia Computer Science(158), pp. 979–987.
  • Fadun, O. S., & Oye, D. (2020). Impacts of operational risk management on financial performance: A case of commercial banks in Nigeria. International Journal of Finance & Banking Studies, 9(1), pp. 22-35.
  • Febianto, I. (2012). Adapting risk management for profit and loss sharing financing of Islamic banks. Modern Economy(3), pp. 73-80.
  • Gujarati, D. (2004). Basic Econometrics. United States Military Academy West Point.
  • Hagemann, A. (2017). Cluster-robust bootstrap ınference in quantile regression models. Journal of the American Statistical Association, 112 (517), pp. 446-456. https://doi.org/10.1080/01621459.2016.1148610. E.T. 05.05.2021
  • Hakkio, C. S., & Rush, M. (1991). Cointegration: how short is the long run?. Journal of International Money and Finance, 10(4), 571-581.
  • Halis, M., & Abdssalm Eltawil, A. E. (2017). Risk Management in Islamic Banks: Findings From Libya. The International Journal of Economic and Social Research, 13 (2), pp. 97-118.
  • Hassan, A. (2009). Risk management practices of Islamic banks of Brunei Darussalam. The Journal of Risk Finance, 10 (1), pp. 23-37.
  • Huber, P. J. (1981). Robust statistics (No. 26). John Wiley & Sons.
  • Hsiao, C. (2003). Analysis of panel data (2nd ed). Cambridge University Press. .
  • Ilias, S. E. B (2012). Risk Management in Islamic Banking. International Proceedings of Economics Development and Research, 55(32), pp. 159-162.
  • Izhar, H., & Hassan, Z. S. A. (2013). Applying core principles of risk management in Islamic banks’ operational risk analysis. Afro Eurasian Studies, 2(1-2), pp. 15-40.
  • Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review, 55(2), pp. 163-172.
  • Kamau, D., & Ayuo, A. (2014). The Effects of working capital management on organizational performance- A survey of manufacturing firms in eldoret municipality. Research Journal of Finance and Accounting, 5(5), pp. 72-80.
  • Khalid, S., & Amjad, S. (2012). Risk management practices of Islamic banks of Pakistan. The Journal of Risk Finance, 13 (2), pp. 148-159.
  • Lopez, C. P. (2015). Econometric models with panel data. create space ındependent publishing platform. ISBN-10:97815076449-97.
  • Makiyan, S. N. (2008). Risk management and challenges in Islamic banks. Journal of Islamic Economics, Banking and Finance, 4(3), pp. 45-53. Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631-652.
  • Mandipa, G., & Sibindi, A. B. (2022). Financial performance and working capital management practices in the retail sector: Empirical evidence from South Africa. Risks 10, 63, pp. 1-17. https://doi.org/10.3390/ risks10030063. E.T. 15.12.2022.
  • Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust statistics: theory and methods. John Wiley & Sons.
  • Mertler, C. A., & Vannatta, R. A. (2005). Advanced and multivariate statistical methods: Practical application and interpretation. Glendale, CA: Pyrczak Publishing.
  • Metin, N. (2013). Avrupa ülkelerinde ekonomik özgürlüğün panel veri modelleri ile analizi. Derin Yayınları.
  • Mudanya, L. E., & Muturi, W. (2018). Effects of financial risk on profitability of commercial banks listed in the Nairobi securities exchange. International Journal of Social Sciences Management and Entrepreneurship, 2(1), pp. 75-93.
  • Noor, J. A. M. (2019). Effect of financial risk on performance of transport firms in Mombasa county. Doctoral Dissertation, JKUAT-COHRED.
  • Olalekan, L. I., Mustapha, L. O., Irom, I. M., & Emily, B. N. (2018). Corporate board size, risk management and financial performance of listed deposit money banks in Nigeria. European Journal of Accounting Auditing and Finance Research, 6 (1), pp. 1-20.
  • Parente, P., & Santos Silva, J. (2016). Quantile regression with clustered data. Journal of Econometric Methods, 5(1), pp. 1-15. https://doi.org/10.1515/jem-2014-0011. E.T. 05.05.2021
  • Parlakkaya, R., Çetin, H., & Demirci, M. N. (2022). Risk management in Islamic banks: A research on the participation banks in Turkey. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(1), pp. 608-636.
  • Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels. Working Paper No: 0435, University of Cambridge.
  • Pesaran, H. (2007). A Simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), pp. 265-312.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Prieto, T., & Lee, Y. (2018). Factors associated with the financial performance of commercial firms in ecuador. 글로벌경영학회지, 15(5), pp. 1-26.
  • Rhanoui, S., & Belkhoutout, K. (2018). Operational Risk in Both Conventional and Islamic Banking Perceptions: Differences and Similarities. European Scientific Journal, ESJ, 14(13), pp. 110-120. https://doi.org/10.19044/esj.2018.v14n13p110. E.T. 15.12.2022.
  • Rohmawati, E., & Shenurti, E. (2019). The ınfluence of financial performance and corporate social responsibility on firm’s value (For companies (Food and beverage sector) listed in Bursa Efek Indonesia). Advances in Economics, Business and Management Research(127), pp. 82-85.
  • Said, A. (2013). Risks and efficiency in the Islamic banking systems: The case of selected Islamic banks in MENA region. International Journal of Economics and Financial Issues, 3 (1), pp. 66-73.
  • Sathyamoorthi, C. R., Mogotsinyana, M., Mphoeng, M., & Mashoko, D. (2020). Impact of financial risk management practices on financial performance: Evidence from commercial banks in Botswana. Applied Finance and Accounting, 6(1), pp. 24-40.
  • Shah, M., Ullah, H., & Khalıd, S. (2012). A comparative study of credit risk in different companies of different sectors in Pakistan. International Journal of Academic Research in Business and Social Sciences, 2 (1), pp. 615- 626.
  • Şamiloğlu, F., Öztop, A. O., & Kahraman, Y. E. (2017). The determinants of firm financial performance: Evidence from Istanbul stock exchange (BIST). IOSR Journal of Economics and Finance (IOSR-JEF), 8(6), pp. 62-67.
  • Van Greuning, H., & Iqbal, Z. (2008). Risk analysis for Islamic banks. The World Bank Washington, D.C.
  • Yohai, V. J. (1987). High breakdown-point and high efficiency robust estimates for regression. The Annals of Statistics, 15(2), 642-656.).
  • Yousfi, I. (2015). Risk management practices and financial performance in Jordan: Empirical evidence from Islamic banks. http://dspace.univ-setif.dz:8888/jspui/bitstream/123456789/926/1/1.d.pdf. E.T.05.05.2021
Year 2023, Issue: 51, 18 - 33, 31.08.2023
https://doi.org/10.52642/susbed.1221549

Abstract

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  • Fadun, O. S., & Oye, D. (2020). Impacts of operational risk management on financial performance: A case of commercial banks in Nigeria. International Journal of Finance & Banking Studies, 9(1), pp. 22-35.
  • Febianto, I. (2012). Adapting risk management for profit and loss sharing financing of Islamic banks. Modern Economy(3), pp. 73-80.
  • Gujarati, D. (2004). Basic Econometrics. United States Military Academy West Point.
  • Hagemann, A. (2017). Cluster-robust bootstrap ınference in quantile regression models. Journal of the American Statistical Association, 112 (517), pp. 446-456. https://doi.org/10.1080/01621459.2016.1148610. E.T. 05.05.2021
  • Hakkio, C. S., & Rush, M. (1991). Cointegration: how short is the long run?. Journal of International Money and Finance, 10(4), 571-581.
  • Halis, M., & Abdssalm Eltawil, A. E. (2017). Risk Management in Islamic Banks: Findings From Libya. The International Journal of Economic and Social Research, 13 (2), pp. 97-118.
  • Hassan, A. (2009). Risk management practices of Islamic banks of Brunei Darussalam. The Journal of Risk Finance, 10 (1), pp. 23-37.
  • Huber, P. J. (1981). Robust statistics (No. 26). John Wiley & Sons.
  • Hsiao, C. (2003). Analysis of panel data (2nd ed). Cambridge University Press. .
  • Ilias, S. E. B (2012). Risk Management in Islamic Banking. International Proceedings of Economics Development and Research, 55(32), pp. 159-162.
  • Izhar, H., & Hassan, Z. S. A. (2013). Applying core principles of risk management in Islamic banks’ operational risk analysis. Afro Eurasian Studies, 2(1-2), pp. 15-40.
  • Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review, 55(2), pp. 163-172.
  • Kamau, D., & Ayuo, A. (2014). The Effects of working capital management on organizational performance- A survey of manufacturing firms in eldoret municipality. Research Journal of Finance and Accounting, 5(5), pp. 72-80.
  • Khalid, S., & Amjad, S. (2012). Risk management practices of Islamic banks of Pakistan. The Journal of Risk Finance, 13 (2), pp. 148-159.
  • Lopez, C. P. (2015). Econometric models with panel data. create space ındependent publishing platform. ISBN-10:97815076449-97.
  • Makiyan, S. N. (2008). Risk management and challenges in Islamic banks. Journal of Islamic Economics, Banking and Finance, 4(3), pp. 45-53. Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631-652.
  • Mandipa, G., & Sibindi, A. B. (2022). Financial performance and working capital management practices in the retail sector: Empirical evidence from South Africa. Risks 10, 63, pp. 1-17. https://doi.org/10.3390/ risks10030063. E.T. 15.12.2022.
  • Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust statistics: theory and methods. John Wiley & Sons.
  • Mertler, C. A., & Vannatta, R. A. (2005). Advanced and multivariate statistical methods: Practical application and interpretation. Glendale, CA: Pyrczak Publishing.
  • Metin, N. (2013). Avrupa ülkelerinde ekonomik özgürlüğün panel veri modelleri ile analizi. Derin Yayınları.
  • Mudanya, L. E., & Muturi, W. (2018). Effects of financial risk on profitability of commercial banks listed in the Nairobi securities exchange. International Journal of Social Sciences Management and Entrepreneurship, 2(1), pp. 75-93.
  • Noor, J. A. M. (2019). Effect of financial risk on performance of transport firms in Mombasa county. Doctoral Dissertation, JKUAT-COHRED.
  • Olalekan, L. I., Mustapha, L. O., Irom, I. M., & Emily, B. N. (2018). Corporate board size, risk management and financial performance of listed deposit money banks in Nigeria. European Journal of Accounting Auditing and Finance Research, 6 (1), pp. 1-20.
  • Parente, P., & Santos Silva, J. (2016). Quantile regression with clustered data. Journal of Econometric Methods, 5(1), pp. 1-15. https://doi.org/10.1515/jem-2014-0011. E.T. 05.05.2021
  • Parlakkaya, R., Çetin, H., & Demirci, M. N. (2022). Risk management in Islamic banks: A research on the participation banks in Turkey. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(1), pp. 608-636.
  • Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels. Working Paper No: 0435, University of Cambridge.
  • Pesaran, H. (2007). A Simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), pp. 265-312.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Prieto, T., & Lee, Y. (2018). Factors associated with the financial performance of commercial firms in ecuador. 글로벌경영학회지, 15(5), pp. 1-26.
  • Rhanoui, S., & Belkhoutout, K. (2018). Operational Risk in Both Conventional and Islamic Banking Perceptions: Differences and Similarities. European Scientific Journal, ESJ, 14(13), pp. 110-120. https://doi.org/10.19044/esj.2018.v14n13p110. E.T. 15.12.2022.
  • Rohmawati, E., & Shenurti, E. (2019). The ınfluence of financial performance and corporate social responsibility on firm’s value (For companies (Food and beverage sector) listed in Bursa Efek Indonesia). Advances in Economics, Business and Management Research(127), pp. 82-85.
  • Said, A. (2013). Risks and efficiency in the Islamic banking systems: The case of selected Islamic banks in MENA region. International Journal of Economics and Financial Issues, 3 (1), pp. 66-73.
  • Sathyamoorthi, C. R., Mogotsinyana, M., Mphoeng, M., & Mashoko, D. (2020). Impact of financial risk management practices on financial performance: Evidence from commercial banks in Botswana. Applied Finance and Accounting, 6(1), pp. 24-40.
  • Shah, M., Ullah, H., & Khalıd, S. (2012). A comparative study of credit risk in different companies of different sectors in Pakistan. International Journal of Academic Research in Business and Social Sciences, 2 (1), pp. 615- 626.
  • Şamiloğlu, F., Öztop, A. O., & Kahraman, Y. E. (2017). The determinants of firm financial performance: Evidence from Istanbul stock exchange (BIST). IOSR Journal of Economics and Finance (IOSR-JEF), 8(6), pp. 62-67.
  • Van Greuning, H., & Iqbal, Z. (2008). Risk analysis for Islamic banks. The World Bank Washington, D.C.
  • Yohai, V. J. (1987). High breakdown-point and high efficiency robust estimates for regression. The Annals of Statistics, 15(2), 642-656.).
  • Yousfi, I. (2015). Risk management practices and financial performance in Jordan: Empirical evidence from Islamic banks. http://dspace.univ-setif.dz:8888/jspui/bitstream/123456789/926/1/1.d.pdf. E.T.05.05.2021
There are 56 citations in total.

Details

Primary Language English
Subjects Financial Markets and Institutions
Journal Section Research Articles
Authors

Suna Akten Çürük 0000-0001-5887-4905

Gülşah Şen Küçük 0000-0001-7535-2308

Mine Işık 0000-0002-6363-7143

Raif Parlakkaya 0000-0002-0961-1970

Publication Date August 31, 2023
Submission Date December 31, 2022
Published in Issue Year 2023 Issue: 51

Cite

APA Akten Çürük, S., Şen Küçük, G., Işık, M., Parlakkaya, R. (2023). The Effects of Risk Management Practices on Financial Performance: An Empirical Analysis on Islamic Banks. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(51), 18-33. https://doi.org/10.52642/susbed.1221549

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