Some Aspects of Methodological Support of Bank Value Management in the Russian Market of Financial Services

K. Polyakov, M. Polyakova, E. A. Zagonova
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Abstract

In the introduction, the authors argue the relevance of the researched problem of improving the algorithm for estimating transaction cost of bank’s purchase and sale in the Russian financial services market. It is emphasized that the need to manage the value of a commercial enterprise arises not only when planning the purchase and sale transaction of the entire business or part of it. The valuation is taken into account, first of all, when corporatizing an organization, attracting new shareholders, insuring its property, obtaining a loan secured by property, calculating the fair value of taxes.The first part of the paper substantiates the business valuation algorithm intended for a potential investor and adapted to the conditions of the Russian financial market. This takes into account the specific features of each bank in question. Based on the data from open financial statements (for 2017–2022), the parameters required in the procedure for obtaining estimates are calculated.The second part of the paper presents the result of selecting indicators of the external and internal economic environment of banks that have a significant statistical relationship with the resulting valuation. The selected factors are under the control of managers and can be used to guide the proposed cost estimate. Data were obtained on the direction and strength of influence of selected factors on the value of business. The selection algorithm is based on mathematical modeling using bank data for the period under consideration.The valuation is based on a comparative approach, where the values of the multiples are calculated using a linear regression model. To organize cost management, a panel regression model is built, which allows to select significant financial indicators and determine the nature of their impact on the bank's value.
银行价值管理在俄罗斯金融服务市场的方法论支持
在引言部分,作者论述了改进俄罗斯金融服务市场中银行买卖交易成本估算算法的研究问题的相关性。有人强调,管理商业企业价值的需要不仅出现在规划整个企业或部分企业的购销交易时。首先,在将一个组织公司化、吸引新股东、为其财产提供保险、获得财产担保贷款、计算税收的公允价值时,会考虑到估值。本文的第一部分证明了针对潜在投资者的企业估值算法,并适应了俄罗斯金融市场的条件。这考虑到了每家银行的具体特点。根据公开财务报表(2017-2022年)的数据,计算获得估算过程中所需的参数。论文的第二部分给出了选择银行外部和内部经济环境指标的结果,这些指标与所得估值有显著的统计关系。所选择的因素在管理人员的控制之下,可以用来指导拟议的成本估算。获得了所选因素对企业价值影响的方向和强度的数据。选择算法基于使用所考虑的时期的银行数据的数学建模。估值基于比较方法,其中倍数的值是使用线性回归模型计算的。为了组织成本管理,建立了一个面板回归模型,可以选择重要的财务指标,并确定它们对银行价值的影响性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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