Risk-adjusted Forecasting

Risk-Adjusted Forecasting is a forecasting method that incorporates probabilistic risk assessments and uncertainty quantification into projected performance metrics to dynamically refine estimates of future outcomes in the context of Variance At Completion.

31

Publications

2.6K

Citations

58

Authors

54

Institutions

Publications per year

2017–2026

2

Authors

58

  1. MP
    Monika Piazzesi

    University of Chicago, United States

    4 publications · 621 citations

    4

    h-index

  2. ET
    Eric T. Swanson

    University of California, Irvine, United States

    4 publications · 621 citations

    4

    h-index

  3. PP
    Patrizio Pagano

    Bank of Italy, Italy

    3 publications · 316 citations

    3

    h-index

  4. MP
    Massimiliano Pisani

    Bank of Italy, Italy

    3 publications · 316 citations

    3

    h-index

  5. XZ
    Xiaoyan Zhang

    Tsinghua University, China

    2 publications · 909 citations

    2

    h-index

1–5 of 58

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 391 citations

    6

    h-index

  2. The Journal of Fixed Income

    3 publications · 63 citations

    3

    h-index

  3. Journal of Monetary Economics

    2 publications · 439 citations

    2

    h-index

  4. The Journal of Finance

    2 publications · 52 citations

    2

    h-index

  5. The Journal of Portfolio Management

    JPM · 2 publications · 41 citations

    2

    h-index

1–5