IIUM Repository

Modeling volatility using GARCH (1, 1) Model: The case of Kuala Lumpur Composite Index (KLCI)

Islam, Mohd Aminul (2013) Modeling volatility using GARCH (1, 1) Model: The case of Kuala Lumpur Composite Index (KLCI). In: IIUM Research, Invention and Innovation Exhibition 2013, 19 - 20 February 2013, Cultural Activity Centre (CAC) and KAED Gallery, IIUM.

[img] PDF (Modeling volatility using GARCH (1, 1) Model: The case of Kuala Lumpur Composite Index (KLCI))
Restricted to Registered users only

Download (381kB) | Request a copy


In a dynamic environment, economies go through business cycle which may be considered to be a consequence of the stochastic nature of the financial markets. Past few years, there has been observed a considerable uncertainty in the financial markets in both developed and emerging nations worldwide. Most of the investors as well as the financial analysts are concerned about the volatility of the asset prices and its resulting effects of uncertainty of the returns on their investment assets. The primary causes of such asset price fluctuation are the variability in speculative market prices, unexpected events, and the instability of business performance (Floros, 2008). The stochastic nature of the financial market requires quantitative models to explain and analyze the behavior of stock market returns and hence capable of dealing with such uncertainty in price movements. In recent, there has been some remarkable progress in developing sophisticated models to explain and capture various properties of market variable volatilities and hence to manage risks associated with them. Some of the models that deal with estimating volatilities are: Autoregressive Conditional Heteroscedasticity (ARCH) first developed by Engle (1982), Generalized ARCH or GARCH which was an extended version of ARCH proposed by Bollerslev (1986) and Nelson(1991), EGARCH, TGARCH, AGARCH, CGARCH and PGARCH. These are the further extensions of ARCH model. For our case, we applied GARCH (1, 1), the most common and popular tool of the GARCH models.

Item Type: Conference or Workshop Item (Poster)
Additional Information: 5651/33420
Subjects: H Social Sciences > HG Finance > HG4501 Stocks, investment, speculation
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science > Department of Computational and Theoretical Sciences
Depositing User: Dr Aminul Islam
Date Deposited: 20 Dec 2013 15:05
Last Modified: 20 Dec 2013 15:05
URI: http://irep.iium.edu.my/id/eprint/33420

Actions (login required)

View Item View Item


Downloads per month over past year