How technology is Changing Microfinance: An Uncertain Future Prof. - - PowerPoint PPT Presentation

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How technology is Changing Microfinance: An Uncertain Future Prof. - - PowerPoint PPT Presentation

How technology is Changing Microfinance: An Uncertain Future Prof. Karl Dayson FRSA European Investment Bank Institute, Luxembourg 21 st November 2017 About the Presenter PhD on the demutualisation of building societies and creation of


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How technology is Changing Microfinance: An Uncertain Future

  • Prof. Karl Dayson FRSA

European Investment Bank Institute, Luxembourg 21st November 2017

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About the Presenter

  • PhD on the demutualisation of building

societies and creation of new mutuals in the UK

  • Worked for 20 years on financial

inclusion, financial services and institutions

  • Helped create 11 community finance firms
  • Drafted European Code of Conduct for

Microcredit Providers on behalf of the EC

  • Co-author of ‘Management Information

Systems for Microfinance’ (2015)

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Microfinance

  • Usually associated with loans to deprived communities in

the developing world.

  • Long history of microfinance in Developed World. Private

sector & linked to public policy (financial inclusion and SME)

  • EU defines as loans less than €25,000 for economic

purposes

  • Some debate about whether personal finance smoothing

should be included.

  • ResponsAbility 2017 Outlook broadened definition to

MSME lending.

  • Time to broaden the definition to include Developed World
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FinTech

  • Fintech is a portmanteau of financial technology that describes an emerging financial services sector in

the 21st century. Originally, the term applied to technology applied to the back-end of established consumer and trade financial institutions. Since the end of the first decade of the 21st century, the term has expanded to include any technological innovation in the financial sector, including innovations in financial literacy and education, retail banking, investment and even crypto-currencies like bitcoin. http://www.investopedia.com/terms/f/fintech.asp#ixzz4lgfbGriq

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Types of Fintech

  • MIS
  • Mobile phone banking
  • Peer-to-peer
  • Blockchain
  • Big Data, credit score and IoT
  • Machine Learning & AI
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Fintech in ‘microfinance’ space

  • BKash (Bangladesh) transaction

services

  • M-Peso and M-Shwari in Kenya

for m-payments and m-credit

  • BC Finance (Myanmar) and

Infoteria (Japan) testing Blockchain

  • Peer-to-Peer Lending Club with

CDFI in California. Thin Cats with ART, Birmingham, UK.

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Why Does Fintech matter now?

  • 1. Crises of legitimacy for microfinance providers.
  • 2. Marginalisation of community finance in USA & UK should be a warning (changes in

relationship banking & declining market share)

  • 3. Shift in cost basis results in undercutting
  • 4. Innovators are seen as the good guys (reputational damage)
  • 5. Regulation favours tech firms over finance firms
  • 6. Tech undercuts moral purpose of microfinance firms
  • 7. Implementation challenges
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Crises of legitimacy

  • Andhra Pradesh microfinance crisis
  • Bateman criticism
  • A crisis of governance (Grameen)
  • Relevance in era of growing urbanisation & emerging middle-

class.

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Growth of Microfinance in Europe (Source: EIF

Working Paper 2016/35)

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European Microfinance (50 MFIs tracked) (source: EIF Working Paper 2016/37)

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Marginalisation of Community Finance in USA and UK

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Comparing New Entrants to Microfinance Providers

100 200 300 400 500 600 700 2011 2012 2013 2014

Value of funds disbursed by crowdfunding platforms & other providers (£mn)

P2B P2P Equity Reward CDFI Credit union

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2017 (Q2) 2016 (Q2) FDIC Insured 5787 6058 Credit Unions 5812 5906

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Shift in Cost Basis

100 200 300 400 500 600 700 800 Bank P2P

BP cost advantage P2P over banks (US)

Branch Collection/billing Origination Marketing Other

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1.35 1.22 1.23 1.55 2.1 2.46 2.52 2.82 2.65 1936 1946 1956 1966 1976 1986 1996 2006 2016

FDIC Insured banking offices per 10,000

FDIC Insured banking offices per 10,000

Bank Branches: A Strange Death?

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Innovators are seen as the good guys

  • Lead by powerful brands (Apple - ApplePay)
  • Not the banks and not responsible for the Crash
  • Serendipity of mobile phones & an undeveloped banking sector

in Asia & Africa.

  • Limited evidence of poor lending decisions
  • High cost payday lenders are seen as part of financial sector

and not tech sector.

  • Governments begin to look to tech companies to solve financial

inclusion problems. e.g. UK

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Regulation favours techs

  • No legacy systems so lower costs.
  • GAFA are highly capitalised so could

create popular banks on the back of their brands

  • Rising cost of regulatory compliance

favours those with automated systems that produce regular, consistent and reliable data.

  • APR caps favour those that can keep

costs down.

  • Restrictions on cash transactions

favours innovators.

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The dark side of Fintech

  • Longstanding concern about digital divide & financial literacy
  • Automating processes results in cost cutting and by

extension job losses. What microfinance investor wants that?

  • It could address IR costs, but requires more data from

vulnerable clients

  • Big data usage to create new credit scoring systems could

individualise the process, resulting in targeting clients must likely to repay.

  • Higher fees for those that are most vulnerable
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Implementation

  • Costly
  • Need expertise – complex field
  • Select delivery mechanism: white label, direct or gold label
  • Have to work in partnership
  • Investors are reluctant to fund the transition
  • No guarantee of success. Transition is high risk
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What does this mean for microfinance?

  • 1. Fintech is an existential crisis for microfinance.
  • 2. A collapse in distance changes notion of community &

mutuality

  • 3. Fintech offers huge potential cost savings over legacy systems
  • 4. Evidence from USA and UK suggest that new entrants offer a

service people want.

  • 5. Moral case for microfinance has been diluted by need for

sustainability.

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Conclusion

Four futures for microfinance:

  • 1. Chase sustainability & go up-market (incorporation)
  • 2. Gradual decline & growing irrelevance

(marginalisation)

  • 3. Focus on those most at risk & least access to internet

(residualisation)

  • 4. Greater collaboration around tech & processes, with

enhanced moral purpose to offset big data risks (reawakening)

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Thank You

For more information contact: k.t.dayson@salford.ac.uk