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Pricing Excess Layers in Commercial Insurance Use of Simulation

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Functioning of the Insurance Principle. Risk Bearing and Risk Sharing. Insurance Operation is Expensive ... Homeowners. Characteristics of Commercial Exposures ... – PowerPoint PPT presentation

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Title: Pricing Excess Layers in Commercial Insurance Use of Simulation


1
Pricing Excess Layers in Commercial Insurance --
Use of Simulation
  • Manalur Sandilya
  • Max Europe Holdings Ltd

2
Preliminaries
  • Quick review of two common methods
  • Pure Premium Method
  • Loss ratio method
  • Output -- Pricing manuals
  • Relatively Easy to Use at Point of Sale
  • Underwriting Issues

3
Applicability of Standard Methods
  • Two Important Considerations --
  • Moral Hazard
  • Anti Selection
  • Question -- how to avoid
  • Theory -- underwriting selection
  • Practice -- size of the exposure

4
Applicability of Standard Methods
  • Homogenous data
  • Existence of Valid Mean and Variance
  • Credibility of data
  • Functioning of the Insurance Principle
  • Risk Bearing and Risk Sharing
  • Insurance Operation is Expensive
  • Value to the Insured

5
Applicability of Standard Methods
  • Large market
  • Similar Risks
  • Measurability
  • Insurability
  • Motor
  • Homeowners

6
Characteristics of Commercial Exposures
  • Small Commercial -- Main Street Commercial --
    Standard methods workable
  • Middle Commercial -- standardization is becoming
    difficult
  • Large Commercial -- standardization is almost
    impossible

7
Characteristics of Excess Layers
  • Very low Frequency
  • High Severity
  • Data will not be credible
  • Exposure comparison may be invalid
  • Risk bearing or Risk Sharing -- cannot really
    distinguish between the two
  • Working Layer and Excess Layer

8
Characteristics of Excess Layers
  • Self Insured Retention
  • Aggregate Retention
  • Attachment
  • Drop-down
  • Single or multi tower
  • Vertical or Horizontal cover

9
Review Pricing Basics
  • Expected Loss Cost
  • Distribution
  • Risk Load
  • Cost of Capital
  • Market Forces
  • Available methods to estimate the different pieces

10
Frequency Severity
  • Primary Relationship
  • Estimation Strategies
  • Theoretical Approaches
  • Limitations
  • Complexity
  • Simple Example
  • Simulation

11
Severity
  • Distributions
  • Extreme Distributions
  • Cupolas
  • How simulation can be used to simplify the
    various combinations
  • Fitting/Selection -- Theory/Art/Practice

12
Frequency
  • Dependent or Independent
  • Statistical or Practical sense
  • Essentially conditional Distributions
  • Goodness of Fit issues
  • Layers of interest
  • Practical consideration -- need a robust
    estimate for the layer under consideration

13
Risk Premium
  • Variance Approach
  • Cost of Capital Approach
  • Other Variable Costs

14
Worked Example
  • Problem Statement
  • Basic Assumptions
  • Simple Situations
  • Increased Complexity
  • Simulation Exercise

15
Conclusion
  • Typical Exposures
  • Implementation Issues
  • Level of Expertise
  • Working with Underwriters
  • Questions
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