Asymmetric Information and Volatility of Stock Returns in Nigeria
Abstract
This paper investigates the effect of asymmetric information on volatility of stock returns in Nigeria using the best-fit Asymmetric Power Autoregressive Conditional Heteroskedasticity, APARCH (1,1) model, under the Generalized Error Distribution (GED) at 1% significance level from 3 January 2000 to 29 November 2016. The descriptive statistical results showed that the returns were not normally and linearly distributed, with strong evidence of a heteroskedasticity effect. The results of the analysis also confirmed the effect of asymmetric information on the volatility of stock returns in the Nigerian stock market. The asymmetric parameter (γ) was negative at (-1.00), which is statistically significant at 1% level. This confirms that there is an asymmetric or leverage effect where bad news had a more destabilizing effect on the volatility of stock returns than good news. The total impact of bad news on volatility was explosive at 2.0, during the period under review. Also, the volatility persistence which is measured by the sum of ARCH(α) and GARCH(β) stood at 1.695950. This is above unity and suggests that volatility takes a long time to attenuate in Nigeria. This could be largely ascribed to the persistent effect of the 2008 global financial crisis, which probably eroded investors’ confidence in the market.
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References
Akerlof, G. A. (1970). The Market for Lemons: Quantitative Uncertainty and the Market Mechanism. The Quarterly Journal of Economics, 84(3), 488-500.
Alberg, D., Shalit, H. & Yosef, R. (2008). Estimating Stock Market Volatility using symmetric ARCH Models. Applied Financial Economics, 18, 1201-1208.
Atoi, N. V. (2014). Testing volatility in Nigeria stock market using GARCH models. Central Bank of Nigeria: Journal of Applied Statistics, 5(2), 65-93.
Ayadi, O. (1984). The Ramdom Walk Hypothesis and the Behaviour of Share Price in Nigeria. Nigerian Journal of Social Studies, 26(1), 14-27.
Bachelier, L. J. (1900). Théorie de la spéculation. Annales. Scientifiques de L’E’cole Normale Supe’rieurese’r, 3(17), 21-86.
Black, F. (1976). Studies in stock price volatility changes, Proceedings of the 1976 Business Meeting of the Business and Economic Statistics Section. American Statistical Association, 177-181.
Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroscedasticity, Journal of Econometrics, 31(3), 307-327.
Chen, N. F., Rott, R. & Ross S. A. (1986). Economic Forces and the Stock Market. The Journal of Business, 59(3), 383-403.
Clarke, J. & Shastri, K. (2000). On Information Asymmetry Metrics. Working Paper, Katz Graduate School of Business, University of Pittsburgh.
Ding, Z., Granger, C. W. J. & Engle, R. F. (1993). A Long-Memory Property of Stock Market Returns and a New Model. Journal of Empirical Finance, 1, 83-106.
Easley, D. & O’Hara, M. (2004). Information and the cost of Capital. The Journal of Finance, 59, 1553-1583. http://dx.doi.org/10.1111/j.1540-6261.2004.00672.x
Engle, R. F. (1982). Autoregressive Conditional Heteroskedascity with Estimates of the Variances of U.K. Inflation. Econometirica, 50(4), 987-1007.
Engle, R. F. & Ng, V. K. (1993). Measuring and Testing the Impact of News on Volatility, Journal of Finance, 48, 1749-78.
Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 2, 383-417.
Fama, E. F. & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of financial economics, 33(1), 3-56.
Fama, E. F. & French, K. R. (2015). A five factor asset pricing model, Journal of Financial Economics, 166(1), 1-22.
Gauss, C. F. (1821). Theoria combination is observationum erroribus minimis obnoxiae, Parts 1, 2 & supplement Werke, 4, 1-108.
Glosten, L. R., Jaganathan, R. & Runkle, D. (1993). On the relationship between the expected value and the volatility of the nominal excess return on stocks. Journal of Finance, 48(5), 1779-1801
Gul, F. A. & Qiu, H. (2002). Legal Protection, Corporate Governance and Information Asymmetry in Emerging Financial Markets. http:/www.ssrn.com
Kendall, M. (1953). The Analysis of Economic Time Series - Part 1: Prices. Journal of the Royal statistical Society, Series A, 116(1), 1-34.
Levi, S. & Zhang, X. J. (2008). Information Asymmetric and the Increase in Expected Stock Returns before Earnings Announcements. Working Paper
Lintner, J. (1965). The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets. The Review of Economics and Statistics, 47(1), 13-37.
Mandelbrot, B. (1963). The variation of certain speculative prices. Journal of Business, 36(4), 394 - 419.
Markowitz, H. (1952) Portfolio Selection. The Journal of Finance, 7(1), 77-91.
MSCI BARRA. (2013). MSCI Long-Short BARRA Factor Indexes. Retrieved from http://www.msci.com/.../MSCI_Barra_Factor_%20indices_Methodology_Nov.13.Pdf
Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347‒370.
Ross, S. A. (1976). The Arbitrage Theory of Capital Asset Pricing. Journal of Economic Theory, 13(3), 341-360.
Sharpe, W. F. (1964). Capital Asset Prices: A Theory of market Equilibrium under Conditions of Risk. Journal of Finance, 19(3), 425-442.
Stiglitz, J. & Walsh, C. (2002). Economics. New York, London. Norton
Stiglitz, J. E. (2003). Information and the Change in the Paradigm in Economics: Part 1. American Economist, 47(2), 6-21
Strong, R. A. (2004). Practical Investment Management, Thomson South-Western, Third Edition, University of Maine.
Verrechia, R. E. (2001). Essays on Disclosure. Journal of Accounting and Economics, 32, 97-80
Wallenius, L., Fedorova, E. & Collan, M. (2013). Surprise effect of European macroeconomic announcements on CIVETS stock markets", mimeo, School of Business, Lappeenranta University of Technology, Finland
Wang, Z., Kutan, A. M. & Yang, J. (2005). Information Flows within and across Sectors in Chinese Stock Markets. Quarterly Review of Economics and Finance, 45(5), 767-780. http://dx.doi.org/10.1016/j.qref.2003.08.001
Wold, H. O. (1939). A Study in the Analysis of Stationary Time Series. Journal of the Royal Statistical Society, 102(2), 295-298.
Zakoian, J. M. (1994). Threshold Heteroskedastic Models. Journal of Economic Dynamics and Control, 18(5), 931-955.
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