Investigation of finance industry on risk awareness model and digital economic growth
Investigation of finance industry on risk awareness model and digital economic growth
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DOI：
10.1007/s10479-021-04287-7
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发表时间：
2021-10-29
影响因子：
4.8
通讯作者：
Sivakumar, V
中科院分区：
文献类型：
--
作者：
Chen, Yanyu;Kumara, E. Kusuma;Sivakumar, V
财务风险是指企业或投资的意外损失。信用风险、流动性风险和操作风险是一些更普遍和独特的财务问题。这是一种风险形式，可能导致利益相关者的资本损失。自下而上建立一家公司是昂贵的。任何一家公司在其生命中的某个时候都可能需要从外部获得现金来发展。金融风险发生并以各种形式和规模影响几乎每个人。数字金融服务是依赖于客户分布和数字技术使用的金融服务。虽然数字金融包容性（DFI）在刺激经济增长方面很重要，但经验数据相对较少。但是，数字金融是否是解决方案，金融包容性的好坏结果都在上升。本文将探讨数字金融包容性的重要性，利用信息和通信技术（DFI-ICT）技术通过经济稳定促进可持续增长。目前，快速数字技术正被用于提供大大降低成本的金融服务，从而增强金融包容性，并使经济生产力得到大规模提高。尽管人们广泛提及数字金融的好处通过移动的电话、互联网或信用卡提供的金融服务我们试图衡量其经济影响的大小。实验结果表明，该模型的分类风险等级率达到18.9%，并对模型的分类错误率进行了检验。
Financial risk is unintended to lose money on an enterprise or investment. Credit risk, Liquidity risk, and operational risk are some more prevalent and unique financial concerns. This is a form of risk that can lead to a capital loss for stakeholders. Building a company from the bottom up is expensive. Any firm may need to go for cash outside to develop at some time in their lives. Financial hazards occur and influence almost every person in various forms and sizes. Digital Financial Services are financial services that rely on customer distribution and the use of digital technologies. While digital financial inclusion (DFI) is important in stimulating economic growth, there is only relatively little empirical data. But whether digital finance is the solution both the bad and the good results of financial inclusion raise. This essay will investigate the importance of digital financial inclusion, utilizing information and communications technology (DFI-ICT) techniques to promote sustainable growth via economic stability. Fast digital technology is currently being used to deliver financial services considerably reduced cost, thereby enhancing financial inclusion and allowing large-scale economic productivity improvements. Although there has been a broad-ranging mention of the benefits of digital finance-financial services offered through mobile telephones, the internet, or cards-we try to measure the size of the economic effect. The experimental result shows that the classification risk level ratio is achieved to 18.9%, and the error rate of classification of the model is checked.