New method revolutionizes large volatility matrix estimation in financial data!
The article discusses how to estimate the volatility matrix of many assets using high-frequency financial data. Existing methods struggle with large numbers of assets, but the authors introduce threshold rules to improve accuracy. They show that these new methods can achieve optimal rates of accuracy, but may lose some properties in the process. The study includes a simulation to test the new methods with over a hundred assets.