ارائه الگوی رتبه‌بندی اعتباری شرکت‌های پذیرفته شده در بازار سرمایه با استفاده از مدل معادلات ساختاری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد مدیریت مالی دانشگاه جامع امام حسین (ع)

2 استادیار مدیریت مالی دانشکده مدیریت و اقتصاد، دانشگاه جامع امام حسین (ع)

3 استاد گروه مدیریت مالی اسلامی، دانشکده مدیریت و اقتصاد، دانشگاه جامع امام حسین (ع)، تهران، ایران.

4 فارغ‌التحصیل دکتری علوم اقتصادی، گروه اقتصاد، دانشگاه علامه طباطبایی، تهران، ایران.

چکیده

رتبه‌بندی اعتباری برای مقایسه شرکت‌ها به‌لحاظ ریسک اعتباری با یکدیگر، تصمیم‌گیری مشارکت‌کنندگان بازار سرمایه را تسهیل می‌کند. این پژوهش با هدف شناسایی، وزن‌دهی و طراحی الگوی رتبه‌بندی اعتباری شرکت‌های پذیرفته شده در بازار سرمایه برای 19 صنعت انجام شد.
برای شناسایی شاخص‌های تعیین‌کننده و طراحی الگوی رتبه‌بندی اعتباری از رویکرد (کیفی-کمی) بهره‌گرفته شد. در بخش کیفی شاخص‌های نهایی از مطالعه ادبیات نظری و سپس اعتبارسنجی با خبرگان به‌دست آمد. در بخش کمی نیز از معادلات ساختاری برای تعیین روابط بین شاخص‌ها و مولفه‌ها شد.
با مطالعه ادبیات نظری و اعتبارسنجی با خبرگان 46 شاخص نهایی به عنوان عوامل تاثیرگذار روی رتبه اعتباری شرکت‌های پذیرفته شده در بازار سرمایه شناسایی شد. با تعیین روابط بین شاخص‌ها و مولفه‌ها با استفاده از معادلات ساختاری، 6 شاخص حذف و مشخض شد که مولفه‌های نقدینگی، سودآوری و رشد، مسئولیت اجتماعی و زیست‌محیطی، کیفیت حسابداری و کیفیت دارایی و اندازه شرکت به صورت مستقیم و مولفه‌های صنعت، نسبت‌های ارزش بازار، نسبت‌های اهرمی، نسبت‌های کارایی، کیفیت حسابرسی و کیفیت مدیریت به صورت غیرمستقیم و از طریق مولفه‌های دیگر روی رتبه اعتباری تاثیرگذار هستند. مولفه نسبت‌های نقدینگی و سودآوری و رشد به ترتیب با ضریب رگرسیونی 0.574 و 0.352 تاثیرگذارترین عوامل روی رتبه اعتباری شرکت‌ها بودند.
تاثیرگذاری 12 مولفه روی رتبه اعتباری نشان می‌دهد که شرکت‌های پذیرفته شده در بازار سرمایه برای بهبود وضعیت اعتباری خود، می‌بایست به همه عوامل از جمله وضعیت نقدینگی ،ساختار سرمایه شرکت و سودآوری و رشر توجهات لازم را داشته باشند تا بتوانند به‌سهولت به منابع مالی مورد نیاز دسترسی داشته باشند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Presenting a credit rating model for companies listed on the capital market using the structural equation model

نویسندگان [English]

  • hamed bashokouh ajirlu 1
  • Hamid Mortazaniya 2
  • Mohammad Solgi 3
  • Mahdi Ahmadi 4
1 Master's student in financial management of Imam Hossein University (AS)
2 Assistant professor, Department of Financial Management, Faculty of Management and Economics, Imam Hussien University (AS), Tehran, Iran
3 Professor Assistant of the Department of Financial Management, Faculty of Management and Economics, Imam Hossein University, Tehran, Iran
4 Graduated from the Department of Economics, Allameh Tabatabaei University, Tehran, Iran..
چکیده [English]

Purpose: Credit ratings facilitate decision-making by capital market participants to compare companies in terms of credit risk. This research aimed to identify, weight, and design a credit rating model for companies listed on the capital market for 19 industries.
Method: A qualitative-quantitative approach was used to identify the determinants and design the credit rating model. In the qualitative part, the final indicators were obtained from a study of theoretical literature and then validated with experts. In the quantitative part, structural equations were used to determine the relationships between indicators and components and design the credit rating model.
Findings: By studying theoretical literature and validating with experts, 46 final indicators were identified as factors affecting the credit rating of companies listed on the capital market. By determining the relationships between indicators and components using structural equations, 6 indicators were eliminated and it was determined that the components of liquidity, profitability and growth, social and environmental responsibility, accounting quality and asset quality and company size directly affect the credit rating and the components of industry, market value ratios, leverage ratios, efficiency ratios, audit quality and management quality indirectly and through other components affect the credit rating. The components of liquidity ratios and profitability and growth were the most influential factors on the credit rating of companies with a regression coefficient of 0.574 and 0.352, respectively.

کلیدواژه‌ها [English]

  • Credit ratings
  • listed companies in capital market
  • capital market
  • and credit risk
Ahmadpour, Ahmad, and Montazeri, Hadi. (2011). The type of earnings management and the effect of company size, ownership structure and corporate governance on it. Accounting Advances (Shiraz Social and Human Sciences), 3(2 (3/61)), 1-35 (In persian)
Agosto, A., Giudici, P., & Tanda, A. (2023). How to combine ESG scores? A proposal based on credit rating prediction. Corporate Social Responsibility and Environmental Management.
Altman, Edward (1968), "Financial Ratios, Discriminant Analysis and the Predition of Corporate Bankruptcy", Journal of Finance, Vol. 23, No. 4.
Amiri, Maghsoud, Beki Haskoei, Morteza, and Biglari Kami, Mehdi. (2013). Ranking of manufacturing companies in Tehran Stock Exchange using multiple criteria decision-making models and artificial neural networks. Investment Knowledge, 2(7), 73-84. (In persian)
Anand, Vivake, Kamran A. Soomro, and Solanki Suneel K. 2016. Determinants of credit rating and optimal capital structure among Pakistani banks. The Romanian Economic Journal 19: 169–82.
Ashbaugh-Skaife,H.Collins,D.W &LaFond, R. (2006). The effects of corporate governance on firms’ credit ratings. Journal of Accounting and Economics 42. 203-243.
Attig, N., El Ghoul, S., Guedhami, O., & Suh, J. (2013). Corporate Social Responsibility and Credit Ratings. Journal of Business Ethics, 117(4), 679–694. 
Bannier, Ch., Bofinger, Y., Rock, B (2021), Corporate social responsibility and credit risk, Finance Research Letters, Volume 44.
Belori, Amin and Azad. (1402). The effect of social and environmental information disclosure on companies' credit ratings. Accounting and Management Perspectives, 5(76), 45-57. (In persian)
Bernstein, P. L. (1997). “Against the Gods: the Fascinating History of Risk.” Rio de Janeiro: Campus.
Cha , Myungki ., Kookjae Hwang, Sogang (2019) Relationship Between Audit Opinion And Credit Rating: Evidence From Korea, The Journal of Applied Business Research – March/April, Volume 32
Chodnicka-Jaworska, P. (2020). Is bigger better? The impact of the size of banks on credit ratings. Financial Internet Quarterly, 16(2), 24-36.
Chodnicka-Jaworska, P. (2021). ESG as a Measure of Credit Ratings. Risks 9: 226.
Choi, J., Suh, Y., & Jung, N. (2020). Predicting corporate credit rating based on qualitative information of MD&A transformed using document vectorization techniques. Data technologies and applications, 54(2), 151-168.
Christensen, H. B., & Nikolaev, V. V. (2012). Capital versus performance covenants in debt contracts. Journal of Accounting Research. 50: 75–116.
Daneshvar Bandari, Masih Abadi and Shoorvarzi. (1400). The role of earnings quality in credit risk estimation. Financial Management Strategy, 9(1), 203-224. (In persian)
David, W. (2000). "Neural network credit scoring models". Computers & Operatino Research, 27(11-12), 1131-1152.
Doumpos, M., & Zopounidis, C. (2011). A Multicriteria Outranking Modeling Approach for Credit Rating. Decision Sciences, 42(3), 721–742. 
Gong, J. (2020). Earnings Management and Credit Rating. Asia-pacific Journal of Convergent Research Interchange (APJCRI), 13-21.
Grishunin, S., and Egorova A. Comparative Analysis of the Predictive Power of Machine Learning Models for Forecasting the Credit Ratings of Machine-Building Companies. Journal of Corporate Finance Research. 2022;16(1): 99-112.
Grunert, J., Norden, L., & Weber, M. (2005). The role of non-financial factors in internal credit ratings. Journal of Banking & Finance, 29(2), 509–531. 
Hajiha, Zohreh and Bakhshi, Nayreh. (1400). Investigating the relationship between accounting information and credit risk in companies listed on the Tehran Stock Exchange. Accounting and Auditing Studies, 6(24). 53-68. (In persian)
Hajiha, Zohreh, and Ghorbani, Ayub. (1400). The effect of social responsibility on corporate credit ratings with regard to the moderating role of low-to-high volatility of stock returns. Accounting Knowledge, 12(2 (45th issue), 105-121. (In persian)
Hamzeh, Davoud, (2018), Investigating the Effect of Auditor's Opinion on the Reliability of Annual Reports, Comparative Studies in Financial Management and Accounting, Volume 2, No. 3, pp. 52-65. (In persian)
Hasan, M. M., Hossain, A., & Hossain, T. (2023). CEO inside debt holdings and credit ratings. Journal of Contemporary Accounting & Economics19(1), 100337.
Hasas Yeganeh, Yahya, (2006), "Corporate Governance in Iran", Auditor Quarterly, No. 32. (In persian)
Hendratama,ZuniBarokah .(2020), “Related Party Transactions and Firm Value: The Moderating Role of Corporate Social Responsibility Reporting”, China Journal of Accounting Research, Vol. 13, Issue 2, PP. 223-236.
Heydarai, Khoshkar, Farzin, Gorjizadeh and Davud. (1400). Investigating the relationship between auditor's opinion and risk management with credit ratings of companies listed on Tehran Stock Exchange. Management Accounting Perspective, 4(46), 94-108. (In persian)
Jafari, Seyedeh Mahboobeh and Ahmadvand, Meysam. (2015). Credit Rating of Companies Listed in Tehran Stock Exchange Using Emerging Market Score Approach. Journal of Economics and Business, 6(10), 37-56. (In persian)
Jalili, Mohammad. (2010). Banking and insurance customers credit rating system, a case study: the experience of Iran's credit rating consulting company. Money and Economy, 2(4), 221-242. (In persian)
Katsimperis, V., & Andrikopoulos, A. (2021). Creating a flexible business credit rating model using multicriteria decision analysis. Journal of Multi‐Criteria Decision Analysis28(1-2), 45-67.
Klein, C. (2020). Quantitative credit-rating models including ESG factors. The Journal, 1.
Lu, C. W., Chen, T. K., & Liao, H. H. (2010). Information uncertainty, information asymmetry and corporate bond yield spreads. Journal of Banking & Finance. 34: 2265–2279.
Ma, Z., Ruan, L., Wang, D., & Zhang, H. (2021). Generalist CEOs and credit ratings. Contemporary accounting research38(2), 1009-1036.
Mansourfar, Didar, Hamzeh, and Hossein Pour. (2015). Investigating the Effect of Management Ability on Earnings Quality of Companies Listed on Tehran Stock Exchange. Journal of Financial Accounting Research. 7 (1). 37-54. (In persian)
Mashayek, Shahrokhi and Seyedeh Samaneh. (2015). The credit rating system of companies in the world. Accounting and Social Benefits, 5(1), 131-148. (In persian)
Moalla, H., & Baili, R. (2019). Credit ratings and audit opinion: evidence from Tunisia. Journal of Accounting in Emerging Economies, 9(1), 103–125. 
Murcia, Flávia Cruz de Souza and et al (2014). The determinants of credit rating: Brazilian evidence. BAR - Brazilian Administration Review11 (2). 188-209.
Pahlavan, Khan Mohammadi, Mohammad Hamed and Yazdani. (1402). Explaining the credit rating model in the investment industry. Investment Knowledge, 13(50), 333-347. (In persian)
Pamuk, Mustafa, and Matthias Schumann. 2023. Opening a New Era with Machine Learning in Financial Services? Forecasting Corporate Credit Ratings Based on Annual Financial Statements. International Journal of Financial Studies 11: 96. https://doi.org/ 10.3390/ijfs11030096.
Papadimitri, P., Pasiouras, F., Tasiou, M., & Ventouri, A. (2020). The effects of board of directors’ education on firms’ credit ratings. Journal of Business Research116, 294-313.
Park, J. W., Nam, G., Tsang, A., & Lee, Y. J. (2022). Firstborn CEOs and credit ratings. The British Accounting Review54(4), 101083.
Pol, S., & Ambekar, S. S. (2022). Predicting Credit Ratings using Deep Learning Models–An Analysis of the Indian IT Industry. Australasian Accounting, Business and Finance Journal16(5), 38-51.
Rashid, M. K., ul Haq, M. N., Khalid, U., & Basit, A. (2021). Significance of Financial and Non Financial Information on Credit Rating: An Empirical Study on Banking and Insurance Sectors of Pakistan. Journal of Accounting and Finance in Emerging Economies7(3), 757-765.
Saito, M., & Yamanaka, S. (2021). Performance evaluation of least-squares probabilistic classifier for corporate credit rating classification problem. JSIAM Letters13, 9-12.
Sharma, C., Singh, A., & Yadav, R. (2023). Impact of Competition in Credit Rating Industry: Evidence From India. SAGE Open13(1), 21582440221135107.
Sindhu, M. I., Mata, M. N., Naveed, M., Mata, P. N., Martins, J. N., Correia, A. B., & Rita, J. X. (2021). Implications of Corporate Social Responsibility on Credit Rating: A Context of Developing Economy. Academy of Strategic Management Journal20, 1-11.
Standard & Poor’s (2001) . Rating Methodology: Evaluating The Issuer. Corporate Rating Criteria. (New York:  Standard & Poor’s)
Vali Elahi, Mirabi, Vahid Reza and Ranjbar. (1402). Customer credit rating model based on life cycle and financial ratios: Audit analysis approach. Investment Knowledge, 12(46), 25-41. (In persian)
Vazgazi Doost, Hossein, Ahmadvand, Meysam, and Sadevand, Mohammad Javad. (2016). Testing the effect of corporate governance factors on credit rating in the framework of the emerging market rating model (case study: Tehran Stock Exchange). Financial Knowledge, Securities Analysis (Financial Studies), 9(30), 95-113. (In persian)
Wongsuwatt, Sippavit and Wipada Thaothampitak; Nattanicha Kongjam; Jutamat Ruttanapibool; Ruttawit Apacuppakul; Thawanhathai Koedkaeo. (2021) The Influence of Loss Ratio on Profitability of Non-Life Insurance Companies in Thailand: The Moderating Roles of Company Type. Journal of Community Development Research (Humanities and Social Sciences), 14(1), 46-60.
Yang, R. (2020). Credit ratings in the age of environmental, social, and governance (ESG). Social, and Governance (ESG)(April 18, 2020).