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来源类型Working Paper
规范类型报告
DOI10.3386/w12963
来源IDWorking Paper 12963
No-Arbitrage Semi-Martingale Restrictions for Continuous-Time Volatility Models subject to Leverage Effects, Jumps and i.i.d. Noise: Theory and Testable Distributional Implications
Torben G. Andersen; Tim Bollerslev; Dobrislav Dobrev
发表日期2007-03-14
出版年2007
语种英语
摘要We develop a sequential procedure to test the adequacy of jump-diffusion models for return distributions. We rely on intraday data and nonparametric volatility measures, along with a new jump detection technique and appropriate conditional moment tests, for assessing the import of jumps and leverage effects. A novel robust-to-jumps approach is utilized to alleviate microstructure frictions for realized volatility estimation. Size and power of the procedure are explored through Monte Carlo methods. Our empirical findings support the jump-diffusive representation for S&P500 futures returns but reveal it is critical to account for leverage effects and jumps to maintain the underlying semi-martingale assumption.
主题Econometrics ; Estimation Methods ; Data Collection ; Financial Economics ; Financial Markets
URLhttps://www.nber.org/papers/w12963
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/570629
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GB/T 7714
Torben G. Andersen,Tim Bollerslev,Dobrislav Dobrev. No-Arbitrage Semi-Martingale Restrictions for Continuous-Time Volatility Models subject to Leverage Effects, Jumps and i.i.d. Noise: Theory and Testable Distributional Implications. 2007.
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