Volatility Modelling of Global Financial Crises Effects on the Nigerian Banks
- 1 Department of and Engineering and Mathematics, Sheffield Hallam University, Sheffield, United Kingdom
- 2 Department of Statistics, University of Uyo, Uyo, Nigeria
- 3 Statistics Programme, College of Engineering, Agriculture and Science, Bowen University, Iwo, Osun State, Nigeria
Abstract
The most appropriate heteroskedastic models for predicting volatility of daily stocks prices of 10 major Nigerian banks are proposed. The banks are Access, United Bank for Africa (UBA), Guaranty Trust, Skye, Diamond, Fidelity, Sterling, Union, ETI and Zenith banks; and these are examined from 2004 to 2014. The models employed are Autoregressive Conditional Heteroscedastic ( ARCH(1)), Generalized Autoregressive Conditional Heteroscedastic (GARCH(1, 1)), Ex ponential Generalized Autoregressive Conditional Heteroscedastic (EGARCH(1, 1)) and Glosten, Jagananthan and Runkle -Generalized Autoregressive Con ditional Heteroscedastic (GJR-GARCH(1, 1)). The results show that all the bank returns are highly leptokurtic, significantly skewed and thus non-normal across the four periods except for Fidelity bank during financial crises; find ings similar to those of other global markets. Also noticed is the strong evidenc e f or the presence of heteroscedasticity, and that volatility persistence during crisis is higher than before the crisis across the 10 banks, with that of UBA tak ing the lead, about 11 times higher during the crisis. The same with persistence levels in volatility, which were relatively higher during financial crises across the ten banks compared to before the crises . Findings further indicate that Asymme tric GARCH models outperformed the symmetric GARCH models, especially during the financial crises and post the crises. Thus with these findings, one could generally conclude that Nigerian banks ’ returns are volatility persistent during and after the crises, and are characterized by leverage effects of negative and positive shocks during these periods .
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