Asynchronous Data Sampling

Asynchronous Data Sampling is a data collection methodology in high-frequency financial econometrics that samples asset price observations at irregular, non-synchronized time intervals across different assets, thereby accounting for the inherent lack of simultaneity in market events and trading activities.

114

Publications

5.7K

Citations

382

Authors

170

Institutions

Publications per year

2017–2026

32

Authors

382

  1. CL
    Chao Lü

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 156 citations

    6

    h-index

  2. TD
    T. Dekorsy

    University of Konstanz, Germany

    5 publications · 302 citations

    5

    h-index

  3. AP
    Alan Pak Tao Lau

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 135 citations

    5

    h-index

  4. FE
    Fred E. Lytle

    Purdue University West Lafayette, United States

    4 publications · 345 citations

    4

    h-index

  5. FN
    Faisal Nadeem Khan

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 112 citations

    4

    h-index

1–5 of 382

Venues

  1. Optics Express

    8 publications · 365 citations

    8

    h-index

  2. Optics Letters

    6 publications · 382 citations

    6

    h-index

  3. 4

    h-index

  4. Electronics Letters

    4 publications · 185 citations

    4

    h-index

  5. IEEE Transactions on Automatic Control

    2 publications · 87 citations

    2

    h-index

1–5