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First-Tier-Large Banks. Soft data- 'Opaque' SMEs. Hard data 'Transparent' SMEs ... Bank-firm relations are stronger, more long-lived and exclusive, when borrowing ... – PowerPoint PPT presentation

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Bringing SMEs Closer to Commercial BanksThe
Role of Development Partners and Regional
Development BanksProf. Andreas AntoniouHead,
International Finance and Capital
MarketsCommonwealth SecretariatLondon, UK
  • Making Financial Markets Work for SMEs
  • Sandton Hilton
  • Johannesburg,
  • South Africa,
  • 26 October 2006

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Outline
  • Information Asymmetries in SME Borrowing The
    Nature of the Problem
  • Other Contributing Factors Affecting SME Lending
  • Some Ideas on the Role of Development Partners
    and RDBs

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1. Information Asymmetries
  • On the Borrowers side bounded rationality and
    principle-agent issues
  • On the Lenders side, need to separate
  • Large Centralised banks v Small Decentralised
    financial institutions
  • Hard v Soft Data

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Hard Data
  • Easily observable, quantifiable, verifiable,
    easily transferable e.g. tax returns, financial
    ratios, credit scores, accounts receivable,
    factoring and franchising agreements, etc.
  • Transaction Lending Technologies e.g. financial
    statement lending, small business scoring,
    asset-based lending, factoring, trade
    credit.

6
Soft data
  • Qualitative Information, e.g. reliability and
    character of applicant knowledge of local
    environment and community proprietary in nature
  • Relationship Lending

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Bank Size and Comparative Advantage in SME Lending
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Empirical Research Shows that
  • Bigger banks lend to larger clients or with
    better accounting records
  • The physical distance between a firm and the
    branch office increases with the size of the
    bank
  • Large banks use more impersonal channels and less
    face-to-face meetings
  • Bank-firm relations are stronger, more long-lived
    and exclusive, when borrowing from a small bank

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And that
  • A small firm will (attempt to) borrow from a
    large bank, only if faced with a credit
    constraint, i.e. doesnt have access to a smaller
    bank
  • In fact, additional recent research has shown
    that there is very low elasticity of substitution
    for sources of finance for borrowers of small
    banks (adverse selection), and that banks
    allocate less than 0.5 per cent of loan portfolio
    to new switching borrowers and 87 per cent to
    pre-existing borrowers!

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2. Other Contributing Factors
  • Financial Institutional Structure i.e. market
    presence and degree of competition
  • Lending Infrastructure i.e. prevailing legal,
    regulatory and supervisory framework

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2. Other Factors (cont.)
  • Macroeconomic Framework
  • Red Tape
  • Business Angel Networks
  • VC and SME Equity Funds
  • BAS and One-stop shops
  • Risk-sharing Instruments
  • Race and Gender

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3. The Role of Development Partners and RDB
  • The Trigger-Down Model (see diagram in paper)
    Provide ODA (Grants and/or Subsidies) to
    Multilateral and Regional Development Banks who,
    in turn, fund service-providers and financial
    intermediaries in order to enhance access to
    finance by SMEs.
  • So far, limited success because it does not
    address some key factors

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Such as (see paper)
  • Lack of SME market data and information
  • High costs in Pre-loan Screening and Post-loan
    Monitoring
  • Cost associated with Debt Collection and
    Maintenance
  • Limited Market Access for SMEs
  • Limited Capacity to Collect and Supply data

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Thus the need to develop Information platforms
(See paper)
  • These Platforms should complement existing
    interventions
  • Akin to Two-Sided markets
  • Network Externality Effects and chicken-and-egg
    problem
  • Market Failures and Inefficiencies need for
    targeted subsidies
  • But, market-based pricing
  • Expand the role and outreach of RDB
  • Enhance awareness/financial inclusion
  • Conscious Gender mainstreaming

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Thank You
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