Spurious Autocorrelation

Spurious Autocorrelation is an apparent temporal dependence in a time series that arises not from genuine underlying autocorrelative dynamics but from structural artifacts such as model misspecification, omitted variables, or nonstationarity, thereby mimicking autocorrelation where none truly exists.

66

Publications

5.5K

Citations

131

Authors

94

Institutions

Publications per year

2017–2026

9

Authors

131

  1. CR
    Charles R. Nelson

    University of Washington, United States

    4 publications · 778 citations

    4

    h-index

  2. HK
    Heejoon Kang

    Indiana University Bloomington, United States

    4 publications · 778 citations

    4

    h-index

  3. SS
    Sergei Sarkissian

    McGill University, Canada

    3 publications · 711 citations

    3

    h-index

  4. RR
    Richard R. Simonds

    Michigan State University, United States

    3 publications · 290 citations

    3

    h-index

  5. WE
    Wayne E. Ferson

    National Bureau of Economic Research, United States

    3 publications · 711 citations

    3

    h-index

1–5 of 131

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 129 citations

    4

    h-index

  2. The Journal of Finance

    3 publications · 849 citations

    3

    h-index

  3. Econometrica

    2 publications · 304 citations

    2

    h-index

  4. Statistics & Probability Letters

    2 publications · 83 citations

    2

    h-index

  5. Journal of Econometrics

    2 publications · 315 citations

    2

    h-index

1–5