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Explanation: Credit scoring models are essential in finance for assessing the likelihood of borrowers repaying loans. These models use customer data, such as income, credit history, and debt levels, to calculate a credit score. A robust scoring model helps financial institutions reduce credit risk by identifying high-risk applicants and optimizing loan approval processes. For instance, machine learning algorithms can improve the accuracy of these models, allowing lenders to make data-driven decisions while ensuring compliance with regulatory standards. This proactive approach minimizes loan defaults and enhances portfolio quality. Option A: While A/B testing can refine loan offers, it does not directly address credit risk or loan default probability. Option C: Supply chain logistics optimization is more relevant in manufacturing and operations than in finance. Option D: Customer service enhancements like chatbots improve user experience but do not directly mitigate credit risk. Option E: Real-time stock market visualization is crucial for investment decisions but unrelated to credit risk assessment.
When was the Montreal Protocol signed with the aim of stopping the production and use of ozone-depleting substances like CFCs?
The “Jagananna Amma Vodi” scheme was launched by which state?
Recently Japan and __ have signed an agreement to develop hypersonic missile interceptor?
When was the windfall tax first imposed in India?
Who has been appointed as the President of the Goods & Services Tax Appellate Tribunal (GSTAT) by the Centre?
Which Indian state government has initiated 'Gunotsav 2024,' a comprehensive state-wide assessment for approximately 40 lakh students?
The Securities and Exchange Board of India (SEBI) has classified ______cases (companies) as untraceable out of 692 cases in the ‘difficult to recover...
Which of the following pairs is correctly matched for Brand Ambassador ?
CaC2 on treatment with water gives -
On whose recommendations was NABARD established?