Order from us for quality, customized work in due time of your choice.
The research
will address the following questions and hypotheses:
Question 1: Can
alternative data sources, such as social media activity and transaction
history, augment the accuracy of credit risk assessment compared to
traditional credit scoring systems?
Question 2: What
machine learning algorithms, when applied to credit risk modelling,
proffer
the highest predictive accuracy and efficiency?
Question 3: How
can the transparency and fairness of credit risk models be improved to
provide actionable insights for lending institutions?
Through an
in-depth investigation of these questions, this research aims to stipulate valuable
insights and solutions to the financial industry, ultimately bettering credit
risk modelling and
lending practices
in Mauritius.
Order from us for quality, customized work in due time of your choice.