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.
Andersen, T. G., Bollerslev, T., Diebold, F. and Labys, P. (2001). .The distribution of realized exchange rate volatility,. Journal of the American Statistical Association 96, 42.55.
Andersen, T. G., Bollerslev, T., Diebold, F. and Labys, P. (2003). .Modeling and forecasting realized volatility,. Econometrica 71, 579.625.
- Bandi, F. and Russell, J. (2005). .Realized covariation, realized beta and microstructure noise,. Unpublished paper, Graduate School of Business, University of Chicago.
Paper not yet in RePEc: Add citation now
Barndorff-Nielsen, O. and Shephard, N. (2002a). .Econometric analysis of realized volatility and its use in estimating stochastic volatility models,. Journal of the Royal Statistical Society Series B (Statistical Methodology) 64, 253.280.
Barndorff-Nielsen, O. and Shephard, N. (2004). .Econometric analysis of realized covariation; high frequency based covariance, regression, and correlation in financial economics,. Econometrica 72, 885.925.
Barndorff-Nielsen, O. E. and Shephard, N. (2001). .Non-gaussian ornstein-uhlembech-based models and some of their rses in financial economics,. Journal of the Royal Statistical Society Series B(63), 167.241.
Barndorff-Nielsen, O. E. and Shephard, N. (2002b). .Estimating quadratic variation using realized variance,. Journal of Applied Econometrics 17, 457.477.
Barndorff-Nielsen, O. E. and Shephard, N. (2005). .How accurate is the asymptotic approximation to the distribution of realized volatility?,. In: D. W. F. Andrews and J. H. Stock (Eds.). Identification and Inference for Econometric Models. A Festschrift in Honour of T. J. Rothenberg. Cambridge University Press. 306.331.
Barndorff-Nielsen, O. E., Hansen, P. R., 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(2), 149.169.
Bollerslev, T. and Zhang, B. Y. B. (2003). .Measuring and modeling systematic risk in factor pricing models using high-frequency data,. Journal of Empirical Finance 10(5), 533.558.
Cohen, K., Hawawini, G. A., Maier, S. F., Schwartz, R. A. and Whitcomb, D. K. (1983). .Friction in the trading process and the estimation of systematic risk,. Journal of Financial Economics 12, 263.278.
Comte, F. and Renault, E. (1998). .Long memory in continuous time stochastic volatility models,. Mathematical Finance 8, 291.323.
Corsi, F. and Audrino, F. (2008). .Realized covariance tick-by-tick in presence of rounded time stamps and general microstructure effects,. Unpublished manuscript, University of St. Gallen.
De Jong, F. and Nijman, T. (1997). .High frequency analysis of lead-lag relationships between financial markets,. Journal of Empirical Finance 4(2.3), 259.277.
- Dempster, A., Laird, N. and Rubin, D. (1977). .Maximum Likelihood Estimation from Incomplete Data,. Journal of Royal Statistical Society (B) 39, 1.38.
Paper not yet in RePEc: Add citation now
- Digalakis, V., Rohlicek, J. and Ostendorf, M. (1993). .ML Estimation of a Stochastic Linear System with the EM Algorithm and its Application to Speech Recognition,. IEEE Transactions on Speech and Audio Processing 1, 431.442.
Paper not yet in RePEc: Add citation now
- Elliott, R., Aggoun, L. and Moore, J. (1995). Hidden Markov models: estimation and control, volume 29. Springer.
Paper not yet in RePEc: Add citation now
- Epps, T. (1979). .Comovements in Stock Prices in the Very Short Run,. Journal of the American Statistical Association 74, 291.296.
Paper not yet in RePEc: Add citation now
Fan, J. and Wang, Y. (2007). .Multi-scale jump and volatility analysis for high-frequency financial data,. Journal of the American Statistical Association 102, 1349.1362.
Griffn, J. and Oomen, R. (2011). .Covariance measurement in the presence of non-synchronous trading and market microstructure noise,. Journal of Econometrics 160(1), 58.68.
- Gupta, N. and Mehra, R. (1974). .Computational Aspects of Maximum Likelihood Estimation and Reduction in Sensitivity Function Calculations,. IEEE Trans Automatic Control, AC 19, 774.783.
Paper not yet in RePEc: Add citation now
Hansen, P., Lunde, A. and Nason, J. (2003). .Choosing the best volatility models: The model confidence set approach,. Oxford Bulletin of Economics and Statistics 65, 839.861.
Hansen, P., Lunde, A. and Nason, J. (2011). .The model confidence set,. Econometrica 79(2), 453.497.
Hautsch, N., Kyj, L. and Oomen, R. (2009). .A blocking and regularization approach to high-dimensional realized covariance estimation,. Journal of Applied Econometrics.
- Hayashi, T. and Yoshida, N. (2005). .On Covariance Estimation of Non-Synchronously Observed Diffusion Processes,. Bernoulli 11, 359.379.
Paper not yet in RePEc: Add citation now
Heston, S. (1993). .A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options,. The Review of Financial Studies 6, 327.343.
- Higham, J. (2002). .Computing the Nearest Correlation Matrix: a Problem from Finance,. IMA Journal of Numerical Analysis 22, 329.343.
Paper not yet in RePEc: Add citation now
Lee, S. and Mykland, P. (2008). .Jumps in financial markets: A new nonparametric test and jump dynamics,. Review of Financial studies 21(6), 25.35.
Lo, A. and MacKinlay, C. A. (1990). .An econometric analysis of nonsynchronous trading,. Journal of Econometrics 45(1.2), 181.211.
Mancino, M. and Sanfelici, S. (2011). .Estimating covariance via fourier method in the presence of asynchronous trading and microstructure noise,. Journal of Financial Econometrics 9(2), 367.
Merton, R. C. (1980). .On estimating the expected return on the market: an exploratory investigation,. Journal of Financial Economics 8, 323.61.
- Palandri, A. (2006). .Consistent realized covariance for asynchronous observations contaminated by market microstructure noise,. Unpublished Manuscript.
Paper not yet in RePEc: Add citation now
- Peluso, S., Corsi, F. and Mira, A. (2011). .A Bayesian High-Frequency Estimator of the Multivariate Covariance of Noisy and Asynchronous Returns,. working paper, Swiss Finance Institute.
Paper not yet in RePEc: Add citation now
- Renò, R. (2003). .A closer look at the Epps effect,. International Journal of Theoretical and Applied Finance 6(1), 87.102.
Paper not yet in RePEc: Add citation now
- Roweis, S. and Ghahramani, Z. (1999). .A unifying review of linear gaussian models,. Neural computation 11(2), 305.345.
Paper not yet in RePEc: Add citation now
Scholes, M. and Williams, J. (1977). .Estimating betas from nonsynchronous data,. Journal of Financial Economics 5, 181.212.
- Sheppard, K. (2006). .Realized covariance and scrambling,. Unpublished Manuscript.
Paper not yet in RePEc: Add citation now
Shumway, R. and Stoffer, D. (1982). .An Approach to Time Series Smoothing and Forecasting using the EM Algorithm,. Journal of Time Series Analysis 3, 253.264.
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.
- West, M. and Harrison, P. (1997). Bayesian Forecasting and Dynamic Models. New York: Springer Verlag.
Paper not yet in RePEc: Add citation now
- Wu, C. (1983). .On the convergence properties of the EM algorithm,. The Annals of Statistics 11(1), 95.103.
Paper not yet in RePEc: Add citation now
Xiu, D. (2010). .Quasi-Maximum Likelihood Estimation of Volatility With High Frequency Data,. Journal of Econometrics 159, 235.250.
Zhang, L. (2011). .Estimating covariation: Epps effect, microstructure noise,. Journal of Econometrics 160(1), 33.47.