Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending
Online peer-to-peer (P2P) lending is a new form of loans. Different from traditional banks,
lenders provide loans to borrowers directly through P2P platforms. Since many P2P loans …
lenders provide loans to borrowers directly through P2P platforms. Since many P2P loans …
Mapping the fintech revolution: how technology is transforming credit risk management
Purpose This study aims to investigate the intersection of financial technology (fintech) and
credit risk exploring the impact of fintech on credit risk within the banking and financial …
credit risk exploring the impact of fintech on credit risk within the banking and financial …
[HTML][HTML] Analysis of credit risk faced by public companies in Brazil: an approach based on discriminant analysis, logistic regression and artificial neural networks
JW do Prado, F de Melo Carvalho… - Estudios …, 2019 - scielo.org.co
The aims of the present article are to identify the economic-financial indicators that best
characterize Brazilian public companies through credit-granting analysis and to assess the …
characterize Brazilian public companies through credit-granting analysis and to assess the …
Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space
The credit scoring models are aimed to assess the capability of refunding a loan by
assessing user reliability in several financial contexts, representing a crucial instrument for a …
assessing user reliability in several financial contexts, representing a crucial instrument for a …
Associated probabilities aggregations in multistage investment decision-making
G Sirbiladze, H Garg, I Khutsishvili, B Ghvaberidze… - Kybernetes, 2023 - emerald.com
Purpose The attributes that influence the selection of applicants and the relevant crediting
decisions are naturally distinguished by interactions and interdependencies. A new method …
decisions are naturally distinguished by interactions and interdependencies. A new method …
[PDF][PDF] Fuzzy classification rules with frvarpso using various methods for obtaining fuzzy sets
Having strategies capable of automatically generating classification rules is highly useful in
any decision-making process. In this article, we propose a method that can operate on …
any decision-making process. In this article, we propose a method that can operate on …
Minería de datos, minería de textos y Big Data
Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
para la resolución de problemas de Minería de Datos y Big Data utilizando técnicas de …
para la resolución de problemas de Minería de Datos y Big Data utilizando técnicas de …
Variations of particle swarm optimization for obtaining classification rules applied to credit risk in financial institutions of Ecuador
Knowledge generated using data mining techniques is of great interest for organizations, as
it facilitates tactical and strategic decision making, generating a competitive advantage. In …
it facilitates tactical and strategic decision making, generating a competitive advantage. In …
The Application of Financial Technology in the Intelligent Management of Credit Risk Under the Background of Big Data
T Xie - The International Conference on Cyber Security …, 2023 - Springer
The application of big data (BD) technology in the field of financial technology is becoming
more and more extensive, and its development trends and prospects are becoming wider …
more and more extensive, and its development trends and prospects are becoming wider …
Fuzzy Logic in Finance
The purpose of this chapter is to indicate the possibilities of using the fuzzy approach in
finance, particularly in the example of banking and crisis prevention. In particular, the fuzzy …
finance, particularly in the example of banking and crisis prevention. In particular, the fuzzy …