وام‌دهی ارتباطی در ایران: مطالعه موردی شرکت‌های فهرست‌شده

نوع مقاله : مقاله پژوهشی

نویسندگان

1 فارغ‌التحصیل دوره کارشناسی ارشد دانشکده مدیریت و اقتصاد، دانشگاه صنعتی شریف، تهران، ایران

2 استادیار دانشکده مدیریت و اقتصاد، دانشگاه صنعتی شریف، تهران، ایران

3 دانشیار دانشکده مدیریت و اقتصاد، دانشگاه صنعتی شریف، تهران، ایران

10.22034/epj.2025.22673.2674

چکیده

این مطالعه میزان شیوع و سازوکار وام‌دهی ارتباطی در شبکه بانکی ایران را بررسی می‌کند. برای این منظور، از پایگاه داده منحصربه‌فرد و دستی‌سازی‌شده‌ای استفاده شده که اطلاعات تطبیقی بانک و بنگاه‌های تولیدی فهرست‌شده را دربرمی‌گیرد. اثر علّی پیوندهای مالکیتی میان بانک و بنگاه بر تخصیص اعتبارات بانکی طی سال‌های ۱۳۸۶ تا ۱۳۹۷ را شناسایی کرده و از تکانه تقاضای اعتبار بنگاه برای تفکیک اثر عرضه و تقاضای وام بهره گرفته‌است. همچنین، روابط پیشین بانک-بنگاه نیز کنترل شده تا اثر خالص مالکیت بر عرضه وام سنجیده شود. یافته‌ها نشان می‌دهد مالکیت بانک در یک بنگاه به‌طور معنی‌داری احتمال دریافت وام، حجم وام دریافتی و سهم بانک مرتبط در سبد وام بنگاه را افزایش می‌دهد. به‌ویژه، بنگاه‌های مرتبطی که ریسک بالاتری دارند، به میزان بیشتری از تسهیلات بانکی بهره‌مند شده‌اند؛ این امر، شواهدی تجربی در تأیید فرضیه چپاول‌گرایانه در وام‌دهی ارتباطی فراهم می‌کند. نتایج پژوهش نسبت به شاخص‌های مختلف تعریف رابطه مالکیتی (شامل حق جریان نقدی و حق رأی) و تغییر آستانه‌های مالکیت، پایدارند. یافته‌ها حاکی از آن است که وام‌دهی ارتباطی حتی در سطوحی پایین‌تر از حدود تعریف‌شده توسط بانک مرکزی نیز رواج دارد و بر ضرورت تقویت شفافیت اطلاعاتی و سازوکارهای حاکمیت شرکتی در نظام بانکی کشور تأکید دارد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Connected Lending in Iran: Evidence from Listed Companies

نویسندگان [English]

  • Sepideh Hosseini 1
  • Amineh Mahmoudzadeh 2
  • Seyed Ali Madanizadeh 3
1 Graduated from the Graduate School of Management and Economics, Sharif University of Technology, Tehran, Iran.
2 Assistant Professor of Economics, Graduate School of Management and Economics, Sharif University of Technology, Tehran, Iran.
3 Associate Professor of Economics, Graduate School of Management and Economics, Sharif University of Technology, Tehran, Iran.
چکیده [English]

Purpose: Connected lending, defined as the provision of loans by banks to their related parties, represents a critical phenomenon in financial systems worldwide with implications for resource allocation efficiency, financial stability, and governance. This practice can stem from either of two primary mechanisms including a) an informational advantage, where ownership ties reduce information asymmetry and enhance lending efficiency or b) a looting perspective, where banks channel funds to their related entities to the detriment of depositors and minor shareholders. In the context of Iran, where bank-firm ownership relationships are pervasive and the banking sector plays a dominant role in corporate financing, the prevalence and nature of connected lending remain underexplored. Despite the strong interconnectedness between banks and firms, coupled with a regulatory framework that defines the related parties, empirical evidence on how ownership ties influence loan supply decisions is scarce.
This study seeks to address this gap by examining the existence and magnitude of the mechanisms underlying the connected lendings in Iran’s banking system, focusing on the non-financial firms registered over the period from 2007 to 2018. The research aims to quantify the causal impact of bank-firm ownership connections on loan allocation and to discern whether such lending aligns with an informational or looting framework. Thus, it contributes to the literature on financial intermediation and offers insights into the governance challenges facing emerging economies with concentrated ownership structures.
The significance of this investigation lies in its potential to illuminate the allocation of banking resources in Iran, a market characterized by severe financial constraints and a heavy reliance on bank credits due to an underdeveloped corporate bond market. Moreover, the widespread ownership ties between banks and firms (47% of the firms observed in this study) raise concerns about the impartiality of credit allocation.
This study posits two central hypotheses. First, the ownership ties between banks and firms increase the likelihood and amount of loan provision. Second, the connected lending in Iran predominantly reflects a looting mechanism, where riskier related firms disproportionately benefit from credit access.
These hypotheses are tested using a unique hand-collected dataset that integrates bank and firm-level data, providing a granular view of the lending dynamics in an understudied economic context.
Methodology: To investigate connected lending in Iran, this study constructs a novel dataset by merging four distinct sources including a) financial statements of the non-financial firms in the stock market, b) stock portfolios of firms, c) stock portfolios of banks, and d) loan portfolios of banks. This dataset encompasses 260 registered manufacturing firms and 31 banks over the period from 2007 to 2018, yielding 54549 bank-firm-year observations after data cleaning. The ownership relationships are meticulously hand-collected and categorized into five levels of complexity, ranging from direct bank ownership in a firm to indirect ties through multiple intermediaries. Also, cash flow rights and voting rights serve as two measures of ownership.
The empirical strategy leverages a regression framework to estimate the causal effect of ownership ties on loan supply, controlling for the confounding factors. A key innovation is the use of firm-specific credit demand shocks, constructed following Amiti and Weinstein (2018), to disentangle supply-side effects from demand-side influences. This approach isolates the impact of ownership connections on the lending decisions of banks by accounting for the borrowing needs of firms. Additionally, prior bank-firm lending relationships are controlled to distinguish the effect of ownership from relational lending dynamics.
The dependent variables include a) a dummy for loan receipt, b) a dummy for a bank entering the loan portfolio of a firm, c) the share of the bank in the loan portfolio of the firm, and d) the loan-to-sales ratio. These variables capture different dimensions of lending behavior, from probability to volume. Robustness is assessed by varying the ownership definitions and thresholds.
Findings and Discussion: The results provide robust evidence for connected lending in Iran’s banking system. Ownership ties significantly increase both the likelihood and magnitude of loan provision. Specifically, establishing a bank-firm ownership relationship raises the probability of loan reception by 2.11 percentage points and the likelihood of a bank entering the loan portfolio of a firm by 2.06 ppts. Furthermore, such connections elevate the share of the bank in the loan portfolio of the firm by 0.9 ppts and the loan-to-sales ratio by 33%, compared to the sample mean. These effects are economically substantial, given the baseline probabilities and loan volumes in the data.
The relationship between ownership stakes and lending is non-linear, with a diminishing marginal effect as ownership increases. This suggests a trade-off between the benefits granted to the related firms and the costs incurred by the bank stakeholders. A critical finding is that riskier connected firms, i.e., those with higher leverage, greater financial debt, or lower cash reserves, receive disproportionately more loans. This pattern aligns with the looting hypothesis, where banks prioritize related parties regardless of creditworthiness, potentially at the expense of depositors and minor shareholders.
The results are robust to alternative ownership measures (voting rights) and varying thresholds, including those below the 10% related-party definition of the Central Bank of Iran’s. This indicates that connected lending occurs even at low ownership levels.
Conclusions and Policy Implications: This study confirms the pervasive existence of connected lending in Iran, highlighting its significant role in credit allocation. The findings underscore a looting-driven mechanism. The non-linear effect of ownership suggests a strategic calculus by bank insiders, balancing gains in related firms against losses in the bank value. The persistence of connected lending below regulatory thresholds points to deficient oversight, as firms exploit complex ownership structures to circumvent Central Bank rules.
These insights carry important policy implications. First, the Central Bank should enhance transparency in related-party transactions, as lowering ownership thresholds alone may be insufficient given the intricate networks involved. Second, the preferential treatment of riskier firms signals a need for stricter governance and risk management protocols to safeguard the banking system’s stability.
While this study focuses on the firms registered in the stock market, extending the analysis to non-listed entities, potentially less transparent, could reveal even greater distortions. Similarly, exploring how ownership network structures influence lending patterns offers a promising avenue for future research. In conclusion, this research not only advances our understanding of connected lending in Iran but also underscores the broader challenges of governance and financial intermediation in economies with concentrated ownership and limited market discipline.

کلیدواژه‌ها [English]

  • Connected lending
  • Loan supply
  • Bank-firm ownership relationship
  • looting view
  • Iran Banking System
Acharya, V., Davydenko, S. A., & Strebulaev, I. A. (2012). Cash holdings and credit risk. The Review of Financial Studies, 25(12), 3572-3609.
Alfaro, L., García-Santana, M., & Moral-Benito, E. (2021). On the direct and indirect real effects of credit supply shocks. Journal of Financial Economics139(3), 895-921.
Amiti, M., & Weinstein, D. E. (2018). How much do idiosyncratic bank shocks affect investment? Evidence from matched bank-firm loan data. Journal of Political Economy, 126(2), 525-587.
Behr, P., Norden, L., & Noth, F. (2013). Financial constraints of private firms and bank lending behavior. Journal of banking and finance, 37(9), 3472-3485.
Berger, A. N., & Udell, G. F. (1995). Relationship lending and lines of credit in small firm finance. Journal of Business, 351-381.
Bhattacharya, S., & Thakor, A. V. (1993). Contemporary banking theory. Journal of Financial Intermediation, 3(1), 2-50.
Bolton, P., & Scharfstein, D. S. (1996). Optimal debt structure and the number of creditors. Journal of political economy104(1), 1-25.
Boot, A. W., & Thakor, A. V. (1994). Moral hazard and secured lending in an infinitely repeated credit market game. International Economic Review, 899-920.
Cathcart, L., Dufour, A., Rossi, L., & Varotto, S. (2020). The differential impact of leverage on the default risk of small and large firms. Journal of Corporate Finance, 60, 101541.
Charumilind, C., Kali, R., & Wiwattanakantang, Y. (2006). Connected lending: Thailand before the financial crisis. The Journal of Business, 79(1), 181-218.
Cole, R. A. (1998). The importance of relationships to the availability of credit. Journal of Banking and Finance, 22(6-8), 959-977.
Cull, R., Haber, S., & Imai, M. (2011). Related lending and banking development. Journal of International Business Studies, 42, 406-426.
Degryse, H., De Jonghe, O., Jakovljević, S., Mulier, K., & Schepens, G. (2019). Identifying credit supply shocks with bank-firm data: Methods and applications. Journal of Financial Intermediation40, 100813.
Dell'Ariccia, G., Friedman, E., & Marquez, R. (1999). Adverse selection as a barrier to entry in the banking industry. The RAND Journal of Economics, 515-534.
Diamond, D. W. (1984). Financial intermediation and delegated monitoring. The Review of Economic Studies, 51(3), 393-414.
Elyasiani, E., & Goldberg, L. G. (2004). Relationship lending: a survey of the literature. Journal of Economics and Business, 56(4), 315-330.
Fan, R., Ma, L., Pan, J., Yin, S., & Gao, H. (2022). Financial institution shareholding and corporate innovation: Evidence from China. International Review of Economics and Finance, 80, 835-856.
Farajpour, M., Fatemi, S. F., & Ebrahimnejad, A. (2019). Firm interlock and stock price synchronicity: evidence from the Tehran stock exchange. Financial Research Journal, 21(1), 35-58.
Feng, S., Liu, C., & Pu, X. (2022). Connected Lending in Bank Lines of Credit. Journal of Financial Services Research61(2), 187-216.
Hellmann, T. F., Murdock, K. C., & Stiglitz, J. E. (2000). Liberalization, moral hazard in banking, and prudential regulation: Are capital requirements enough?. American Economic Review, 91(1), 147-165.
Khwaja, A. I., & Mian, A. (2011). Rent seeking and corruption in financial markets. Annual Review Economics, 3(1), 579-600.
La Porta, R., Lopez-de-Silanes, F., & Zamarripa, G. (2003). Related lending. The Quarterly Journal of Economics, 118(1), 231-268.
Laeven, L. (2001). Insider lending and bank ownership: The case of Russia. Journal of Comparative Economics, 29(2), 207-229.
Macey, J. R., & Miller, G. P. (1997). Universal banks are not the answer to America's corporate governance “problem”: A look at Germany, Japan, and the US. Journal of Applied Corporate Finance, 9(4), 57-73.
Mahmoudzadeh, A., Ghasemipour, R., & Madanizadeh, S. A. (2023). Latent Related Parties in Groups and Connected Lending: Evidence from Listed Companies in Iran. Available at SSRN 4589320.
Mahmoudzadeh, A., Madanizadeh, S. A., & Nateghi, M. (2021). Estimating loan rate: A case study of Iranian listed companies. Journal of Monetary and Banking Research14(47), 155-186.
Mahmoudzadeh, A., Nili, F., & Nili, M. (2016). Cash conversion cycle and credit constraint: A theoretical/empirical synthesis. The Journal of Economic Studies and Policies, 3(1), 75-100.
Manaresi, F., & Pierri, M. N. (2019). Credit supply and productivity growth. International Monetary Fund.
Marquez, R. (2002). Competition, adverse selection, and information dispersion in the banking industry. The Review of Financial Studies, 15(3), 901-926.
Maurer, N., & Haber, S. (2007). Related lending and economic performance: Evidence from Mexico. The Journal of Economic History67(3), 551-581.
Modigliani, F., & Miller, M. H. (1958). The cost of capital, corporation finance and the theory of investment. The American Economic Review, 48(3), 261-297.
Molina, C. A. (2005). Are firms underleveraged? An examination of the effect of leverage on default probabilities. The Journal of Finance, 60(3), 1427-1459.
Morck, R., & Nakamura, M. (1999). Banks and corporate control in Japan. The Journal of Finance, 54(1), 319-339.
Petersen, M. A., & Rajan, R. G. (1994). The benefits of lending relationships: Evidence from small business data. The Journal of Finance, 49(1), 3-37.
Qian, X., Ding, Z., Cao, X., & Qi, S. (2020). Cross-ownership and collateral in lending. International Review of Financial Analysis, 72, 101572.
Rajan, R. G. (1992). Insiders and outsiders: The choice between informed and arm's‐length debt. The Journal of Finance, 47(4), 1367-1400.
Saragih, J. R. (2021). Related party transactions: Review of the Literature. Sebelas Maret Business Review, 6(2), 68-78.
Setiyono, B., & Munawaroh, U. U. (2024). Related party lending and rural bank risk: Evidence during the COVID-19 period. Research in International Business and Finance67, 102079.
Vyshnevskyi, I., & Sohn, W. (2023). Nonperforming loans and related lending: Evidence from Ukraine. Emerging Markets Review57, 101069.