Determining the integrated volatility via limit order books with multiple records
暂无分享,去创建一个
[1] Ioanid Roşu. A Dynamic Model of the Limit Order Book , 2008 .
[2] A. Shiryaev,et al. Limit Theorems for Stochastic Processes , 1987 .
[3] Wei Chen,et al. Empirical regularities of order placement in the Chinese stock market , 2007, 0712.0912.
[4] V. Corradi,et al. Assessing Market Microstructure Effects via Realized Volatility Measures with an Application to the Dow Jones Industrial Average Stocks , 2009 .
[5] M. Mézard,et al. Statistical properties of stock order books: empirical results and models , 2002, cond-mat/0203511.
[6] Lawrence Harris,et al. Market vs. Limit Orders: The SuperDOT Evidence on Order Submission Strategy , 1996, Journal of Financial and Quantitative Analysis.
[7] Volatility estimation under one-sided errors with applications to limit order books , 2014, 1408.3768.
[8] F. Delbaen,et al. A general version of the fundamental theorem of asset pricing , 1994 .
[9] Zhi Liu,et al. On the Estimation of Integrated Volatility With Jumps and Microstructure Noise , 2014 .
[10] Jianqing Fan,et al. High-Frequency Covariance Estimates With Noisy and Asynchronous Financial Data , 2010 .
[11] D. Xiu. Quasi-Maximum Likelihood Estimation of Volatility with High Frequency Data , 2010 .
[12] Ioanid Roşu. Liquidity and Information in Limit Order Markets , 2019, Journal of Financial and Quantitative Analysis.
[13] Yacine Ait-Sahalia,et al. How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise , 2003 .
[14] Jean Jacod,et al. Microstructure Noise in the Continuous Case: The Pre-Averaging Approach - JLMPV-9 , 2007 .
[15] Bing-Yi Jing,et al. Estimating the Volatility Functionals with Multiple Transactions , 2015 .
[16] R. Cont. Empirical properties of asset returns: stylized facts and statistical issues , 2001 .
[17] Oliver Linton,et al. Estimating quadratic variation consistently in the presence of endogenous and diurnal measurement error , 2008 .
[18] Zhi Liu. Estimating integrated co-volatility with partially miss-ordered high frequency data , 2016 .
[19] N. Shephard,et al. Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise , 2006 .
[20] Kim Christensen,et al. Realized Range-Based Estimation of Integrated Variance , 2006 .
[21] Lan Zhang,et al. A Tale of Two Time Scales , 2003 .
[22] Lan Zhang. Efficient Estimation of Stochastic Volatility Using Noisy Observations: A Multi-Scale Approach , 2004, math/0411397.
[23] Michael Sørensen,et al. Estimating functions for diffusion-type processes , 2012 .
[24] Jean-Philippe Bouchaud,et al. The price impact of order book events: market orders, limit orders and cancellations , 2009, 0904.0900.
[25] Jia Li. Robust Estimation and Inference for Jumps in Noisy High Frequency Data: A Local-to-Continuity Theory for the Pre-Averaging Method , 2013 .