银行贷款偿还预测和收入预测框架

Chudi Dhruv, Deva Paul, M. H. Kumar, M A., M. S. Reddy
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引用次数: 0

摘要

本研究旨在建立一个预测收入与银行贷款偿还的预测框架。主要目标是准确预测个人的收入和偿还贷款的能力,以帮助他们做出明智的财务决策。采用数据驱动的方法,我们收集并分析了影响收入和贷款偿还的各种因素的数据,如就业经历、教育、信用评分和人口统计信息。这些数据将用于建立预测模型,为收入和贷款偿还提供准确的估计。这些模型将使用历史数据进行验证,并进行改进以提高准确性。该研究将重点开发两个独立的预测模型:一个用于收入预测,另一个用于银行贷款偿还预测。收入预测模型将根据个人的财务状况为个人提供未来收入的估计。银行贷款偿还预测模型将帮助金融机构根据借款人的财务历史和当前财务状况预测贷款偿还的可能性。这一预测框架将为个人的金融稳定性和借款人的信誉提供有价值的见解。它将帮助个人规划他们的财务未来,比如为退休储蓄或投资股票市场。它还将帮助金融机构做出明智的贷款决策,减少贷款违约风险,并改善金融业的整体健康状况。收入和银行贷款偿还预测预测框架的开发将为个人和金融机构提供有价值的见解和工具。对收入和贷款偿还的准确预测将有助于做出明智的财务决策,从而改善所有相关各方的财务稳定性和福祉。我们创建了一个用户友好的金融机器人,它可以根据用户查询提供金融术语的基本定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Framework for Bank Loan Re-Payment Prediction and Income Prediction
This research study aims to develop a predictive framework for income and bank loan repayment prediction. The primary objective is to accurately predict an individual's income and their ability to repay a loan to help them make informed financial decisions. Using a data-driven approach, we collected and analyzed data on various factors that impact income and loan repayment, such as employment history, education, credit score, and demographic information. This data will be used to build predictive models that can provide accurate estimates for both income and loan repayment. The models will be validated using historical data and refined to improve accuracy. The study will focus on developing two separate predictive models: one for income prediction and another for bank loan repayment prediction. The income prediction model will provide individuals with an estimate of their future income based on their individual financial circumstances. The bank loan repayment prediction model will help financial institutions predict the likelihood of loan repayment based on the borrower's financial history and current financial circumstances. This predictive framework will provide valuable insights into the financial stability of individuals and the creditworthiness of borrowers. It will help individuals plan for their financial future, such as saving for retirement or investing in the stock market. It will also assist financial institutions in making informed lending decisions, reducing the risk of loan defaults, and improving the overall health of the financial industry. The development of a predictive framework for income and bank loan repayment prediction will provide valuable insights and tools for both individuals and financial institutions. Accurate predictions of income and loan repayment will enable informed financial decisions, improving the financial stability and well-being of all parties involved. We have created a user-friendly financial bot that can provide basic definitions of financial terms based on user queries.
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