GARCH Parameter estimation using least absolute median / Hanafi A.Rahim
The general autoregressive conditional heteroscedasticity, (GARCH) family has become more efficient in fitting financial data as it consists of the second order moment that measures the time-variant of the volatility data. However, GARCH may fail to fit some high frequency financial data with large...
Main Author: | A.Rahim, Hanafi |
---|---|
Format: | Book Section |
Language: | English |
Published: |
Institute of Graduate Studies, UiTM
2012
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/19184/ http://ir.uitm.edu.my/id/eprint/19184/1/ABS_HANAFI%20A.RAHIM%20TDRA%20VOL%202%20IGS%2012.pdf |
Similar Items
-
A correlational study on efficacy beliefs and perceived competency in Project-Based Learning amongst English as a second language lecturers at The Malaysian Teacher Education Institutes / Sakhiyyah A.Rahim
by: A.Rahim, Sakhiyyah
Published: (2018) -
Enhanced variance targeting estimator for parameter estimation in GARCH model / Muhammad Asmu'i Abdul Rahim
by: Abdul Rahim, Muhammad Asmu'i
Published: (2017) -
Estimation of upper limb impedance parameters using recursive least square estimator
by: Htoon, Zaw Lay, et al.
Published: (2016) -
Method of Moments Estimation of GO-GARCH Models
by: Boswijk, Peter H., et al.
Published: (2012) -
Forecasting Portfolio Risk Estimation by Using Garch and Var
Methods
by: Noor Azlinna, Azizan, et al.
Published: (2012)