Abstract
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 (c) 2006 John Wiley & Sons, Ltd.
Original language | English |
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Pages (from-to) | 115-121 |
Number of pages | 7 |
Journal | International Journal of Finance and Economics |
Volume | 11 |
DOIs | |
Publication status | Published - Apr 2006 |
Keywords
- intra-day
- heterogeneous markets
- HARCH
- LONG MEMORY
- MODELS
- HETEROSKEDASTICITY
- PERSISTENCE
- INFORMATION
- RETURNS
- VOLUME
- GARCH