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Risk Management Solutions
Quantification PDF Print E-mail

Losses, incidents or event cases are the basis for the calculation of the loss distribution of a bank or insurance firm. Quantification Module supports the Basel Committee „Advanced Measurement Approach“ and is versatile to support ERM measures of risk.

Functionality provides for estimation of adequate distribution functions and risk measures (e.g. VaR) for the regulatory combinations of business lines and event types or for areas set up internally. Also supported is the definition of a standardized procedure for the extension of the internal database by external loss data. For sparse or lack of data, expert estimation of a suitable loss distribution (Quantitative Self Assessment) is available.

Results from the supervision of Key Risk, Control, Performance Indicators or the Assessments can also be used as conditioning information.

Features

  • 100% integrated at database level: no data extraction, transfer or manipulation
  • Graphical analysis of the loss severity (QQ-Plot, ME-Plot)
  • Frequency estimation : Poisson, Negative Binomial, Binomial, Geometric
  • Severity estimation : Lognormal, Normal, Weibull, Exponential, Gamma, Pareto, Generalized Pareto, Piece-wise Uniform
  • Monte Carlo Simulation of the total loss distribution
  • Calculation of Value-at-Risk, economic capital and expected shortfall
  • Expert estimation of the loss distribution
  • Combination of data and expert estimation
  • Inclusion of insurance
  • Loss frequency conditional on ratings from the modules KRI or SAM
  • Monte Carlo Simulation of conditional loss distribution (Scorecard Approach)
  • Sensitivity analysis
  • Aggregation of the loss distribution
 
Risk Management Solutions
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Risk Management Solutions
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