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Full-Text Articles in Applied Statistics
Noise Reduced Realized Volatility: A Kalman Filter Approach, Douglas Steigerwald, John Owens
Noise Reduced Realized Volatility: A Kalman Filter Approach, Douglas Steigerwald, John Owens
Douglas G. Steigerwald
How should one remove microstructure noise from high-frequency asset prices? We show how to use the Kalman filter to efficiently remove microstructure noise.
Inferring Information Frequency And Quality, Douglas G. Steigerwald, John Owens
Inferring Information Frequency And Quality, Douglas G. Steigerwald, John Owens
Douglas G. Steigerwald
We develop a microstructure model that, in contrast to previous models, allows one to estimate the frequency and quality of private information. In addition, the model produces stationary asset price and trading volume series. We find evidence that information arrives frequently within a day and that this information is of high quality. The frequent arrival of information, while in contrast to previous microstructure model estimates, accords with nonmodel-based estimates and the related literature testing the mixture-of-distributions hypothesis. To determine if the estimates are correctly reflecting the arrival of latent information, we estimate the parameters over half-hour intervals within the day. …