Forecasting the Jordanian stock index: modelling asymmetric volatility and distribution effects within a GARCH framework
The modelling of market returns can be especially problematical in emerging and frontier financial markets given the propensity of their returns to exhibit significant non-normality and volatility asymmetries. This paper attempts to identify which representations within the GARCH family of models c...
Main Authors: | Heitham Al-Hajieh, Hashem AlNemer, Timothy Rodgers, Jacek Niklewski |
---|---|
Format: | Article |
Language: | English |
Published: |
Nicolaus Copernicus University in Toruń
2015-12-01
|
Series: | Copernican Journal of Finance & Accounting |
Subjects: | |
Online Access: | https://apcz.umk.pl/CJFA/article/view/8193 |
Similar Items
-
Forecasting the Jordanian stock index: modelling asymmetric volatility and distribution effects within a GARCH framework
by: Heitham Al-Hajieh, et al.
Published: (2015-12-01) -
GARCH Model IBM Stock Forecasting of Price Volatility
by: Balqis Dwian Fitri Zamzami, et al.
Published: (2024-06-01) -
Forecasting Performance of Asymmetric GARCH Stock Market Volatility Models
by: Hojin Lee
Published: (2009-12-01) -
Day of the Week Effect in Stock Returns by using Bootstrapping GARCH
by: سولماز صفری, et al.
Published: (2014-06-01) -
Exploring Advanced GARCH Models for Analyzing Asymmetric Volatility Dynamics for the Emerging Stock Market in Hungary: An Empirical Case Study
by: Shreevastava Aman, et al.
Published: (2024-08-01)