تحلیل ناهمگونی و سازوکار انتقال اثر نوآوری فین‌تک بر رفتار ریسک‌پذیری بانک‌ها (مدل‌های : DID, 2SLS-IV, GMM)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مهندسی مالی، گروه مدیریت مالی، واحد دهاقان، دانشگاه آزاد اسلامی، اصفهان، ایران.

2 گروه اقتصاد ، واحد نراق، دانشگاه آزاد اسلامی، نراق، ایران.

چکیده
هدف: شکل‌گیری بانکداری سنتی برای بهبود فرآیندها و خدمات خود به نوآوری‌های و فناوری‌های جدید فین‌تک‌ها نیاز دارد. نوآوری‌های فین‌تک منجر به تحولات گسترده در نظام بانکی از جمله مدیریت ریسک شده است؛ لذا مطالعه حاضر با هدف بررسی و تحلیل ناهمگونی و سازوکار انتقال اثر نوآوری فین‌تک بر رفتار ریسک‌پذیری بانک‌ها با استفاده از داده‌های پنل متوازن 20 بانک در دوره زمانی 1401-1392 در نظر گرفته شد.
روش‌شناسی پژوهش: بر اساس فناوری وب شاخصی در سطح بانک، ایجاد و تعداد و فراوانی سالانه اخبار مربوط به نوآوری فین‌تک از هر بانک به‌صورت نسبت ارزش مبادلات از طریق اینترنت و موبایل به‌منظور خرید آنلاین و پرداخت قبوض به GDP در نظر گرفته شده است. برای رفع مشکلات احتمالی درون‌زا، از جمله خطاهای اندازه‌گیری و متغیرهای حذف‌شده، از روش‌های متغیرهای ابزاری و تفاوت در تفاو‌ت‌ها جهت آزمون فرضیه و استخراج نتایج برآورد شده سازگار استفاده گردید.
یافته‌ها: نشان داد که بهبود در نوآوری فین‌تک بانک به‌طور معنی‌داری ریسک‌پذیری را کاهش می‌دهد. نتایج تحلیل مکانیسم نشان می‌دهد که نوآوری فین‌تک بانک، ریسک‌پذیری آن را از طریق دو کانال، افزایش درآمد عملیاتی و نسبت کفایت سرمایه کاهش می‌دهد. تحلیل ناهمگونی اندازه بانک، نوع بانک و رقابت‌پذیری نشان می‌دهد که بانک‌های تجاری بزرگ‌تر (دولتی، خصوصی) و بسیار رقابتی، تاثیر بارزتری بر کاهش ریسک‌پذیری در توسعه نوآوری فن‌آوری دارند. همچنین آزمون‌های استحکام و پایداری، از جمله تغییر روش‌های ساخت شاخص نوآوری فین‌تک، جایگزینی شاخص‌های ریسک‌پذیری، روش کاهش تغییر نمونه‌ مطالعه، نشان داد که یافته‌ها تغییری نداشته است.
اصالت/ارزش‌افزوده علمی: نظام بانکی باید از الگوی توسعه عصر پیروی و راه‌حل‌های فین‌تک را برای تسریع تحول دیجیتال خود بپذیرند. نهایتا از آنجایی که استفاده بانک‌های تجاری از فین‌تک، خطرات بالقوه خاصی را به دنبال دارد، بانک‌ها باید مدیریت ریسک خود را افزایش دهند. اقدامات نظارتی قابل اجرا، مانند استانداردهای افشای اطلاعات و شاخص‌های مدیریت ریسک را اعمال کند.

کلیدواژه‌ها


عنوان مقاله English

Analysis of heterogeneity and transmission mechanism of the effect of FinTech innovation on banks' risk-taking behavior (Models: DID, 2SLS-IV, GMM)

نویسندگان English

Alireza Shirali 1
Mostafa Heidari Haratemeh 2
1 PhD student in Engineering, Department of Financial Management, Dehaqan Branch, Islamic Azad University, Isfahan, Iran.
2 Department of Economics, Naragh Branch, Islamic Azad University, Naragh, Iran.
چکیده English

Purpose: Traditional banking needs new FinTech innovations and technologies to improve its processes and services. FinTech innovations have led to significant changes in the banking system, including advancements in risk management. Therefore, the present study aimed to investigate and analyze the heterogeneity and the mechanism underlying the effect of FinTech innovation on the risk-taking of commercial banks using balanced panel data from 20 banks for the period 2013-2022.
Methodology: Based on web technology, an indicator at the bank level is considered, including the creation, annual number, and frequency of news related to fintech innovation from each bank. This indicator is calculated as the ratio of the value of online shopping and bill payments made through the Internet and mobile devices to GDP. To address potential endogeneity issues, including measurement errors and omitted variables, the methods of Instrumental Variables (IV) and Difference-in-Differences (DID) were employed to test the hypothesis and obtain consistent estimates.
Findings: Showed that improvement in FinTech bank innovation significantly reduces risk-taking. The results of the mechanism analysis indicate that a bank's FinTech innovation reduces its risk-taking through two channels: increasing operating income and enhancing the capital adequacy ratio. The analysis of the heterogeneity of bank size, bank type, and competitiveness shows that larger, public, private, and highly competitive commercial banks have a more pronounced effect on reducing risk-taking in the development of technological innovation. Also, robustness and stability tests, including changing the methods used to construct the FinTech innovation index, replacing risk-taking indicators, and reducing the change in the study sample, showed that the findings remained unchanged.
Originality/Value: The banking system should adopt a development model aligned with the era and utilize FinTech solutions to accelerate its digital transformation. Finally, since the use of FinTech by commercial banks presents certain potential risks, banks should enhance their risk management. Implement applicable supervisory measures, such as information disclosure standards and risk management indicators.

کلیدواژه‌ها English

Digital banking
Financial Technology
FinTech innovation
Heterogeneity analysis
Mechanism analysis
Risk-taking
[1]     Khan, M. S., Scheule, H., & Wu, E. (2017). Funding liquidity and bank risk taking. Journal of banking & finance, 82, 203–216. https://doi.org/10.1016/j.jbankfin.2016.09.005
[2]     Berger, A. N., & Bouwman, C. H. S. (2013). How does capital affect bank performance during financial crises? Journal of financial economics, 109(1), 146–176. https://doi.org/10.1016/j.jfineco.2013.02.008
[3]     Efthyvoulou, G., & Yildirim, C. (2014). Market power in CEE banking sectors and the impact of the global financial crisis. Journal of banking & finance, 40, 11–27. https://doi.org/10.1016/j.jbankfin.2013.11.010
[4]     Lozano-Vivas, A., Pastor, J. T., & Hasan, I. (2001). European bank performance beyond country borders: what really matters? Review of finance, 5(1–2), 141–165. https://doi.org/10.1023/A:1012742232030
[5]     Lozano-Vivas, A., Pastor, J. T., & Pastor, J. M. (2002). An efficiency comparison of european banking systems operating under different environmental conditions. Journal of productivity analysis, 18(1), 59–77. https://doi.org/10.1023/A:1015704510270
[6]     Pasiouras, F. (2008). Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, off-balance sheet activities, and international operations. Research in international business and finance, 22(3), 301–318. https://doi.org/10.1016/j.ribaf.2007.09.002
[7]     Gomber, P., Koch, J.-A., & Siering, M. (2017). Digital finance and FinTech: Current research and future research directions. Journal of business economics, 87(5), 537–580. https://doi.org/10.1007/s11573-017-0852-x
[8]     Fuster, A., Plosser, M., Schnabl, P., & Vickery, J. (2019). The role of technology in mortgage lending. The review of financial studies, 32(5), 1854–1899. https://doi.org/10.1093/rfs/hhz018
[9]     Guo, F., Wang, J., Wang, F., Kong, T., Zhang, X., & Cheng, Z. (2020). Measuring China’s digital financial inclusion: Index compilation and spatial characteristics. China economic quarterly, 19(4), 1401–1418.
[10]   Lee, C. C., Li, X., Yu, C. H., & Zhao, J. (2021). Does fintech innovation improve bank efficiency? Evidence from China’s banking industry. International review of economics & finance, 74, 468–483. https://doi.org/10.1016/j.iref.2021.03.009
[11]   Zhao, Jinsong & Li, Xinghao & Yu, Chin-Hsien & Chen, Shi & Lee, C. C. (2022). Riding the FinTech innovation wave: FinTech, patents and bank performance. Journal of international money and finance, 122(C). https://dor.isc.ac/dor/10.1016/j.jimonfin.2021.102552
[12]   Cheng, M., & Qu, Y. (2020). Does bank FinTech reduce credit risk? Evidence from China. Pacific-basin finance journal, 63. https://dor.isc.ac/dor/10.1016/j.pacfin.2020.101398
[13]   Wagner, W. (2010). Loan market competition and bank risk-taking. Journal of financial services research, 37(1), 71–81. https://doi.org/10.1007/s10693-009-0073-8
[14]   Chen, S., Ma, H., & Wu, Q. (2019). Bank credit and trade credit: Evidence from natural experiments. Journal of banking & finance, 108, 105616. http://dx.doi.org/10.1016/j.jbankfin.2019.105616
[15]   Filip, D., Jackowicz, K., & Kozłowski, Ł. (2017). Influence of internet and social media presence on small, local banks’ market power. Baltic journal of economics, 17, 190–214. http://dx.doi.org/10.1080/1406099X.2017.1376856
[16]   Liberti, J. M. (2017). Initiative, incentives, and soft information. Management science, 64(8), 3714–3734. https://doi.org/10.1287/mnsc.2016.2690
[17]   Banna, H., Kabir Hassan, M., & Rashid, M. (2021). Fintech-based financial inclusion and bank risk-taking: Evidence from OIC countries. Journal of international financial markets, institutions and money, 75, 101447. https://doi.org/10.1016/j.intfin.2021.101447
[18]   Sheng, T. (2021). The effect of fintech on banks’ credit provision to SMEs: Evidence from China. Finance research letters, 39, 101558. https://doi.org/10.1016/j.frl.2020.101558
[19]   Chen, N., Sun, D., & Chen, J. (2022). Digital transformation, labour share, and industrial heterogeneity. Journal of innovation & knowledge, 7(2), 100173. https://doi.org/10.1016/j.jik.2022.100173
[20]   Newman, C., Rand, J., Talbot, T., & Tarp, F. (2015). Technology transfers, foreign investment and productivity spillovers. European economic review, 76, 168–187. https://doi.org/10.1016/j.euroecorev.2015.02.005
[21]   Deng, X., Gao, L., & Kim, J. B. (2020). Short-sale constraints and stock price crash risk: Causal evidence from a natural experiment. Journal of corporate finance, 60, 101498. https://doi.org/10.1016/j.jcorpfin.2019.101498
[22]   Pérez-Martín, A., Pérez-Torregrosa, A., & Vaca, M. (2018). Big Data techniques to measure credit banking risk in home equity loans. Journal of business research, 89, 448–454. https://doi.org/10.1016/j.jbusres.2018.02.008
[23]   Sánchez, J. M. (2018). The information technology revolution and the unsecured credit market. Economic inquiry, 56(2), 914–930. https://doi.org/10.1111/ecin.12519
[24]   Stulz, R. M. (2019). FinTech, BigTech, and the Future of Banks. Journal of applied corporate finance, 31(4), 86–97. https://doi.org/10.1111/jacf.12378
[25]   Livshits, I., Mac Gee, J. C., & Tertilt, M. (2016). The democratization of credit and the rise in consumer bankruptcies. The review of economic studies, 83(4), 1673–1710. https://doi.org/10.1093/restud/rdw011
[26]   Sutherland, A. (2018). Does credit reporting lead to a decline in relationship lending? Evidence from information sharing technology. Journal of accounting and economics, 66(1), 123–141. https://doi.org/10.1016/j.jacceco.2018.03.002
[27]   Feyz Arefi, M., & Hafezian, M. (2025). Risk management assessment in Iranian banking based on IFSB guidelines. Innovation management and operational strategies, 4(2), 117–136. https://doi.org/10.22105/imos.2021.293417.1134
[28]   Grennan, J., & Michaely, R. (2021). FinTechs and the market for financial analysis. Journal of financial and quantitative analysis, 56(6), 1877–1907. https://doi.org/10.1017/S0022109020000721
[29]   Law, S. H., Lee, W. C., & Singh, N. (2018). Revisiting the finance-innovation nexus: Evidence from a non-linear approach. Journal of innovation & knowledge, 3(3), 143–153. https://doi.org/10.1016/j.jik.2017.02.001
[30]   Chiu, J., & Koeppl, T. V. (2019). Blockchain-based settlement for asset trading. The review of financial studies, 32(5), 1716–1753. https://doi.org/10.1093/rfs/hhy122
[31]   Campanella, F., Della Peruta, M. R., & Del Giudice, M. (2017). The effects of technological innovation on the banking sector. Journal of the knowledge economy, 8(1), 356–368. https://doi.org/10.1007/s13132-015-0326-8
[32]   Heredia, J., Castillo-Vergara, M., Geldes, C., Carbajal Gamarra, F. M., Flores, A., & Heredia, W. (2022). How do digital capabilities affect firm performance? The mediating role of technological capabilities in the “new normal.” Journal of innovation & knowledge, 7(2), 100171. https://doi.org/10.1016/j.jik.2022.100171
[33]   Danisman, G. O., & and Tarazi, A. (2020). Financial inclusion and bank stability: Evidence from Europe. The european journal of finance, 26(18), 1842–1855. https://doi.org/10.1080/1351847X.2020.1782958
[34]   He, D., Leckow, R., Haksar, V., Mancini-Griffoli, T., Jenkinson, N., Kashima, M., Khiaonarong, T., Rochon, C., & Tourpe, H. (2017). Fintech and financial services: Initial considerations. International monetary fund, 5. https://b2n.ir/pq5603
[35]   Begenau, J., Farboodi, M., & Veldkamp, L. (2018). Big data in finance and the growth of large firms. Journal of monetary economics, 97, 71–87. https://doi.org/10.1016/j.jmoneco.2018.05.013
[36]   Lee, C. C., & Huang, T. H. (2019). What causes the efficiency and the technology gap under different ownership structures in the chinese banking industry? Contemporary economic policy, 37(2), 332–348. https://doi.org/10.1111/coep.12409
[37]   Anagnostopoulos, I. (2018). Fintech and regtech: Impact on regulators and banks. Journal of economics and business, 100, 7–25. https://doi.org/10.1016/j.jeconbus.2018.07.003
[38]   Chen, T., Goh, J. R., Kamiya, S., & Lou, P. (2019). Marginal cost of risk-based capital and risk-taking. Journal of banking & finance, 103, 130–145. https://doi.org/10.1016/j.jbankfin.2019.03.011
[39]   Papadopoulos, G. (2019). Income inequality, consumption, credit and credit risk in a data-driven agent-based model. Journal of economic dynamics and control, 104, 39–73. https://doi.org/10.1016/j.jedc.2019.05.002
[40]   QIU, H., Huang, Y., J. Y. (2018). How does FinTech development affect traditional banking in China? The perspective of online wealth management products. Journal of financial research, 461(11), 17–30. http://www.jryj.org.cn/EN/
[41]   KPMG. (2016). The pulse of fintech. https://B2n.ir/dp6981
[42]   Alqahtani, F., Mayes, D. G., & Brown, K. (2017). Reprint of economic turmoil and Islamic banking: Evidence from the Gulf Cooperation Council. Pacific-basin finance journal, 42, 113–125. https://doi.org/10.1016/j.pacfin.2016.06.013
[43]   Lee, C. C., & Lee, C. C. (2019). Oil price shocks and Chinese banking performance: Do country risks matter? Energy economics, 77, 46–53. https://doi.org/10.1016/j.eneco.2018.01.010
[44]   Kim, H., Batten, J. A., & Ryu, D. (2020). Financial crisis, bank diversification, and financial stability: OECD countries. International review of economics & finance, 65, 94–104. https://doi.org/10.1016/j.iref.2019.08.009
[45]   Ahamed, M. M., & Mallick, S. K. (2019). Is financial inclusion good for bank stability? International evidence. Journal of economic behavior & organization, 157, 403–427. https://doi.org/10.1016/j.jebo.2017.07.027
[46]   Chen, M. A., Wu, Q., & Yang, B. (2019). How valuable is FinTech innovation? The review of financial studies, 32(5), 2062–2106. https://doi.org/10.1093/rfs/hhy130
[47]   Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
[48]   Giaretta, E., & Chesini, G. (2021). The determinants of debt financing: The case of fintech start-ups. Journal of innovation & knowledge, 6(4), 268–279. https://doi.org/10.1016/j.jik.2021.10.001
[49]   Boot, A., Hoffmann, P., Laeven, L., & Ratnovski, L. (2021). Fintech: What’s old, what’s new? Journal of financial stability, 53, 100836. https://doi.org/10.1016/j.jfs.2020.100836