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Adesina, Kolade Sunday
- Modelling Stock Market Return Volatility: Garch Evidence from Nigerian Stock Exchange
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Authors
Affiliations
1 Department of Banking and Finance, School of Management and Business Studies, Yaba College of Technology, Yaba, Lagos, NG
1 Department of Banking and Finance, School of Management and Business Studies, Yaba College of Technology, Yaba, Lagos, NG
Source
International Journal of Financial Management, Vol 3, No 3 (2013), Pagination: 37-46Abstract
This paper uses symmetric and asymmetric GARCH models to estimate the stock return volatility and the persistence of shocks to volatility of the Nigerian Stock Exchange (NSE). There is substantial evidence for the GARCH modelling through Lagrange Multiplier Test, Correlogram and Ljung-Box Statistics before the estimation of the GARCH models. The study uses 324 monthly data from January 1985 to December 2011 of the NSE all share-index. The result reveals high persistent volatility for the NSE return series. In addition, there is no asymmetric shock phenomenon (leverage effect) for the return series.Keywords
Stock Returns, Volatility, Arch Effects, GARCH Models
References
- Ahmed, E. M. A., & Suliman, Z.S. (2011). Modeling Stock Market Volatility Using GARCH Models Evidence From Sudan. International Journal of Business and Social Science, December, 2(23), 114-128.
- Alexander, C. (1999). Risk Management and Analysis: Measuring and Modelling Financial Risk. New York: John Wiley and Sons.
- Bollerslev, T. (1986). Generalised autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
- Bollerslev, T. & Wooldridge, J. M. (1992). Quasi maximum likelihood estimation and inference in dynamic models with time varying covariances. Econometric Reviews, 11, 143-179.
- Brooks, C. (2008). Introductory Econometrics for Finance (2nd Ed.). New York: Cambridge University Press.
- Chou, R. (1988). Volatility persistence and stock valuation: Some empirical evidence using GARCH. Journal of Applied Econometrics, 3(4), 279-294.
- Elsayeda, A.I. (2011). Asymmetric volatility, leverage effect and financial leverage: A stock market and firm-level analysis. Middle Eastern Finance and Economics, 165-186.
- Emenike, K. O. & Aleke, S. F. (2012). Modeling asymmetric volatility in the Nigerian stock exchange. European Journal of Business and Management, 4(12), 52-59.
- Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom Inflation. Econometrica, 50, 987-1007.
- Engle, R.F. & Bollerslev, T. (1986). Modelling the persistence of conditional variance. Econometric Reviews, 5(1), 1-50.
- Frimpong, J. M. & Oteng-Abayie, E. F. (2006). Modelling and forecasting volatility of returns on the Ghana stock exchange using GARCH models. American Journal of Applied Sciences, 3, 2042-4048.
- Glosten, L., Jaganathan, R. & Runkle, D. (1993). Relationship between the expected value and volatility of the nominal excess returns on stocks. Journal of Finance, 48(5), 1779-1802.
- Hojatallah, G. & Ramanarayanan, C. S. (2010). Modeling and estimation of volatility in the Indian stock market. International Journal of Business and Management, 5(2), 85-98.
- Merton, R. C. (1980). On estimating the expected return on the market: An exploratory investigation. Journal of Financial Economics, 8(4), 323-361.
- Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347-370.
- Njimanted, G. F. (2012). An investigation into the volatility and stock returns efficiency in African stock exchange markets. International Review of Business Research Papers, 8(5), 176-190.
- Olowe, R.A. (2009). Stock return, volatility and the global financial crisis in an emerging market: The Nigerian case. International Review of Business Research Papers, 5(4), 426-447.
- Roman, K. (2010). Financial Econometrics with Rviews. Roman Kozhan & Ventus Publishing ApS.
- Suliman, Z. S. (2012). Modelling exchange rate volatility using GARCH models: Empirical evidence from Arab countries. International Journal of Economics and Finance, March, 4(3), 216-229.
- Taylor, S. J. (1986). Forecasting the volatility of currency exchange rates. International Journal of Forecasting. 3, 159-170.
- Theodossiou, P. & Trigeorgis, L. (2003). Option Pricing When Log-Returns are Skewed and Leptokurtic. The Eleventh Annual Conference of the Multinational Finance Society, Istanbul.
- Zakoian, J. M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955.