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Economic research - Ekonomska istraživanja, Vol.24 No.4 December 2011.

Preliminary communication

VOLATILITY DYNAMICS IN AN EMERGING ECONOMY: CASE OF KARACHI STOCK EXCHANGE

Mahreen Mahmud
Nawazish Mirza

Fulltext: english, pdf (521 KB) pages 51-64 downloads: 637* cite
APA 6th Edition
Mahmud, M. & Mirza, N. (2011). VOLATILITY DYNAMICS IN AN EMERGING ECONOMY: CASE OF KARACHI STOCK EXCHANGE. Economic research - Ekonomska istraživanja, 24 (4), 51-64. Retrieved from https://hrcak.srce.hr/77598
MLA 8th Edition
Mahmud, Mahreen and Nawazish Mirza. "VOLATILITY DYNAMICS IN AN EMERGING ECONOMY: CASE OF KARACHI STOCK EXCHANGE." Economic research - Ekonomska istraživanja, vol. 24, no. 4, 2011, pp. 51-64. https://hrcak.srce.hr/77598. Accessed 21 Nov. 2018.
Chicago 17th Edition
Mahmud, Mahreen and Nawazish Mirza. "VOLATILITY DYNAMICS IN AN EMERGING ECONOMY: CASE OF KARACHI STOCK EXCHANGE." Economic research - Ekonomska istraživanja 24, no. 4 (2011): 51-64. https://hrcak.srce.hr/77598
Harvard
Mahmud, M., and Mirza, N. (2011). 'VOLATILITY DYNAMICS IN AN EMERGING ECONOMY: CASE OF KARACHI STOCK EXCHANGE', Economic research - Ekonomska istraživanja, 24(4), pp. 51-64. Available at: https://hrcak.srce.hr/77598 (Accessed 21 November 2018)
Vancouver
Mahmud M, Mirza N. VOLATILITY DYNAMICS IN AN EMERGING ECONOMY: CASE OF KARACHI STOCK EXCHANGE. Economic research - Ekonomska istraživanja [Internet]. 2011 [cited 2018 November 21];24(4):51-64. Available from: https://hrcak.srce.hr/77598
IEEE
M. Mahmud and N. Mirza, "VOLATILITY DYNAMICS IN AN EMERGING ECONOMY: CASE OF KARACHI STOCK EXCHANGE", Economic research - Ekonomska istraživanja, vol.24, no. 4, pp. 51-64, 2011. [Online]. Available: https://hrcak.srce.hr/77598. [Accessed: 21 November 2018]

Abstracts
The paper aims to model and forecast the volatility in the stocks traded at the Karachi Stock Exchange before and during the recent financial crisis using the GARCH, EGARCH and GJR-GARCH models. We find the stock return volatility to be characterized by clustering and displaying asymmetries. Results point to the capability of the EGARCH(1,1) model at forecasting for both periods lending support to the use of GARCH family of models for emerging markets during crisis. We find evidence for a synthetically constructed index based on trading volume capturing the volatility structure of the market as well as that based on market capitalization which has important implications for investors.

Keywords
Karachi Stock Exchange; Trading Volume; Forecasting; Volatility Clustering

Hrčak ID: 77598

URI
https://hrcak.srce.hr/77598

[croatian]

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