Multivariate Stochastic Volatility

Multivariate Stochastic Volatility is a statistical modeling framework that extends univariate stochastic volatility models by characterizing the time-varying variances and covariances of multiple financial time series through latent volatility processes governed by a joint stochastic structure.

266

Publications

21.4K

Citations

460

Authors

347

Institutions

Publications per year

2017–2026

65

Variants

Msv

Authors

460

  1. NS
    Neil Shephard

    University of Oxford, United Kingdom

    9 publications · 2.3K citations

    9

    h-index

  2. FX
    Francis X. Diebold

    University of Pennsylvania, United States

    8 publications · 5.6K citations

    8

    h-index

  3. MM
    Michael McAleer

    Erasmus University Rotterdam, Netherlands

    7 publications · 592 citations

    7

    h-index

  4. CG
    Christian Gouriéroux

    University of Toronto, Canada

    7 publications · 770 citations

    7

    h-index

  5. MA
    Manabu Asai

    Soka University, Japan

    6 publications · 241 citations

    6

    h-index

1–5 of 460

Venues

  1. SSRN Electronic Journal

    Repository · 22 publications · 1.6K citations

    15

    h-index

  2. Journal of Econometrics

    17 publications · 6.4K citations

    15

    h-index

  3. Econometric Reviews

    14 publications · 730 citations

    12

    h-index

  4. 11

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 10 publications · 642 citations

    10

    h-index

1–5