Traditional tests of volatility jump detection become highly biased for high frequency data. We compare the rejection rate of existing tests for jump detection based on power variation and scale variation methods with a newly adopted testing method based on principal components of functional...

We introduce a functional volatility process for modeling volatility trajectories for high frequency observations in financial markets. The observed volatility of returns results from this underlying process in combination with a multiplicative white noise. The proposed representation enables us...