Emenike, Kalu O. (2010): Modelling Stock Returns Volatility In Nigeria Using GARCH Models. Published in: Proceeding of International Conference on Management and Enterprice Development, Ebitimi Banigo Auditorium, University of Port Harcourt - Nigeria , Vol. 1, No. 4 (10. February 2010): pp. 5-11.
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There is quite an extensive literature documenting the behaviour of stock returns volatility in both developed and emerging stock markets, but such studies are scanty for the Nigerian Stock Exchange (NSE). Modelling volatility is an important element in pricing equity, risk management and portfolio management. For these reasons, this paper investigates the behaviour of stock return volatility of the Nigerian Stock Exchange returns using GARCH (1,1) and the GJR-GARCH(1,1) models assuming the Generalized Error Distribution (GED). Monthly All Share Indices of the NSE from January 1999, to December 2008, provided the empirical sample for investigating volatility persistence and asymmetric properties of the series. The results of GARCH (1,1) model indicate evidence of volatility clustering in the NSE return series. Also, the results of the GJR-GARCH (1,1) model show the existence of leverage effects in the series. Finally, the Generalized Error Distribution (GED) shape test reveals leptokurtic returns distribution. Overall results from this study provide evidence to show volatility persistence, fat-tail distribution, and leverage effects for the Nigeria stock returns data.
|Item Type:||MPRA Paper|
|Original Title:||Modelling Stock Returns Volatility In Nigeria Using GARCH Models|
|Keywords:||Modeling, Volatility, Stock Returns, GARCH Models, Nigerian Stock Exchange|
|Subjects:||C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection
C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes
G - Financial Economics > G1 - General Financial Markets > G10 - General
|Depositing User:||Emenike Kalu O.|
|Date Deposited:||08. Jul 2010 13:27|
|Last Modified:||12. Mar 2015 19:59|
Aggarwal, R.; Inclan, C. and Leal, R. (1999),”Volatility in Emerging Stock Markets,” Journal of Financial and Quantitative Analysis, 34(1): 33-55.
Bekaert, G. and Harvey, C. R. (1997), “Emerging Market Volatility,” Journal of Financial Economics, 43: 29-77.
Black, F. (1976), ”Studies of Stock Market Volatility Changes”, Proceedings of the American Statistical Association, Business and Economic Statistics Section, pp. 177–181.
Braun, P.A.; Nelson, D. B. and Sunier, A. M. (1995), “Good News, Bad News, Volatility, and Betas”, Journal of Finance, 1(5): 1575-1603.
Brook, C. and Burke, S.P. (2003),”Information Criteria for GARCH Model Selection: An Application to High Frequency Data”, European Journal of Finance, 9:6, 557- 580.
Bollerslev, T. (1986),”A Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 31, 307-327.
Campbell, J.Y. and Hentschel, L. (1992), “No News is Good News: An Asymmetric Model of Changing Volatility in Stock Returns,” Journal of Financial Economics, 31: 281-318.
diBartolomeo, D. (2007),”Fat Tails, Tale Tails and Puppy Dog Tail”, Annual Summer Seminar- Newport, RI, June 8.
Engle, R.F. (1982), “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of the United Kingdom Inflation”, Econometrica, 50,987-1008
Fama, E. (1965),”The Behavior of Stock Market Prices”, Journal of Business, 38 (1), 34–105.
Frimpong, J.M. and Oteng-Abayie, E.F. (2006),”Modelling and Forecasting Volatility of Returns on the Ghana Stock Exchange using GARCH Models”, Munich personal RePEc Archive, 593, 1-21.
Glosten, L., R. Jagannathan, and D. Runkle (1993),”On the Relation between Expected Return on Stocks”, Journal of Finance, 48, 1779–1801
Gujarati, D.N. (2003), Basic Econometrics (4th Ed), Delhi: McGraw Hill Inc.
Harvey, C.R. and Siddique, A. (1999),”Autoregressive Conditional Skewness”, Journal of Financial and Quantitative Analysis, 34 (4), 465-477.
Hsieh, D. (1989),”Modeling Heteroskedasticity in Daily Foreign Exchange Rates”, Journal of Business and Economic Statistics, 7, 307-317.
Hsieh, D. (1991),”Chaos and Nonlinear Dynamics: Application to Financial Markets”, Journal of Finance, 46, 1839-1877.
Jayasuriya, S. (2002),” Does Stock Market Liberalization Affect the Volatility of Stock Returns: Evidence from Emerging Market Economies”, Georgetown University Discussion Series, August.
Lai, T. (1991),”Portfolio Selection with Skewness: A Multi-Objective Approach”, Review of Quantitative Finance and Accounting, 1, (3), 293-306.
Mandelbrot, B. (1963),”The Variation of Certain Speculative Prices”, Journal of Business, 36 (4), 394-419.
Nelson, D. (1991),”Conditional Heteroscedasticity in Asset Returns: A New Approach”, Econometrica, 59 (2), 347-370.
Ogum, G.; Beer, F. and Nouyrigat, G. (2005),”Emerging Equity Market Volatility: An Empirical Investigation of Markets in Kenya and Nigeria”, Journal of African Business, 6, (1/2), 139-154.
Okpara, G.C. and Nwezeaku, N.C. (2009),”Idiosyncratic Risk and the Cross-Section of Expected Stock Returns: Evidence from Nigeria”, European Journal of Economics, Finance and Administrative Sciences, 17, 1-10.
Olowe, R.A. (2009),”Modelling Naira/Dollar Exchange Rate Volatility: Evidence from GARCH and Asymmetric Models”, International Review of Business Research Papers, 5 (3), 377-398.
Paul, R.K. (2006),”Autoregressive Conditional Heteroscedasticity (ARCH) Family of Models for describing Volatility”, University of Delhi Discussion Paper series.
Satchell, S. (2004),”The Anatomy of Portfolio Skewness and Kurtosis”, Trinity College Cambridge Working Paper.
Taylor, S. (1994),”Modeling Stochastic Volatility: A Review and Comparative Study”, Mathematical Finance, 4, 183–204.
Thoedosiou, P. (1998),”Financial Data and the Skewed Generalized-t Distribution”, Management Science, 44, 1650-1661.
--------------- (2001),”Skewed Generalized Error Distribution of Financial Assets and Option Pricing”, Working Paper, School of Business, Rutgers University, New Jersey.
Verhoeven, P. and McAleer, M. (2003),”Fat Tails and Asymmetry in Financial Volatility Models”, CIRJE-F-211 Discussion Paper, March.
Zakoian, J.M. (1994),” Threshold Heteroscedastic Models”, Journal of Economic Dynamics and Control, 18, 931–955.
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