Volatility and Return Transmission among Cement Industry Stock Prices: an Application of Multivariate FIGARCH Modeling in High Frequency Financial time Series
Long memory in asset returns and volatilities is a new research area, both in theoretical and empirical modeling of high frequent financial time series. The most popular techniques of time series modeling with long memory is the ARFIMA-FIGARCH, but this fractionality in the integration of time serie...
Main Authors: | Gholamreza Keshavarz Haddad, Seyed Babak Ebrahimi, Akbar Jafar Abadi |
---|---|
Format: | Article |
Language: | fas |
Published: |
Allameh Tabataba'i University Press
2011-06-01
|
Series: | فصلنامه پژوهشهای اقتصادی ایران |
Subjects: | |
Online Access: | https://ijer.atu.ac.ir/article_3201_5385c0561ac82aa4f9186f2923892b78.pdf |
Similar Items
-
Investigating Volatility Dynamics of the Portugal Stock Market using FIGARCH Models
by: Santosh KUMAR, et al.
Published: (2023-12-01) -
Long Memory Behavior in the Returns of Pakistan Stock Market: ARFIMA-FIGARCH Models
by: Serpil TURKYILMAZ, et al.
Published: (2014-06-01) -
Multivariate FIGARCH and long memory process: evidence of oil price markets
by: Nadhem Selmi, et al.
Published: (2015-09-01) -
Quantification of the stock market value at risk by using FIAPARCH, HYGARCH and FIGARCH models
by: Moses Khumalo, et al.
Published: (2023-11-01) -
INTERNATIONAL TOURIST ARRIVALS IN THAILAND: FORECASTING WITH ARFIMA-FIGARCH APPROACH
by: KANCHANA CHOKETHAWORN, et al.
Published: (2010-01-01)