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پیش‌بینی بحران مالی در بانک‌ها با استفاده از مدل‌های معادلات ساختاری | ||
| راهبرد مدیریت مالی | ||
| مقاله 1، دوره 11، شماره 2 - شماره پیاپی 41، تیر 1402، صفحه 1-28 اصل مقاله (654.11 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22051/jfm.2023.42910.2788 | ||
| نویسندگان | ||
| محمد سلیمانی* 1؛ محمد عرب‌مازار یزدی2؛ جواد شکرخواه3؛ محمدحسین صفرزاده4 | ||
| 1دانشجوی دکتری، گروه حسابداری، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران. | ||
| 2دانشیار، گروه حسابداری، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران | ||
| 3دانشیار، گروه حسابداری، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران | ||
| 4استادیار، گروه حسابداری، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران | ||
| چکیده | ||
| هدف از انجام این پژوهش، ارائه مدلی یکپارچه جهت پیش‌بینی وقوع بحران مالی در بانک‌ها است. برای انجام این‌کار، ابتدا ادبیات نظری موجود حول موضوع پژوهش بررسی شده و عوامل اثرگذار بر بحران مالی در بانک‌ها شناسایی شده است. در ادامه داده‌های پژوهش برای 21 بانک نمونه از سال 1391 تا سال 1400، جمع‌آوری و تجزیه و تحلیل شده و مدل پیش‌بینی بحران مالی در بانک‌ها با استفاده از روش معادلات ساختاری، مدل‌سازی شده است. در نهایت، برای بررسی میزان دقت مدل طراحی‌شده، از روش شبکه‌های عصبی مصنوعی استفاده شده است. نتایج حاصل از پژوهش نشان داد که عوامل مالی، عوامل درونی غیرمالی، عوامل صنعت و عوامل کلان بر بحران مالی در بانک‌ها موثر هستند و متغیرهای منابع انسانی، حاکمیت شرکتی، ریسک نقدینگی و نسبت کفایت سرمایه مهم‌ترین متغیرها در پیش‌بینی بحران مالی هستند. همچنین، این مدل توانسته است بانک‌های دارای بحران و بانک‌های سالم را با دقت 100 درصد در هر دو گروه آموزش و آزمایش به درستی پیش‌بینی نماید. این مدل می‌تواند با معرفی عوامل موثر بر بحران، فرصت مناسب جهت انجام اقدامات پیشگیرانه و اصلاحی را در اختیار مدیران بانک‌ها و همچنین بانک مرکزی قرار دهد. | ||
| کلیدواژه‌ها | ||
| بحران مالی بانکی؛ مدل پیش‌بینی بحران؛ مدل معادلات ساختاری؛ شبکه‌های عصبی مصنوعی | ||
| عنوان مقاله [English] | ||
| Anticipation of Financial Crisis in Banks by Structural Equations Model | ||
| نویسندگان [English] | ||
| Mohammad Soleymani1؛ Mohammad ArabMazar Yazdi2؛ Javad Shekarkhah3؛ Mohammad Hoseyn Safarzadeh4 | ||
| 1PhD student, Department of Accounting, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran. | ||
| 2Associate Professor, Management and Accounting faculity, Shahid Beheshti University, Tehran, IRAN | ||
| 3Associate Professor, Department of Accounting, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran | ||
| 4Assistant Professor, Department of Accounting, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran | ||
| چکیده [English] | ||
| Undeniable effects of banking crisis on economy and need for anticipating the crisis before occurrence, remind necessity of existence of a model for anticipating the banking crisis. The aim of this study is to provide a complete model that includes all of the effective variables on the banking crisis, so we can help better anticipation of banking crisis. For doing this research, the literature was studied and variables that cause banking crisis was identified. Next, research data for 21 banks from 2013 to 2022 was gathered and analyized. The research model was developed by structural equations modeling method. Finally for measuring the models precision, artificial neural networks was employed. The result of the research shows that financial variables, Internal non-financial variables, banking sector variables and macroeconomic variables cause bank distress and most important factors in bank distress anticipation are: human resource, corporate governance, liquidity and capital adequacy. Also, this model could distinguish between distressed bank and healthy one in both train and test groups with precision of 100 percent. With introducing the important factors causing the banking distress, this model can provide a buffer for bank managers and central bank for doing the preventive and corrective actions. | ||
| کلیدواژه‌ها [English] | ||
| Financial Crisis in Banks, Crisis Anticipation Model, Structural Equations Model, Artificial Neural Networks | ||
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| مراجع | ||
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Ahmadyan, A. (2013). "An Assesment of Indices of Banking Health in Iranian Banks". Working paper no. 9222, Tehran, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran. (in Persian).
Ahmadyan1, A., & Gorji, M. (2017). "Explaining the Model of Bankruptcy Prediction to Identify Healthy and Risky Banks". Journal of Asset Management and Financing, 5(3), 1-18. (in Persian).
Balcaen, S., & Ooghe, H. (2004). "35 years of studies on business failure: An overview of the classic statistical methodologies and their related problems". The British Accounting Review, 38(1), 63-93.
Casolaro, L., & Gobbi, G. (2007). "Information technology and productivity changes in the banking industry". Economic Notes, 36(1), 43–76.
Constantin, A., Peltonen, T.A., & Sarlin, P. (2018), “Network linkages to predict bank distress”, Journal of Financial Stability, 35 (2), 226-241.
Cleary, S., & Hebb, G. (2016). "An Efficient and Functional Model for Predicting Bank Distress: In and Out of Sample Evidence". Journal of Banking & Finance, 64(1), 101–111.
Climenta, F., Momparlerb, A., & Carmona, Pedro. (2018). "Anticipating Bank Distress in the Eurozone: An Extreme Gradient Boosting Approach". Journal of Business Research, 101, 885-896.
Dianati Dilami, Z. (2009),” Modeling of financial information quality: based on the organizational factors of the firms listed on the Tehran stock exchanged”, Phd Thesis, Tarbiat Modares University, IRAN. (in Persian).
Delis, D., Manthos, S., Pangiotis, K., & Tsoumas, C. (2017). "Formal enforcement actions and bank behavior". Management Science, 63(4), 959-987.
Dominguez, A. A. (2011). "The impact of human resource disclosure on corporate image". Journal of Human Resource Costing & Accounting, 15(4), 279-298.
Du Jardin, P. (2009). "Bankruptcy prediction models: How to choose the most relevant variables?”. Bankers, Markets & Investors, 98, 39–46.
Fernández-Gámez, M. A., Soria, J. A. C., Santos, J. A. C., & Alaminos, D. (2020). “European country heterogeneity in financial distress prediction: An empirical analysis with macroeconomic and regulatory factors”, Economic Modelling, 88, 398-407.
Hajamini, M., Ahmadi Shadmehri, M. T., Falahi, M. A., & Naji Meidani, A. A. (2016). “The Impact of Budget Deficits on Liquidity with the Emphasis on Endogeneity of Banking System Assets”, Journal of Economic Research and Policies, 23 (75), 131-166. (in Persian).
Halteh, K., Kumar, K., & Gepp, A. (2018).” Financial Distress Prediction of Islamic Banks Using Tree-Based Stochastic Techniques”. Managerial Finance, 44(6), 759-773.
HasaseYeghaneh, Y., Habibi, R., & Nazi, B. (2017). "Impact of Asset Quality on Financial Distress in Bank", Quarterly Journal of Islamic Finance and Banking Studies, 3 (6-7), 25-58. (in Persian).
Honarmandi, Z. (2017). “A model for brand accounting”, Phd Thesis, Tarbiat Modares University, IRAN. (in Persian).
Janati Meshkani, A., Arbabian, Sh., & Khojasteh, Z. (2016). "Effect of MacroEconomic Factors on Stability and Risk of Bank". Journal of Monetary & Banking Research, 9 (29), 487-511. (in Persian).
Keimasi, M., Ghafarinejad, A., & Rezaei, S. (2016). “Effects of Sanctions of the Iranian Banking System on Profitability”, Journal of Monetary & Banking Research, 9 (28), 171-198. (in Persian).
Koetter, M., & Poghosyan, T. (2010). “Real estate prices and bank stability”, Journal of Banking & Finance, 34(2), 1129–1138.
Kurniasih, W. W. A. (2021). “Financial distress of registered banking in Indonesia stock exchange: Review of the good corporate governance aspect and banking performance”. European Journal of Business and Management Research, 6 (2), 181-186.
Lobo, G. J. (2017). “Accounting research in banking: A review”, China Journal of Accounting Research, 10 (1), 1-7.
Malekian Kolah Basti, E., & Mohammadi, M. (2019). "Presentation of a model for measuring the financial health in banking of IRAN", Journal of Monetary and Financial Economics, 26(17), 121-154. (in Persian).
Mocetti, S., Pagnini, M., & Sette, E. (2017). "Information technology and banking organization". Journal of Financial Services Research, 51, 313-338.
Moshiri, S., & Nadali, M. (2013). "The Determinants of Banking Crises in Iranian Economy", Journal of Economic Research, 13(48), 1-27. (in Persian).
Naghdi, S. (2018). “Designing and Formulating a Model of Forecasting Major Economic Variables based on Fundamental Accounting Variables”, Phd Thesis, Shahid Beheshti University, IRAN. (in Persian).
Nazar Pour, M. N., Moemeni Nejad, N., & Haghighi, M. (2017). "Bank-Based financial structure and its role in the occurrence of the phenomenon of stagflation in the economy of IRAN", Islamic Economics and Banking, 6(18), 247-266. (in Persian).
Nikbakht, M.R., & Ghorbani, M. (2020). "Identification of Indicators of Banks subject to Bankruptcy Crisis Based on Thematic Analysis Method", Empirical Studies in Financial Accounting, 17(66), 8-51. (in Persian).
Noori, P., Ghaderi, O., & Madani Esfahani, M. (2009). "Investigation the role of financial crisis on banks key indexes". 20th Annual Islamic Banking Seminar, Tehran, IRAN Banking Institute (in Persian).
Nouri Borojerdi, P., Jalili, M., & Mardani, F. (2010). “The Effect of Concentration in the Banking Industry and other Factors on the Profitability of State Banks”, Journal of Money and Economic, 2 (5), 175-202. (in Persian).
Papanikolaou, N. I. (2018). “A Dual Early Warning Model of Bank Distress”. Economics Letters, 162, 127–130.
Parvin, S., Shakeri, A., & Ahmadian, A. (2014). “Balance Sheet Effects of Monetary Policy on Banking System and Macroeconomic Variables of the Iranian Economy: A DSGE Approach”. Iranian Journal of Economic Research, 19(58), 77-115. (in Persian).
Paule-Vianez, J., Gutiérrez-Fernández, M., & Coca-Pérez, J. L. (2020). “Prediction of financial distress in the Spanish banking system an application using artificial neural networks”. Applied Economic Analysis, 28(82), 69-87.
Poghosyan, T., & Cihak, M. (2011). “Determinants of Bank Distress in Europe: Evidence from a New Data Set”. Journal of Financ Service Research, (2011) 40:163–184.
Rahimian, N., Mohammadi, H., & Salehirad, M. (2014). “The Role of Corporate Governance Mechanisms in Banks’ Performance”, Journal of Iranian Accounting Review, 1(1), 97-119. (in Persian).
Rahmani, H. (2012). “Modeling of the Qualitative Characteristics of Financial Reporting's Impacts on the Usefulness of the Financial Reporting”, Phd Thesis, Tarbiat Modares University, IRAN. (in Persian).
Ranji, F., Gholizadeh, M. H., Ramezanpoor, E., & Mousavinia, S. M. (2018). “The Analysis for Impacts of Credit Risk and Liquidity Risk on the Insolvency Risk of Banks in Iran”, Trends Journal, 24 (87). 78-87. (in Persian).
Reixach, A. A. (2001),” The effect of Information and Communication Technologies on the Banking sector and the payment system”, Phd Thesis, University DeGiroma, Spain.
Reveenther, A. (2020), "Impact of sustainable human resource management practice organizational performance of banking sector in trincomalee district in Srilanka", International journal of advanced engineering and management research, 5(6), 57-67.
Sadeghi sharif, J., Talebi, M., Alam Tabriz, A., & Katouzian, M. (2019). “Comparison of Indicators for Determining the Thresholds of Banks' Financial Crisis in EWS Based on Business Cycles”, Journal of Monetary & Banking Research, 11(38), 501-534. (in Persian).
Saroei, S., Vkili Fard, H. R., Taleb Nia, G. (2020). “The prediction of Bankruptcy Risk Investigation Using Artificial Neural Networks Based on Multilayer Perceptron Approach (Empirical Evidence: Tehran Stock Exchange)”, Future study Management, 30(4), 205-217. (in Persian).
Solgi ,M. (2018). “Corporate Governance and Risk Management: Evidence from Iranian Banks”, Journal of Monetary & Banking Research, 11 (37), 467-500. (in Persian).
Summery Of Countery Economic Events. (2019). Tehran, Central Bank of IRAN. (in Persian).
Summery Of Countery Economic Events. (2020). Tehran, Central Bank of IRAN. (in Persian).
Tan, Y., & Floros, C. (2012). “Bank profitability and inflation: the case of China”. Journal of Economic Studies, 39(2), 675-696.
Zarei, Z., & Komijani, A. (2015). "Identification and Anticipation of Banking Crisis in IRAN". Journal of Economic Modelling, 9 (29), 1-23. (in Persian). | ||
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