Gateway to Think Tanks
来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w12963 |
来源ID | Working 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 |
URL | https://www.nber.org/papers/w12963 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/570629 |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w12963.pdf(668KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。