• Media type: E-Book
  • Title: Bayesian Value at Risk Metrics for Equity Portfolios
  • Contributor: Hendries, Eric [Author]; Huang, Jun [Other]; Li, Rachel [Other]; Li, Xiao [Other]; Qi, Yiyang [Other]; Sajer, Helene [Other]; Taylor, Stephen Michael [Other]; Zerolis, John [Other]
  • Published: [S.l.]: SSRN, [2017]
  • Extent: 1 Online-Ressource (17 p)
  • Language: English
  • DOI: 10.2139/ssrn.2490240
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 1, 2014 erstellt
  • Description: We develop a Bayesian framework for estimating high quantiles of the relative return loss distribution of equity portfolios. This framework allows for the incorporation of both quantitative data via a parametric model for the loss distribution as well as qualitative information, specified independent of the data, by the choice of a prior distribution over the model parameters. We apply these methods in the case of one and two dimensional models to estimate distribution parameters and associated error bounds from which 99% VaR values are estimated. Finally, we systematically apply our framework to four test portfolios, compute summary statistics related to model performance, and report the results
  • Access State: Open Access