Volatility Decomposition

Volatility Decomposition is a methodological framework in financial econometrics that parses aggregate volatility into distinct components attributable to different sources of variation, such as persistent trends, transient shocks, or structural breaks, thereby enabling the analysis of their relative contributions to overall market fluctuations.

230

Publications

22.8K

Citations

493

Authors

359

Institutions

Publications per year

2017–2026

71

Authors

493

  1. KE
    Karen E. Dynan

    Harvard University Press, United States

    4 publications · 434 citations

    4

    h-index

  2. KY
    Kamil Yılmaz

    Koç University, Türkiye

    4 publications · 10.7K citations

    4

    h-index

  3. FX
    Francis X. Diebold

    University of Pennsylvania, United States

    4 publications · 10.7K citations

    4

    h-index

  4. DE
    Daniel E. Sichel

    Federal Reserve Board of Governors, United States

    4 publications · 434 citations

    4

    h-index

  5. DW
    Douglas W. Elmendorf

    Federal Reserve Board of Governors, United States

    4 publications · 434 citations

    4

    h-index

1–5 of 493

Venues

  1. SSRN Electronic Journal

    Repository · 29 publications · 2K citations

    16

    h-index

  2. 12

    h-index

  3. Journal of Empirical Finance

    8 publications · 183 citations

    8

    h-index

  4. International Review of Financial Analysis

    IRFA · 7 publications · 497 citations

    7

    h-index

  5. Journal of Econometrics

    7 publications · 4.8K citations

    7

    h-index

1–5