Multivariate High-frequency Analysis

Multivariate High-Frequency Analysis is a statistical methodology within time series analysis that involves the simultaneous modeling and inference of multiple interdependent high-frequency financial or economic processes to capture dynamics such as co-movements, lead-lag relationships, and cross-market spillovers at fine temporal resolutions.

32

Publications

3.4K

Citations

69

Authors

52

Institutions

Publications per year

2017–2026

2

Authors

69

  1. MD
    Manfred Deistler

    TU Wien, Austria

    2 publications · 53 citations

    2

    h-index

  2. SP
    Stefano Peluso

    Università Cattolica del Sacro Cuore, Italy

    2 publications · 34 citations

    2

    h-index

  3. BD
    Brian D. O. Anderson

    Australian National University, Australia

    2 publications · 53 citations

    2

    h-index

  4. DX
    Dacheng Xiu

    University of Chicago, United States

    2 publications · 252 citations

    2

    h-index

  5. MZ
    Mohsen Zamani

    University of Newcastle Australia, Australia

    2 publications · 53 citations

    2

    h-index

1–5 of 69

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 127 citations

    5

    h-index

  2. Quantitative Finance

    3 publications · 374 citations

    3

    h-index

  3. 3

    h-index

  4. Journal of Econometrics

    2 publications · 330 citations

    2

    h-index

  5. The European Physical Journal B

    1 publications · 12 citations

    1

    h-index

1–5