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Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference [article]

Hang Miao, Kui Zhao, Zhun Wang, Linbo Jiang, Quanhui Jia, Yanming Fang, Quan Yu
2020 arXiv   pre-print
One of the most essential parts in credit cards is the credit limit management.  ...  Nowadays consumer loan plays an important role in promoting the economic growth, and credit cards are the most popular consumer loan.  ...  Conclusion In this paper, we propose a data-driven approach based on causal inference to manage the credit limit in intelligent ways.  ... 
arXiv:2007.05188v1 fatcat:2uome7qm2vd3hdlz32hqnkkq64

Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance [article]

Satyam Kumar, Vadlamani Ravi
2022 arXiv   pre-print
In a first-of-its-kind study, we employed the principles of causal inference to provide explainability for solving the analytical customer relationship management (ACRM) problems.  ...  In statistics, causality has been studied and applied for many years, but not in great detail in artificial intelligence (AI).  ...  This suggests that a slight change in the LIMIT BAL's value would have little effect on the distribution of defaulters.  ... 
arXiv:2208.10916v1 fatcat:brfmunh635ayzi6y7virk6vcfy

An Introduction to Artificial Intelligence and Solutions to the Problems of Algorithmic Discrimination [article]

Nicholas Schmidt, Bryce Stephens
2019 arXiv   pre-print
While our observations generalize to many contexts, we focus on the fairness concerns raised in consumer credit and the legal requirements of the Equal Credit and Opportunity Act.  ...  Additionally, there are laws in place to ensure that consumers understand why they are denied access to services and products, such as consumer loans.  ...  It would be possible to While name-in-email address is clearly not causally related to credit outcomes, many traditional variables used in credit models are similarly not directly causally related to credit  ... 
arXiv:1911.05755v1 fatcat:5iit4pmwnzcypdsihoiufs3rrm

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, TradeTech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and  ...  processing, augmentation, optimization, and system intelligence enhancement.  ...  -Cause-effect: such as evaluating heterogeneous causal effects (e.g., credit for small firms) by causal inference.  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4

An Artificial Intelligence Approach towards Investigating Corporate Bankruptcy

Stefan Cristian Gherghina
2015 Review of European Studies  
The assessment of business failure provides tremendous information for governments, investors, shareholders, and the management based on which financial decisions are taken towards preventing potential  ...  Therefore, we have considered a couple of production rules based on indebtedness ratios (e.g.  ...  doctoral and postdoctoral research in Romanian economics science domain".  ... 
doi:10.5539/res.v7n7p5 fatcat:5ljg66uqizew5aktlcoyktnuim

Cashless Stores and Cash Users

Oz Shy
2019 Federal Reserve Bank of Atlanta, Working Papers  
For the lender, down-payment requirements create a tradeoff between loan volume and quality that is managed using credit scores to risk-base the pricing of these loans.  ...  Auto loan default rates are found to increase in loan size, and riskier borrowers demand larger loans; but lenders are found to limit loan sizes and use credit scores to riskbased price borrowers in an  ... 
doi:10.29338/wp2018-11 fatcat:ofsfnsf6rfeg5m7ffy665ycsi4

Risky Business: Legal Implications of Emerging Technologies Affecting Consumers of Financial Services [chapter]

Zofia Bednarz, Kayleen Manwaring
2021 Internet and New Technologies Law  
We discuss harms to consumers potentially arising in terms of discrimination, privacy breaches, digital manipulation and financial exclusion, and argue policymakers and regulators must deliver a fit-for-purpose  ...  This, however, may come at a cost to consumers.  ...  decision-making. 18 ML models tend to be empirically constructed, so their outcomes are based on the identification and application of correlations in the data, rather than causal reasoning.  ... 
doi:10.5771/9783748926979-59 fatcat:dbknaqvesnd6hmelrf5dijl4di

Consumer Protection for Financial Inclusion in Low and Middle Income Countries: Bridging Regulator and Academic Perspectives

Seth Garz, Xavier Gine, Dean Karlan, Rafe Mazer, Caitlin Sanford, Jonathan Zinman
2020 Social Science Research Network  
Evidence-based consumer financial protection will require substantial advances in theory and especially empirics, and we outline key areas for future research.  ...  Markets for consumer financial services are growing rapidly in low and middle income countries and being transformed by digital technologies and platforms.  ...  Circumstantial evidence on decision and market failures, and its limitations A small body of empirical evidence identifies plausibly causal downstream effects of increased access to consumer credit on  ... 
doi:10.2139/ssrn.3750236 fatcat:amik3eubhzcmnk3smiqtjpnyce

Investing human capital in education for unlimited excellence in KSA

Hoda Ahmed Ibrahim Abdelnabi, Arab East Colleges, Riyadh, KSA
2022 The business & management review: Conference Proceedings  
The study recommended the Develop a plan based on sustainable development of human capabilities and develop them to cope with future challenges that are heading towards technology and artificial intelligence  ...  The study aimed to shed light on the importance of investing human capital in education for distinction without borders and to identify human capital indicators, human capital theory, internal growth theory  ...  from commercial banks as a percentage of GDP Z: Bank Z-score NPL: Non-Performing Loans to Total Gross Loans CPI: Consumer price index (Base year: 2010) TO: Trade Openness proxied by Sum of exports and  ... 
doi:10.24052/bmr/v13nu01/art-10 fatcat:wp73ymbqvnb2fd6nw6ziiml264

Data science and AI in FinTech: an overview

Longbing Cao, Qiang Yang, Philip S. Yu
2021 International Journal of Data Science and Analytics  
The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, Trade-Tech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and  ...  processing, augmentation, optimization, and system intelligence enhancement.  ...  -Cause-effect: such as evaluating heterogeneous causal effects (e.g., credit for small firms) by causal inference.  ... 
doi:10.1007/s41060-021-00278-w fatcat:4qo3swacjbaaxh56p5bvhmjzqa

Financial Literacy, Financial Education, and Economic Outcomes

Justine S. Hastings, Brigitte C. Madrian, William L. Skimmyhorn
2013 Annual Review of Economics  
In this article, we review the literature on financial literacy, financial education, and consumer financial outcomes.  ...  We review the literature on alternative policies to improve financial outcomes and compare the evidence with that on the efficacy and cost of financial education.  ...  Learning in the credit card market. Work. Pap., Fed. Reserve Bank Chicago  ... 
doi:10.1146/annurev-economics-082312-125807 pmid:23991248 pmcid:PMC3753821 fatcat:i4fa63ojdbaczficqrrzocguky

Value of big data to finance: observations on an internet credit Service Company in China

Shaofeng Zhang, Wei Xiong, Wancheng Ni, Xin Li
2015 Financial Innovation  
Methods: Based on 100Credit's business practices, this paper summarizes four aspects related to the value of Big Data in Internet credit services.  ...  The company makes use of Big Data on multiple aspects of individuals' online activities to infer their potential credit risk.  ...  Based on the combine dataset, from an e-commerce perspective, one can predict the preference of each consumer given his/her previous activities.  ... 
doi:10.1186/s40854-015-0017-2 fatcat:klax5zwtuval3furz6emuceoti

Evaluating green innovation and performance of financial development: mediating concerns of environmental regulation

Ching-Chi Hsu, Ngo Quang-Thanh, FengSheng Chien, Li Li, Muhammad Mohsin
2021 Environmental science and pollution research international  
The findings indicate that green financing reduces short-term lending, thus limiting clean energy overinvestment, while the long-term loans have little impact on renewable energy overinvestment, and the  ...  The research-based education increases the patents in green innovation and boosts the environmental policy. The financial development led to green technological development and innovation.  ...  In the causal chain, technological progress plays an important role as a mediator.  ... 
doi:10.1007/s11356-021-14499-w pmid:34089450 fatcat:mo4gp7cdc5edxhc7t3hwon3nkq


Yuan Qi, Jing Xiao
2018 Communications of the ACM  
When the service was launched in 2010, the first loan was for only 1,300 RMB (~$180 USD). Ant Financial built a credit model based on data of merchants' previous sales and transactions.  ...  How can causal inference be applied in a complex system and when only observational data are available? Answering these questions will lead to tomorrow's breakthroughs. Figure 1 . 1 Figure 1.  ... 
doi:10.1145/3239550 fatcat:omsrfmmo4beyribicp5bq75jh4

A Hybrid Method for Credit Risk Assessment of Bank Customers

Sanaz Pourdarab, Ahmad Nadali, Hamid Eslami Nosratabadi
2011 International Journal of Trade, Economics and Finance  
Credit risk assessment is one of the crucial issues which financial institutions particularly banks are faced and determining the effective variables is one of the critical parts in this type of studies  ...  The presented steps have been studied in an Iranian Bank as empirical study.  ...  A credit score is primarily based on credit reports and information received from some major credit reporting agencies.  ... 
doi:10.7763/ijtef.2011.v2.90 fatcat:qz4nx3bk5bdjpn766zjunl6yzy
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