Factors Affecting Loan Loss Provisions during the Covid-19 Pandemic – The Case of Commercial Banks in Vietnam
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Credit is considered a crucial activity of commercial banks; it accounts for the most significant proportion of the bank's total assets and is also an activity that carries great risks. The study uses OLS, FEM, REM, and FGLS to assess the factors affecting loan loss provisions (LLPs) of 20 Vietnamese commercial banks during the Covid-19 pandemic from Q1/2020 to Q4/2021. The result of the model is based on FGLS to overcome the phenomenon of heteroscedasticity after using estimation by OLS, FEM, REM, showing that the factors affecting LLP of Vietnamese commercial banks during the Covid pandemic include: bank size (SIZE), non-performing loans ratio (NPL), a ratio of pre-tax profit and provision to total assets (CROA), loans to total assets ratio (LOAN), and credit growth (ΔCREDIT). Research results using the FGLS method show that bank size, bad debt ratio, pre-tax profit ratio and provision to total assets and credit growth positively impact the LLP of the Vietnamese commercial banks in the Covid pandemic. However, interestingly, the percentage of loans to total assets can decrease the provision for loan losses. Thereby, the study proposes some policy implications as follows: The SBV needs to have the policy to limit credit growth and bad debt ratio for commercial banks to control the competition for a market share of loans without ensuring the quality of loans, leading to an increase in credit risk and LLP. Furthermore, each Vietnamese commercial bank needs to develop and apply a practical and comprehensive credit process to ensure debt recovery to avoid a lot of bad debts. For new customers, banks need to fully assess all aspects to predict the level of risk before deciding to provide loans. Additionally, the long-term effects of Covid-19 cause difficulties for commercial banks' activities, SBV needs to consider supportive policies through interest rate reduction, grace period, and debt extension to increase financial performance and maintain market share and profits of commercial banks.
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References
-
Akerlof, G. A. (1970). The market for lemons: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84, 488–500. doi:10.2307/1879431.
Google Scholar
1
-
Altig, D., Baker, S., Barrero, J.M., Bloom, N., Bunn, P., Chen, S., Davis, S.J., Leather, J., Meyer, B., Mihaylov, E., Mizen, P., Parker, N., Renault, T., Smietanka, P., Thwaites, G. (2020). Economic uncertainty before and during the COVID-19 pandemic. J. Publ. Econ. 191, 104274.
Google Scholar
2
-
American Banker (2020) Available at: https://www.americanbanker.com/news/will-coronavirus-lead-to-a-wave-of-bank-failures (Accessed: 26 April 2022).
Google Scholar
3
-
Aristei, D., & Gallo, M. (2018). Loan loss provisioning by Italian banks: Managerial discretion, relationship banking, functional distance and bank risk. International Review of Economics & Finance. doi:10.1016/j.iref.2018.10.022.
Google Scholar
4
-
Ashour M.O. (2011). Banks Loan Loss Provision Role in Earnings and Capital Management – Evidence from Palestine, Thesis for the Degree of Master in Accounting Finance, Islamic University Gaza.
Google Scholar
5
-
Augustin, P., Sokolovski, V., Subrahmanyam, M.G., Tomio, D. (2021). In sickness and in debt: the COVID-19 impact on sovereign credit risk. J. Finan. Econ. Forthcoming. https://doi.org/10.1016/j.jfineco.2021.05.009.
Google Scholar
6
-
Baker, S.R., Farrokhnia, R.A., Meyer, S., Pagel, M., Yannelis, C. (2020b). Income, liquidity, and the consumption response to the 2020 economic stimulus payments. Available at: SSRN: https://ssrn.com/abstract¼3592174. https://doi.org/10.2139/ssrn.3587894.
Google Scholar
7
-
BBC News (2020). Available at: https://www.bbc.com/news/business-51748139 (Accessed: 6 April 2022).
Google Scholar
8
-
Beatty, A., & Liao, S. (2011). Do delays in expected loss recognition affect banks' willingness to lend? Journal of accounting and economics, 52(1), 1–20.
Google Scholar
9
-
Beaver W & Engel E. (1996). Discretionary Behavior with Respect to Allowances for Loan Losses and the Behavior of Security Prices. Journal of Accounting and Economic, 22, 177–206.
Google Scholar
10
-
Bhat, V. N. (1996). Banks and income smoothing: an empirical analysis. Applied Financial Economics, 6(6), 505–510.
Google Scholar
11
-
Bhattarai, B.P (2018). Determinants of loan loss provisions of commercial banks in Nepal. European Journal of Accounting, Auditing and Finance Research, 6(9), 23–37.
Google Scholar
12
-
Bouvatier, V & Lepetit, L 2008, Banks’ procyclical behavior: Does provisioning matter? Journal of International Financial Markets, Institutions and Money, 18(5), 513–526.
Google Scholar
13
-
Bouvatier, V, Lepetit, L & Strobel, F. (2014). Bank income smoothing, ownership concentration and the regulatory environment. Journal of Banking & Finance, 41, 253–270.
Google Scholar
14
-
Bushman, R. M., & Williams, C. D. (2015). Delayed expected loss recognition and the risk profile of banks. Journal of Accounting Research, 53(3), 511–553.
Google Scholar
15
-
Cox, N., Ganong, P., Noel, P.J., Vavra, J.S., Wong, A., Farrell, D., Greig, F.E., Deadman, E. (2020). Initial impacts of the pandemic on consumer behavior: evidence from linked income, spending, and savings data. Brookings Pap. Econ. Activ. 35–69.
Google Scholar
16
-
Curcio, D & Hasan, I. (2015). Earnings and capital management and signaling: the use of loanloss provisions by European banks. The European Journal of Finance, 21 (1), 26–50.
Google Scholar
17
-
Danisman, G. O., Demir, E., & Ozili, P. (2020). Loan loss provisioning of US banks: Economic policy uncertainty and discretionary behavior. International Review of Economics & Finance. doi:10.1016/j.iref.2020.10.016.
Google Scholar
18
-
Demir, E., & Ozili, P. (2020). Loan loss provisioning of US banks: Economic policy uncertainty and discretionary behavior. International Review of Economics & Finance. doi:10.1016/j.iref.2020.10.016.
Google Scholar
19
-
Ding, W., Levine, R., Lin, C., Xie, W. (2021). Corporate immunity to the COVID-19 pandemic. J. Financ. Econ. 141, 802–830.
Google Scholar
20
-
Dou, Y., Ryan, S. G., & Zou, Y. (2018). The effect of credit competition on banks’ loan-loss provisions. Journal of Financial and Quantitative Analysis, 53(3), 1195–1226.
Google Scholar
21
-
El Sood, HA. (2012). Loan loss provisioning and income smoothing in US banks pre and post the financial crisis. International Review of Financial Analysis, 25, 64–72.
Google Scholar
22
-
Fonseca, A. R., & Gonzalez, F. (2008). Cross-country determinants of bank income smoothing by managing loan-loss provisions. Journal of Banking & Finance, 32(2), 217–228.
Google Scholar
23
-
Greenawalt, MB & Sinkey, JF. (1988). Bank loan-loss provisions and the income-smoothing hypothesis: an empirical analysis, 1976–1984. Journal of Financial Services Research, 1(4), 301–318.
Google Scholar
24
-
Hasan, I, Wall, L. (2004). Determinants of the loan loss allowance: Some cross-country comparison. The Financial Review, 39, 129–152
Google Scholar
25
-
Hasan, I., & Wall, L. D. (2004). Determinants of the Loan Loss Allowance: Some Cross-Country Comparisons. Financial Review, 39(1), 129–152. DOI: https://doi.org/10.1111/j.0732-8516.2004.00070.x.
Google Scholar
26
-
Jensen M. C & Meckling W. H (1976). Theory of The Firm: Managerial Behavior, Agency Costs and Ownership Structure. Journal of financial economics, 3(4), 305–360.
Google Scholar
27
-
Jin, J., Kanagaretnam, K., & Lobo, G. J. (2018). Discretion in bank loan loss allowance, risk taking and earnings management. Accounting & Finance, 58(1), 171–193.
Google Scholar
28
-
Kim, J., Kim, M., & Lee, J. H. (2019). The effect of TARP on loan loss provisions and bank transparency. Journal of Banking & Finance, 102, 79–99.
Google Scholar
29
-
Mohd Isa, M. Y., & ctg (2018). Determinants of loan loss provisions of commercial banks in Malaysia. Journal of Financial Reporting and Accounting, 16(1), 24– 48. DOI: https://doi.org/10.1108/jfra-03-2015-0044.
Google Scholar
30
-
Ng, J., Saffar, W., & Zhang, J. J. (2020). Policy uncertainty and loan loss provisions in the banking industry. Review of Accounting Studies, 1–52.
Google Scholar
31
-
Olszak, M., Pipień, M., Kowalska, I., & Roszkowska, S. (2017). What drives heterogeneity of cyclicality of loan-loss provisions in the EU? Journal of Financial Services Research, 51(1), 55–96.
Google Scholar
32
-
Oros, O. E., & Salisteanu, S. F. (2015). Loan Loss Provisioning – A Case Study of Romanian System Smoothing Pro-cyclicality. Procedia Economics and Finance, 26, 862–868. doi:10.1016/s2212-5671(15)00895-3.
Google Scholar
33
-
Peterson, O. K., & Arun, T. G. (2018). Income smoothing among European systemic and nonsystemic banks. The British Accounting Review, 50(5), 539–558.
Google Scholar
34
-
Skała, D. (2015). Saving on a rainy day? Income smoothing and procyclicality of loan‐loss provisions in central European banks. International Finance, 18(1), 25–6.
Google Scholar
35
-
Soedarmono, W., Pramono, S. E., & Tarazi, A. (2017). The procyclicality of loan loss provisions in Islamic banks. Research in International Business and Finance, 39, 911–919.
Google Scholar
36
-
Wahlen J. M. (1994). The Nature of Information in Commercial Bank Loan Lossdis Closures. The Accounting Review, 69(3),455–478.
Google Scholar
37
-
Wahlen, JM. (1994). The nature of information in commercial bank loan loss disclosures. Accounting Review, 69(3), 455–478.
Google Scholar
38
-
Xiangchao Hao, Qinru Sun, Fang Xie. (2022). The COVID-19 pandemic, consumption and sovereign credit risk: Cross-country evidence. Economic Modelling, 109, April 2022, 105794.
Google Scholar
39
-
Zoubi, T. A., & Al‐Khazali, O. (2007). Empirical testing of the loss provisions of banks in the GCC region. Managerial Finance.
Google Scholar
40