The paper applies Markov Regime Switching Model (MRSM) to investigate the volatility behaviour of twelve OECD stock markets (U.S.A, France, Ireland, Netherlands, Spain, Denmark, Norway, Sweden, Switzerland, UK, Australia and Japan) for the period 2004-2010. The results highlight two different regimes: the first regime consist of low mean high volatility whereas the second regime is categorized by high mean low volatility. We conclude that the periods of high volatility are generally synchronous to several economic and/or political events in all the developed markets during the period under investigation
This paper proposes a new procedure for analyzing volatility links between di®erent markets based o...
AbstractThis article uses Markov regime Switching ARCH (SWARCH) model to research the volatility of ...
In this paper we employ a Markov-Switching EGARCH model to investigate the dynamic linkage between s...
This paper studiesthe volatility in ten Europeanstock markets (Denmark, France, Germany, Ireland, It...
In this paper, we use weekly stock market data to examine whether the volatility of stock returns of...
Due to the evolutions in the financial markets, characteristics of markets have been changed. It ha...
In this paper, we use weekly stock market data to examine whether the volatility of stock returns of...
In this paper, we use weekly stock market data to examine whether the volatility of stock returns of...
Based on the fact that volatility is time varying in high frequency data and that periods of high vo...
In this paper we use the Markov regime-switching model to investigate the volatility behavior of six...
The study used the Markov regime switching model to investigate the presence of regimes in the volat...
The current thesis attempts to highlight and offer some insight on the issues of regime shifts, cont...
The thesis is divided into two parts. The theoretical part introduces the reader to the theory of AR...
The current thesis attempts to highlight and offer some insight on the issues of regime shifts, cont...
In this paper we employ a Markov-Switching EGARCH model to investigate the dynamic linkage between s...
This paper proposes a new procedure for analyzing volatility links between di®erent markets based o...
AbstractThis article uses Markov regime Switching ARCH (SWARCH) model to research the volatility of ...
In this paper we employ a Markov-Switching EGARCH model to investigate the dynamic linkage between s...
This paper studiesthe volatility in ten Europeanstock markets (Denmark, France, Germany, Ireland, It...
In this paper, we use weekly stock market data to examine whether the volatility of stock returns of...
Due to the evolutions in the financial markets, characteristics of markets have been changed. It ha...
In this paper, we use weekly stock market data to examine whether the volatility of stock returns of...
In this paper, we use weekly stock market data to examine whether the volatility of stock returns of...
Based on the fact that volatility is time varying in high frequency data and that periods of high vo...
In this paper we use the Markov regime-switching model to investigate the volatility behavior of six...
The study used the Markov regime switching model to investigate the presence of regimes in the volat...
The current thesis attempts to highlight and offer some insight on the issues of regime shifts, cont...
The thesis is divided into two parts. The theoretical part introduces the reader to the theory of AR...
The current thesis attempts to highlight and offer some insight on the issues of regime shifts, cont...
In this paper we employ a Markov-Switching EGARCH model to investigate the dynamic linkage between s...
This paper proposes a new procedure for analyzing volatility links between di®erent markets based o...
AbstractThis article uses Markov regime Switching ARCH (SWARCH) model to research the volatility of ...
In this paper we employ a Markov-Switching EGARCH model to investigate the dynamic linkage between s...