Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4889
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dc.contributor.authorSahoo, Gouri Sankar
dc.date.accessioned2024-07-24T05:37:20Z
dc.date.available2024-07-24T05:37:20Z
dc.date.issued2024-06
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/4889
dc.descriptionBiosketch: Gouri Sankar Sahoo is a fourth-year doctoral candidate in Finance and Control at IIM Calcutta. Prior to joining IIM Calcutta, he accumulated nearly six years of experience at RBL Bank Limited and Samsung Research Institute, India. He holds an MBA in Finance from IIM Ranchi and a Bachelor's degree in Electronics and Communications from NIT Rourkela.en_US
dc.description.abstractFinancial engineering is the application of mathematical and computational techniques related to financial instruments in resolving complex problems. This involves developing new financial instruments and creating innovative risk management strategies. The components of financial engineering include mathematical modeling, complex statistical analysis, and advanced computing tools (Hull, 2015). The traditional lending models have relied heavily on credit scoring systems such as CIBIL, Equifax, and Experian (in Indian Context) that use historical data to assess borrowers’ creditworthiness. These models consider credit history, income levels, employment status, and debt-income ratios. However, these methods have limitations like limited data usage and non-real-time analysis on subjectivity grounds (Thomas et al., 2002).en_US
dc.language.isoen_USen_US
dc.publisherThe Financial Research and Trading Laboratory (FRTL), IIM Calcuttaen_US
dc.subjectFinancial engineeringen_US
dc.subjectCIBIL
dc.subjectRisk Management
dc.subjectDecision Making
dc.subjectNatural Language Processing (NLP)
dc.subjectData Privacy
dc.titleRedefining Lending: Harnessing Financial Engineering in the Modern Eraen_US
dc.typeArticleen_US
Appears in Collections:Issue 1, June 2024

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