Abstract

Insurance companies use conservative first order valuation bases to calculate insurance premiums and reserves. These valuation bases have a significant impact on the insurer’s solvency and on the premiums of the insurance products. Safety margins for systematic biometric and financial risk are in practice typically chosen as time-constant percentages on top of the best estimate transition intensities. We develop a risk-oriented method for the allocation of a total safety margin to the single safety margins at each point in time and each state. In a case study, we demonstrate the suitability of the proposed method in different frameworks. The results show that the traditional method yields an unwanted variability of the safety level with respect to time, whereas the variability can be significantly reduced by the new method. Furthermore, the case study supports the German 60 percent rule for the technical interest rate.

Highlights

  • Before the current low-interest period, the interest surplus often dominated all other surplus sources of insurance companies such that, in particular, the surplus from the biometric risk was considered to be negligible

  • We propose a sophisticated method for the calculation of a first order valuation basis with respect to the systematic biometric risk and the interest rate risk

  • The paper proposes a risk-oriented method for the allocation of the total safety margin to different points in time and transitions

Read more

Summary

Introduction

Before the current low-interest period, the interest surplus often dominated all other surplus sources of insurance companies such that, in particular, the surplus from the biometric risk was considered to be negligible. We propose a sophisticated method for the calculation of a first order valuation basis with respect to the systematic biometric risk and the interest rate risk. Essential for this calculation is the decomposition of the total reserve according to the different risk sources. The main contribution of our paper is the derivation of an allocation method for the total safety margin to the different risk sources and different points in time. This is done in a joint framework for biometric and interest rate risk.

Semi-Markov Model and Risk Decomposition
Then we define the present value of all insurance benefits and premiums as
Safety Margins for Systematic Biometric and Financial Risk
Markov Model for Disability Insurance with Interest Rate Risk
First Order Transition Rates
Loss Probabilities and Expected Losses
Empirical Densities of the Surplus
First Order Transition and Interest Rates
Sensitivity Analysis of the First Order Interest Rate
Semi-Markov Invalid-Dead Model
Conclusions
Findings
16. DAV-Unterarbeitsgruppe Todesfallrisiko
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.