A thesis submitted to the Faculty of Commerce, Administration and Law, in fulfillment of the requirement for the Degree of Doctor of Philosophy in Economics at the University of Zululand, 2019. / The extent of the damage caused by the 2007/08 global financial crisis (GFC) has forced policymakers all over the world to respond promptly in order to mitigate its effect, a process in which they are still engaged in, particularly in advanced economies. The main objective of this study is to measure systemic risk in African emerging economies and develop a macroprudential regulatory framework to mitigate or limit the effect of such risk. More specifically, the study intends to1) Developing financial stress index (FSI) for the Emerging African economy; 2) Investigate the possibility of Early Warning Signal (EWS) helping in predicting and preventing or minimising the effects of the crisis on financial institutions; 3) Assess the resilience of individual banking companies to adverse macroeconomic and financial market conditions using stress testing technique; 4) Identify the source of fluctuation within the system; 5) Identify and measure systemic risk emanating from the capital flow (surge) as well as its effects on financial stability. This study contributed to the body of knowledge by measuring systemic risk in emerging African economies. To the best of my knowledge, there have not been any studies that have been conducted for the measure of systemic risk with the context of emerging African economies. The target economies include South Africa, Egypt, Nigeria, and Kenya.
The first objective of the study is to construct a financial stress index (FSI) for emerging African economies. The FSI which is aimed at revealing the functionality of the financial system a single aggregate indicator that is constructed to reflect the systemic nature of financial instability and as well to measure the vulnerability of the financial system to both internal and external shocks.
The result shows that both the domestic and international shocks created uncertainty in the economies under consideration. On the international scene, we have the financial crisis while on the domestic scene; we have slow growth, banking crisis, energy crisis, labour crisis, coupled with political uncertainty. The FSI is also useful and appropriate as the dependent variable in an early signal warning model, and as well be used to gauge the effectiveness of government measures to mitigate financial stress. The models forecasting performance was tested using the ordinary least square methods and it affirmed that the model is reliable and that the FSI can be used for prediction of a future crisis.
v
The aim of the second objective is to develop an early warning signal (EWS) model to predict the possibility of the occurrence of a financial crisis in emerging African countries. The multinomial logit model built by Bussiere and Fratzscher (2006) was adopted to afford policy makers ample time to prevent or mitigate potential financial crisis. In summary, the result suggests that emerging African economies are more likely to face financial crisis as debts continue to rise without a corresponding capacity to withstand capital flow reversal as well as excessive FX risk due to currency exposure. The result further indicates that rising debt exposure increases the probability or likelihood of the economies remaining in a state of crisis. This result confirms the significance of a financial stability framework that fits Africa’s emerging economies characteristics such as rising debt profile liquidity and currency risk exposure.
The third objective is to test the resilience of the financial sector using stress testing technique. Macro stress testing is a multi-step simulation process aimed at estimating the impact of credit risk shock on macroeconomic as well as financial sectors. In this study, a two-step approach was employed in this chapter. The first step involves analyzing the determinants of credit risk in 4 Emerging African economies during the period 2006m1 to 2012m12 using the panel Auto Regressive Distribution Lag (ARDL) model. Second, the vector autoregressive (VAR) models were employed to assess the resilience of the financial system as well as the economy to adverse credit risk shocks. The result shows that all the variables under both the macro and financial model jointly determine credit risk, although when examined on an individual basis only, UMP, IBR, and INF have a significant impact on NPL in the long run. For the macro stress testing, the VAR methodology was employed to stress test the emerging African economy financial sector and the result indicated that there a significant relationship between changes in output gap (GAP) and the nonperforming loans. A significant relationship was also established between inflation and nonperforming loans. In all, South Africa and Nigeria’s financial system seems more resilient to credit losses associated with this scenario without threatening financial stability compared to Kenya and Egypt.
The fourth objective examined the sources of capital flows surge and their impact on macroeconomic variables. This study employed a ��−�������� to investigate the source capital flow surge within the system. The main findings of the result indicate that capital flow, which is
vi
proxied by FDI, is influenced by a wide variety of macroeconomic variables such as inflation, export growth and unemployment. There is therefore need for the implementation of capital controls framework tame massive capital inflows. Nevertheless, such a mechanism should not undermine the impact of capital inflows on employment, growth and financial stability.
The fifth objective of the study is aimed at identifying and measuring the sources of systematic risk and its impact on the stability of the financial system using the Conditional Value-at-Risk methodology. The main finding of the study indicates that at the normal and extreme event the banking sector contributes positively and significantly to the real economy for all the countries except for Nigeria at the extreme event or 1 percent quantile. This study, therefore, concludes that the banking sector, stock market volatility contributes greatly to systemic risk in emerging African economies. The individual bank also contributes significantly to systemic risk for all the economies although the magnitudes are relatively different across economies. This finding is of great interest to policymakers since it shows that the banking sectors as well as stock market volatility have a negative impact on the real economy. This result is plausible as the banking and financial sector for most emerging economies constitute a greater proportion of the real economy. There is, therefore, need for a regulatory framework to reduce risk emanating from the banking sector as well as the financial markets.
In summary, due to huge capital flows and rising debt level in emerging African economies, there is, therefore, a need for a macroprudential policy that will fit African economies as well as the implementation of capital controls framework tame massive capital inflows. Efforts should be made to reduce the rising debts profile of most countries and that will require a greater level of commitment from their respective government and central banks. However, these should be in the interest of the growth and stability of the financial system and the real economy at large. In the case of the banking sector, since it has a great impact on triggering systemic risk, more effort should be utilized to continue to monitor its performance so that potential risk can be detected early and nip in the bud.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uzulu/oai:uzspace.unizulu.ac.za:10530/2000 |
| Date | January 2019 |
| Creators | Ilesanmi, Kehinde Damilola |
| Contributors | Tewari, D.D. |
| Publisher | University of Zululand |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
Page generated in 0.0036 seconds