
Mathematical Modeling As a Tool for Improving the Financial and Economic Activities of the Bank
Author(s) -
Elena Potekhina,
AUTHOR_ID,
Leysan R. Isupova,
Irina F. Veshkina,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
socialʹnaâ politika i sociologiâ
Language(s) - English
Resource type - Journals
ISSN - 2071-3665
DOI - 10.17922/2071-3665-2021-20-2-50-59
Subject(s) - loan , profit (economics) , fuzzy logic , artificial neural network , constant (computer programming) , computer science , adaptation (eye) , business , actuarial science , economics , financial system , finance , artificial intelligence , microeconomics , physics , optics , programming language
This article discusses some methods and practical examples of mathematical modeling that are used in banking. The calculation of the profit received by two different Russian banks when selling the same additional product in excess of the issued loan is given. Attention is paid to one of the main tasks of any banking structure, namely, constant adaptation to changes in the external environment, which are manifested during the management of credit and deposit policy. Using the correlation analysis, the dependence between the two values of the bank’s credit activity is demonstrated. Two of the most interesting topics of metamathematic modeling – fuzzy logic and neural network modeling-are also considered.