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Simon Tranberg Bodilsen

Biographic Data

ID6522370
NAMESimon Tranberg Bodilsen
GIVEN NAMESSimon Tranberg
FAMILY NAMEBodilsen
SIGNATUREBODILSEN S T
AFFILIATIONSAarhus University
ORCID0000-0002-6735-8475
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Measuring employment readiness for hard-to-place individuals

    Open Access•Simon Tranberg Bodilsen, Søren Albeck Nielsen et al.•ARTICLE•Humanities and Social Sciences…•2025

    In an era characterized by population aging and economic challenges in welfare states across the world, sustaining these welfare systems requires a large workforce. Many long-term unemployed individuals, receiving social assistance and only marginally attached to the labor market, aspire to work but encounter a labyrinth of obstacles. While various activation programs are available to unemployed individuals, their effectiveness in helping those w…

  • Exploiting News Analytics for Volatility Forecasting

    Open Access•Simon Tranberg Bodilsen, Asger Lunde•ARTICLE•Journal of Applied Econometrics•2025

    This study investigates the potential of news sentiment in predicting stock market volatility. We augment traditional time series models of realized volatility with the sentiment of macroeconomic and firm‐specific news. Our results demonstrate that incorporating the sentiment of domestic macroeconomic news significantly improves volatility predictions for individual stocks and the S&P 500 Index. Notably, we find substantial enhancements in long‐h…

  • Ethical considerations in research when building predictive risk modelling in child and family welfare

    Open Access•Anne Marie Villumsen, Michael Rosholm et al.•ARTICLE•Journal of Comparative Social Work•2024

    This article presents and discusses ethical issues and implications in research when building a predictive risk model for potential use in Danish child and family welfare. The idea is to build a predictive risk model in order to study whether such a model can be valuable to child and family welfare services in the assessment of risk – aimed specifically at the decision-making process regarding notifications. Based on a framework developed especia…

No prominent works on this page.

  • Ethical considerations in research when building predictive risk modelling in child and family welfare

    Open Access•Anne Marie Villumsen, Michael Rosholm et al.•ARTICLE•Journal of Comparative Social Work•2024

    This article presents and discusses ethical issues and implications in research when building a predictive risk model for potential use in Danish child and family welfare. The idea is to build a predictive risk model in order to study whether such a model can be valuable to child and family welfare services in the assessment of risk – aimed specifically at the decision-making process regarding notifications. Based on a framework developed especia…

  • Measuring employment readiness for hard-to-place individuals

    Open Access•Simon Tranberg Bodilsen, Søren Albeck Nielsen et al.•ARTICLE•Humanities and Social Sciences…•2025

    In an era characterized by population aging and economic challenges in welfare states across the world, sustaining these welfare systems requires a large workforce. Many long-term unemployed individuals, receiving social assistance and only marginally attached to the labor market, aspire to work but encounter a labyrinth of obstacles. While various activation programs are available to unemployed individuals, their effectiveness in helping those w…

  • Exploiting News Analytics for Volatility Forecasting

    Open Access•Simon Tranberg Bodilsen, Asger Lunde•ARTICLE•Journal of Applied Econometrics•2025

    This study investigates the potential of news sentiment in predicting stock market volatility. We augment traditional time series models of realized volatility with the sentiment of macroeconomic and firm‐specific news. Our results demonstrate that incorporating the sentiment of domestic macroeconomic news significantly improves volatility predictions for individual stocks and the S&P 500 Index. Notably, we find substantial enhancements in long‐h…

Computer Science (2 works) · Psychology (2 works) · Analytics (1 work) · Autonomy (1 work) · Computer security (1 work) · Data science (1 work) · Econometrics (1 work) · Economic Justice (1 work) · Economics (1 work) · Education, Healthcare and Sociology Research (1 work)

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