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The structural modeling of operational risk via Bayesian inference: combining loss data with expert opinions
4 references·15 citing·34 second hop
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this work references cited by second hop

References

  • 2005Quantitative Risk Management: Concepts, Techniques, and Tools2,201 cited
  • 1999Loss Models: From Data to Decisions1,232 cited
  • 2006Quantitative models for operational risk: Extremes, dependence and aggregation265 cited
  • 2003Common Poisson Shock Models: Applications to Insurance and Credit Risk Modelling216 cited

Cited by

  • 2007The Quantitative Modeling of Operational Risk: Between G-and-H and EVT125 cited
  • 2007The quantification of operational risk using internal data, relevant external data and expert opinion68 cited
  • 2016It’s not now or never: Implications of investment timing and risk aversion on climate adaptation to extreme events42 cited
  • 2009Implementing loss distribution approach for operational risk41 cited
  • 2009Dynamic operational risk: modeling dependence and combining different sources of information38 cited
  • 2007Addressing the impact of data truncation and parameter uncertainty on operational risk estimates36 cited
  • 2011Assessing Uncertainty and Risk in Public Sector Investment Projects35 cited
  • 2021Do operational risk and corporate governance affect the banking industry of Pakistan?32 cited
  • 2007Simulation of the annual loss distribution in operational risk via Panjer recursions and Volterra integral equations for value-at-risk and expected shortfall estimation32 cited

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2020
Predictive compound risk models with dependence
30 cited
  • 2009The net Bayes premium with dependence between the risk profiles30 cited
  • 2013Expected Shortfall Estimation and Gaussian Inference for Infinite Variance Time Series26 cited
  • 2010A review of the key issues in operational risk capital modeling25 cited
  • 2010A knowledge based approach to loss severity assessment in financial institutions using Bayesian networks and loss determinants18 cited
  • 2016Bounded, Sigmoid Utility for Insurance Applications0 cited