Presentation f (1)
Effective Credit Management
Effective and strong credit management is crucial for decreasing Nonperforming Loans (NPL).
Course: Diploma in Credit Management; Subject: Credit Operations & Marketing; Lecturer: Mr. Methsiri S. Somachandra; Group No: 01.
Understanding Nonperforming Loans (NPLs)
Definition: Loans or credit facilities classified as non-performing when payments are overdue by 90 days.
Characteristics: NPLs do not generate interest or principal repayments and serve as indicators of financial instability.
Key Causes of NPLs:
Poor borrower identification.
Weak collateral evaluation.
Inefficient credit policies and controls.
What is Credit Management?
Key Components:
Pre-approval assessment.
Decision-making framework.
Post-approval monitoring.
Purpose: To ensure risk-free lending, minimize defaults, and improve asset quality.
Effective Credit Management in Action
Borrower Assessment: Evaluating creditworthiness based on the 6Cs of Credit.
Decision Making: Implementing standardized approval processes.
Collateral Evaluation: Conducting proper valuation and verification.
Monitoring: Utilizing early warning systems and proactive recovery strategies.
Policies and Controls: Adopting defined rules and ensuring compliance.
Impact on NPL Reduction
Benefits of Effective Credit Management:
Minimization of lending errors and risk exposure.
Improved borrower screening processes.
Strong collateral recovery methods.
Reduced default rates lead to better institutional performance.
What is Credit Assessment?
Credit assessment evaluates the creditworthiness of potential borrowers using financial and credit-related information.
Benefits include:
Risk evaluation and sound decision making.
Protection of financial assets and regulatory compliance.
Enhanced customer relationship management.
Credit Evaluation Models
Common Models:
06 Cs: Character, Capacity, Capital, Condition, Collateral, Cash Flow.
CCC PARTS: Character, Capacity, Capital, Purpose, Amount, Repayment, Terms, Society.
CAMPARI: Character, Ability, Margin, Purpose, Amount, Repayment, Insurance.
PARSER: Person, Amount, Repayment, Security, Expediency, Recommendation.
Character
Description: Borrower's reputation and track record regarding repayment.
Assessment methods:
Credit reports, credit scores, references, interviews, background checks.
Capacity
Description: Borrower’s ability to repay the loan based on income and debt obligations.
Assessment methods:
Income statements, cash flow statements, bank statements, and debt service coverage ratios.
Capital
Description: Financial reserves and investments indicating financial strength.
Importance of capital contribution in strengthening lender trust.
Assessment methods:
Net worth statements, savings, investments, and Loan to Value ratio (LTV).
Condition
Description: Terms of the loan and any economic conditions affecting the borrower.
Types of Covenants:
Affirmative Covenants: Actions that borrowers must take.
Restrictive Covenants: Prohibitions against certain borrower actions.
Collateral
Definition: Assets offered to secure a loan, serving as security against default.
Important factors affecting collateral value:
Liquidity, valuation, asset type, location, marketability.
Examples of collateral:
Property, vehicles, machinery, fixed deposits.
Cash Flow
Definition: The movement of money into and out of accounts reflecting financial health.
Importance of cash flow statements over income statements.
Benefits of assessing cash flow:
Enhances liquidity, aids in planning, ensures financial stability, supports decision-making.
Decision Making
Definition: Evaluating and choosing appropriate credit actions based on creditworthiness.
Key Points:
Sound decisions derived from comprehensive assessments.
Risk management focusing on mitigation of potential risks.
Regulatory compliance to legal standards.
Credit Committees and Multi-Level Approval
Description: Decision-making processes ensuring thorough evaluation.
Key Points:
Credit committees consist of experienced officers reviewing high-risk applications.
Multi-level approval for larger or higher-risk loans involving multiple evaluators.
Collaborative approaches encourage diverse perspectives.
Data Driven Decision Making
Importance of data analytics in credit management for informed decisions:
Predictive analytics for forecasting default risks.
Scenario analysis for varying economic impacts.
Insights to reduce bias in decision-making.
Continuous Improvement in Decision Making
Essential for adapting to market conditions.
Key Points:
Feedback mechanisms to learn from past decisions.
Training for credit officers on latest practices.
Benchmarking against industry standards for improvement.