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In this paper, we assess the one-day-ahead Value-at-Risk (VaR) performance for the Tunisian Stock Market (TSE). Using the ARFIMA-FIGARCH and ARFIMA-FIAPARCH models under three alternative innovation distributions: normal, Student and skewed Student, we ...
Samir Mabrouk, Chaker Aloui
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Forecasting crude palm oil (CPO) prices with Arfima-Figarch method
AIP Conference ProceedingsMaulidya Maghfiro +1 more
openaire +3 more sources
Inflação inercial como um processo de longa memória: análise a partir de um modelo Arfima-Figarch [PDF]
O objetivo principal deste estudo é investigar a dependência de longo prazo da inflação brasileira, descrevendo-a como um processo fracionariamente integrado tanto na média quanto na variância.
André M Marques
exaly +2 more sources
2017
The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model.
Rastgoo, Nemat, Panahian, Hossein
openaire +1 more source
The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model.
Rastgoo, Nemat, Panahian, Hossein
openaire +1 more source
A novel time-varying FIGARCH model for improving volatility predictions
Physica A: Statistical Mechanics and Its Applications, 2022Xuehui Chen, Xinru Zhang
exaly
Long Memory in Eastern European Financial Markets Returns
Economic Research-Ekonomska Istrazivanja, 2012Ciprian Necula
exaly
Modeling high-frequency volatility with three-state FIGARCH models
Economic Modelling, 2015Yanlin Shi
exaly
Bivariate FIGARCH and fractional cointegration
Journal of Empirical Finance, 2000Celso Brunetti
exaly

