An Intelligent Risk Assessment System for Locally-Granted Student Loan of Undergraduates Based on Game Theory

Abstract

The locally-granted student loan for undergraduates is a policy loan to help the needy students successfully complete their studies. The granted objects of the locally-granted student loan for undergraduates are those who are not yet working. They have no stable sources of income, no credit history and no collateral of personal assets. Therefore, there is a certain risk in the locally-granted student loan for undergraduates. The way to reduce the risk of locally-granted student loan is to conduct risk assessment at the time of examination and approval, limiting the occurrence of nonperformance from the source. This paper designs and proposes a method to assess the risk of locally-granted student loan for undergraduates from the perspective of game theory to avoid the risk in the loan for all parties.