1 |
Ait-Sahalia Y, Fan J, and Xiu D (2010). High-frequency covariance estimates with noisy and asynchronous financial data, Journal of the American Statistical Association, 105, 1504-1517.
DOI
|
2 |
Ait-Sahalia Y, Mykland PA, and Zhang L (2005). How often to sample a continuous-time process in the presence of market microstructure noise, The Review of Financial Studies, 18, 351-416.
DOI
|
3 |
Bandi FM and Russell JR (2008). Microstructure noise, realized variance, and optimal sampling, The Review of Economic Studies, 75, 339-369.
DOI
|
4 |
Barndorff-Nielsen OE and Shephard N (2004). Econometric analysis of realized covariation: high frequency based covariance, regression, and correlation in financial economics, Econometrica, 72, 885-925.
DOI
|
5 |
Barndorff-Nielsen OL, Hansen PR, Lunde A, and Shephard N (2011). Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading, Journal of Econometrics, 162, 149-169.
DOI
|
6 |
Bibinger M (2011a). Efficient covariance estimation for asynchronous noisy high-frequency data, Scandinavian Journal of Statistics, 38, 23-45.
DOI
|
7 |
Bibinger M (2011b). Asymptotics of asynchronicity (technical report), Retrieved Sep 8, 2016, from: http://sfb649.wiwi.huberlin.de/papers/pdf/SFB649DP2011-033.pdf
|
8 |
Bibinger M (2012). An estimator for the quadratic covariation of asynchronously observed Ito processes with noise: Asymptotic distribution theory, Stochastic Processes and their Applications, 122, 2411-2453.
DOI
|
9 |
Dovonon P, Goncalves S, and Meddahi N (2013). Bootstrapping realized multivariate volatility measures, Journal of Econometrics, 172, 49-65.
DOI
|
10 |
Griffin JE and Oomen RCA (2011). Covariance measurement in the presence of non-synchronous trading and market microstructure noise, Journal of Econometrics, 160, 58-68.
DOI
|
11 |
Hall P and Heyde CC (1980). Martingale Limit Theory and Its Application, Academic Press, New York.
|
12 |
Hayashi T and Yoshida N (2005). On covariance estimation of non-synchronously observed diffusion processes, Bernoulli, 11,359-379.
DOI
|
13 |
Zhang L, Mykland PA, and Ait-Sahalia Y (2005). A tale of two time scales: determining integrated volatility with noisy high-frequency data, Journal of the American Statistical Association, 100, 1394-1411.
DOI
|
14 |
Hwang E and Shin DW (2016). Two-stage stationary bootstrapping for bivariate average realized volatility matrix under market microstructure noise and asynchronicity, Manuscript submitted.
|
15 |
Mykland PA and Zhang L (2002). ANOVA for diffusions (technical report), University of Chicago.
|
16 |
Voev V and Lunde A (2007). Integrated covariance estimation using high-frequency data in the presence of noise, Journal of Financial Econometrics, 5, 68-104.
|