Results 51 to 60 of about 2,629 (114)

Türkiye hisse senedi piyasası getiri ve oynaklığındaki uzun dönem bağımlılık için ampirik bir analiz [PDF]

open access: yes, 2014
Çalışma ARFIMA-FIGARCH modelleri yardımıyla Türkiye hisse senedi piyasası getirilerinde ikili uzun hafıza özelliğinin varlığını incelemekte dolayısıyla zayıf formda etkin piyasa hipotezini test etmektedir. Bu amaçla kullanılan veri 2010-2013 dönemi Borsa
Balıbey, Mesut, Türkyılmaz, Serpil
core   +1 more source

Accounting for conditional leptokurtosis and closing days effects in FIGARCH models of daily exchange rates

open access: yes, 2002
This paper, estimates FIGARCH models introduced by Baillie et al. (1996a) for the four major daily exchange rates against the USD (DEM, FRF, YEN and the GBP). The former contributions are extended by accounting for the observed kurtosis through a Student-
Beine, M.   +8 more
core   +1 more source

Inflação inercial como um processo de longa memória: análise a partir de um modelo Arfima-Figarch

open access: yes, 2016
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.
Marques, Andre M.   +1 more
core  

Understanding the Nature of the Long-Range Memory Phenomenon in Socioeconomic Systems. [PDF]

open access: yesEntropy (Basel), 2021
Kazakevičius R   +3 more
europepmc   +1 more source

Bivariate error correction FIGARCH and FIAPARCH models on the Australian All Ordinaries Index and its SPI futures [PDF]

open access: yes
In this paper we extend the univariate FIGARCH and FIAPARCH models to a bivariate framework. We estimate bivariate error correction FIGARCH and FIAPARCH models between the All Ordinaries Index and its SPI futures using constant correlation and diagonal ...
Jonathan Dark
core  

International Tourist Arrivals In Thailand: Forecasting With Arfima-Figarch Approach

open access: yes
Forecasting is an essential analytical tool for tourism policy and planning. This paper focuses on forecasting methods based on ARFIMA(p,d,q)-FIGARCH(p,d,q).
Prasert Chaitip   +5 more
core  

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