Information Transmission Among Equity Markets: A Comparison Between ARDL and GARCH Model

Ghouse, Ghulam and Khan, Saud Ahmed and Habeeb, Kashif (2019): Information Transmission Among Equity Markets: A Comparison Between ARDL and GARCH Model.

Abstract

This study compares the performance of autoregressive conditional heteroscedastic (ARCH) model and autoregressive distributed lag (ARDL) model in term of relationship detection. The daily, weekly, and monthly data are used from 2005 to 2019 to explore the dynamic linkages among KSE 100, S&P 500, Nasdaq 100, Dowjones 30, and DFMG indices. The results indicate that the ARDL and ARCH model have same power to detect the relationship among financial series. The results show that due high volatility in daily and weekly data the ARDL model is failed to capture ARCH effect. In case of monthly data, the performance of ARDL model is as good as GARCH model. It concluded that on monthly basis or less frequency data the ARDL model can be used as an alternative method to GARCH model for financial time series modeling.

• Item Type: MPRA Paper
• Language: English
• Keywords: Volatility, Spillover effect, GARCH, ARDL
• Subjects: G - Financial Economics > G1 - General Financial Markets > G10 - General; G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets; G - Financial Economics > G3 - Corporate Finance and Governance; G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill

References

Amadeo, K. (2019). 2008 Financial Crisis, The Causes and Costs of the Worst Crisis Since the Great Depression. The Balance, 3305679. Viewed at: https://www.thebalance.com/2008-financial-crisis-3305679.

Asteriou, D., & Hall, S. G. (2015). Applied Econometrics. Macmillan International Higher Education.

Attari, M. I. J., & Safdar, L. (2013). The Relationship Between Macroeconomic Volatility and The Stock Market Volatility: Empirical Evidence from Pakistan. Pakistan Journal of Commerce and Social Sciences, Vol. 7(2), 309–320.

Ali, R., & Afzal, M. (2012). Impact of Global Financial Crisis on Stock Markets: Evidence from Pakistan and India. Journal of Business Management and Economics, Vol. 3(7), 275–282.

Amjad, R., & Din, M. (2010). Economic and Social Impact of Global Financial Crisis: Implications for Macroeconomic and Development Policies in South Asia. PIDE Monograph Series, 1.

Angkinand, A. P., Barth, J. R., & Kim, H. (2009). Spillover Effects from The U.S. Financial Crisis: Some Time-Series Evidence from National Stock Returns. Edward Elgar Publishing, 1–36.

Buch, C. M. (2004). Globalization of financial markets: causes of incomplete integration and consequences for economic policy. Springer Science & Business Media, Vol. 328.

Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31, 307–327.

Chelley-Steeley, P.L. (2005). “Modeling Equity Market Integration Using Smooth Transition Analysis: A Study of Eastern European Stock Markets”, Journal of International Money and Finance, Vol. 24, No. 5, pp. 818-831.

Charemza, W. W., & Deadman, D. F. (1997). New Directions in Econometric Practice. Book.

Draz, M. U. (2011). Impact of Financial Crisis on Pakistan and China: A Comparative Study of Six Decades. Journal of Global Business and Economics, 3(1), 174–186.

Davidson, J. E., Hendry, D. F., Srba, F., & Yeo, S. (1978). Econometric Modelling of The Aggregate Time-Series Relationship Between Consumers' Expenditure and Income in The United Kingdom. The Economic Journal, 661-692.

Engle, R. F., Ito, T., & Lin, W. -L. (1990). Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in The Foreign Exchange Market. Econometrica, 58(3), 525–542.

Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of The Variance of United Kingdom Inflation. Econometrica, 50(4), 987–1007.

Ghouse, G., Khan, S. A., & Arshad, M. (2019). Volatility Modelling and Dynamic Linkages Between Pakistani and Leading Foreign Stock Markets: A Multivariate GARCH Analysis. The Pakistan Development Review, 58(3), 265-282.

Ghouse, G., Khan, S. A., & Rehman, A. U. (2018). ARDL Model as A Remedy for Spurious Regression: Problems, Performance and Prospectus. MPRA, 83973.

Ghouse, G., & Khan, S. A. (2017). Tracing Dynamic Linkages and Spillover Effect Between Pakistani and Leading Foreign Stock Markets. Review of Financial Economics, 35, 29-42.

Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the Relation Between the Expected Value and The Volatility of The Nominal Excess Return on Stocks. The Journal of Finance, 48(5), 1779–1801.

Hamao, Y., Masulis, R. W., & Ng, V. (1990). Correlations in Price Changes and Volatility Across International Stock Markets. Review of Financial Studies, 3(2), 281–307.

Knight, M. D. (2006). Globalization and Financial Markets. The 34th Economic Conference of the Austrian National Bank, Vienna.

Kose, M. A., Prasad, E., Rogoff, K., & Wei, S. (2007). Financial globalization: Beyond the Blame Game. Finance and Development, 44(1), 8.

Mendoza, E. G., & Quadrini, V. (2010). Financial Globalization, Financial Crises and Contagion. Journal of Monetary Economics, 57(1), 24-39.

Obstfeld, M. (2015). Trilemmas and Tradeoffs: Living with Financial Globalization. Central Banking, Analysis, and Economic Policies Book Series, 20, 013-078.

Onour, I. A. (2010). The Global Financial Crisis AND Equity Markets in Middle East Oil Exporting Countries. MPRA Paper No. 23332, 1–19.

Perraton, J. (2019). The Scope and Implications of Globalisation. In the Handbook of Globalisation, Third Edition. Edward Elgar Publishing.

Padhi, P., & Lagesh, M. A. (2012). Volatility Spillover and Time-Varying Correlation Among the Indian, Asian and US Stock Markets. Journal of Quantitative Economics, 10(2), 78–90.

Quinn, D., Schindler, M., & Toyoda, A. M. (2011). Assessing measures of financial openness and integration. IMF Economic Review, 59(3), 488-522.

Spence, M. (2011). The impact of globalization on income and employment: the downside of integrating markets. Foreign Aff., 90, 28.

Tahir, S. H., Sabir, H. M., Ali, Y., Ali, S. J., & Ismail, A. (2013). Interdependence of South Asian & Developed Stock Markets and Their Impact on KSE (Pakistan). Asian Economic and Financial Review, 3(1), 16–27.

Zia-ur-Rehman, M., Shah, Z. A., & Mushtaq, R. (2011). Sources of Return and Volatility Spillover for Pakistan: An Analysis of Exogenous Factors by Using EGARCH Model. International Conference on Business and Economics Research. Vol. 16, 151–157.