What Drives Profit Income in Mexico’s Main Banks? Evidence Using Machine Learning

Author:

González-Rossano Carlos1ORCID,Terán-Bustamante Antonia1ORCID,Velázquez-Salazar Marisol1ORCID,Martínez-Velasco Antonieta2ORCID

Affiliation:

1. Facultad de Ciencias Económicas y Empresariales, Universidad Panamericana, Ciudad de México 03920, Mexico

2. Facultad de Ingeniería, Universidad Panamericana, Ciudad de México 03920, Mexico

Abstract

Historically, the banking system has been critical to the development of economies by addressing funds efficiently—from customer savings and investors to the productive activities of people and companies, financing consumer goods and current expenses, housing, infrastructure projects and providing liquidity to the market. However, it must be transformed to respond to emerging demands in society for better financial products and services with a positive impact on living conditions and well-being. To achieve this, banks must create economic value—that is to say, banks should create profits in a sustained manner—in order to also create social value and thus generate shared value. The purpose of this study was twofold. The first aim was to identify the main factors that contributed to the majority of Mexican banking profits in the period from 2003 to 2021; the second aim of the study was to provide an innovative metric of banking performance. Using supervised machine learning algorithms and Principal Component Analysis, two prediction models were tested, and two banking performance indices were defined. The findings show that Random Forest is a reliable profit prediction model with a lower mean absolute error between the predicted yearly profit and losses and the actual data. There are no significant ranking position differences between the two performance indices. The first performance index obtained is novel due to its simplicity, since it is built on the basis of five values associated with commercial banking activity. In Mexico, no similar studies have been published. The indicator most widely used by regulators worldwide is the CAMELS index, which is a weighted average of the capital adequacy level, asset quality, management capacity, profitability, liquidity, and sensitivity to market risk. Its scale of 1 to 5 is useful for identifying the robustness and solvency of a bank, but not necessarily its capacity to generate profits. This approach might encourage banks to remain aware of their potential to create shared value and to develop competitive strategies to increase benefits for stakeholders.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference45 articles.

1. Strategy and society: The link between competitive advantage and corporate social responsibility;Porter;Harv. Bus. Rev.,2006

2. Creation of shared value;Porter;Harv. Bus. Rev.,2011

3. Conceptual mapping of shared value creation by the private commercial banks in Bangladesh;Islam;Asian J. Sustain. Soc. Responsib.,2019

4. Hicks, J. (1969). A Theory of Economic History, Oxford University Press.

5. Schumpeter on Money, Banking, and Finance: An Institutionalist Perspective;Nasica;Eur. J. Hist. Econ. Thought,2009

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3