Dynamic Volatility in Stock Market Returns: An Evidence from Islamic Index and Kse100 Index of Pakistan
Keywords:
KMI30, ARCH, GARCH, EGARCH, TGARCH, and PARCHAbstract
This paper examines the time-varying volatility in the stock returns at Pakistan Stock Exchange (PSX). Time series data was used to gauge the volatility in the stock returns trough time series analysis techniques including the ADF, ARCH and GARCH family modeling for this purpose. The volatility concept is much familiar in the stock market analysis especially in the future decision making process by the investor. To further investigate this phenomenon, an Islamic index and KSE100 index at PSX were chosen with daily data ranging from June, 2009 to august 2020 with the total daily observations of 2772. The data was collected from investing.com. The ADF and Phillips-Perron (PP) unit root tests were performed to check the stationary of the series, where it was confirmed that the stock return of the KMI30 index as well as KSE100 index were no unit root at 1(0). The ARCH LM lest confirmed the ARCH effects in the KMI30 and kSE100 indices. The GARCH family modeling including GARCH (1,1), Mean GARCH (1,1), EGARCH (1,1), and TGARCH (1,1) were used. The results revealed that stock returns of the Islamic index (KMI30) and KSE100 index at Pakistan Stock Exchange (PSX) have the feature of volatility clustering. It is also gauged that stock returns of KMI30 index and kSE100 index are more volatile to bad news than good news. The study further explored that holders of such stocks can diversify their investment in some other related stocks to get arbitrage opportunity.
References
Tsay RS. Analysis of Financial Time Series. 3rd Edition, John Wiley & Sons, Hoboken; 2010.
Campbell JY, Lo AW, McKinley AC. The econometrics of financial markets. New York: Princeton University Press; 1997.
Engle RF. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom Inflation. Econometrica. 1982;50:987-1007.
Bollerslev T. Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics. 1986;31:307-327.
Nelson D. Conditional heteroscedasticity in asset returns: A New Approach. Econometrica. 1991; 59(2):347-370.
Glosten LR, Jagannathan R, Runkle DE. On the relation between the expected value and the volatility of the nominal excess return on stocks. The Journal of Finance. 1993;48(5):1779-1801.
Ding Z, Granger CW, Engle RF. A Long memory property of stock market returns and a new model. Journal of Empirical Finance. 1993;1:83-106.
Srinivasan P. Modelling and forecasting the stock market volatility of S&P 500 Index using GARCH models. The IUP Journal of Behavioral Finance. 2011;8(1):51-69.
Danielson, J. Stochastic Volatility in asset prices estimation with simulated maximum likelihood. Journal of Econometrics. 1994;64(1-2):375–400.
Guidi F. Volatility and long-term relations in equity markets: Empirical evidence from Germany, Switzerland and the U.K. The ICFAI Journal of Financial Economics. 2009;7(2):7-39.
Tse YK. Stock returns volatility in the tokyo stock exchange, Japan and the World Economy. Elsevier, 1991;3(3):285-298.
Gokcan S. Forecasting volatility of emerging stock markets: Linear Various Non-Linear GARCH Models. Journal of Forecasting. 2000;19(6):499-504.
Lim CM, Sek SK. Comparing the performances of GARCH-type models in capturing the stock market volatility in Malaysia. Procedia Economics and Finance. 2013;5:478–487.
Kannadhasan M, Thakur BPS, Aramvarathan S, Radhakrishnan A. Modelling volatility in emerging capital market: The case of indian capital market. Academy of Accounting and Financial Studies Journal. 2018;22(1):1-11.
Rashid et al.; AJPAS, 6(4): 12-23, 2020; Article no.AJPAS.5441623
Joshi P. Forecasting volatility of Bombay stock exchange. International Journal of Current Research and Academic Review. 2014;2(7):222-230.
Banumathy K, Azhagaiah R. Modelling stock market volatility: Evidence from India. Managing Global Transitions. 2012;13(1):27–42.
Goudarzi H, Ramanarayanan CS. Modeling asymmetric volatility in the indian stock market. International Journal of Business and Management. 2009;6(3):221-231.
Lin Z. Modelling and forecasting the stock market volatility of SSE composite index using GARCH models. Future Generation Computer Systems. 2018;79(P-3):960–972.
Husain F, Uppal J. Stock returns volatility in an emerging market: The Pakistani Experience. Pakistan Journal of Applied Economics. 1999;15(1&2):19–40.
Hameed A, Ashraf H, Siddiqui R. Stock market volatility and weak-form efficiency: Evidence from an Emerging Market. The Pakistan Development Review. 2006;45(4 II):1029- 1040.
Mahreen M, Nawazish M. Volatility dynamics in an emerging economy: Case of Karachi Stock Exchange. Economic Research Ekonomska Istraživanja; 2015.
Mahmud M, Mirza N. Volatility dynamics in an emerging economy: Case of Karachi stock exchange. Economic Research Ekonomska Istrazivanja. 2011;24(4):51-64.
Waqar O. Modelling stock market volatility using univariate GARCH Models: Evidence from Pakistan, Conference Paper; 2014.
Akhtar S, Khan NU. Modeling volatility on the Karachi stock exchange, Pakistan. Journal of Asia Business Studies. 2016;10(3):253-275.
Javid AY, Mubarik F. Modeling and evaluating forecasting of market index volatility: Evidence from Pakistani stock market. NUML International Journal of Business & Management. 2016;11(2):81-100.
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