Site Map Register Lost Password Alerts Systems Status   Web logs: News Risk Commentary   Login >

Risk Management and Portfolio Analysis

On-Line Credit Risk Portfolio Model

RCRT Home > Risk Management > On-Line Model rss feed
 
Page Navigator
 RCRT Home
   About Us
   Our Services
   Our Software
   News & Updates
    Risk Management
      Risk Principles
      Portfolio Analysis
      Economic Capital
      Portfolio Statistics
      On-Line Model
      Basel-2
   Grid Computing
   About This Site
   Presentations
   Documents
   On-Line Tools
   Information
   Contact Us
   Downloads
   Your Account
   Site Auditor
 
 
Other Links
Post A Message
 
 
Site Hits: 388114 Pages
From: 252863 Sessions

Model Inputs

Computed Results

Number of Obligors: Iterations:
Exposure per Obligor: Events in plot range:
Probability of Default: Expected Loss:
R Coefficient: 95% Confidence level:
Number of Iterations: 95% Conditional Loss:
  

Model Instructions - Portfolio Analysis

  1. Enter the required values into the input fields on the left of the page.
    -  These fields are pre-filled with some sensible default values.
  2. The 'R' coefficient determines the correlation between obligors' default behaviour.
    -  This coefficient must lie between zero and one. A value of zero causes obligors to behave independently, a larger value induces correlated default behaviour, which is a principal cause of risky 'fat-tailed' loss distributions.
  3. Press the 'Run Model' button to start the calculations.
    -  Graphical and numerical model results will be displayed on the screen.
  4. The browser display will be updated every few seconds while the model is running

Notes

  1. This is a simple model for the purposes of demonstration and illustration only.
    -  For example, this can be used to investigate the effects of changing the different model input parameters.
  2. The model simulates the impact of default events, it does not include 'upgrade'/'downgrade' events.
  3. The model assumes a (deterministic) loss given default of 100% in all cases.
  4. This model runs entirely within your web browser, it does not use any of our server-based analytics.
    -  The model will only run if your browser has 'scripting' enabled.
  5. I have used some advanced browser scripting techniques to implement this demonstration, which has been tested on a range of 'modern' web browsers. However, if you encounter any problems, please contact me with details:

ps. You spent how much? on a system to do these calculations.

 
© Risk-Capital Research and Technology | Site Map | Legal Info | Accessibility | About This Site