Recent research has suggested that intra-day volatility may possess a component structure, resulting either from the arrival of heterogeneous information or the actions of heterogeneous market agents. This paper reports direct evidence for the existence of such components in S&P500 index and DM|$ exchange rate data. Estimation of a FIGARCH model supports the contention that volatility dynamics result from multiple sources. Using a HARCH conditional variance model which defines volatility components over differing time horizons, confirmatory evidence of heterogeneous components is reported, in which context the impact of high-frequency speculation and noise-trading are particularly apparent. Copyright © 2006 John Wiley & Sons, Ltd.
This paper investigates the use of price intensities to estimate volatilities based on high-frequenc...
The volatility clustering frequently observed in financial/economic time series is often ascribed to...
Recent research has suggested that returns volatility may contain both short-run and long-run compon...
Recent research has suggested that intra-day volatility may possess a component structure, resulting...
Recent research has suggested that intra-day volatility may possess a component structure, though vi...
This paper seeks to explain the causes of volatility clustering in exchange rates. Careful examinati...
Recent research has suggested that intra-day volatility may contain both short-run and long-run comp...
The diversity of agents in a heterogeneous market makes volatilities of different ime resolutions be...
In this paper, we provide additional evidence on the intraday lead-lag relationship in the S&P 500 s...
This thesis is comprised of five papers that are all related to the subject of financial time series...
The increased availability of high frequency data sets have led to important new insights in underst...
The nonlinear testing and modeling of economic and financial time series has increased substantially...
This paper defines and tests a form of market efficiency called market dexterity which requires tha...
We use heterogeneous autoregressive (HAR) model with high-frequency da-ta of Hu-Shen 300 index to in...
Financial volatility is the core of multiple sectors in finance. This work investigates different as...
This paper investigates the use of price intensities to estimate volatilities based on high-frequenc...
The volatility clustering frequently observed in financial/economic time series is often ascribed to...
Recent research has suggested that returns volatility may contain both short-run and long-run compon...
Recent research has suggested that intra-day volatility may possess a component structure, resulting...
Recent research has suggested that intra-day volatility may possess a component structure, though vi...
This paper seeks to explain the causes of volatility clustering in exchange rates. Careful examinati...
Recent research has suggested that intra-day volatility may contain both short-run and long-run comp...
The diversity of agents in a heterogeneous market makes volatilities of different ime resolutions be...
In this paper, we provide additional evidence on the intraday lead-lag relationship in the S&P 500 s...
This thesis is comprised of five papers that are all related to the subject of financial time series...
The increased availability of high frequency data sets have led to important new insights in underst...
The nonlinear testing and modeling of economic and financial time series has increased substantially...
This paper defines and tests a form of market efficiency called market dexterity which requires tha...
We use heterogeneous autoregressive (HAR) model with high-frequency da-ta of Hu-Shen 300 index to in...
Financial volatility is the core of multiple sectors in finance. This work investigates different as...
This paper investigates the use of price intensities to estimate volatilities based on high-frequenc...
The volatility clustering frequently observed in financial/economic time series is often ascribed to...
Recent research has suggested that returns volatility may contain both short-run and long-run compon...