Estimation of stochastic volatility with long memory for index prices of FTSE Bursa Malaysia KLCI
In recent years, modeling in long memory properties or fractionally integrated processes in stochastic volatility has been applied in the financial time series. A time series with structural breaks can generate a strong persistence in the autocorrelation function, which is an observed behaviour of a...
Saved in:
Main Authors: | Chen, Kho Chia, Bahar, Arifah, Kane, Ibrahim Lawal, Ting, Chee-Ming, Abd. Rahman, Haliza |
---|---|
Format: | Conference or Workshop Item |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/63484/ http://dx.doi.org/10.1063/1.4907427 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimation of Stochastic Volatility with Long Memory for Index Prices of FTSE Bursa Malaysia KLCI
by: Chen, Kho Chia, et al.
Published: (2015) -
Long memory estimation of stochastic volatility for index prices
by: Kho, Chia Chen
Published: (2017) -
Volatility of FTSE Bursa Malaysia KLCI index and exchange rete around 2008 financial crisis
by: Lim, Xin Yi
Published: (2015) -
Probability distribution of returns in Heston model for index prices of FTSE Bursa Malaysia KLCI
by: Tey, Seah Ying
Published: (2012) -
The Use of Artificial Neural Network for Forecasting of FTSE Bursa Malaysia KLCI Stock Price Index
by: Ardiansyah, Soleh, et al.
Published: (2013)