AN EMPIRICAL STUDY ON CREDIT APPRAISAL EFFICIENCY IN CREDIT RISK MANAGEMENT AT HDFC BANK

This study empirically examined credit appraisal efficiency at HDFC Bank Limited across three dimensions: operational process efficiency, digital technology adoption, and NPA outcomes. The comprehensive analysis of primary survey data from 100 credit professionals and five years of secondary financial data yields clear conclusions. HDFC Bank's credit appraisal framework is demonstrably efficient, scoring above industry norms across all measured dimensions. The bank's strategic investment in digital credit infrastructure has generated efficiency gains of up to 34% in specific appraisal processes and contributed to an average TAT reduction of 45%. Most significantly, this appraisal quality translates directly into superior NPA performance — a Gross NPA ratio of 1.24% standing 256 basis points below the industry average. The study recommends: (i) expanding predictive NPA model adoption from 58% to 85% by FY2025-26, especially in MSME and agricultural segments; (ii) implementing real-time credit monitoring dashboards for early behavioral warning signals; (iii) standardizing credit appraisal templates with sector-specific financial benchmarks; and (iv) mandating minimum credit appraisal quality standards through RBI regulation, similar to Basel III capital norms. HDFC Bank's technology-driven, disciplined credit appraisal culture represents a replicable best-practice model for the Indian banking industry. Continued investment in predictive risk models and expanded AI adoption will be critical to sustaining this competitive advantage as the bank integrates its expanded post-merger balance sheet.

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