Results 1 to 10 of about 14,433,507 (196)

An Overview of FIGARCH and Related Time Series Models

open access: yesAustrian Journal of Statistics, 2016
This paper reviews the theory and applications related to fractionally integrated generalized autoregressive conditional heteroscedastic (FIGARCH) models, mainly for describing the observed persistence in the volatility of a time series.
Maryam Tayefi, T.V. Ramanathan
doaj   +5 more sources

A Study of Nigeria Monthly Stock Price Index Using ARTFIMA-FIGARCH Hybrid Model

open access: yesUMYU Scientifica Journal, 2023
Long memory is a phenomenon in time series analysis that is exhibited by a slow decay of the autocorrelation function. It has been observed that the presence of long memory in both mean and volatility can complicate model fitting and compromise ...
A G Umar, H G Dikko, J Garba, M Tasi’u
doaj   +2 more sources

DEVELOPING THE HYBRID ARIMA- FIGARCH MODEL FOR TIME SERIES ANALYSIS

open access: yesFUDMA JOURNAL OF SCIENCES, 2023
This study takes into account the newly developed hybrid ARIMA-FIGARCH. We use the daily price index of the S&P 500. The data employed for this study was secondary in nature for all the variables and was obtained from the publications of the Central Bank of Nigeria Bulletin, the National Bureau of Statistics, and the World Bank Statistics Database,
Musa Usman Bawa   +4 more
openaire   +3 more sources

Block Trading Based Volatility Forecasting: An Application of VACD-FIGARCH Model [PDF]

open access: yesThe Journal of Asian Finance, Economics and Business, 2020
The purpose of this study is to construct the ACD model for the block trading volume duration. The ACD model based on the block trading volume duration is referred to as Volume ACD (VACD) in this study. By integrating with GARCH-type models, the VACD based GARCH type models, which include VACD-GARCH, VACD-IGARCH and VACD-FIGARCH models, are set up ...
Teng-Tsai TU, Chih-Wei LIAO
openaire   +3 more sources

Investigating Volatility Dynamics of the Portugal Stock Market using FIGARCH Models [PDF]

open access: yesAnnals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2023
The act of modeling and forecasting stock market volatility has become essential to risk management practice; it has become one of the most prevalent subjects in financial econometrics and has been mainly and continuously used in the valuation of ...
Santosh KUMAR   +4 more
doaj   +2 more sources

Modelling the High Frequency Exchange Rate in Romania with FIGARCH

open access: yesProcedia Economics and Finance, 2014
AbstractRomanian forex market is an emerging market with periods of high volatility. The Romanian exchange rate was for a long term on a depreciating trend in nominal terms interrupted by short bursts of appreciation. The paper applies a FIGARCH model (Beine at al., 2002) for measuring the volatility of exchange rates in order to see how the forex ...
Pelinescu, Elena, Acatrinei, Marius
openaire   +3 more sources

Statistical modelling for forecasting volatility in potato prices using ARFIMA-FIGARCH model

open access: yesThe Indian Journal of Agricultural Sciences, 2018
This paper investigates the presence of long memory both in mean and volatility in the potato prices in Agra and Amritsar markets of India, using the Autoregressive fractionally integrated moving average (ARFIMA) and Fractionally integrated generalized autoregressive conditional heteroscedastic (FIGARCH) models.
DIPANKAR MITRA   +2 more
openaire   +3 more sources

Estimating the Degree of Integration in CPI with ARFIMA-FIGARCH Model: Case study of Iran [PDF]

open access: yesFaslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2014
The study of the effect of memory in different economic indices, especially inflation and money market, has high research attractiveness. In this paper, by using the data of consumer price index for Iran during 1990/04 – 2011/11, we investigate the ...
Hossein Abbasinejad   +1 more
doaj   +1 more source

Modelling High-Frequency Volatility with Three-State FIGARCH Models [PDF]

open access: yesSSRN Electronic Journal, 2013
Abstract Fractionally Integrated Generalized Autoregressive Conditional Heteroskedasticity (FIGARCH) models have enjoyed considerable popularity over the past decade because of their ability to capture the features of volatility clustering and long-memory persistence.
Shi, Yanlin, Ho, Kin-Yip
openaire   +3 more sources

Evaluating the Effectiveness of GARCH Models in the Estimation of Systematic Risk in listed companies of the Tehran Stock Exchange [PDF]

open access: yesJournal of Asset Management and Financing, 2020
The stock market of each country, in addition to reflecting its economic structure, is considered as an important source of capital Circulation of that country.
nemat rastgoo, Hossein panahian
doaj   +1 more source

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