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Development of a credit policy for markets subject to credit rationing

Abstract

Effective credit policy is an essential condition for bank’s successful operation. In this article methods of developing a credit policy that accounts for information asymmetry and “reverse selection” effect in the credit market are considered. In the course of research, relationships between interest rates, “pass” credit score, total bank’s income, average profitability of a credit product and the amount of capital required to be allocated to a new product, were revealed. Noting these relationships, bank’s credit department is able to set optimal interest rates, credit score and capital, as well as to apply credit rationing, if necessary.

About the Author

A. A. Lobov
Novosibirsk State University, Novosibirsk
Russian Federation


References

1. Lobov A. A. Vyiyavlenie sfer kreditovaniya, podlezhaschih kreditnomu ratsionirovaniyu [Identification of lending areas subject to credit rationing]. Vestnik of Novosibirsk State University, 2013, vol. 13, iss. 1, p. 5–18. (In Russ.)

2. Hogman D. Credit Risk and Credit Rationing. Quart. J. Econ, 1960. vol. 74, № 2.

3. Stiglitz J. E., Weiss A. Credit Rationing in Market with Imperfect Information. Amer. Econ. Rev, 1981, vol. 71, № 2.

4. Andreeva G. V. Skoring kak metod otsenki kreditnogo riska [Scoring as a method of credit risk assessment]. URL: http://www.cfin.ru/finanalysis/banks/scoring.shtml (In Russ.)

5. Davis R. Teaching project simulation in Excel using PERT-beta distribution. By Dr. Ron Davis, San Jose State University College of Business, One Washington Square, San Jose, California 95192


Review

For citations:


Lobov A.A. Development of a credit policy for markets subject to credit rationing. World of Economics and Management. 2015;15(3):21–31. (In Russ.)

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ISSN 2542-0429 (Print)
ISSN 2658-5375 (Online)