This paper examines the persistencebehaviour of STOXX 50 returns. To this end, weestimated the GARCH, IGARCH and FIGARCHmodels based on a data set comprising the daily returnsfrom January 5th, 1987 to December 27th, 2013. Theresults show that the long-memory in the volatilityreturns constitutes an intrinsic and empiricallysignificant characteristic of the data and are, therefore,in consonance with previous evidence on the subject.Moreover, our findings reveal that the FIGARCH is thebest model to capture linear dependence in theconditional variance of the STOXX 50 returns as givenby the information criteria
This paper investigates the presence of long memory in the Tehran stock market, using the ARFIMA, GP...
This article analyses the long-memory properties of the daily stock market returns of four major eme...
This paper gives a basic overview of the various attempts at modelling stochastic processes for stoc...
This paper investigates the presence of long memory in the eight Central and Eastern European (CEE) ...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
This paper examines the dual long memory property of the Turkish stock market. The data set consists...
Artigo em revista científica internacional com arbitragem científicaWOS:000378613400020 (Nº de Acess...
This paper examines the dual long memory property of the Turkish stock market. The data set consists...
Recent empirical studies suggest that long horizon stock returns are forecastable. While this phenom...
We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data...
Recent studies have suggested that stock markets' volatility has a type of long-range dependenc...
The paper examines the existence of long memory in the Indian stock market using ARFIMA, FIGARCH mod...
Prepared for presentation at the Portuguese Finance Network International Conference 2014, Vilamoura...
We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data...
This paper investigates the presence of long memory in the Tehran stock market, using the ARFIMA, GP...
This article analyses the long-memory properties of the daily stock market returns of four major eme...
This paper gives a basic overview of the various attempts at modelling stochastic processes for stoc...
This paper investigates the presence of long memory in the eight Central and Eastern European (CEE) ...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
This paper examines the dual long memory property of the Turkish stock market. The data set consists...
Artigo em revista científica internacional com arbitragem científicaWOS:000378613400020 (Nº de Acess...
This paper examines the dual long memory property of the Turkish stock market. The data set consists...
Recent empirical studies suggest that long horizon stock returns are forecastable. While this phenom...
We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data...
Recent studies have suggested that stock markets' volatility has a type of long-range dependenc...
The paper examines the existence of long memory in the Indian stock market using ARFIMA, FIGARCH mod...
Prepared for presentation at the Portuguese Finance Network International Conference 2014, Vilamoura...
We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data...
This paper investigates the presence of long memory in the Tehran stock market, using the ARFIMA, GP...
This article analyses the long-memory properties of the daily stock market returns of four major eme...
This paper gives a basic overview of the various attempts at modelling stochastic processes for stoc...