This paper seeks to study the persistence in the G7’s stock market volatility, which is carried out using the GARCH, IGARCH and FIGARCH models. The data set consists of the daily returns of the S&P/TSX 60, CAC 40, DAX 30, MIB 30, NIKKEI 225, FTSE 100 and S&P 500 indexes over the period 1999-2009. The results evidences long memory in volatility, which is more pronounced in Germany, Italy and France. On the other hand, Japan appears as the country where this phenomenon is less obvious; nevertheless, the persistence prevails but with minor intensity
The objective of this article is to provide additional knowledge to the discussion of long-term memo...
This paper examines persistence in the Ukrainian stock market during the recent financial crisis. Us...
This paper investigates persistence in financial time series at three different frequencies (daily,...
Following the important work on unit roots and cointegration which started in the mid-1980s, a great...
Long memory has always played a central role in physics since it was first discovered by Hurst while...
This paper analyses the behaviour of volatility for several international stock market indexes, name...
Abstract. We have tried in this article to detect, examine, and analyze the persistence in the condi...
Abstract. We have tried in this article to detect, examine, and analyze the persistence in the condi...
This paper investigates persistence in financial time series at three different frequencies (daily, ...
Long memory in variance or volatility refers to a slow hyperbolic decay in auto-correlation function...
Long memory in variance or volatility refers to a slow hyperbolic decay in auto-correlation function...
This paper investigates persistence in financial time series at three different frequencies (daily,...
This paper investigates persistence in financial time series at three different frequencies (daily, ...
Stock market volatility is known to be very persistent, periods of high volatility as well as low vo...
© 2019 The Author(s). This paper investigates persistence in financial time series at three differen...
The objective of this article is to provide additional knowledge to the discussion of long-term memo...
This paper examines persistence in the Ukrainian stock market during the recent financial crisis. Us...
This paper investigates persistence in financial time series at three different frequencies (daily,...
Following the important work on unit roots and cointegration which started in the mid-1980s, a great...
Long memory has always played a central role in physics since it was first discovered by Hurst while...
This paper analyses the behaviour of volatility for several international stock market indexes, name...
Abstract. We have tried in this article to detect, examine, and analyze the persistence in the condi...
Abstract. We have tried in this article to detect, examine, and analyze the persistence in the condi...
This paper investigates persistence in financial time series at three different frequencies (daily, ...
Long memory in variance or volatility refers to a slow hyperbolic decay in auto-correlation function...
Long memory in variance or volatility refers to a slow hyperbolic decay in auto-correlation function...
This paper investigates persistence in financial time series at three different frequencies (daily,...
This paper investigates persistence in financial time series at three different frequencies (daily, ...
Stock market volatility is known to be very persistent, periods of high volatility as well as low vo...
© 2019 The Author(s). This paper investigates persistence in financial time series at three differen...
The objective of this article is to provide additional knowledge to the discussion of long-term memo...
This paper examines persistence in the Ukrainian stock market during the recent financial crisis. Us...
This paper investigates persistence in financial time series at three different frequencies (daily,...