The impact of transforming bank advisory services to borrowers on non-interest revenue generation
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DOIhttp://dx.doi.org/10.21511/bbs.12(4-1).2017.08
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Article InfoVolume 12 2017, Issue #4, pp. 203-210
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The challenges of revenue generation by banks are evident if one considers the accusations labelled against the banks of aggressive lending (Archaya & Naqvi, 2012), which basically centers on the pursuit of profits with minimum regard to risk management. If not read or if read in passing, loan terms can be used to destroy the reputation of banks when accusations of predatory loans surface. It is argued here that even if understood at the time of signing the acceptance of the loan, there is no guarantee that the terms are still top of mind of borrowers, especially those who borrow for a long term. Banks can use their advisory skills to periodically take borrowers through loan terms, confirm understanding, detect any wanton behaviors (WB) from borrowers’ financial activities that go against financial astuteness and may jeopardize repayment capabilities and offer advice on practices that are not counter to repayment capabilities. Banks can mitigate the challenges in interest income generation, particularly from a default point of view by periodically engaging borrowers to specifically advice on behavioral issues that manifest themselves in financial levers. Since borrowers stand to gain immeasurable value out of these engagements, banks can justifiably levy borrower advisory service fees (BASF) and wanton hazard fee (WHF). The authors show, through the application of the BASF and WHF, the potential income banks can generate. Using the BASF and WHF as sources of non-interest income, the potential benefit taking into account the credit loss as a function of BASF accruing to the bank is established.
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JEL Classification (Paper profile tab)G21
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References17
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Tables3
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Figures0
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- Table 1. Bank A potential BASF income as a function of mortgage loans and credit losses
- Table 2. Bank B potential BASF income as a function of mortgage loans and credit losses
- Table 3. Bank C potential BASF income as a function of mortgage loans and credit losses
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- Acharya, V., & Naqvi, H. (2007). The seeds of a crisis: A theory of bank liquidity and risk-taking over the business cycle (No. 8851). CEPR Discussion papers.
- Agarwal, S., & Evanoff, D. (2014). Predatory lending and the subprime crisis. Journal of financial economics, 113(1), 39-52.
- Anagnostopoulou, S. C., & Drakos, K. (2016). Bank loan terms and conditions: Is there a macro- effect? Journal of research in international business and finance, 37, 269-282.
- Behr, P., Entzian, A., & Guttler, A. (2011). How do lending relationships affect access to credit and loan conditions in micro-lending? Journal of banking and finance, 35(8), 2169-2178.
- Bravo, C., Thomas, L. C., & Weber, R. (2015). Improving credit scoring by differentiating defaulter behavior. Journal of the operational research society, 66(5), 774-781.
- Bucks, B., & Pence, K. (2008). Do borrowers know their mortgage terms? Journal of urban economics, 64(2), 218-233.
- Cohen, B., & Remolona, E. (2008). The unfolding turmoil of 2007–2008: Lessons and responses.
- Collins, J. M. (2007). Exploring the design of financial counseling for mortgage borrowers in default. Journal of family and economic issues, 28(2), 207-226.
- Delpachitra, S., & Lester, L. (2013). Non-interest income: Are Austrian banks moving away from their traditional businesses? Journal of applied economics and policy, 32(2), 190-199.
- Graafland, J. J., & Vande Ven, B. W. (2011). The credit crisis and the moral responsibility of professionals in finance. Journal of business ethics, 103(4), 605-619.
- Grosse, R. (2012). Bank regulation, governance and the crisis: A behavioral finance view. Journal of financial regulation and compliance, 20(1), 4-25.
- Khieu, H. D., & Yi, H. C. (2012). The determinants of bank loan recovery rates. Journal of banking and finance, 36(4), 923-933.
- Kohler, M. (2014). Does non-interest income make banks more risky? Retail versus investment oriented banks. Review of financial economics, 23(4), 182-193.
- Lepetti, L., Nys, E., Rous, P., & Tarazi, A. (2008). Bank income structure and risk: An empirical analysis of European banks. Journal of banking finance, 32(8), 1452-1467.
- Louis, D. P., & Metaxas, V. L. (2012). Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of banking and finance, 36(4), 1012-1027.
- Quercia, R. G., Stegman, M. A., & Davis, W. R. (2007). The impact of predatory loan terms on subprime foreclosures: The special case of prepayment penalties and balloon payments. Journal of housing policy debate, 18(2), 311-346.
- Trautman, S. T., & Vlazu, R. (2013). Strategic loan defaulters and coordination: An experimental analysis. Journal of banking and finance, 37(3), 747-760.