English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Motivated by statistical analysis of latent factor models for high-frequencyfinancial data, we develop sharp upper bounds for the spectral norm of therealized covariance matrix of a high-dimensional It\^o semimartingale withpossibly infinite activity jumps. For this purpose, we develop Burkholder-Gundytype inequalities for matrix martingales with the help of the theory ofnon-commutative $L^p$ spaces. The obtained bounds are applied to estimating thenumber of (relevant) common factors in a continuous-time latent factor modelfrom high-frequency data in the presence of weak factors.

Spectral norm bounds for high-dimensional realized covariance matrices and application to weak factor models