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Laura Reh

Datos Biográficos

ID8920700
NOMBRELaura Reh
NOMBRESLaura
APELLIDOReh
FIRMAREH L
AFILIACIONESUniversity of Cologne
ORCID0000-0002-8083-0535
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • Predicting the Global Minimum Variance Portfolio

    Laura Reh, Fabian Krüger et al.•ARTICLE•Journal of Business and Economic…•2023

    We propose a novel dynamic approach to forecast the weights of the global minimum variance portfolio (GMVP) for the conditional covariance matrix of asset returns. The GMVP weights are the population coefficients of a linear regression of a benchmark return on a vector of return differences. This representation enables us to derive a consistent loss function from which we can infer the GMVP weights without imposing any distributional assumptions …

Sin obras prominentes en esta página.

  • Predicting the Global Minimum Variance Portfolio

    Laura Reh, Fabian Krüger et al.•ARTICLE•Journal of Business and Economic…•2023

    We propose a novel dynamic approach to forecast the weights of the global minimum variance portfolio (GMVP) for the conditional covariance matrix of asset returns. The GMVP weights are the population coefficients of a linear regression of a benchmark return on a vector of return differences. This representation enables us to derive a consistent loss function from which we can infer the GMVP weights without imposing any distributional assumptions …

Autoregressive conditional heteroskedasticity (1 obra) · Autoregressive model (1 obra) · Complex Systems and Time Series Analysis (1 obra) · Conditional expectation (1 obra) · Conditional variance (1 obra) · Covariance matrix (1 obra) · Econometrics (1 obra) · Economics (1 obra) · Finance (1 obra) · Financial Markets and Investment Strategies (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae