دوره 10، شماره 35 - ( 1-1398 )                   سال10 شماره 35 صفحات 144-111 | برگشت به فهرست نسخه ها


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Ghaemi Asl M, Ghasemi Nik E. Investigating the Assets Quality in Banking System in Iran with Emphasis on Liquidity and Non-Performing Loans Reserve Buffers. jemr 2019; 10 (35) :111-144
URL: http://jemr.khu.ac.ir/article-1-1808-fa.html
قائمی اصل مهدی، قاسمی نیک الهه. ارزیابی کیفیت دارایی در نظام بانکی ایران با تاکید بر سپر نقدینگی و سپر ذخیره مطالبات غیرجاری. تحقیقات مدلسازی اقتصادی. 1398; 10 (35) :111-144

URL: http://jemr.khu.ac.ir/article-1-1808-fa.html


1- دانشکده اقتصاد، دانشگاه خوارزمی ، m.ghaemi@khu.ac.ir
2- دانشکده اقتصاد، دانشگاه خوارزمی
چکیده:   (4006 مشاهده)
در این پژوهش، به بررسی عوامل موثر بر کیفیت دارایی در نظام بانکی ایران و ارائه  دلالت هایی جهت ایجاد سپرهای مناسب نقدینگی و مطالبات غیرجاری در مدیریت دارایی های بانکی پرداخته شده است. بدین منظور داده های آماری مربوط به متغیرهای کلان اقتصادی و صورت های مالی 30 بانک از سال 1385 تا 1395 در چارچوب یک تصریح پویای پانلی، مورد استفاده قرار گرفته است. نتایج نشان  می دهد که میان نرخ تورم، نرخ رشد تولید ناخالص داخلی، سهم بانک از درآمدهای مشاع، ساختار انحصاری بازار بانکی و نقدینگی با کیفیت دارایی، ارتباط معنی‌داری وجود دارد ولی نرخ رشد تسهیلات و ذخیره های اختصاصی و عمومی مطالبات غیرجاری، تاثیر معنی‌داری بر کیفیت دارایی ندارند. بنابراین چارچوب و میزان نگهداری ذخایر اختصاصی و عمومی مطالبات غیرجاری (برخلاف سپر نقدینگی)، نتوانسته است سپر لازم برای بهبود کیفیت دارایی بانکی را فراهم آورد؛ از این رو یکی از مهم ترین دلایل تشدید مداوم و عدم مدیریت حجم مطالبات در سیستم بانکی، کژکارکردی و عدم رعایت قانون در نگهداری ذخایر عمومی و اختصاصی است. لازمه اصلاح این شرایط، نظارت دقیق بر حجم ذخایر پیش از تجدید تسهیلات و اضافه برداشت مضاعف از بانک مرکزی و سایر بانک¬ها و موسسات اعتباری است.
متن کامل [PDF 3246 kb]   (2626 دریافت)    
نوع مطالعه: توسعه ای | موضوع مقاله: پولی و مالی
دریافت: 1397/11/9 | پذیرش: 1398/2/15 | انتشار: 1398/3/20

فهرست منابع
1. Abata, M. A. (2014). Asset Quality and Bank Performance: A Study of Commercial Banks in Nigeria. Research Journal of Finance and Accounting, 5(18), 39-44.
2. Abdul Gafoor, C. P., Mariappan, V., Thyagarajan, S. (2018). Does the Board Structure Affect the Asset Quality of the Banks? Evidence from India. IIM Kozhikode Society & Management Review, 7(2), 122- 131. [DOI:10.1177/2277975218767564]
3. Ahmadian, M. (2005). An Industrial Economy with a New Approach. Tehran: Publishers of collegiate Jahad, Tehran University.
4. Alhassan, A. L., Kyereboah-Coleman, A., Andoh, C. (2014). Asset Quality in a Crisis Period: An Empirical Examination of Ghanaian Banks. Review of Development Finance, 4(1), 50-62. [DOI:10.1016/j.rdf.2014.03.001]
5. Alizadeh Janvisloo, M., Muhammad, J. (2013). NonPerforming Loans Sensitivity to Macro Variables: Panel Evidence from Malaysian Commercial Banks. American Journal of Economics.
6. Alizadeh, M., Golkhandan, A. (2015). Leviathan Hypothesis Testing for the Iranian Economy by Using Generalized Method of Moments (GMM). Quarterly Journal of Applied Economics Studies in Iran, 4 (14), 141- 166.
7. De Bock, R., Demyanets, A. (2012). Bank Asset Quality in Emerging Markets: Determinants and Spillovers. International Monetary Fund (IMF) Working Paper, WP/12/71. [DOI:10.5089/9781475502237.001]
8. Dizaji, M., Panahi, H., Taghizadeh, H. (2009). The effect of military costs on foreign debts in developing countries. Journal of Economic Modeling, No. 7, 117- 136.
9. Eslamloueyan, K., Yazdanpanah, H., Khalilnezhad, Z. (2018). The Existence of a Risk-Taking Channel of Monetary Policy Transmission in Iran's Banking System. journal of Economic Modeling Research, 8 (31), 7-40.
10. Ezeoha, A. E. (2011). Banking Consolidation, Credit Crisis and Asset Quality in a Fragile Banking System: Some Evidence from Nigerian Data. Journal of Financial Regulation and Compliance, 19(1), 33-44. [DOI:10.1108/13581981111106158]
11. Farzinvash, A., heydari, H. (2011). Examining indirect effects of monetary policy on bank lending, through the balance-sheet items of the public and private banks. journal of Economic Modeling Research, 1 (2), 145-171.
12. Ghasempure, Sh., Salimi, M. J., Ebrahimi Sarv Alia, M. H., Ebrahimi, M. (2016). Analyzing the criteria for health assessment and stability of the banking system using the DEMETL method. Journal of Quantitative Studies in Management, No. 27, 93-112.
13. Grier, W. A. (2007). Credit Analysis of Financial Institutions. United Kingdom: Euromoney Institution Investor PLC, 2nd edition.
14. Hoggarth, G., Sorensen, S., Zicchino, L. (2005). Stress Tests of UK Banks Uusing a VAR Approach. Working Paper no. 282. Bank of England. [DOI:10.2139/ssrn.872693]
15. Hsiao, C. (1986). Analysis of panel data. Cambridge university press.
16. Islamic financial services board. (2012). Guiding principles on liquidity risk management for institution offering Islamic financial services [excluding Islamic insurance (takaful) institutions and islamic collective investment schemes].
17. Islamoglu, M. (2015). The Effect of Macroeconomic Variables on Non - performing Loan Ratio of Publicly Traded Banks in Turkey. Wseas transactions on business and economics. Vol (12).
18. Jim, H. Y. (2016). Impact of Macroeconomics and Bank Specifics on Nonperforming Loans and Banking Sustainability Performance. International Journal of Innovation and Applied Studies, 18 (4), 972-989.
19. Khemraj, T., Pasha, S. (2009). The Determinants of Non-Performing Loans: An Econometric Case Study of Guyana. MPRA Paper No. 53128.
20. Mehrabian, A., Seyfipure, R. (2016). Pathology of Performing Loans in Iran's Banking System. Quarterly Journal of Financial Economics, 10 (36).
21. Mehrabi, L. (2013). Management of Asset and Debt in Islamic Banks: Report of the Third Day of Islamic Banking Winter School. Article number 4.
22. Mirza'i, E., Mohammadi, T., Shakeri, A. (2016). The Interaction between Non-Performing Loans and Macroeconomic Conditions: A Panel Vector Autoregressive Approach. Journal of Economic Research, 16 (60), 183- 220.
23. Mohammadi, T., Shakeri, A., Eskandari, F., Karimi, D. (2016). Investigating The Effect of Exchange Rate Volatility on Non-Performing Loans in the Banking System of Iran. Journal of Planning and Budgeting, 21 (2), 3- 24.
24. Moinescu, B. G. (2012). Determinants of Nonperforming Loans in Central and Eastern European Countries: Macroeconomic Indicators and Credit Discipline. REBS (Review of Economic and Business Studies), 5(2).
25. Monjazeb, M., Mahmoodi Pati, M. (2017). Government Size and Inflation in Developing Countries: A Panel Data Approach. journal of Economic Modeling Research, 7 (26), 65-87. [DOI:10.18869/acadpub.jemr.7.26.65]
26. Muneer, S., Ishtiaq, M., Shahid Tufail, M., Sarwar, S. (2017). Determinants of Bank Asset Quality and Profitability. Journal of Managerial Sciences, Vol. XI, Number 3.
27. Nkusu, M. (2011). Non performing Loans and Macrofinancial Vulnerabilities in Advanced Economies. International Monetry Fund (IMF) Working Paper, WP/11/161. [DOI:10.5089/9781455297740.001]
28. Office of Banking Studies and Regulation of the Central Bank of the Islamic Republic of Iran. (2015). A statement of acceptance of the costs associated with the special reserve for doubtful loans of banks and unauthorized credit institutions as tax acceptable cost. No. 93/ 349105, Date. 2015/ 03/ 16.
29. Ongore, V. O., Kusa, G. B. (2013). Determinants of financial performance of commercial banks in Kenya. International Journal of Economics and Financial Issues, 3 (1), 237- 252.
30. Pustinchi, M., Tahsili, H., Karimzadeh, M. (2016). The impact of competition in the banking industry on the stability of banks. Two Journal of monetary Economics and financial (Former Science and Development), New course, 23 (11).
31. Pustinchi, M. (2013). The Impact of Competition in the Banking Industry on Banks delayed loans. Economic magazine, No. 7 and 8, 5- 18.
32. Rajabzadeh Maghani, N., Salimifar, M., Seyed Aghahosseini, M. (2015). Investigating the Impact of Investing in Human Capital on Economic Growth in Middle Eastern area and North African Countries Using the GMM Method. journal of research and planning in higher education, 21(1), 1- 19.
33. Seraj, S., Taheri, M. (2012). Banking surveillance based on a quick warning system, using the CAMEL ratio in format of the Logit model. Monetary and Banking Research, No. 12.
34. Seyed shokri, KH., Garusi, S. (2015). Investigating the Factors Affecting on increase Non- Performing Loans in the Banking System of the Country. Journal of Economic Sciences, 9 (31).
35. Shahchera, M., Abolfathi, F. (2016). Investigating the Factors affecting on the banking assets quality in Iran's Banking system. Journal of Economic Development Policy, Alzahra University, 4 (3).
36. Shamsabadi, P., Karimkhani, A. (2011). Investigating Bank Optimum Size from Economically (Case Study: Bank Sepah), Research and Risk Management Department.
37. Shingjergji, A. (2013). The Impact of Macroeconomic Variables on the Non Performing Loans in the Albanian Banking System during 2005-2012. Academic Journal of Interdisciplinary Studies MCSER Publishing- Rome, Italy, 2 (9). [DOI:10.5901/ajis.2013.v2n9p335]
38. Shu, Ch. (2002). The impact of Macroeconomics environment on the asset quality of Hong Kong's banking sector. Hong Kong Monetary Authority.
39. Suri, A. (2017). Advanced Econometrics (2). Tehran: Publication of farhang shenasi.
40. Swamy, V. (2017). Determinants of Bank Asset Quality and Profitability: An Empirical Assessment. Applied Economics Quarterly Vol. 63, No 1. [DOI:10.3790/aeq.63.1.97]

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