|
Index
|
|
|
Chapter 1: The Genesis of Credit – Why It Matters
|
|
|
|
Definition of credit history (individual vs. corporate)
|
|
|
|
Why past behavior predicts future performance
|
|
|
|
The shift from purely asset-backed lending to cash flow and credit history-based lending
|
|
|
|
The concept of financial discipline
|
|
|
Chapter 2: The Scorecard – Understanding CIBIL and Credit Bureaus
|
|
|
|
Role of credit bureaus in the financial ecosystem
|
|
|
|
What information is collected by credit bureaus (loan types, amounts, repayment status, inquiries)
|
|
|
|
The mechanics of CIBIL Score calculation (payment history, credit utilization, credit mix, length of credit history, new credit)
|
|
|
|
Distinction between individual and corporate credit reports
|
|
|
Chapter 3: Anatomy of a Credit Report – More Than Just a Score
|
|
|
|
Detailed breakdown of a credit report:
|
|
|
|
1. Personal information accuracy.
|
|
|
|
2. Account information (loan type, lender, amount, status, payment history)
|
|
|
|
3. Payment history (DPD – Days Past Due, settlement, written-off accounts)
|
|
|
|
4. Credit utilization ratio (high utilization as a red flag)
|
|
|
|
5. Credit mix (secured vs. unsecured)
|
|
|
|
6. Length of credit history
|
|
|
|
7. Inquiries section (multiple recent inquiries)
|
|
|
|
Identifying red flags and positive indicators within the report
|
|
|
|
The importance of understanding repayment behavior for different loan types
|
|
|
Chapter 4: Beyond the Numbers – Qualitative Aspects of Credit History
|
|
|
|
Contextualizing negative entries (e.g., medical emergencies, job loss vs. deliberate default)
|
|
|
|
Frequency and recency of negative event
|
|
|
|
Borrower's communication and transparency during past financial difficulties
|
|
|
|
Impact of personal guarantees in corporate lending
|
|
|
|
Understanding the 'why' behind a credit behavior
|
|
|
Chapter 5: Repairing and Building – Guiding Borrowers
|
|
|
|
Practical steps for improving CIBIL score:
|
|
|
|
1. Paying EMIs on time.
|
|
|
|
2. Reducing credit card outstanding
|
|
|
|
3. Avoiding multiple new credit applications
|
|
|
|
4. Maintaining a good credit mix
|
|
|
|
5. Checking credit report regularly for errors
|
|
|
|
Impact of debt consolidation
|
|
|
|
Role of secured loans in building credit
|
|
|
|
How long negative entries remain on the credit report
|
|
|
|
Strategies for educating potential borrowers
|
|
|
Chapter 6: The Macro Lens – Economic Cycles and Sectoral Health
|
|
|
|
Impact of GDP growth, inflation, and interest rates on business viability
|
|
|
|
Understanding the business cycle (expansion, peak, contraction, trough)
|
|
|
|
Government policies and regulatory changes affecting industries (e.g., GST, demonetization, production-linked incentives)
|
|
|
|
Global economic trends and their impact on Indian industries
|
|
|
|
Identifying sunrise vs. sunset industries
|
|
|
Chapter 7: Porters' Five Forces – Analyzing Industry Attractiveness
|
|
|
|
Detailed application of each of Porter's Five Forces:
|
|
|
|
1. Threat of New Entrants: (Barriers to entry, capital requirements, regulatory hurdles).
|
|
|
|
2. Bargaining Power of Buyers: (Buyer concentration, availability of substitutes, price sensitivity)
|
|
|
|
3. Bargaining Power of Suppliers: (Supplier concentration, uniqueness of input, switching costs)
|
|
|
|
4. Threat of Substitute Products or Services: (Availability and performance of alternatives, price-performance tradeoff)
|
|
|
|
5. Rivalry Among Existing Competitors: (Industry growth rate, number and diversity of competitors, exit barriers).
|
|
|
|
Translating Porter's analysis into credit risk assessment
|
|
|
|
Identifying industries with sustainable competitive advantages
|
|
|
Chapter 8: Key Industry Ratios and Benchmarks – What to Look For
|
|
|
|
Examples of industry-specific ratios and their significance:
|
|
|
|
1. Manufacturing: Inventory turnover, capacity utilization, raw material costs as % of sales.
|
|
|
|
2. Retail: Sales per square foot, gross margin, stock turnover.
|
|
|
|
3. IT/Services: Revenue per employee, client retention rates, project completion rates
|
|
|
|
4. Real Estate: Project completion risk, sales velocity, land bank valuation
|
|
|
|
5. Agriculture: Yield per acre, crop cycle management, monsoon dependence
|
|
|
|
Sources for industry benchmarks (RBI reports, industry associations, credit rating agencies, financial databases)
|
|
|
|
The concept of 'industry best practices' and identifying outliers
|
|
|
Chapter 9: The Regulatory Landscape and Geopolitical Risks
|
|
|
|
Impact of government policies (fiscal, monetary, sectoral)
|
|
|
|
Regulatory bodies and their influence (e.g., SEBI for capital markets, IRDAI for insurance, sectoral regulators)
|
|
|
|
Environmental regulations and their impact on industries (e.g., mining, manufacturing)
|
|
|
|
Geopolitical risks (trade wars, sanctions, political instability in trading partners)
|
|
|
|
Technological disruptions and their effect on traditional industries
|
|
|
|
ESG (Environmental, Social, and Governance) factors and their growing importance
|
|
|
Chapter 10: Industry Specific Challenges and Opportunities
|
|
|
|
Deep dive into 2-3 diverse industries (e.g., IT Services, Manufacturing, Hospitality, Agriculture, Healthcare) to illustrate:
|
|
|
|
1. Typical business models
|
|
|
|
2. Common challenges faced (e.g., supply chain disruptions, labor shortages, technological change)
|
|
|
|
3. Growth drivers and opportunities
|
|
|
|
4. Specific risks to monitor (e.g., seasonality, commodity price volatility)
|
|
|
|
5. Tailored lending approaches for each industry
|
|
|
|
Case studies or hypothetical scenarios for different industries
|
|
|
Chapter 11: The Holistic View – Integrating the Two Pillars
|
|
|
|
The interrelationship between credit history and industry dynamics
|
|
|
|
Decision matrix: Strong Credit History + Favorable Industry Dynamics = High Confidence
|
|
|
|
Decision matrix: Strong Credit History + Unfavorable Industry Dynamics = Caution, assess resilience
|
|
|
|
Decision matrix: Weak Credit History + Favorable Industry Dynamics = High Risk, assess external factors driving growth
|
|
|
|
Weighting of factors in different scenarios
|
|
|
Chapter 12: Risk Mitigation Strategies – Lending Smart
|
|
|
|
Importance of collateral (primary and secondary)
|
|
|
|
Covenants (financial, operational, informative)
|
|
|
|
Escrow accounts and hypothecation
|
|
|
|
Personal and corporate guarantees
|
|
|
|
Loan tenure and repayment scheduling adjustments
|
|
|
|
Diversification of portfolio across industries
|
|
|
|
Stress testing borrower financials against industry downturns
|
|
|
Chapter 13: The Future of Credit Assessment – AI, Data, and Beyond
|
|
|
|
Role of AI and Machine Learning in credit scoring and industry analysis
|
|
|
|
Big data analytics for identifying emerging trends and risks
|
|
|
|
Alternative data sources (utility payments, mobile data, social media for consumer credit)
|
|
|
|
Real-time monitoring of borrower and industry health
|
|
|
|
Predictive modeling for early warning signals
|
|
|
|
Challenges of data privacy and ethical AI in lending
|
|
|
|
The continuing importance of human judgment and relationship banking
|
|
|
Conclusion: The Evolving Role of the Banker
|
|