The study on commercial bank's risk management behaviour with the innovation of its scientific and technological financial product by big data analysis algorithms

Dong-xue Shen, Weilun Huang
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Abstract

With the in-depth development of global economic integration, the competition in the financial industry at home and abroad has become more and more severe, and the innovation of financial products has gradually become a new development trend in the financial industry. For commercial banks, strengthening the innovation of financial products can attract more customers, thus reaping more substantial income and maintaining an advantageous position in the market competition. However, in the process of financial product innovation of commercial banks, the financial risks are also increasing, and how to achieve effective management of financial product innovation risks has become one of the hot topics of concern in the field of commercial banks. This paper takes the study of risk management of technological, financial product innovation of commercial banks as an example, based on methods of big data analysis algorithms, analysis of correlation, analysis of effects, analysis of Variance and analysis of regression, through questionnaires and research results, literature review, to explore Commercial Bank’s Risk Management Behavior on the innovation of its scientific and technological financial product(CBRMB) and its influencing factors. Regarding CBRMB, It mainly describes the degree of its risk influence through the following two aspects, including the number of inspectors and research budget, and among the influencing factors research Commercial bank's Risk management (CBRM), Commercial bank's Human Resource management (CBHRM), Commercial Bank's supervision ability on its Financial product innovation (CBSA), Commercial Bank's Internal control system (CBICS), and Commercial Bank's Development of scientific and technological financial products (CBD). According to the regression model operation results, commercial banks can refer to the research recommendations and optimize their scientific and technological innovation and risk management, improve the problems in the risk system, and enhance the operational efficiency of commercial banks to promote the healthy development of the financial market.
基于大数据分析算法的科技金融产品创新下商业银行风险管理行为研究
随着全球经济一体化的深入发展,国内外金融业的竞争越来越激烈,金融产品的创新逐渐成为金融业新的发展趋势。对于商业银行来说,加强理财产品的创新可以吸引更多的客户,从而获得更丰厚的收入,在市场竞争中保持优势地位。然而,在商业银行理财产品创新的过程中,金融风险也在不断增加,如何实现对理财产品创新风险的有效管理已成为商业银行领域关注的热点话题之一。本文以商业银行科技理财产品创新风险管理研究为例,基于大数据分析算法、相关分析、效应分析、方差分析和回归分析等方法,通过问卷调查和研究结果、文献综述等方式,探讨商业银行科技理财产品创新的风险管理行为及其影响因素。对于商业银行监管机构,主要通过检查人员数量和研究预算两个方面来描述其风险影响程度,并在影响因素中研究商业银行的风险管理(CBRM)、商业银行的人力资源管理(CBHRM)、商业银行对其金融产品创新的监管能力(CBSA)、商业银行的内部控制系统(CBICS)、商业银行开发科技金融产品(CBD)。根据回归模型运行结果,商业银行可以借鉴研究建议,优化科技创新和风险管理,改善风险体系中存在的问题,提高商业银行的运营效率,促进金融市场的健康发展。
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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