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A study on loan approval and non‐performing asset—Segment identification
Author(s) -
Sharma Anjali,
Parasar Ambudheesh
Publication year - 2020
Publication title -
journal of public affairs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 20
eISSN - 1479-1854
pISSN - 1472-3891
DOI - 10.1002/pa.2015
Subject(s) - non performing loan , loan , identification (biology) , asset (computer security) , obstacle , business , finance , actuarial science , financial system , computer science , botany , computer security , biology , political science , law
Nonperforming assets (NPAs) are a huge challenge infront of the Indian economy. Accumulating NPA is forming a burden and obstacle for economic growth. Financial institutions are struggling with nonperforming loans, and their efficiency is getting tremendously impacted. The aims of this study are to find out the critical factors for granting mortgage loan and to develop a formula that can help financial institutions in identifying and differentiating a possible loan defaulter from a non‐defaulter. The formula developed and the identification of defaulters could help in reducing NPA of financial institutions. Managers and loan approvers can use this model to grant loans to verified borrowers and can also keep an eye on their existing customers.