Market noise impacts volatility estimation, revealing dynamic effects on transaction prices.
Market microstructure noise in high-frequency data affects the accuracy of volatility estimation. A simple kernel-based estimator is better than the realized variance for estimating integrated variance. The noise is time-dependent and linked to changes in the efficient price. By using cointegration techniques, transaction prices and bid-ask quotes can be broken down into the efficient price and noise components, allowing for a better understanding of how changes in the efficient price impact transaction prices and quotes.