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.
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Calif State Univ, Finance, San Bernardino, CA USACalif State Univ, Finance, San Bernardino, CA USA
Chen, Haiwei
Chong, James
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Calif State Univ, Dept Finance Real Estate & Insurance, 18111 Nordhoff St, Northridge, CA 91330 USACalif State Univ, Finance, San Bernardino, CA USA
Chong, James
Lu, Changjiang
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Fudan Univ, Shanghai 200433, Peoples R ChinaCalif State Univ, Finance, San Bernardino, CA USA
Lu, Changjiang
Wang, Kemin
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Fudan Univ, Shanghai 200433, Peoples R ChinaCalif State Univ, Finance, San Bernardino, CA USA
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Birla Inst Technol & Sci Pilani, Dept Humanities & Social Sci, Dubai Campus, Dubai, U Arab EmiratesBirla Inst Technol & Sci Pilani, Dept Humanities & Social Sci, Dubai Campus, Dubai, U Arab Emirates
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Kyoto Univ, Grad Sch Informat, Dept Appl Math & Phys, Yoshida honmachi ,Sakyo ku, Kyoto 6068501, JapanKyoto Univ, Grad Sch Informat, Dept Appl Math & Phys, Yoshida honmachi ,Sakyo ku, Kyoto 6068501, Japan
Kakinaka, Shinji
Umeno, Ken
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Kyoto Univ, Grad Sch Informat, Dept Appl Math & Phys, Yoshida honmachi ,Sakyo ku, Kyoto 6068501, JapanKyoto Univ, Grad Sch Informat, Dept Appl Math & Phys, Yoshida honmachi ,Sakyo ku, Kyoto 6068501, Japan