Prior credit assessment of long-term SME projects with non-standard cash flows

  • Received March 9, 2021;
    Accepted April 14, 2021;
    Published June 17, 2021
  • Author(s)
  • DOI
  • Article Info
    Volume 16 2021 , Issue #2, pp. 148-158
  • Cited by
    7 articles

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This work is licensed under a Creative Commons Attribution 4.0 International License

Over the past three decades, the relative bank loan demand has changed due to the arising small and medium-sized enterprises (SMEs). Therefore, banks in their operations face the problem of processing an ever-increasing number of loan applications.
The aim of this paper is to develop an auxiliary approach to assessing the prior creditworthiness of long-term SME projects with nonstandard cash flows.
This study reveals how the principles of value-based management can be incorporated into the process of borrower’s creditworthiness assessment to improve the process of screening loan applications. For this, the internal rate of return was used as a criterion for loan granting decision at the initial stage of loan underwriting.
An algorithm for the preliminary evaluation of loan applications is proposed and is based on the principle of maximizing the shareholder value of banks. This algorithm helps to define the credit terms taking into consideration the distribution of positive cash flows throughout the project’s expected economic life, calculate the possible real effective interest rate concerning the borrower’s nonstandard cash flow schedule, make a rough analysis on the economic efficiency of lending and state the necessary criterion to initiate the procedure of loan underwriting for the projects with nonstandard cash flow schedules.
The proposed estimation algorithm stemming from the IRR-approach for the cash flow analysis can also be initially used by a borrower as a tool for credit solvency self-testing via screening of periods with corresponding cash flows that can be used for loan servicing.

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    • Figure 1. CF schedules
    • Figure 2. Preliminary evaluation of the loan application
    • Table 1. Comparison of loan and project terms
    • Table 2. Selected scenarios for the realization of the algorithm
    • Table 3. Cash flows planed by a potential borrower for loan servicing
    • Table 4. Numerical illustration: Lending capacity assessment and loan terms calculation for the case when the potential borrower’s cash flows intended for loan servicing are not regular
    • Table 5. Numerical illustration: Lending capacity assessment and loan terms calculation for rearranged cash flows
    • Conceptualization
      Serhii Onikiienko, Alla Ivashchenko
    • Formal Analysis
      Serhii Onikiienko, Alla Ivashchenko
    • Investigation
      Serhii Onikiienko, Alla Ivashchenko, Anna Kornyliuk
    • Methodology
      Serhii Onikiienko, Alla Ivashchenko, Anna Kornyliuk
    • Project administration
      Serhii Onikiienko, Yevheniia Polishchuk
    • Supervision
      Serhii Onikiienko, Yevheniia Polishchuk
    • Visualization
      Serhii Onikiienko, Alla Ivashchenko, Nazar Demchyshak
    • Writing – review & editing
      Serhii Onikiienko
    • Funding acquisition
      Yevheniia Polishchuk
    • Writing – original draft
      Yevheniia Polishchuk, Anna Kornyliuk
    • Software
      Alla Ivashchenko, Nazar Demchyshak
    • Validation
      Anna Kornyliuk
    • Data curation
      Nazar Demchyshak
    • Resources
      Nazar Demchyshak