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Masterarbeit, 2008, 90 Seiten
Autor: Diplom-Betriebswirt Jan-Hendrik Boerse
Fach: Wirtschaft - Bank, Börse, Versicherung
Details
Institution/Hochschule: Fachhochschule Wiesbaden
Tags: Foreign, Exchange, Disaster, Risk, Management, Microfinance, Institutions, International, Finance
Jahr: 2008
Seiten: 90
Note: 1,00
Literaturverzeichnis: ~ 69 Einträge
Sprache: Englisch
ISBN (E-Book): 978-3-640-22024-3
ISBN (Buch): 978-3-640-22258-2
Dateigröße: 1152 KB
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Zusammenfassung / Abstract
Microfinance Institutions (MFI) have left the role of altruistic instruments for donor-assistance and turned into profitable financial institutions and interesting investment opportunities for international financial investors. However, well-intentioned investments can dramatically increase a MFIs risk exposure and institutions without proper risk management can easily be forced into closure in the aftermath of environmental or economical distress. Moreover MFIs operate predominant in developing countries counting for 94% of all natural disasters worldwide and the vulnerability of their clients is exorbitant high due to their establishment in simple accommodation facilities and the strong dependence on agricultural business. Foreign exchange and disaster risks are considered to be two of the most jeopardising threats for MFIs characterised by close interrelations and ignored by the majority of institutions, investors and credit users. This work compiles a holistic risk management approach starting with the sound assessment of foreign exchange and disaster risks with the aid of modern tools such as hazard modelling and the value-at-risk model. Based on the institutions particular risk-bearing capacity different strategies to minimise and transfer these risks have been evaluated. More than twenty methods from operational hedges to innovative instruments like indexed weather derivatives or currency and catastrophe swaps are investigated concerning their availability, applicability, effectiveness and efficiency in the microfinance context. Furthermore this work seeks to design the strategies in a way that overcomes particular obstacles like the Samaritans dilemma to create sustainable security along with rising self responsibility. Consequently the employed instruments have been modified regarding their trigger concepts and payment schemes. As the implementation of many useful tools would be hampered due to the MFIs size, pooling alternatives between MFIs have been analysed as well as cooperation models with international companies or public private partnerships. In interviews with global experts from MunichRe, SwissRe and FMO specific issues have been discussed and the feasibility of the strategies could be affirmed. This work can provide useful guidance for risk managers, investors, donors and all persons that are directly or indirectly responsible for the sustainable development of one or several microfinance institutions.
Textauszug (computergeneriert)
Jan-Hendrik Boerse
Foreign Exchange and Disaster Risk
Management in Microfinance
Institutions
2008
"We should be managing risks instead of managing crises!"1
Dr. Aberra Deressa,
Minister for Agriculture and Rural Development of Ethiopia
1 Rojers, P.J. (2007) quoted after Dr. Aberra Deressa
TABLE OF CONTENT
TABLE OF CONTENT
TABLE OF FIGURES
TABLE OF ABBREVIATIONS
1
INTRODUCTION
- 1 -
1.1
ECONOMICS OF MICROFINANCE INSTITUTIONS
- 1 -
1.2
OVERVIEW ABOUT THE FOLLOWING CHAPTERS
- 4 -
2
RISK IDENTIFICATION AND ASSESSMENT
- 5 -
2.1
OVERALL RISK MAPPING IN MFIS
- 5 -
2.2
ANALYSIS OF DISASTER-RELATED RISKS
- 7 -
2.2.1 INTRODUCTION TO DISASTER RISKS
- 7 -
2.2.2 DISASTER-RELATED RISK MAP
- 9 -
2.2.3 ASSESSMENT OF DISASTER-RELATED RISKS
- 10 -
2.3
ANALYSIS OF FX-RELATED RISKS
- 13 -
2.3.1 INTRODUCTION TO FX RISK
- 13 -
2.3.2 FX-RELATED RISK MAP
- 14 -
2.3.3 ASSESSMENT OF THE RISKS IDENTIFIED
- 15 -
2.3.4 EXCHANGE RATE SYSTEMS AND DOLLARIZATION
- 17 -
2.4
MOST COMMON TREATMENT FOR FX AND DISASTER RISK
- 19 -
3
DISASTER RISK MANAGEMENT
- 21 -
3.1
INSTITUTIONAL DISASTER PREPAREDNESS
- 21 -
3.2
TRIGGER CONCEPTS AND PREREQUISITES FOR THE RISK TRANSFER
- 23 -
3.3
EVALUATION OF EXISTING FINANCIAL INSTRUMENTS
- 26 -
3.3.1 CATASTROPHE BONDS
- 26 -
3.3.2 WEATHER DERIVATIVES
- 27 -
3.3.3 CONTINGENT CAPITAL / CONTINGENT CREDIT
- 31 -
3.4
TACKLING DISASTER RISK ON HIGHER OR LOWER LEVELS
- 32 -
3.4.1 DISASTER-MICROINSURANCE
- 32 -
3.4.2 DISASTER LOAN FUNDS
- 35 -
3.4.3 PUBLIC-PRIVATE-PARTNERSHIPS
- 36 -
4
FOREIGN EXCHANGE RISK MANAGEMENT
- 40 -
4.1
SUSTAINABLE RISK ACCEPTANCE
- 40 -
4.2
RISK AVOIDANCE STRATEGIES
- 41 -
4.3
RISK MITIGATION STRATEGIES
- 43 -
4.3.1 CURRENT PRACTICES: OPERATIONAL HEDGES
- 43 -
4.3.2 EVALUATION OF FINANCIAL INSTRUMENTS
- 47 -
4.4
INNOVATIVE CONCEPTS
- 51 -
5
CONCLUSION
- 55 -
TABLE OF CONTENT
APPENDIX I
Value at Risk ZAR-USD 5-year analysis
APPENDIX II
Degrees of Dollarization (1996 2001)
APPENDIX III
Memo Trueb, J., August 19, 2007
APPENDIX IV
Overview about FX risk management strategies
APPENDIX V
Memo Zuidberg, J., September 19, 2007
BIBLIOGRAPHY
A) Non digital sources
B) Digital sources
TABLE OF INTERVIEWS
TABLE OF ABBREVIATIONS
TABLE OF FIGURES
Figure 1:
Average loan size / GNI per capita
Source:
Microfinance Information Exchange, Inc. (MIX), based on
the 2005 Benchmarking
Page:
2
Figure 2:
Breakdown of specialised MFIs
Source:
Meehan, J. (2004), p.3 (modified)
Page:
3
Figure 3:
MFI Risk Map
Source: self-provided
Page:
5
Figure 4:
Great Natural Catastrophes 1950-2003
Source:
http://www.ourworldfoundation.org.uk (05.08.2007)
Page:
7
Figure 5:
Indian Climatic Disaster Risk Map
Source: http://commons.wikimedia.org (05.08.2007)
Page:
9
Figure 6:
Hazard modeling (left) and Loss estimation (right)
Source:
N.p., World Bank (2006), pp.36-37
Page:
10
Figure 7:
Liquidity flow during a disaster
Source: self-provided
Page:
11
TABLE OF ABBREVIATIONS
Figure 8:
Liquidity needs distribution
Source:
N.p., World Bank (2006), p.37 (modified)
Page:
11
Figure 9:
Value at Risk of the South-African Rand
Source: self-provided
Data :
http://www.oanda.com/convert/fxhistory (03.08.2007)
Page:
14
Figure 10:
Payout calculation for multiple hazard events
Source:
N.p., World Bank (2006), p.42
Page:
27
Figure 11:
Application ranges
Source:
N.p., USAID-OAS (1999), Relationship of Return Period to
Annual Probability Distribution of Extreme Wind (modified)
Page:
34
Figure 12:
Layering instruments
Source:
Self-provided on the basis of:
N.p., World Bank (2006), p.37
Page:
35
Figure 13:
Cost of debt with diversified local currency funding
Source:
Zuidberg, J. (2007), p.6
Page:
48
Figure 14:
Overview about FX risk management strategies
Source:
self-provided
Page:
APPENDIX IV
TABLE OF ABBREVIATIONS
TABLE OF ABBREVIATIONS
ART
Alternative Risk Transfer
CAT Catastrophe
CBOT
Chicago Board of Trade
CCRIF
Caribbean Catastrophe Risk Insurance Facility
CGAP
Consultative Group to Assist the Poor
CME
Chicago Mercantile Exchange
Cp. Compare
DLF
Disaster Loan Fund
e.g. for
example
(lat.: exempli gratia)
ECA
Eastern Europe and Central Asia
et al.
and others
(lat.: et altera)
EUR Euro
FAQ
Frequently asked questions
FLDG
first-loss default guarantee
FMO
Nederlandse Financierings-Maatschappij voor
Ontwikkelingslanden N.V.
FX Foreign
exchange
GNI
Gross National Income
GOLF
Guaranteed Offshore Liquidity Facility
IFC
International Finance Corporation
ISDA
The International Swaps and Derivatives Association
L/C
Letter of Credit
LAC
Latin America and the Caribbean
LIBOR
London Interbank Offered Rate
MBP
Microenterprise Best Pracices
MENA
Middle East and North Africa
MFI Microfinance
Institution
MIGA
Multilateral Investment Guarantee Agency
Mil million
MIX Microfinance
Information Exchange, Inc.
TABLE OF ABBREVIATIONS
MXP Mexican
Peso
n.d. no
date
N.p. No
publisher
NDF Non-Deliverable
Forward
NGO Non-Governmental
Organisation
No. Number
OFDA
Office of U.S. Foreign Disaster Assistance
OTC Over-the-counter
p. page
PAR
Portfolio at Risk
pp. pages
PPP Public-private-partnership
SBLC
Standby letter of credit
SPV
Special Purpose Vehicle
TCIP
Turkish Catastrophe Insurance Pool
TCX
The Currency Exchange Fund
U.S. United
States
U.S.A. United
States of America
UNCDF
United Nations Capital Development Fund
USAID
U.S. Agency for International Development
USAID-OAS
U.S. Agency for International Development -
Organisation of American States
USD
US Dollar ($)
VAM
Vulnerability Analysis and Mapping
VAR Value-at-risk
WFP
World Food Programme
WWB
Women′s World Banking
yr year
ZAR South-African
Rand
Introduction
1 Introduction
1.1 Economics of Microfinance Institutions
Microfinance institutions (MFIs) have been largely regarded as
instruments of donor associations for the altruistic distribution of money
in developing countries. In fact MFIs are commercial lending institutions
to be found all over the world in developing and developed countries
likewise that have partly been co-financed by donors as their business
model supports some charitable goals like the reduction of poverty.
Since MFIs become more and more profitable and their portfolio sizes
as well as their numbers of borrowers are growing by up to more than
50% annually, MFIs increasingly seek for additional commercial funding
sources both locally and internationally.2 This increasingly enforces
their self-responsibility for economical sustainability including a
prudential treatment of existing and emerging risks.
The basic principle in credit risk management is that a loan has to be
secured by collateral. This initiates a vicious circle that has often been
interpreted as "the more you got the more you get" with the
consequence that people who got nothing at all will not get any start-up
capital to change this state. When Muhammad Yunus, the Nobel Peace
Prize laureate of 2006, founded the first microfinance institution in 1976
in Bangladesh, his idea was to overcome this basic rule in banking with
a leap of faith that initiated ongoing client relationships.
Today there are around 10,000 MFIs providing micro-loans to poor
people and small enterprises reaching repayment rates up to 100%.3
The global loan portfolio is estimated 7 billion US-Dollar (USD) in
outstanding loans, serving around 13 million clients, and generating
repayment rates of 97% in average. Since loans were formerly provided
to potential micro-entrepreneurs to set up small businesses, they
created assets broadening the demand for additional services. To date
2 Cp. Coppoolse, M. (2007), p.2
3 Cp. in the following N.p., UNCDF (2007)
- 1 -
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