21,091 research outputs found

    Grammar-Guided Genetic Programming For Fuzzy Rule-Based Classification in Credit Management

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    EIB Group financial report 2002

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    Optimization of factorial portfolio of trade enterprises in the conditions of the non-payment crisis

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    The economic mechanism for factoring management of trade enterprises was improved by applying a tool for refinancing receivables involving third parties, which will contribute to the effective management of fundraising processes from the standpoint of the income approach. The instruments for the implementation of the economic mechanism of factoring management of commercial enterprises, consisting of five blocks were improved (analysis of commercial enterprise debtors’ solvency in order to transfer them to factoring services; analysis of accounts receivable and assessment of its real value; planning of cash flows from factoring operations; factoring implementation assessment; monitoring and control of the repayment of receivables in the process of factoring services), that allows substantiating practical recommendations for improving the level of factoring management. Based on the concept of a portfolio of investments, a factoring model was built to optimize the debtors of the enterprise

    The Dilemmas over Credit Policy Management in a Company

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    Purpose of the article The paper identifies the core dilemmas over the establishment of the credit policy in a company. It considers the general scope and basic stages of credit policy management and analyses each stage of credit policy in terms of decisive aspects. The main areas of concerns are discussed within the settlement of credit policy and its implementation with regard to the model of optimal credit policy. Scientific aim The paper aims at constructing a unified model of issues rising dilemmas while setting and implementing the credit policy management. It also aims at identifying core decisive problems in each of these fields and at providing a structured questions framework. Methodology/methods The paper is based on conceptual analysis and deduction of the literature and general review of issues related to credit policy management. It containts autors’ own view on the problems included in each stage of credit policy management. Findings Credit policy management is a subject for numerous dilemmas. The main areas of concerns are related to: the decision about the goal of credit policy managemet with regard to its restrictiveness, the settlement of credit policy with regard to elements of credit policy, and finally the implementation with regard to the risk of bad debts occurrence. Conclusions (limits, implications etc) The establishment of credit policy in a company requires to balance contrary interests and thus involves wide variety of issues to be considered. The presented model of decisive problems might be applied in each company regardless to their size

    Towards a Comprehensible and Accurate Credit Management Model: Application of four Computational Intelligence Methodologies

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    The paper presents methods for classification of applicants into different categories of credit risk using four different computational intelligence techniques. The selected methodologies involved in the rule-based categorization task are (1) feedforward neural networks trained with second order methods (2) inductive machine learning, (3) hierarchical decision trees produced by grammar-guided genetic programming and (4) fuzzy rule based systems produced by grammar-guided genetic programming. The data used are both numerical and linguistic in nature and they represent a real-world problem, that of deciding whether a loan should be granted or not, in respect to financial details of customers applying for that loan, to a specific private EU bank. We examine the proposed classification models with a sample of enterprises that applied for a loan, each of which is described by financial decision variables (ratios), and classified to one of the four predetermined classes. Attention is given to the comprehensibility and the ease of use for the acquired decision models. Results show that the application of the proposed methods can make the classification task easier and - in some cases - may minimize significantly the amount of required credit data. We consider that these methodologies may also give the chance for the extraction of a comprehensible credit management model or even the incorporation of a related decision support system in bankin

    EIB annual report 2000. [Financial report]

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    The Inventory Channel of Trade Credit: Theory and Evidence

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    We develop a simple theoretical model with a stochastic demand framework that captures the trade-off between inventories and trade credit. The essence is that the firm is in the middle of a credit chain, and produces goods for sale, holding inventories of goods that were produced but unsold at a cost. In the face of uncertain demand for its products the firm extends trade credit to its financially constrained customers to obtain additional sales. Our model provides directly testable predictions to identify the response of accounts payable and accounts receivable to changes in the cost of inventories, profitability, risk and liquidity, and importantly, this influence operates through a production channel. Our results support the model and complement many existing studies focused on explaining the financial terms of trade credit
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