The development of the sharing economy offers opportunities to reduce urban carbon
emissions. Unfortunately, few studies have examined the impact of the sharing economy on …

Credit default prediction is a critical task in managing financial institutions. The need to
enhance risk anticipation models' overall robustness, and performance while ensuring these …

One of the most fundamental issues that banks and other financial institutions must deal with
is loan prediction because it has a big impact on profits. Even though there are several …

Unpaid debt strains the Field Collection Agent (FCA) and causes tremendous financial loss.
Most research focused on analyzing the customer credit risk before loan approval to reduce …

In this study, a machine learning algorithm-based credit default risk determination was
conducted for the Okm vehicle corporate portfolio in an automotive finance company, using …

Loan defaults affect the financial sector, particularly impacting banks and lending
institutions, resulting in a rise of non-performing assets and financial strain. To counteract …

Purpose: The purpose of this paper is to systematically review of the current research on the
topic of credit risk prediction. The aim is to identify the models commonly used for predicting …

Commercial banks usually classify customers according to their credit reports when making
loans. In this study, we put our focus on classifying customers based on their credit reports …

In the current generation as the world is digitalizing so fast that we can't even imagine, even
online banking became very common among lot of people. As we all know, at one point of …

Die Anwendung von zunehmend komplexeren Machine-Learning-Modellen verbessert im
Allgemeinen zwar die Vorhersagegenauigkeit, geht jedoch mit einer anwachsenden …