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The Value of non enforceable Future Premiums in Life Insurance

The Value of non enforceable Future Premiums in Life Insurance. Pieter Bouwknegt AFIR 2003 Maastricht. Outline. Problem Model Results Applications Conclusions. Problem Legal. The policyholder can not be forced to pay the premium for his life policy

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The Value of non enforceable Future Premiums in Life Insurance

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  1. The Value of non enforceable Future Premiums in Life Insurance Pieter Bouwknegt AFIR 2003 Maastricht

  2. Outline • Problem • Model • Results • Applications • Conclusions

  3. ProblemLegal • The policyholder can not be forced to pay the premium for his life policy • Insurer is obliged to accept future premiums as long as the previous premium is paid • Insurer is obliged to increase the paid up value using the original tariff rates • Asymmetric relation between policyholder and insurer

  4. ProblemEconomical • The value of a premium can be split in two parts • The value of the increase in paid up insured amount minus the premium • The value to make the same choice a year later • Valuation first part is like a single premium policy • Valuation second part is difficult, as you need to value all the future premiums in different scenarios

  5. ProblemInclude all future premiums? • One can value all future premiums if it were certain payments: use the term structure of interest • With a profitable tariff this leads to a large profit at issue for a policy • However: can a policy be an asset to the insurer? • If for a profitable policy the premiums stop, a loss remains for the insurer • Reservation method can be overoptimistic and is not prudent

  6. ProblemExclude all future premiums? • Reserve for the paid up value, treat each premium as a separate single premium • No profit at issue (or only the profit related with first premium) • A loss making tariff leads to an additional loss with every additional premium • A loss making tariff is not recognized at once • Reservation method can be overoptimistic and is not prudent

  7. ModelIntroduce economic rational decision • TRm,t = PUm,t. SPm,tBE +max(PPm,t + FVm,t;0) • TRm,t = technical reserves before decision is made • PUm,t = paid up amount • SPm,t= single premium for one unit insured amount • PPm,t = direct value premium payment • FVm,t = future value of right to make decision in a year • VPm,t = max(PPm,t + FVm,t;0) • PPm,t = ΔPUm . SPm,t - P • FVm,t = 1px+m . EtQ[{exp(t,t+1)r(s)ds}VPm+1,t+1]

  8. ModelTree problem • The problem looks like the valuation of an American put option • Use an interest rate tree consistent with today’s term structure of interest (arbitrage free) • Start the calculation with the last premium payment for all possible scenario’s • Work back (using risk neutral probabilities) to today • Three types of nodes

  9. ModelBuilding a tree • Trinomial tree (up, middle, down) • Time between nodes free • Work backwards Last premium Normal Normal Premium Normal Normal

  10. ModelLast premium node • In nodes where to decide to pay the last (nth) premium Vj,t=MAX (ΔPUn,t . SPj,t - P ; 0) • Premium at j+1 will be passed; others paid Vj+1,t+1 Don’t pay: 0 Vj,t+1 Pay: >0 Vj-1,t+1 Pay: >0

  11. ModelNormal node • Value the node looking forward • Number of normal nodes depends on stepsize • Vj,t = Δtpx. e-rΔt . (pu Vj+1,t+1 + pm Vj,,t+1 +pd Vj-1,,t+1) Vj+1,t+1 Normal or premium node pu Normal or premium node Vj,t+1 Normal node Vj,t pm pd Vj-1,t+1 Normal or premium node

  12. ModelPremium node (example values) • Value premium Current Future Node -4 1 0 Market>tariff Do not pay -1 2 1 Market>tariff Pay premium 2 3 5 Market<tariff Pay premium

  13. ModelPremium node (except last premium) • Decide whether to pay the premium • Vj,t = MAX (ΔPUm,t . SPj,t - P + Δtpx. e-rΔt . (pu Vj+1,t+1 + pm Vj,,t+1 +pd Vj-1,,t+1) ; 0) Vj+1,t+1 Normal node pu Vj,t+1 Vj,t Premium node Normal node pm pd Vj-1,t+1 Normal node

  14. ResultsInitial policy • Policy is a pure endowment, payable after five years if the insured is still alive • Insured amount € 100 000 • Annual mortality rate of 1% • Tariff interest rate at 5% • Five equal premiums of € 16 705,72

  15. ResultsValue of premium payments • If the value of a premium VP is nil then do not pay • If it is positive then one should pay • A high and low interest scenario in table (zn is zerorate until maturity, m is # premium)

  16. ResultsRelease of profit • When tariffrate<market rate: no release at issue • When tariffrate>market rate: full loss at issue • If interest rates drop below tariff rate a loss arises due to the given guarantee on future premiums • If a premium is paid and the model did not expect so, a profit will arise, attributable to “irrational behavior” • The behavior of the policyholder can not become more negative then expected

  17. ResultsIn or out of the money • A simple model is to consider the value of all future premiums together and the insured amounts connected to them • If the future premiums are out of the money (value premiums exceeds the value of the insured amount) then exclude all premiums from calculations • If the future premiums are in the money (value premiums lower then the value of the insured amount) then include all premiums in calculations • This model gives essentially the same results

  18. ApplicationsMortality (model) • Assume best estimate (BE) mortality differs from tariff: qxBE =  qxtariff • Standard mortality formulas npx • When  is small: healthy person • Policy (pure endowment) is more valuable to the policyholder, because he “outperforms” the tariff mortality • When  is large: sick person • Policy (pure endowment) is less valuable to the policyholder, he must be compensated with higher profit on interest

  19. ApplicationsMortality (EEB) • Search for Early Exercise Boundary: the line above which premium payment is irrational

  20. ApplicationsPaid up penalty (model) • Assume that the paid up value of the policy is reduced with a factor  when the premium is not paid • Value reduction when the mth premium is the first not to be paid:  . PUm,t . SPm,t • Decision: max(PPm,t + FVm,t;-  . PUm,t . SPm,t) • Value in force policy can be lower than paid up value

  21. ApplicationsPaid up penalty (EEB) • Study different values for  and early exercise boundary

  22. Conclusions • Valuation of future premiums should be considered • Economic rationality introduces prudent reservation • Important influence on the release of profit • Use of trees is complicated and time consuming • In/out of the money model gives roughly same results • Possible to study behavior of policyholder using economic rationality concept

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