Modelling the Stochastic Behavior of the Pakistan Stock Exchange
PDF

Keywords

 Stochastic Behaviour, ARCH, GARCH, GARCH-M, TARCH, EGARCH, EGARCH-M, Pakistan Stock Exchange, Volatility.

How to Cite

Abida Hafeez. (2017). Modelling the Stochastic Behavior of the Pakistan Stock Exchange. Journal of Basic & Applied Sciences, 13, 207–212. https://doi.org/10.6000/1927-5129.2017.13.36

Abstract

This research study examines the stochastic behaviour of stock returns in the Pakistan stock exchange (PSX) using the KSE 100 index daily return data from 2011 to 2016. Methodology is based on ARCH family of models such as ARCH, GARCH, GARCH-M EGARCH, EGARCH-M and TARCH/GJR GARCH. These specifications have been used to model the stochastic behaviour of stock return in the Pakistan stock exchange. The most appropriate model is selected on the basis of SIC and AIC selection criteria. Diagnostic checking includes ARCH-LM test and Ljung-Box Q-Statistics. This research study concludes that EGARCH (1, 1) specification explains the stochastic behaviour of the Pakistan stock exchange better than other models undertaken. The results of the study have well-grounded policy implications for market regulators, policy makers and investors.

https://doi.org/10.6000/1927-5129.2017.13.36
PDF

References

Fischer KP, Palasvirta AP. High Road to Global Market Place: The International Transmission of Stock market Fluctuations. The Financial Review 1990; 25: 371-94. https://doi.org/10.1111/j.1540-6288.1990.tb00802.x

Von Furstenberg GM, Jeon BN. International stock Price Movements: Links and Messages, Brooking Papers on Economic Activity 1989; 1: 125-79. https://doi.org/10.2307/2534497

Tsay RS. Analysis of Financial time series, 2nd ed., John Willey and Sons, Inc 2005. https://doi.org/10.1002/0471746193

Engle RF. Autoregressive Conditional with Estimates of the Variance of the U.K. Inflation. Econometrica 1982; 50(3): 987-1008. https://doi.org/10.2307/1912773

Bollerslev T. Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics 1986; 31(1): 301-27. https://doi.org/10.1016/0304-4076(86)90063-1

Engle RF, Lilien DM, Robbins RP. Estimating the Time Varying Risk Premia in the Term Structure: The ARCH-M Model. Econometrica 1987; 55: 391-407. https://doi.org/10.2307/1913242

Nelson DB. Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica 1991; 59: 347-70. https://doi.org/10.2307/2938260

Glosten LR, Jagannathan R, Runkle DE. On the Relation Between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. Journal of Finance 1993; 48: 1779-1801. https://doi.org/10.1111/j.1540-6261.1993.tb05128.x

Nishat M. Institutional Development and Risk Premia in Pakistan, Unpublished Paper Ph.D. Dissertation, School of Business and Economics, University of Auckland, New Zealand 2000.

Mahmud M, Mirza N. Volatility Dynamics in an Emerging Economy: Case of Karachi Stock Exchange, Ekonomska Istraživanja 2011; 24(4): 51-64. https://doi.org/10.1080/1331677X.2011.11517480

Waqar O. Modelling Stock Market Volatility Using Univariate GARCH Models: Evidence from Pakistan, Conference Paper 2014. https://www.researchgate.net/publication/283486742

Taylor SJ. Forecasting the Volatility of Currency Exchange Rates. International Journal of Forecasting 1986; 3: 159-70. https://doi.org/10.1016/0169-2070(87)90085-9

Brooks Chris. Introductory Econometrics for Finance 1st ed. Cambridge University Press 2002.

Hafeez A. Short-term Return Predictability using a Parametric Stock Market Efficiency Test: Evidence from the Karachi Stock Exchange: Proceedings of the 12th International Conference on Statistical Sciences (ISOSS); 2014: March 24-26; Karachi, Pakistan. Dow University of Health Sciences 2014a; 26: 249-264.

Hafeez A. Institutional Development and Time Patterns in an Emerging Market of Pakistan: Conference Paper presented in 5th International Conference of Management Research (ICMR): 2014: November 20-21; Lahore, Pakistan: Superior University, Lahore 2014b.

Hafeez A, Nishat M. The Impact of Institutional Development on Short-term Return Predictability in an Emerging Market of Pakistan: Proceedings of the 12th International Conference on Statistical Sciences (ISOSS); 2014: March 24-26; Karachi, Pakistan. Dow University of Health Sciences 2014; 26: 237-248

Hansen RP, Lunde A. A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH (1, 1)? Journal of Applied Econometrics 2005; 20: 873-89. https://doi.org/10.1002/jae.800

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2017 Abida Hafeez