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THE VOLATILITY OF SOMALIA’S UNREGULATED EXCHANGE RATES By MOHAMED IBRAHIM NOR Thesis submitted in fulfillment of the Requirements for the degree of Doctor of Philosophy May 2015

THE VOLATILITY OF SOMALIA’S UNREGULATEDeprints.usm.my/31901/1/MOHAMED_IBRAHIM_NOR.pdf · 2017-02-03 · To my parents, Habiba Hassan Mohamed and Ibrahim Nor Ali, for their prayers

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Page 1: THE VOLATILITY OF SOMALIA’S UNREGULATEDeprints.usm.my/31901/1/MOHAMED_IBRAHIM_NOR.pdf · 2017-02-03 · To my parents, Habiba Hassan Mohamed and Ibrahim Nor Ali, for their prayers

THE VOLATILITY OF SOMALIA’S UNREGULATED

EXCHANGE RATES

By

MOHAMED IBRAHIM NOR

Thesis submitted in fulfillment of the Requirements

for the degree of

Doctor of Philosophy

May 2015

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ii

ACKNOWLEDGEMENT

Alhamdulillah.All praises are due to Allah and peace and blessings be upon His

Prophet Muhammad (S.A.W). Thanks to Allah for giving me His blessing, because

without His mercifulness, I would never complete this thesis. My special gratitude

goes to my supervisor, Dr. Tajul Ariffin Masron, for his continuous moral and

material support, supervision, advice, motivation, patience in guiding me throughout

my PhD journey. Without his constant untiring support, I would not have been able

to complete this thesis. I consider myself to be very fortunate to be under his

supervision. May Allah bless and repay his kind and valuable cooperation.

To my parents, Habiba Hassan Mohamed and Ibrahim Nor Ali, for their

prayers (Duaa’s), encouragement and continuous support and sacrifices during my

PhD and throughout my life. Similarly, I am very grateful to the encouragement,

supplications, and moral support of my parents-in-law, Fatima Ali Mohamed and

Sheikh Osman Moalim Hussein during my PhD journey.

My sincere gratitude to my beloved wife, Farhia Osman Hussein, for her

unconditional love, moral and material support, encouragement, patience,

understanding, and constant sacrifices during my study period. Thank you my darling

for everything. I am also thankful to my children, Abdirahman, Abdirahim, and

Yusra for their support, patience and sacrifices during my study period.

My sincere thanks to the staff and administration of my sponsor, SIMAD

UNIVERSITY, who paid almost all of the expenses of my PhD study. I’ll never

forget the moral and material support I have received from the Rector of the

University, Ustaad Abdurahman M. Hussein during my study period. I am

indebted to all of you.

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iii

I would also like to take this opportunity to thank all of the staff and

administration of FAO-Somalia. Without its Food Security and Nutrition Analysis

Unit (FSNAU)), I could not get my data. I appreciate their support and contribution

to my people and my country. I am grateful to the sponsors and the staff, who

facilitated the collection of such huge and important dataset.

Similarly, I am thankful to School of Management (SOM) staff and

management, who have been supporting me technically and academically throughout

my PhD journey. Without their continuous support, I would not have been able to

complete this thesis.

Equally, I am indebted to Dr. Sharif Yusuf, my friend, whose support,

academic advice and experience sharing were necessary for my study.

Last but not the least; I would like to express my appreciation to all of my

friends and PhD colleagues, who have always been there to offer me moral support

and academic advice. I’ll never forget the help and memories that we have shared

together. I hope that our friendship will last forever.

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TABLE OF CONTENTS

PAGE

ACKNOWLEDGEMENT ii

TABLE OF CONTENTS iv

LIST OF TABLES viii

LIST OF FIGURES x

LIST OF ABBREVIATIONS xi

ABSTRAK xiii

ABSTRACT xiv

CHAPTER ONE INTRODUCTION Error! Bookmark not defined.

1.1 Background of the Study 1

1.2 The Issue 5

1.2.1 Exchange Rate Volatility 14

1.2.2 Volatility of SOS/USD and Internal Factors 16

1.2.3 Volatility of SOS/USD and External Factor 22

1.3 Statement of the Problem 25

1.4 Research Questions 30

1.5 Objectives of the Study 30

1.6 Scope of the Study 30

1.7 Significance of the Study 31

1.8 Definition of Key Terms 33

1.9 Organization of the Chapters 34

CHAPTER TWO THE MONETARY SYSTEM OF SOMALIA

2.1 Introduction 35

2.2 Somalia Exchange Rate Management 35

2.3 The Monetary Mechanism of Somalia 40

2.4 Exchange Rate Stability in Somalia 42

2.5 Economic Implications of Somali Exchange Rate Management 52

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CHAPTER THREE THEORETICAL ISSUES AND LITERATURE SURVEY

3.1 Introduction 62

3.2 The Evolution of International Monetary Systems 62

3.3 Exchange Rate Regimes 65

3.4 Theories of Exchange Rates 71

3.4.1 Efficient Market Hypothesis Theory 71

3.4.2 Keynes-Minsky Financial Market Theory 75

3.4.3 PPP, Random Walk and Monetary Exchange Rate Theories 79

3.4.4 Exchange Rate Volatility: Conditional Heteroskedastic Models (CHM) 85

3.5 Volatility of Exchange Rates: Empirical Review 88

3.5.1 Causes of Exchange Rate Volatility 90

3.5.1.1 Exchange Rates and Government Intervention 91

3.5.1.2 Exchange Rates and Speculation 92

3.5.1.3 Exchange Rates and Stock Prices 93

3.5.1.4 Exchange Rates and Commodity Prices 94

3.6 Possible Causes for Exchange Rate Volatility in the Context of Somalia 96

CHAPTER FOUR METHODOLOGY

4.1 Introduction 101

4.2 Model Specification 101

4.2.1 Theoretical Foundations 101

4.2.2 Empirical Works 104

4.2.3 Modelling Stage 107

4.2.3.2 GARCH Model 108

4.2.3.3 EGARCH Model 109

4.2.3.4 TARCH Model 110

4.3 Estimation Procedure 113

4.3.1 Tests of the Unit Roots Hypothesis 113

4.3.1.1 Augmented Dickey-Fuller (ADF) Test Statistics (1996) 114

4.3.1.2 Phillips-Perron (PP) Test Statistics (1996) 114

4.3.2 EGARCH 115

4.3.2.1 Model Evaluation: 117

4.3.2.2 Decision of the Model: 117

4.3.2.3 Model Selection: 118

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4.4 Measurement Concerns 119

4.5 Data 121

4.6 Study Framework 122

CHAPTER FIVE ANALYSIS OF EMIPIRICAL RESULTS

5.1 Introduction 125

5.2 Preliminary Analysis 125

5.2.1 Descriptive Analysis 126

5.2.2 Tests of Unit Root Hypothesis 128

5.3 Analysis of Data 131

5.3.1 The volatility of Somalia’s unregulated exchange rates: The Role of the

internal factors of the economy 131

5.3.1.1 GARCH Model 132

5.3.1.1.1 Results of Heteroskedasticity Test 132

5.3.1.1.2 Results of GARCH Model: Variance Equation 134

5.3.1.1.3 Results of GARCH Model: Internal Factors of the Economy 137

5.3.1.2 EGARCH Model 143

5.3.1.2.1 Results of EGARCH Model: Variance Equation 143

5.3.1.2.2 Results of EGARCH Model: The Role of Internal Factors of the

Economy 144

5.3.1.3 TARCH Model 146

5.3.1.3.1 Results of TARCH Model: Variance Equation 146

5.3.1.3.2 Results of TARCH Model: Internal Factors of the Economy 147

5.3.2 The contribution of the external factors of the economy to the volatility of

Somalia’s unregulated foreign exchange 149

5.3.2.1 GARCH Model 150

5.3.2.1.1 Results of GARCH Model: External Factor of the Economy 150

5.3.2.2 EGARCH Model 152

5.3.2.2.1 Results of EGARCH Model: External Factors of the Economy 152

5.3.2.3 TARCH Model 154

5.3.2.3.1 Results of TARCH Model: External Factors of the Economy 154

5.3.3 Full Model: Combination of Internal and ExternalFactors of the Economy

156

5.3.3.1 Results of GARCH Model 156

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5.3.3.2 Results of EGARCH Model 157

5.3.3.3 Results of TARCH Model 159

5.3.4 Model Selection 161

5.3.4.1 EGARCH Model: Volatility of Somali exchange rates 162

5.3.5 Summary: General Findings 165

CHAPTER SIX DISCUSSION AND CONCLUSION

6.1 Introduction 168

6.2 Recapitulation of the study 168

6.3 Summary of the Results 170

6.4 Discussion of Major Findings 171

6.4.1 The Volatility of Somali Exchange Rates: The Role of Internal Factors of the

Economy (Objective One) 171

6.4.1.1 Exchange Rate Volatility and Money Supply 172

6.4.1.2 Exchange Rate Volatility and Imports 173

6.4.1.3 Exchange Rate Volatility and Speculation 174

6.4.2 The Volatility of Somali Exchange Rates: The Role of External Factors of the

Economy (Objective Two) 176

6.4.2.1 Exchange Rate Volatility and Oil Price 177

6.4.2.2 Exchange Rate Volatility and Global Stock Prices 178

6.5 Contribution of the Study 179

6.5.1 Theoretical Contribution 180

6.5.2 Practical Contribution 183

6.6 Policy Suggestions: 186

6.7 Limitations 191

6.8 Recommendation for Future Research 192

6.9 Conclusion 193

REFERENCES 194

APPENDICES 210

Appendix A 210

Appendix B 211

Appendix C 244

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LIST OF TABLES

PAGE

Table 1.1 Definitions of Research Terms 33

Table 3.1 Forms of EMH 72

Table 3.2 Summary of Internal and External factors of the Economy 100

Table 4.1 Measurement of the Variables (1) 120

Table 4.2 Measurement of the Variables (2) 120

Table 4.3 Data and Sources (Internal Factors) 122

Table 4.4 Data and Sources (External Factors) 122

Table 5.1 Descriptive Statistics of Somali Shilling and the Internal Factors of the

Economy 127

Table 5.2 Descriptive Statistics of Somali Shilling and the External Factors of the

Economy 128

Table 5.3 Stationary Tests At Level (Internal Factors) 129

Table 5.4 Stationary Tests At First Differences (Internal Factors) 129

Table 5.5 Stationary Tests At Level (External Factors) 129

Table 5.6 Stationary Tests At First Differences (External Factors) 131

Table 5.7 Correlation Coefficients for the Internal Factors of Somali Economy 132

Table 5.8 ARCH Test for the unregulated exchange rates of Somalia 128

Table 5.9 Akaike Information Criterion of GARCH (up to order 5) 128

Table 5.10 Output of GARCH(1,3) Model Estimation 136

Table 5.11 Comparison of Two GARCH models with different variable organization 128

Table 5.12 GC&RT Model 128

Table 5.13 Schwarz Information Criterion (SIC) of GARCH (up to order 5) 128

Table 5.14 Output of GARCH (1,1) Model Estimation: The Role of Internal Factors

of the Economy 128

Table 5.15 AIC of EGARCH (up to order 3) 128

Table 5.16 Output of EGARCH (1,2) Model Estimation 128

Table 5.17 AIC of EGARCH (up to order 3) 128

Table 5.18 Output of EGARCH (1,2) Model Estimation 128

Table 5.19 Schwarz Information Criterion (SIC) of GARCH (up to order 5) 128

Table 5.20 Output of TARCH (1,1) Model Estimation 128

Table 5.21 Schwarz Information Criterion (SIC) of GARCH (up to order 5) 128

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Table 5.22 Output of TARCH (1,1) Model Estimation 128

Table 5.23 Correlation Coefficients for the External Factors of Somali Economy 128

Table5.24 GC&RT Model 128

Table 5.25 Schwarz Information Criterion (SIC) of GARCH (up to order 5) 128

Table 5.26 Output of GARCH (1,1) Model Estimation 128

Table 5.27 AIC and SIC of GARCH (up to order 5) 128

Table 5.28 Output of EGARCH (1,5) Model Estimation 128

Table 5.29 AIC and SIC of GARCH (up to order 5) 128

Table 5.30 Output (1,1) Model of TARCH Estimation 128

Table 5.31 AIC and SIC of GARCH (up to order 5) 128

Table 5.32 Output of GARCH (1,3) Model Estimation 128

Table 5.33 AIC and SIC of GARCH (up to order 5) 128

Table 5.34 Output of EGARCH (1,1) Model Estimation 128

Table 5.35 Schwarz Information Criterion (SIC) of GARCH (up to order 5) 128

Table 5.36 Output of TARCH (2,1) Model Estimation 128

Table 5.37 Model Comparison 128

Table 5.38 EGARCH Models 128

Table 5.39 EGARCH (1,2): Internal Factors of the Economy 128

Table 5.40 EGARCH (1,5): External Factors of the Economy 128

Table 5.41 EGARCH (1,1): The Full Model 128

Table 6.1 Summary of the Results 128

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LIST OF FIGURES

PAGE

Figure 1.1 Exchange Rate of Somalia 8

Figure 1.2 International Trade (1957-1970) 9

Figure 1.3 Somali GDP (1961-1989) 9

Figure 1.4 Official Rate Vs Black Market Rate (1975-1987) 11

Figure 1.5 Money Supply 18

Figure 1.6 Exchange Rates and Consumer Prices 19

Figure 1.7 Somali Imports (1960-2012) 21

Figure 1.8 Somali Exports (1960-2012) 21

Figure 1.9 Somali Domestic Price Changes (1995-2012) 22

Figure 4.1 Internal Factors of the Economy 123

Figure 4.2 External Factors of the Economy 123

Figure 4.3 Conceptual Framework 124

Figure 5.1 Residuals of Somalia’s unregulated exchange rates 134

Figure 5.2 GC&RT Tree Layout 139

Figure 5.3 Data belonging to Node One (1) 139

Figure 5.4 Variable Importance 140

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LIST OF ABBREVIATIONS

M Import

X Export

MS Money Supply

HM Hot Money (Speculation)

DM Domestic Prices

RSP Regional Stock Prices

OP Oil Prices

GSP Global Stock Prices

GP Gold Prices

WFP World Food Prices

FAO Food and Agriculture Organization

SOS Somali Shilling

USD United States Dollar

VOL Volatility

KSH Kenya Shilling

DJF Djibouti Frank

TSH Tanzanian Shilling

EB Ethiopian Birr

SAR Saudi Arabian Riyal

OR Oman Riyal

UAED United Arab Emirates Dirham

EGP Egyptian Pound

IR Indian Rupee

CY Chinese Yuan

JP Japanese Yen

UKP United Kingdom Pound

GARCH Generalized Autoregressive Conditional Heteroskedasticity

ARCH Autoregressive Conditional Heteroskedasticity

EGARCH Exponential Generalized Autoregressive Conditional

Heteroskedasticity

TARCH Threshold Generalized Autoregressive Conditional

Heteroskedasticity

ARMA Autoregressive Moving Average

AR Autoregressive

MA Moving Average

CHM conditional heteroskedasticity models

ADF Augmented Dickey-Fuller

PP Phillips-Perron

OLS Ordinary least squares

VAR Vector Autoregression

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VECM Vector Error Correction Model

MASD moving average standard deviation

NSE Nairobi Stock Exchange

NYSE New York Stock Exchange

BIS Bank for International Settlements

FSNAU Food Security and Nutrition Analysis Unit

IMF International Monetary Fund

CV Coefficient of Variation

SIC Schwarz Information Criterion

DF Dickey-Fuller GLS Test Statistics (1996)

ERS Elliott-Rothenberg-Stock Point-Optimal (1996)

NP Ng-Perron (2001)

KPSS Kwiatkowski-Phillips-Schmidt-Shin (1992)

FX Foreign Exchange

AIC Akaike information criterion

MENA Middle East and North Africa

ECT Error Correction Term

GC& RT General Classification & Regression Trees

AC Autocorrelation

PAC Partial Autocorrelation

APC Absolute Percentage Change

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KEMERUAPAN KADAR PERTUKARAN ASING TANPA

KAWALSELIA DI SOMALIA

ABSTRAK

Sistem kewangan dan mata wang negara (Shiling Somalia) dahulunya stabil dan

kukuh.Walau bagaimanapun, Shilling Somalia mula merudum selepas 1980-an, dan

akhirnya tersungur ke tahap yang teruk.Kerajaan pusat negara Somalia runtuh pada

tahun 1990 selepas tiga dekad menikmati kestabilan ekonomi dan sosial. Berikutan

kegagalan itu, mata wang tersebut terus didagangkan tanpa kawalan kerajaan.

Pasaran tukaran mata wang asing tempatan pula beroperasi tanpa seliaan mana-mana

pihak.Walaupun rakyat Somalia berurus niaga mata wang dalam pasaran tersebut, ia

dikritik kerana tidak memiliki asas pasaran tukaran dagangan. Semasa tempoh

kemunduran ini, nilai Shiling mengalami fenomena ketidakaturan yang tidak boleh

dijangka, lebih-lebih lagi pada tahun 1997, 2001, 2008, dan 2011. Objektif am kajian

ini adalah untuk mengkaji ketidaktentuan mata wang Somalia yang tidak terkawal

dan sumbangan faktor dalaman dan luaran ekonomi kepada ketidaktentuan ini. Selain

itu, model GARCH juga digunakan untuk menyiasat dan menganggar ketidaktentuan

pada kadar tukaran mata wang dalam Somalia.Kajian ini mendapati bahawa kadar

tukaran mata wang Somalia mempunyai pertalian dengan kadar tukaran mata wang

serantau dan antarabangsa. Dapatan kajian juga menunjukkan kadar tukaran mata

wang Somalia yang tidak terkawal adalah sangat tidak tentu dan konsisten. Namun,

ketidaktentuan tersebut tidak keterlaluan dan kembali kepada nilai purata mengikut

masa.Hasil kajian ini mendapati bahawa perlunya reformasi padadasar kadar tukaran

negara, serta perlunya wujud satu mata wang kebangsaan untuk memacu

pembangunan pascaperang negara Somalia.

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THE VOLATILITY OF SOMALIA’S UNREGULATED EXCHANGE RATES

ABSTRACT

Historically, the monetary system of Somalia was stable and its national currency

(Somali Shilling) had very strong value but Somali shilling started to depreciate after

1980s and its value reached to a very low level. Somalia’s central government

collapsed in 1990 following three decades of stability. Following the collapse of the

government, the national currency continued to circulate without sovereign support

and the country’s FX market has been operating without regulation. Though Somali

people have been using this FX market, the market is criticized of not having the

basic foundations of an FX market. During this period, the value of the Shilling

experienced unpredictable volatility in particular in 1997, 2001, 2008, and 2011. The

aim of this study is to examine the volatility of Somalia’s unregulated exchange rates

and whether internal and external factors of the economy can influence this volatility.

This study utilized GARCH model to model the volatility of Somalia’s unregulated

exchange rates. The study found that the volatility of Somalia's unregulated exchange

rates is influenced by its own shocks and the internal and external factors of the

economy. On the other hand, the study found that the volatility of Somalia’s

unregulated exchange rates are highly persistent, indicating the existence of volatility

clustering in the series. However, the volatility is not explosive and reverts to its

mean over time. Therefore, the behavior of Somalia’s unregulated FX market implies

the existence of informal monetary mechanisms that was created naturally during the

absence of regulatory authority in Somalia. Nevertheless, the existence of highly

persistent exchange rate volatility in the context of Somalia challenges the

assumption that Somali national currency gained positive value without sovereign

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support. This study argues that though Somali shilling circulated without regulatory

authority during the absence of effective government in Somalia, this circulation is

not accompanied by healthy and stable bilateral exchange rates. These results suggest

the need for re-building the federal central bank of Somalia and establishing central

bank offices (braches) in each state. In addition, the new federal government should

introduce a new national currency that can support Somalia's postwar re-building.

Introducing a new currency is difficult and goes through a complex process but it can

be completed if the commitment of top government officials is received.

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CHAPTER ONE

INTRODUCTION

1.1 Background of the Study

Though historians are in different opinion about the origin of Somali ethnic, it is well

known that inhabitants of this area have been in touch with Arabian Peninsula

(Mukhtar, 1987). According to Mukhtar (1987), Somalis and Arabs have common

ancestors, geographical location, physical features, nomadic heritage and above all a

common religion. The ancient Egyptians described Somalia as the Land of Punt,

which means "God's Land" ( Jacquetta Hawkes, 1965) and Arab people used to name

it as Berberi (Mohamed A. Mohamed, 2009). Historically, Somali society was

basically nomadic and was politically organized around lineage and customary

institutions rather than state institutions (Lindley, 2005). Somalis have been

dependent on livestock for subsistence and luxuries; thus, the Camel1 has been

playing a curial role in their lifestyle wherein it is used as a symbol of wealth and

medium of exchange in social transactions such as compensation and dowry

(Rinehart, Whitaker, Tartter, & Ehrenreich, 1982).

As common for nomadic societies, constant movement across Somalia’s

borders with neighboring countries has been a familiar feature for centuries and

searching graze for livestock, trade or work has been the purpose of the movements

(Lindley, 2005). Somalis speak their own language but study Arabic Language

(particularly writing and reading skills) in early childhood and since the acceptance

1a large animal that lives in the desert and has one or two humps

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of Islamic religion, Somalis have been recording their dealings in the Arabic

language until its use was abolished by the Military regime in 1969 (Mukhtar, 1987).

In 1800s, different colonial power have concurred different parts of Somalia;

Italy colonized the South; British the North; and France controlled the Territory

currently known as Djibouti (Rinehart et al., 1982). After more than 50 years of

independence fighting, Western powers have finally given the independence to some

territories of Somalia. In 1960, Somali state has been officially formed by joint effort

of Italy Somaliland and British Somaliland (Rinehart et al., 1982).

Before the colony, people were dependent on agriculture and livestock and in

coastal areas, fishery and trade sectors were existed but they were not active

economic sectors compared to agriculture and livestock which were the basic source

of life for most of inhabitants (JNA, 2006).

After the independency, the economy was very marginal and the state was

struggling to find resources to run the fundamental government operations and basic

public services (Samatar, 2008). In the first five years of its establishment, the state

budget was mostly dependent on subsidiaries given by Western allies mostly Italy

and British. After nine years of civil administration, Somalia became a military state

in 1969 following SiadBarre’s bloodless military coup (Leeson, 2007a). The new

government asked the public to cooperate with the government while promising to

fight against corruption and to upgrade the economic status of the nation.

In the first 10 years of his administration, Mr. Barre created an economy that

was significantly growing in the areas of livestock exports and agriculture. The

livestock export was enhanced following the simultaneous development of oil

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resources in Saudi Arabia coupled with the increase of number of livestock-

sacrificing pilgrim during Hajj season in 1960s (Samatar, 2008). Small scale

industries were established, plantations (e.g. banana) increased, livestock exports

grew and public service provision improved. As a result, the economic and

development fundamentals of the country enhanced compared to that of preceding

civil government.

Following the collapse of Somali state, some economic improvements have

been observed after private education institutions were slightly established and small

businesses started to emerge but with very slow growth. It has been observed that

increased small business operations have actually created opportunities of social

integration that was a key to restore normal life in the country. By 2000 many small

businesses have had operations in Somalia with operation basis in Djibouti, Nairobi

and Dubai and the service industry such as finance, transport and information

technology has been emphasized (Cassanelli, 2010). On the other hand, the export-

import oriented business and construction industries involving Somalia’s

neighboring countries have been created (Cassanelli, 2010).

In 2000, the Transitional National Government (TNG) was established in

Djibouti with a three year term. During this period, the private sector (small and

medium sized enterprises) flourished while providing almost all of the basic public

services (Nenova, 2004). Services ranging from electric supply to water; from

telephone to internet; and from money transfer to deposit services have been

provided and the country become one of the best countries in Africa in the areas of

mobile and internet services. In 2007 a survey covering 41 African countries has

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been conducted while using various economic and development indicators, Somalia

ranked 16th

in mobile phone users and 11th

in internet users (Cassanelli, 2010).

In 2004, a Transitional Federal Government (TFG) took over the power.

During this period, the private sector boom that started in 2000 has continued to

grow (Maimbo, 2006). In addition to the domestic private sector boom, an active

cross-border trade, mainly in livestock sector, has been established by the Somali

traders and this facilitated Somali entrepreneurs to introduce their businesses into

some East African countries such as Kenya, Uganda, and Tanzania (Little, 2007). In

2009, new administration took over the Transitional Federal Government (TFG).

During this period, the private sector has shown a new sign of flourishing, especially

in 2011, as the institutions of the government became more functional. In this period,

Somalia’s Central Bank was officially re-opened and started its normal duties (Abdi,

2010).

Following the visit of the Turkish Prime Minister to Somalia, the economic

prospects of Somalia changed as foreign investors (mainly from Muslim countries)

and Somali Diaspora mounted to the country looking for investment opportunities.

While responding to the massive humanitarian needs, Turkish government and its

profit and non-profit organizations have started emergency aid distribution in

Somalia in 2011. Besides, Turkish government has decided to make huge

investments in Somalia after having received a friendly invitation from Somali

government. A high profile delegate from Turkish corporate and industry have

visited Somalia to assess the potential investment opportunities in Somalia. Though

Turkish potential interest in Somalia is very diverse, Turkish Airways and some

construction companies have already started their operations in Somalia. Turkey is

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5

considered as the newest country to intervene in Somalia and the courageous visit of

Turkish Prime Minister to Mogadishu in August 2011 has produced some positive

results and it has given fresh impetus to efforts of establishing lasting peace in

Somalia (ICG, October 8, 2012).

Somalia is a potential economy as it possesses strategic location and natural

resources. Currently, Somalia owns one of the largest coastlines in Africa with about

3,000 km, longer than any other African country; so, fishing can be a major source of

livelihood (Aljazeera, 2012). Livestock is counted the most crucial sector for Somali

economy as it makes up about 40% of the country’s GDP and an estimated 65% of

its exports (CIA, 2006). Somalia is also good in agriculture production (with arable

land of 1,100,000 hectares) and its major products include bananas, rice, maize,

sorghum and semsem. Natural resources such as uranium, iron ore, tin, gypsum,

bauxite, copper, salt, natural gas and likely oil are the largely unexploited reserves

available in Somalia (CIA, 2012).

1.2 The Issue

Economically, financial markets are important because it’s the place where funds are

transferred from the surplus unit to the deficit unit (Mishkin, 2004b). Amongst the

financial markets, the foreign exchange market (FX) is essential for investors as it

facilitates funds to be transferred from a country to another or from a currency to

another (Mishkin, 2004b). The behavior of an exchange rate is substantial for the

citizens of every country since the fluctuations in the prices of currencies have a

direct effect on the prices of basic commodities. It has been argued that people can

only achieve their FX needs productively when financial markets are stable, so, there

must be an effective financial system that supports the FX markets. According to

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6

Robert Mundell, the 1999 Nobel Prize winner for Economics, the exchange rate is

the single factor that could lead to the collapse of a country (Chwialkowska, July 25,

1998). Similarly, Abdurahman (2005) states that an exchange rate is a barometer that

measures the performance of an economy because good economies are judged on the

basis of the strength of their currencies. The collapse of the Bretton Woods exchange

rate system had caused bilateral exchange rates to significantly fluctuate in both real

and nominal terms (Chit, Rizov, & Willenbockel, 2010; Flood & Rose, 1999;

Frömmel & Menkhoff, 2003).

The volatility of the exchange rate between currencies has been increasing as

a result of a major changes taking place within the global economy. While the cause

of the bilateral exchange rate volatility differs between developing and developed

countries, these changes are, in most cases, occurring due to a direct result of fiscal

and/or monetary policy undertaken by national governments of each economy

(Devereux & Lane, 2003a).

Though the issue of exchange rate has been given special attention globally

due to its detrimental effects on the economy, it also remains a hot issue in the

emerging economies (Chit et al., 2010; Prasad, Rogoff, Wei, & Kose, 2003). Due to

the multiple and recurrent currency crises that took place in the last two decades,

exchange rates of the emerging economies have been investigated thoroughly.

Following the currency crashes of Russia (1998), East Asia (1997), Mexico (1994-

1995), Ecuador (1999), Argentina (2001-2002), Turkey (2000-2001) and Brazil

(1998-1999), a number of policy makers and economists regarded volatile capital

flows as the underlying source of currency instability in the emerging markets (Glick

& Hutchison, 2005; Radelet & Sachs, 1999; Sachs & Radelet, 1998; Stiglitz, 2000).

On the other hand, the choice of exchange rate regime is also argued to have some

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7

contributions to the instability of the emerging market economies (Calvo & Mishkin,

2003).

To find out a common policy prescription for such crises, many studies have

examined the volatility of exchange rates in the context of the emerging economies

(e.g. Chit et al., 2010; Devereux & Lane, 2003a; Edison & Reinhart, 2001; Edwards,

2007; Glick & Hutchison, 2005; Gregorio, Edwards, & Valdes, 2000). According to

Devereux and Lane (2003b), in spite of the huge effort put in investigating exchange

rate volatility, the findings of the Meese and Rogoff (1983) remain intact. The results

of Meese and Rogoff (1983) reveal that movements in exchange rates are principally

unpredictable. A number of factors have been found from the empirical studies,

which contributes to the volatility of the bilateral exchange rates in the context of the

emerging economies (e.g. trade interdependence, degree of commonality in

economic shocks, country size, financial linkage, balance of payment effect, external

debt, capital flows)2.

In the context of emerging markets, macroeconomic policies are difficult to be

designed typically as advanced economies do because emerging market economies are very

different from the advanced economies (Calvo, 2001; Husain, Mody, & Rogoff, 2005;

Mishkin, 2004a). So, when designing a macroeconomic policy, emerging economies

consider their social, political and economic circumstances. For example, Chinese exchange

rate policies are different from that of Japan. While China and some of East Asian nations

achieved an export-led growth through exchange rate stability, Japan accomplished the same

goal (export-led growth) by using different exchange rate policy. Chinese currency has been

stable, as Japanese yen has been very volatile. However, the two countries have achieved

their export-led economic growth. According to Haddad and Pancaro (2010), real exchange

rate undervaluation can help countries achieve export-led growth but not for long term and it

2 See for example Chit et al., (2010), Devereux & Lane, (2003b) and Glick & Hutchison, (2005)

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8

works only for low-income countries. In addition, Haddad and Pancaro (2010) concluded

that though such exchange rate policy has been key to success of East Asia’s export-led

growth model, the current debate over the value of China’s currency is an evident on the

kind of controversy such policies can generate. Such kind of policies can enhance domestic

competitiveness but it is difficult to sustain economically and politically in the long run

(Haddad & Pancaro, 2010).

In the context of Somalia, the civil administration of 1960s achieved to relatively

stabilize the foreign exchange market during that decade (1960-1970) as shown in Figure

1.1. The value of the shilling remained stable until 1982 in which the value of Somali

shilling depreciated against U.S. dollar.

Source: IFS-IMF

Figure 1.1 Exchange Rate of Somalia

Accordingly, this relative stability encouraged Somali traders to enthusiastically export

livestock and banana to Saudi Arabia and Italy respectively as shown in Figure 1.2. This

relative currency stability did not only encourage the creation of a competitive international

trade but also secured for the local people to maintain their purchasing power.

0

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ange

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e (

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USD

)

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-

0.20

0.40

0.60

0.80

1.00

1.20

196119631965196719691971197319751977197919811983198519871989

Bill

ion

USD

Source: IFS-IMF

Figure 1.2 International Trade (1957-1970)

During the military administration, the country established an economy that was

significantly growing in the areas of livestock exports and agriculture. Following the

simultaneous development of oil resources in Saudi Arabia in 1960s, Somalia became one of

the biggest countries exporting livestock to Saudi Arabia (Samatar, 2008). As a result, the

economic prospect of the country enhanced as the GDP of the country was growing steadily

as shown in Figure 1.3.

Source: World Bank

Figure 1.3 Somali GDP (1961-1989)

0

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Imports

Exports

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10

In this period, Somalia’s foreign exchange market was probably one of the

most stable exchange markets as the value of the shilling against US dollar remained

approximately 7 shillings for about 10 years.

Nonetheless, these good days did not last longer and Somalia’s economy, that

was once growing, started declining due to number of reasons including poor policy

making and resource mismanagement. The military regime’s nationalization policy

had negatively affected the economic prospect of the country as all import trade

including foodstuffs, petroleum products, medicine, pharmaceutical, construction

materials and clothes was controlled by twelve monopoly government agencies that

were involved in foreign trade (Abdurahman, 2005). As these agencies suffered from

poor distribution policies, weak inventory systems, lack of experience in foreign

trade and business mismanagement, prices of imports went up and the balance of

payment shifted from a surplus of SOS124 million in 1972 to deficits of SOS45

million and SOS66 million in 1973 and 1974 respectively (Abdirahman, 2007;

Abdurahman, 2005).

As a result, the currency market started collapsing and the resultant inflation

overvalued the Somali shilling, which pushed the emergence of a thriving parallel

market that encouraged many traders to smuggle Somali banknotes to overseas. As

illustrated in Figure 1.5, the gap between the official and black market rates has been

growing in the late 80s, which shows how sever the currency crisis was.

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0.0005.000

10.00015.00020.00025.00030.00035.00040.00045.00050.00055.00060.00065.00070.00075.00080.00085.00090.00095.000

100.000105.000110.000115.000120.000125.000130.000135.000140.000145.000150.000155.000160.000165.000

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75

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85

Exch

ange

Rat

es

(SO

S/U

SD)

Black Market Rate

Official Rate

Source: Abdurahman (2005)

Note: this figure shows the difference between the official exchange rate and the black market rate

and how the gap between the two rates was widening in the 80s as shown in the figure. Before 1981,

there were no black market, thus, people used the official rate formally or informally. However, after

1981, a thriving black market started, where people can get a high exchange rate. As a result, the use

of black market for seeking exchange rate services became common in Somalia until the government

collapsed in 1991.

Figure 1.4 Official Rate Vs Black Market Rate (1975-1987)

While the government introduced trade restrictions and punishments to limit the

operations of the parallel currency market, it could not stop the operations of the

parallel market (Abdurahman, 2005). Unexpectedly, the military regime went into a

situation of deep economic crisis after implementing IMF’s Structural Adjustment

Policy (Ihonvbere, 1994). As a result, the shilling has radically lost its value against

foreign currencies including U.S. dollar (the exchange rate dropped down from

SOS7/$1 to SOS4500/$1) (IMF, 1992).

Consequently, the economy of the country continued declining until the

government collapsed in 1991 leaving the country in a state of chaos and civil war.

Since that time, Somalia remained undeveloped and almost 40% of its population

live less than one dollar a day (UNDP, 2002). Whilst Somalia has remained

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12

undeveloped and its people have been suffering from poverty and poor economic

conditions, yet, Somalia could possibly be developed and the economic conditions of

Somali people may perhaps be improved very fast if Somalis rely on themselves and

build their own country without being dependent on international aid assistance. One

way to achieve such development (in a short time period) could be to encourage

international trade and investment by opening the economy and liberalizing its

markets in a manner that accommodates foreign traders and investors effectively and

efficiently. One of the essential factors that may attract international trade and

investment is to have stable FX market, where traders and investors can have access

to stable exchange rate services. In order for the government to maintain the stability

of the FX market, they should thoroughly understand changes and fluctuations taking

place in the market. The purpose of this study is to enhance understanding of

Somalia’s unregulated exchange rates and the empirical factors explaining its

volatility.

After years of hardship and suffering due to lack of regulated markets that

provide basic financial services such as exchange rate, money transfer and saving,

the only choice left for Somali people (to meet their financial service needs) was to

build and develop their own financial system, which provides them sustainable

financial services. This was behind the evolution of Somalia’s current unregulated

FX market. The term “Unregulated market”, which means black market or parallel

market, has been used in the literature. While examining the economy of Taiwan and

its foreign exchange market, Wade (1990) described the Taiwan black exchange rate

as unregulated market exchange rate. In addition, Wade (1990) argued that though

the difference between the official exchange rate and the unregulated exchange rate

is a convenient, it is an imperfect indicator of exchange rate distortion because the

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13

unregulated exchange rate is sensitive to couple of things including amount of

policing, penalties and etc.

Unlike Somalia’s regulated FX market that was properly regulated and

effectively supervised by Somali central government3 before state collapse in 1991,

the current unregulated FX market experienced some exceptional fluctuations. Since

there is no regulated FX market, Somali4 people started using unregulated FX market

for their FX needs after the state collapse in 1991.

Following to the fall down of the Somali central government, the country’s

central bank stopped functioning and as a result the national currency (Somali

Shilling) was being issued by nongovernmental authorities such as warlords and

businessmen (Luther & White, 2011a). While Somali traders export local products,

mainlylivestock5, to East Africa and Arab states, the economy is characterized of

being small and open in which most of the necessities are imported (Abdurahman,

2005).

As Somalia’s monetary authority is yet to fully oversee the operations of FX

market and there is no other effective regulatory body that monitors the operations of

the FX market, researchers have raised several relevant questions.These questions

include; (1) is the market integrated with the regional and international FX markets?

(2) What are the factors affecting Somalia’s FX market? (3) How is the market

vulnerable to external shocks? Answering these and other relevant questions will

have important implications to the practitioners as well as policy makers.

3 The value of the domestic currency was fairly stable and the exchange rate swings were immediately

handled 4 Somalia is considered as an emerging or developing economy in accordance with IOHA2012

(http://www.ioha2012.net/?page_id=1945) 5 Livestock is an essential sector of the Somali economy and it constitutes an estimated 40% of

Somalia’s GDP and 65% of its exports (CIA, 2006; Leeson, 2007b)

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14

1.2.1 Exchange Rate Volatility

Volatility is defined, in finance, as a measure for variation of price of a financial

asset over a period of time. Historic volatility and implied volatility are the common

types of volatility. Historic volatility is calculated on the basis of time series of past

market prices, whereas implied volatility is based on market price of a market traded

derivative. Since volatility is a measure of variation, it’s commonly used as tool of

risk assessment. As volatility is a measure of variation, it can occur in any security

that rises or falls in value and it can be affected by market microstructure (Roll,

1984). Currencies are one of the mostly traded financial assets in the financial

markets and since currencies appreciate or depreciate in value, its volatility is a

major concern among traders and investors of each country. Exchange rate volatility

can be defined as the tendency of a currency to rise (appreciate) or fall (depreciate) in

value and this has not only immediate effect on the profitability of the currency

traders but also foreign traders and investors. As exchange rate volatility is difficult

to avoid in some circumstances, there are some tools to manage their volatility

including futures, which can help mitigate the effects of price change.

As mentioned by Chit et al. (2010), there is no universal consensus among the

researchers on what are the appropriate proxies used to measure volatility of

exchange rates. As volatility is a latent variable, the following three different

measures are used repeatedly when measuring volatility of exchange rates: The first

measure is the standard deviation of the first difference of the long real exchange

rate, which can be expressed as follows6:

1/)( 2

1

meeVOL ijt

m

t

ijtijt

6 See Dell’ Ariccia (1999) and Chit et al. (2010)

(1.1)

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15

whereVOLijtrepresents the volatility of Somali Shilling (j) in terms of US dollar (i),

and ijte is the first difference of the log periodic exchange rate, and m is the number

periods in a year.

The second measurement used for volatility of exchange rates is the moving

average standard deviation (MASD) of the periodic log bilateral real exchange rate,

which follows this equation7:

m

k

kijtkijtijt meeVOL1

2

21

whereeijt is the log bilateral exchange rate, and m is the order of moving average.

The third volatility measure is based on GARCH model, which allows

capturing volatility clustering. This measure follows the following model:

12

2

110 ititit hh

Where ith is the conditional variance (volatility), 0 is the mean, 2

1it is one-period

lag of the squared residual from the exchange rate equation, which represents news

about the volatility from the previous period (ARCH term), and 1ith is the last

period’s forecast error variance (the GARCH term)8.

This study measured the volatility of Somalia’s unregulated exchange rates

employing GARCH and two of its family members. This model enables to measure

volatility in a systematic way and its limitations can be solved by employing some of

its extended models.

Although there are many issues that need to be addressed in the context of

Somalia’s unregulated FX market, the scope of this study is limited to internal and

7 See Klaasen (2004) and Chit et al. (2010)

8 Sauer and Bohara (2004), Clark et al. (2004) and Chit et al. (2010)

(1.2)

(1.3)

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external factors that can contribute to the volatility of the Somalia’s unregulated

exchange rates. Thought various internal factors might need to be taken into

consideration when discussing the internal factors that can affect the volatility of

Somalia’s unregulated exchange rates, money supply, speculation, trade and

domestic prices are considered as key internal factors that have direct or indirect

effect on the volatility of the exchange rates in Somalia. On the other hand, the

volatility of SOS/USD might be caused by external factors such as oil price, gold

price, world food price, regional stock price and global stock price. As Somalia is a

trade based economy9, the volatility of regional and global stock and commodity

markets may have an effect on the volatility of Somalia’s exchange rates since

shocks in these markets might be transmitted directly or indirectly to Somalia’s FX

market through different channels. It has been argued that due to the globalization

effect, financial markets are integrated, thus, shocks and events are transmitted from

a market to another (Schmukler & Vesperoni, 2006).

1.2.2 Volatility of SOS/USD and Internal Factors

Thought various factors might need to be taken into consideration when discussing

the internal factors that can affect the volatility of Somalia’s unregulated foreign

exchange market, money supply, behavior of speculators, trade and domestic prices

might be considered as potential internal factors that have direct or indirect effect on

the volatility of the exchange rates in Somalia.

Following to the fall down of the Somali central government, the country’s

central bank stopped functioning and as a result the national currency (Somali

Shilling) was being issued by nongovernmental authorities such as warlords and

9 According to Leeson (2007), Somalia accounted for more than 60% of all livestock exports in East

Africa in 1990s

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17

businessmen (Luther & White, 2011a). While Somali traders export local products,

mainly livestock10

, to East Africa and Arab states, the economy is characterized of

being small and open in which most of the necessities are imported (Abdurahman,

2005). There are several issues that need to be addressed here as these issues may

contribute to the volatility of the Somalia’s unregulated foreign exchange market.

Firstly, issuing a currency without regulatory authority may possibly lead into

a state of total currency collapse as it can be observed from Figure 1.7, where the

supply of money unevenly increased as businessmen utilized the absence of

government authority and printed more money without considering the money

supply needs of the country. If such events occur, the market remains un-equilibrium

and the volatility of the exchange rates affects the real sector (goods and service)

leading into huge business losses and unbearable inflation (W. J. Luther, 2012).

Historically, the late Mohamed SiadBarre’s government started printing more money

in 1980s to cool down the national economic crisis of that time. However, the policy

had resulted undesirable outcome as the currency market went into deep crisis and

the national currency lost its value against foreign currencies (Abdurahman, 2005).

The issuance of Somali banknotes was not stopped following the collapse of Central

Bank as faction leaders and businessmen competed over printing Somali banknotes.

General Aideed and businessmen close to him issued the largest amount of

banknotes supplied to the economy in 1990s by using Canadian banknote printing

companies (Mubarak, 1997).

In 2001, businessmen associated with the Transitional National Government

led by former president, Abdikasim Salad, imported billions of Somali banknotes to

the economy (Abdurahman, 2005). As a result of such polluted monetary policy, the

10

Livestock is an essential sector of the Somali economy and it constitutes an estimated 40% of

Somalia’s GDP and 65% of its exports (CIA, 2006; Leeson, 2007b)

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18

money supply of the country is expected to be very volatile11

as shown in Figure 1.7

particularly after the collapse of the central government. Though there are little

accurate statistics during this period due to the absence of national monetary

authority, it’s evident from the available data that the increase of money has an effect

on exchange rate movement (Abdurahman, 2005). From Somalia’s total stock of

money, it can be observed that the trend of money supply is very ugly, which

indicates poor policy making and monetary side miscalculations.

Source: IFS-IMF and Abdurahman (2005)

Note: The figure shows the 1st difference of Somali money supply (M2) since 1962. Since the data are

in difference, values are zero when there is no change and they are either above or below the zero line

when there is change. If the money supply of 1990 became zero, this means the amount of money

supply went down in 1990 compared to 1989.

Figure 1.5 Money Supply

Secondly, as Somalia’s foreign exchange market has been functioning without

monetary authority that regulates, supervises and protects the national market (W. J.

Luther, 2012), the possibility of establishing speculators whose interest is to make

huge profits by excessively decreasing or increasing the value of the local currency

11

For further details, please refer to chapter 2.

-150

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in accordance with their plan is most likely. Nevertheless, uncontrolled currency

speculation can lead into currency crisis and short-term or long-term speculation

bubbles (Abdurahman, 2005). This currency crisis may sometimes be in the form of

basic commodity price bubbles as it has been observed in 2008 and 2011 in which

exchange rate fluctuation is accompanied by commodity price fluctuations. See

Figure 1.8.

Source: FSNAU

Note: both exchange rate and consumer prices are in 1st difference, thus, indicating the changes of the

series over the time. The data indicates the existence of high fluctuations in 2008 and 2012 in both

series.

Figure 1.6 Exchange Rates and Consumer Prices

Moreover, speculative attacks erode the value of the government’s foreign reserve

until the government becomes unable to defend its exchange rate; then, the currency

will automatically start depreciating. In the case of Somalia where there is no

effective monetary authority and the government’s foreign reserve is very weak,

speculative attacks can easily penetrate the foreign exchange market. To capture the

behavior of speculators, hot money is used. Hot money is described as the flow of

funds from a country to another to earn a shorter profit on either interest rate

differences or anticipated exchange rate shifts and these capital inflows are called

“hot money” because they move very quickly in and out of markets (Martin &

-6000

-4000

-2000

0

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4000

6000

96 98 00 02 04 06 08 10 12

SOS/USD

-1200000

-800000

-400000

0

400000

800000

1200000

96 98 00 02 04 06 08 10 12

Consumer Prices

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Morrison, 2008). These speculative capital inflows potentially lead to market

instability (Martin & Morrison, 2008).

Thirdly,the stability of Somalia’s foreign currency exchange market is vital

for the economy of Somalia as the economy of the country is mainly dependent on

trade (export and import). According to Abdurahman (2005), a small and open

economy such as Somalia, in which most of the necessities are imported, a

depreciating currency increases the prices of basic commodities and consequently

erodes the purchasing power of the people. Although USD has been used as a

medium of trade exchange for large transactions in the past 20 years, livestock and

agriculture markets are not affected by this behavior and traders in these markets

have remained using Somali shilling as the basis of their transactions. Furthermore,

these two sectors of the economy are considered as the main suppliers of both Somali

shilling and US dollars in the domestic foreign exchange market since traders need to

convert their US dollar (from export proceeds) to Somali shilling before they go to

the livestock or agriculture markets.

On the other hand, as the main necessities are imported and consumers use

local currency for the purchase of their daily necessities, importers need to convert

their SOS into USD to import from overseas. Livestock, agriculture and consumer

markets can be important contributors to the volatility of SOS/USD. Though the link

between Somalia’s FX and trade is observable, very little is known whether trade

(import and export) have some effect on the volatility of FX market. As shown in

Figure 1.9 and 1.10, Somali imports and exports have been volatile especially in

1980s, 1990s and after 2005.

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Source: IMF - Direction of Trade Statistics

Note: The figure illustrates the 1st difference of Somali imports since 1960. As shown in the

figure, the imports to Somalia have fluctuated over the time. There were huge changes in 80s,

90s and after 2005.

Figure 1.7 Somali Imports (1960-2012)

Source: IMF - Direction of Trade Statistics

Note: the data, which are in 1st difference, show that Somali exports have fluctuated

historically and there were huge fluctuations in 80s, 90s and after 2010.

Figure 1.8 Somali Exports (1960-2012)

Fifthly, as Somalia is a small and open economy, which is dependent mainly on

imports, consumer prices are considered one of the essential economic indicators of

the country. Consumer prices may possibly provide important implications for urban

consumers. Figure 1.11 illustrates Somali domestic prices become volatile after

-12

-8

-4

0

4

8

12

60 65 70 75 80 85 90 95 00 05 10

Somali Exports (1960-2012)

-80

-60

-40

-20

0

20

40

60

80

60 65 70 75 80 85 90 95 00 05 10

Somali Imports (1960-2012)

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2000. As Somali domestic prices fluctuate over time, they may contribute to the

volatility of the exchange rates directly or indirectly.

Source: FSNAU

Note: the figure depicts local prices changes since 1996. As illustrated in the figure, the

country is suffering from huge prices changes since 2008.

Figure 1.9 Somali Domestic Price Changes (1995-2012)

1.2.3 Volatility of SOS/USD and External Factor

The volatility of SOS/USD may probably be caused by external factors including

stock, and commodity markets. As Somalia is a trade based economy12

, the volatility

of oil price, gold price, world food price, regional stock and global stock markets

may possibly have an effect on the volatility of Somalia’s exchange rates since

shocks in these markets might be transmitted directly or indirectly to Somalia’s FX

market through different channels. It has been argued that due to the globalization

effect, financial markets are integrated, thus, shocks and events are transmitted from

a market to another (Schmukler & Vesperoni, 2006).

Many empirical studies have been conducted examining whether there is

correlation between exchange rate and stock markets. While using Markov-

12

According to Leeson (2007), Somalia accounted for more than 60% of all livestock exports in East

Africa in 1990s

-800,000

-600,000

-400,000

-200,000

0

200,000

400,000

600,000

800,000

1,000,000

1996 1998 2000 2002 2004 2006 2008 2010 2012

Domestic Prices (1995-2012)

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Switching EGARCH model, Walid, Chaker, Masood, and Fry (2011) provide

evidence that the relationship between stock and foreign exchange markets is regime

dependent. This concludes that volatility in the stock market reacts asymmetrically to

events in the foreign exchange market. Similarly, Wua, Lub, Jonoc, and Perezd

(2012) found that there is stable long-term relationship between USD exchange rate

and the stock market in the context of Philippine’s stock market.

Equally, commodity markets such as oil and gold have direct link to foreign

exchange markets. Oil is considered one of the vital commodities for the global

economy and its price dynamics has influence on all economic activities as it affects

both real and financial sectors. Aloui, Aïssa, and Nguyen (2013), found the existence

of a significant and symmetric dependence between oil prices and exchange rates.

While using monthly panel of the G7 countries, Chen and Chen (2007) proved that

exchange rates are cointegrated with real oil prices. Similarly, both theoretical and

empirical studies on the relationship between gold and exchange rates indicate the

existence of linkage between these markets. However, the degree and direction of

linkages are different across currencies (Sjaastad, 2008; Sjaastad & Scacciavillani,

1996). In their study, for example, Pukthuanthong and Roll (2011) found the

existence of negative relationship between gold and the US Dollar. While using the

FAO cereal price index, Shortland (2011) found that international rise in food prices

that took place in 2008 had some effects on the depreciation of the Somali shilling

(SOS). It can be established from these studies the existence of relationship between

exchange rates and commodity prices such as oil, gold and food.

As Somalia is part of the global economy and its economy is based on trade,

it is FX market might be directly or indirectly affected by the shocks in the regional

and international markets. Reports from IMF staff notes indicate how Sub-Saharan

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African economies are being hit by the recent global financial crisis. The report

suggest that these countries can overcome the effect of this crisis through effective

fiscal policy formulation (Berg et al., 2009). Similarly, OECD’s 2010 report on the

impact of global financial crisis on fragile states illustrate that these states are

suffering from the cumulative effect of three consecutive and inter-related shocks

(food price crisis, escalating oil prices and the global financial crisis).

This indicates that fragile economies are more integrated into the world

economy than previously thought (OECD, 2010). Apart from the effect of these

crisis on development assistance, remittance, trade, and foreign direct investment,

these states experienced depreciation in the value of their currencies caused by

exchange rate movements (OECD, 2010). As Somalia is part of Sub-Saharan Africa,

it may possibly not be safe from the effect of the global financial crisis and as it is

stated in the report, Sub-Saharan African states are more integrated into the world

economy than previously thought. Hence, volatilities in global equity and commodity

markets are more likely to be transmitted into Somali economy, which is possibly

contributing to the volatility of SOS/USD.

Alternatively, Somalia’s exchange rates are possibly affected by volatilities

of the regional and international foreign exchange markets due to several reasons.

Firstly, Somali economy is mainly dependent on imports; thus, exchange rate

movements in international FX markets most likely affect the domestic markets

including the FX market. Secondly, Somalia’s FX market is likely to be affected by

the regional and international FX markets as Somali currency traders directly or

indirectly linked to currency traders in other countries. Thirdly, as there is no central

bank that regulates and supervises the FX market, the only benchmark left for the

players of the domestic FX market to value the domestic currency is to use the