New Technologies for Small and Medium-Size Enterprise Finance

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Presentation transcript:

New Technologies for Small and Medium-Size Enterprise Finance World Bank December 6, 2002

Traditional SME lending approach   Consumer Lending SME Lending Medium Business to Corporate Lending Annual Turnover N/A US$250,000 to US$15,000,000 > US$15,000,000 Loan Size Up to US$50,000 US$50,000 to $1,000,000 > US$1,000,000 Lending Basis Unsecured Unsecured/Secured Loan Application Retail Retail/Wholesale Wholesale Credit Application Method Standard simple loan applications Individually written loan proposal by lending officers Individual written loan proposal Loan Underwriting Quantitative Quantitative/Qualitative Credit evaluation criteria Income Proof Debt to income ratio Financial statements Cash flow statements Business Plan Character of entrepreneurs Loan Documentation Simple documents Complex documents Loan servicing Call center with no designated relationship managers Designated relationship managers Loan management Repayment experience and exception transactions Compliance with business plans

Rethinking of lending approach 1) Going beyond top tier “SMEs” Accept “not so strong” SMEs are the norm Adopt credit card lending thinking and price risk and rewards appropriately Loan yield of Prime + 1% Expected loss of 0.5%-1.0% 5% Top tier SMEs with collateral or strong balance sheet 90% Loan yield of Prime + 10% Expected loss of 1.0% - 5% Small SMEs with limited resources, high leverage, possibly operating losses from time to time Loan yield of Prime + 15% Expected loss of 5%-10% 5% SMEs that are not viable

Rethinking of lending approach 2) Seeking new source of information beyond financial statements, cash flow projections and business plans. Current required information too static and outdated to be relevant in credit decisions Alternative reliable information that can be obtained from SMEs include: Who are customers of SMEs How much do SMEs sell to customers? How much cash do SMEs collect from customers? Internet makes it possible for SMEs to provide such information on a timely basis

SMEloan Hong Kong Limited

SMEloan Hong Kong It leverages the Internet to capture on-going business information from SME borrowers in order to build a dynamic risk management and loan servicing model for SME lending Loans are extended against the cash flow and business performance and secured by account receivable

Risk philosophy of lending to SMEs Our simple risk philosophy works the same way as SMEs extending credit to their own customers. SMEs extending credit to buyers SMEloan extending loans to SMEs Deliver Goods Sell to debtors Sell to customers Invoice debtors Collect from customers Collect from debtors Good customers!!! Good borrowers!! The comfort of extending credit is based on the continuing “viewing” of customers’ performance The comfort of SMEloan extending loans is based on the continued “viewing” of SME’s performance

SMEloan lending model Focus on quantitative data to achieve credit evaluation consistency - Analyze the triangular relationship between cash flows, sales and account receivable Manage SME borrowers of higher risks instead of all borrowers Know which SME borrowers are having problems Leverage Internet to obtain information from SME borrowers Reduce loan servicing costs Empower SMEs to borrow more when they want to Strengthen customer retention Focus on segment between US$25K to US$750K loans Broaden the market you can service

Why Account Receivable? Effective source of repayment in business loans Allow you to achieve balanced risks and returns. Unsecured loans with no collateral Credit cards Personal loans < US$25K Interest rates = 20% + Risks Rewards Has to be secured by “something” to bring down the costs Interest rates = 8% - 18% Loans fully secured by collateral Mortgage loans Secured OD Secured L/C Interest rates = < 7%

Traditional SME Lending Process vs SMEloan Process Traditional SME lending is a largely manual relying on human judgment on a case by case basis Loan Origination Underwriting Documentation Loan Servicing Management SMEloan process automates data capturing and implement decision standardizations using comprehensive rules Online and offline originations Loan Origination Underwriting Loan Risk Management Servicing Company’s sales, accounts receivable and cash are monitored Exceptions module picks up any irregularities and credit risks Platform monitors utilization and increases credit limits and service SME borrower temporary needs automatically Customer Loan Increase Request Internet based loan application engine Instant approval Supporting documentation to verify information

SMEloan data flow SME 3 SME 2 SME 1 SME 4 SME 5 SME 6 SME 4 SME clients with exceptions – 6-15% exception clients SME 1 SME 2 SMEloan Exception Engine Provide sales and Debtor info and Debtor collection info SME 1 SME 2 SME 5 Good performing SME clients 85-94% good clients SME 3 SME 4 SME 6 SME 5 Utilizing the exception engine, SMEloan segregates the good and bad risks, SMEloan can manage risks more appropriately and support good companies effectively.

Results of SMEloan Model Borrowers get more financing when they grow their business, ensuring customers’ loyalty Achieve scalability and consistency in credit evaluation by focusing only on those borrowers that are showing exceptions. Able to move to resolve problem situations before other creditors know Reduce credit losses as SMEloan “know” the business performance of borrowers on a real time basis.

What we learn? Lending to SMEs can be done without credit bureau and vast amount of business data Risks can be managed by obtaining on-going business information from SME borrowers Lending to SMEs is the most effective way to move SMEs online Web based system allows quick deployment

Important requirements to development of financing for SMEs Removal of cap on interest rate that financial institutions can charge to SMEs, distorting the risk reward relationship Development of legal system that could allow financial institutions to obtain and enforce security Minimum Government loan guarantee programs which tend to discourage financial institutions from making significant commitment into lending to SMEs