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.
Digitalization serves as a catalyst for game-changing innovations in European rural business. Thereby, the study of digital innovative hubs is relevant. The current research problem lays upon the understanding of main challenges and opportunities in order to foster digital innovative hubs development in rural areas. The investigation methodology is based on the digital innovation concept explaining their role in achieving rural business benefits. Firstly, the paper aims to provide scientific review of digitalization impact on rural business development. Secondly, the aim is to examine the challenges for rural business digitization. The findings of this study have a number of practical implications, concerning opportunities for providing support of digital innovative hubs in Europe, increasing the potential of competitive business development in rural area.
The permanent state of the financial crisis has predictably brought to the forefront such traditional problem of banking as problem loans. This research aims to work out an econometric approach to the solution of the problem of loans terms’ rescheduling. For this purpose, we, firstly, treated credit as a bank’s investment project with cashflows’ chart including initial outflow (principal) and following inflows represented by loan payments. Secondly, we combined the schematic representation of loan’s cashflows with NPV formula accustomed to loan’s cashflows and it allowed to create the econometric models for three types of loan: classic, annuity, serial. Thirdly, for the case when borrower breaks a loan’s payment schedule and it leads to the reduction of loan’s NPV and loss of the wealth of bank’s shareholders, respectively, we outlined special compensative models of cashflows where default in payment is interpreted by the lender as an additional forced loan. We suggested modifying the loan terms (interest rate or effective period of the loan agreement) for the rest of payment periods. Fourthly, we laid the special compensative models of forced loans’ cashflows a top corresponded initial cashflows of loans and this has made it possible to get formulas calculating the modified interest rate and the additional number of loans’ payment periods with the aid of backward calculation. As a result, we developed the econometric models of the loan terms’ modifications based on the prolongation of the initial credit period and the increasing of the initial interest rate.
he main aim of the given research is to analyse Government policy early response due to the Covid-19 crisis in Central and Eastern Europe regarding SME support. The research methodology is based on an analysis of the pandemic impact on key indicators of countries development as well as an analysis of SME support policies responses by selected countries (Bulgaria, Czech Republic, Hungary, Poland, Romania, Slovenia and Ukraine). The dynamic trends of Covid-19 spread and its impact on macroeconomic indicators were analysed. The negative growth of GDP, as well as current account balance and increasing gross debt burden, were explored in all analysed countries and the policy responses were the required measures to avoid possible economic collapse. Implemented measures were mainly directed to achieve economic recovery and capturing stability, but the main focus of the research is to analyse the support policies according to the criterion of enterprise size, SME in particular. The study is based on country-level data as well as on individual State Aid cases of each analysed CEE country. It allowed to evaluate policy response mechanisms in terms of measures regarding enterprise size. Although SMEs suffered the most during the crisis, CEE countries spent most of their resources on supporting companies, regardless of their size.
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