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Purpose of the research                        The one-region model                        The two-region model




                            Natural Catastrophe Insurance
                          How Should Government Intervene?

                                           Benoît LE MAUX
                                         Université de Rennes 1
                                             CREM-CNRS
                                           Condorcet Center
                                       Arthur CHARPENTIER
                                         Université de Rennes 1
                                             CREM-CNRS
                                          Ecole Polytechnique


                Public Choice Societies - World Meeting, March 9-11, 2012


                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




The problem


              Both the frequency and strength of natural catastrophes such as
              hurricanes, oods and droughts have increased during the past few years
              (Intergovernmental Panel on Climate Change, 2007).
              This trend could endanger the viability of the insurance and reinsurance
              industry.
              Between 1969 and 1998, 36 US insurers became insolvent primarily as a
              result of catastrophe losses. Of these companies, 20 became insolvent
              between 1989 and 1993, the same time period as Hurricane Hugo
              (Matthews, 1999).

              The present paper aims to investigate these failures by developing a
              model of natural catastrophe insurance market and evaluating the ways
              the government can intervene.


                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




Two important issues


              Purely private market: only policyholders at risk have to deal with their
              insurer's insolvency.
              Government program: policyholders participate to a collective sharing
              practice based on solidarity from the taxpayers.
              No formal study has ever been undertaken to compare these two
              possible alternatives.

              Large insurance companies can pool the risks with independent risks
              from other regions (Cummins, 2006; Charpentier,2008).
              As the largest entity in a given jurisdiction, the government would be the
              most eective agency for spreading risks and losses (Priest, 1996).
              Are taxpayers from less risky regions willing to show solidarity with
              taxpayers from riskier regions ? This is especially relevant if we want to
              build an insurance program that is politically viable in the long run.

                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




Two models

      One-region model
      Natural risks are correlated, i.e., may imply a considerable number of claims at
      the same time. An insurer may have a non-zero probability of insolvency
      depending on
          1 the distribution of the risks (Kunreuther, 2001),
          2 the premium rate (Tapiero et al., 1986),
          3 the amount of capital in the company (Charpentier, 2008).

      Two-region model
              The participation of a region can strongly inuence the solvency of a
              public program, as well as the indemnities received and the amount of
              additionnal taxes.
              We extend our theoretical framework by focusing on a simultaneous
              non-cooperative game combining two regions with heterogeneous natural
              risks.

                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




Theoretical framework

              Population: n
              Natural events: cause a loss l to N individuals.
              Share of population claiming a loss: X = N .
                                                         n
              Distribution of X : depends on the probability p for each individual to
              claim a loss and the correlation δ between the individual risks.

                                                                  x
                             F = F (x |p , δ) = F (x ) =              f (t )dt ∈ [0; 1]
                                                              0
              δ : determines the total number of people that will be claiming a loss at
              the same time.
              p : represents the odds for each individual to be one of the victims.
              The inhabitants will decide simultaneously whether or not to pay full
              insurance coverage.
              Premium=α ; Capital per policy of the insurance company=c

                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                               The one-region model                        The two-region model




Supply of insurance


      Probability of insolvency
      The insurer becomes insolvent when it is not possible to pay the full coverage
      l to the victims anymore, i.e., when the total losses (Nl ) become higher than
      the total revenue (nα) and the total economic capital (nc ).
                                                                    α+c
                            P (Nl  nα + nc ) = P X      = 1 − F (¯)
                                                                    x
                                                     l
      where x = (α + c )/l denotes the largest possible event without default.
            ¯


      Expected prot of the company
                                                  x
                                                  ¯
                          Π(c , α, p , δ) =           [nα − xnl ] f (x )dx − [1 − F (¯)]cn.
                                                                                     x
                                              0



                    Benoît Le Maux, Arthur Charpentier           Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                           The one-region model                               The two-region model




Demand for insurance

      Scenario with limited liability (i.e. no government intervention)

                                 1                                              1
       V (c , α, p , δ) =            xU (−α − l + I (x ))f (x )dx +                 (1 − x )U (−α)f (x )dx ,
                             0                                              0
      with I (X ) = c +α = reduced indemnity in case of insolvency.
                      X

      Scenario with unlimited guarantee from the government
                                                       1
                            V (c , α, p , δ) =             U (−α − T (x ))f (x )dx .
                                                   0
      T (X ) = Xl − α − c = tax to compensate the default of payment.

      An agent will buy insurance if V (c , α, p , δ) ≥ pU (−l ) + (1 − p )U (0). Let
      denote α∗ the WTP for insurance.

                    Benoît Le Maux, Arthur Charpentier            Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




The role of capital requirements


      ∂Π
      ∂c
          0: An increase in the capital will increase the exposition of the
      shareholders to industry failure.


        c  0: The WTP for an insurance contract is a positive function of the
       ∂α∗
        ∂
      company's capital. The company can consequently increase the price of a
      contract.

      The decision to increase the capital requirements depends on the demand
      sensitivity to insurers' capital resources.

      Other possibilities: capital market instruments such as CAT bonds or CAT
      options, creation of tax-deferred catastrophe reserves (Kousky, 2011).



                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




A regulated premium


      Private insurers advocate high levels of premium when faced with natural
      disasters.

       ∂Π
       ∂α
             0: The higher the premium, the higher the expected prots.


      However, the WTP for a catastrophe coverage is a negative function of δ ,
      because correlated risks imply a higher default risk.

      Given this controversial impact, a regulated price cannot be of any use, unless
      the idea is to solve the market ineciencies due to imperfect competition and
      imperfect information (see, e.g., Epple and Schäfer, 1996; Jaee and Russell,
      1997).



                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




Unlimited guarantee from the government


      Coverage does not exist for too risky areas (e.g., ood insurance in the US).
      Such problems are usually solved by the creation of government programs.

      Because an unlimited guarantee insurance allow to spread the risks equally
      among the policyholders, the WTP for insurance is higher with government
      intervention.

      Consequence: the insurer can put forward higher premiums, which will reduce
      the insolvency probability, lead to higher expected prots, and could
      guarantee the existence of a catastrophe coverage.

      Question: does this result hold in a two-region economy with heterogenous
      risks?


                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                                 The one-region model                                     The two-region model




Theoretical framework


      Settings
              Two populations: n1 and n2 living in two dierent jurisdictions
              Natural events: cause a loss l to Ni inhabitants in Region i , i = 1, 2.
              Share of people claiming a loss in the total population: X0 = N1 +n22
                                                                                n
                                                                                 1 +N

              The distribution of X0 depends on a new parameter : θ, the
              between-correlation:
                                        X0 ∼= F0 (x0 |p , δ1 , δ2 , θ) = F0 (x0 ),

                                                        Insure                                              Don't
              Insure      V1 (c , α1 , α2 , p, δ1 , δ2 , θ), V2 (c , α1 , α2 , p, δ1 , δ2 , θ)   V1 (c , α1 , p, δ1 ), pU (−l )
              Don't                         pU (−l ), V2 (c , α2 , p, δ2 )                            pU (−l ), pU (−l )




                    Benoît Le Maux, Arthur Charpentier                  Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                                   The one-region model                                           The two-region model




Set of Nash Equilibria
                                     ‫כ‬       ‫ככ‬                                                     ‫כ‬             ‫ככ‬
                હ૛                  αଵ      αଵ ሺαଶ ሻ                         હ૛                    αଵ            αଵ ሺαଶ ሻ


                                                                                                                              α‫ ככ‬ሺαଵ ሻ
                                                                                                                               ଶ
                                                            α‫ ככ‬ሺαଵ ሻ
                                                             ଶ                                               Q
                                   P                        α‫כ‬                                                                α‫כ‬
                                                             ଶ                                                                 ଶ
                                        Q                                                            P



            0                                               હ૚           0                                                     હ૚
                         ሺaሻ Starting situation: Q=P                              ሺbሻ Decreasing between-correlation


                           ‫ככ‬       ‫כ‬                                                  ‫כ‬      ‫ככ‬
                હ૛        αଵ ሺαଶ ሻ αଵ                                        હ૛       αଵ     αଵ ሺαଶ ሻ




                                    P                       α‫כ‬                                                                α‫כ‬
                                                             ଶ                                                                 ଶ
                                                                                     P
                                                             α‫ ככ‬ሺαଵ ሻ                                                        α‫ ככ‬ሺαଵ ሻ
                                                                                                                                ଶ
                                                              ଶ
                            Q                                                                Q

            0                                               હ૚                                                                 હ૚
                     ሺcሻ Increasing between-correlation                       ሺdሻ Increasing within-correlation in Region 1



                      Benoît Le Maux, Arthur Charpentier                     Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




A government program should be priced appropriately


                                             Region 1 Region 2        Region 3   Regions 1+2      Regions 1+3
        Loss per inhabitant in Year 1            5            65         35           35               20
        Loss per inhabitant in Year 2           95            35         65           65               80
        Average of annual losses (p)            50            50         50           50               50
        Variance of annual losses (δ)          2025          225        225          225              900
        Pearson correlation coecient (θ)                                             -1              +1
        a The number of inhabitants is the same in each region.




      The rates of a government program should be computed based not only on the
      level of risks (p ), i.e., on the expected losses (a basic actuarial principle), but
      also on how the risks are correlated within and between the regions (δ and θ),
      i.e., on the variance of the losses (which has never been applied to our
      knowledge).

      In particular, government ocials must be prepared to announce rates lower
      than usual to attract low-correlation regions.

                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012
Purpose of the research                        The one-region model                        The two-region model




Conclusion


              Compared to a purely private market, the chance of failure of a
              government program should be reduced.
              Risk-averse policyholders will accept to pay higher rates for an unlimited
              guarantee insurance, thus reducing the probability of insolvency.
              To limit the protests of the less correlated areas, these rates should be
              computed based on how the risks are correlated within and between the
              jurisdictions involved.

      Future research
      There are several problems of related interest                  which were not examined
      in the present paper:
              The inuence of risk mitigation
              The role of bounded rationality in insurance decisions.

                    Benoît Le Maux, Arthur Charpentier    Public Choice Societies - World Meeting, March 9-11, 2012

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  • 1. Purpose of the research The one-region model The two-region model Natural Catastrophe Insurance How Should Government Intervene? Benoît LE MAUX Université de Rennes 1 CREM-CNRS Condorcet Center Arthur CHARPENTIER Université de Rennes 1 CREM-CNRS Ecole Polytechnique Public Choice Societies - World Meeting, March 9-11, 2012 Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 2. Purpose of the research The one-region model The two-region model The problem Both the frequency and strength of natural catastrophes such as hurricanes, oods and droughts have increased during the past few years (Intergovernmental Panel on Climate Change, 2007). This trend could endanger the viability of the insurance and reinsurance industry. Between 1969 and 1998, 36 US insurers became insolvent primarily as a result of catastrophe losses. Of these companies, 20 became insolvent between 1989 and 1993, the same time period as Hurricane Hugo (Matthews, 1999). The present paper aims to investigate these failures by developing a model of natural catastrophe insurance market and evaluating the ways the government can intervene. Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 3. Purpose of the research The one-region model The two-region model Two important issues Purely private market: only policyholders at risk have to deal with their insurer's insolvency. Government program: policyholders participate to a collective sharing practice based on solidarity from the taxpayers. No formal study has ever been undertaken to compare these two possible alternatives. Large insurance companies can pool the risks with independent risks from other regions (Cummins, 2006; Charpentier,2008). As the largest entity in a given jurisdiction, the government would be the most eective agency for spreading risks and losses (Priest, 1996). Are taxpayers from less risky regions willing to show solidarity with taxpayers from riskier regions ? This is especially relevant if we want to build an insurance program that is politically viable in the long run. Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 4. Purpose of the research The one-region model The two-region model Two models One-region model Natural risks are correlated, i.e., may imply a considerable number of claims at the same time. An insurer may have a non-zero probability of insolvency depending on 1 the distribution of the risks (Kunreuther, 2001), 2 the premium rate (Tapiero et al., 1986), 3 the amount of capital in the company (Charpentier, 2008). Two-region model The participation of a region can strongly inuence the solvency of a public program, as well as the indemnities received and the amount of additionnal taxes. We extend our theoretical framework by focusing on a simultaneous non-cooperative game combining two regions with heterogeneous natural risks. Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 5. Purpose of the research The one-region model The two-region model Theoretical framework Population: n Natural events: cause a loss l to N individuals. Share of population claiming a loss: X = N . n Distribution of X : depends on the probability p for each individual to claim a loss and the correlation δ between the individual risks. x F = F (x |p , δ) = F (x ) = f (t )dt ∈ [0; 1] 0 δ : determines the total number of people that will be claiming a loss at the same time. p : represents the odds for each individual to be one of the victims. The inhabitants will decide simultaneously whether or not to pay full insurance coverage. Premium=α ; Capital per policy of the insurance company=c Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 6. Purpose of the research The one-region model The two-region model Supply of insurance Probability of insolvency The insurer becomes insolvent when it is not possible to pay the full coverage l to the victims anymore, i.e., when the total losses (Nl ) become higher than the total revenue (nα) and the total economic capital (nc ). α+c P (Nl nα + nc ) = P X = 1 − F (¯) x l where x = (α + c )/l denotes the largest possible event without default. ¯ Expected prot of the company x ¯ Π(c , α, p , δ) = [nα − xnl ] f (x )dx − [1 − F (¯)]cn. x 0 Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 7. Purpose of the research The one-region model The two-region model Demand for insurance Scenario with limited liability (i.e. no government intervention) 1 1 V (c , α, p , δ) = xU (−α − l + I (x ))f (x )dx + (1 − x )U (−α)f (x )dx , 0 0 with I (X ) = c +α = reduced indemnity in case of insolvency. X Scenario with unlimited guarantee from the government 1 V (c , α, p , δ) = U (−α − T (x ))f (x )dx . 0 T (X ) = Xl − α − c = tax to compensate the default of payment. An agent will buy insurance if V (c , α, p , δ) ≥ pU (−l ) + (1 − p )U (0). Let denote α∗ the WTP for insurance. Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 8. Purpose of the research The one-region model The two-region model The role of capital requirements ∂Π ∂c 0: An increase in the capital will increase the exposition of the shareholders to industry failure. c 0: The WTP for an insurance contract is a positive function of the ∂α∗ ∂ company's capital. The company can consequently increase the price of a contract. The decision to increase the capital requirements depends on the demand sensitivity to insurers' capital resources. Other possibilities: capital market instruments such as CAT bonds or CAT options, creation of tax-deferred catastrophe reserves (Kousky, 2011). Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 9. Purpose of the research The one-region model The two-region model A regulated premium Private insurers advocate high levels of premium when faced with natural disasters. ∂Π ∂α 0: The higher the premium, the higher the expected prots. However, the WTP for a catastrophe coverage is a negative function of δ , because correlated risks imply a higher default risk. Given this controversial impact, a regulated price cannot be of any use, unless the idea is to solve the market ineciencies due to imperfect competition and imperfect information (see, e.g., Epple and Schäfer, 1996; Jaee and Russell, 1997). Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 10. Purpose of the research The one-region model The two-region model Unlimited guarantee from the government Coverage does not exist for too risky areas (e.g., ood insurance in the US). Such problems are usually solved by the creation of government programs. Because an unlimited guarantee insurance allow to spread the risks equally among the policyholders, the WTP for insurance is higher with government intervention. Consequence: the insurer can put forward higher premiums, which will reduce the insolvency probability, lead to higher expected prots, and could guarantee the existence of a catastrophe coverage. Question: does this result hold in a two-region economy with heterogenous risks? Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 11. Purpose of the research The one-region model The two-region model Theoretical framework Settings Two populations: n1 and n2 living in two dierent jurisdictions Natural events: cause a loss l to Ni inhabitants in Region i , i = 1, 2. Share of people claiming a loss in the total population: X0 = N1 +n22 n 1 +N The distribution of X0 depends on a new parameter : θ, the between-correlation: X0 ∼= F0 (x0 |p , δ1 , δ2 , θ) = F0 (x0 ), Insure Don't Insure V1 (c , α1 , α2 , p, δ1 , δ2 , θ), V2 (c , α1 , α2 , p, δ1 , δ2 , θ) V1 (c , α1 , p, δ1 ), pU (−l ) Don't pU (−l ), V2 (c , α2 , p, δ2 ) pU (−l ), pU (−l ) Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 12. Purpose of the research The one-region model The two-region model Set of Nash Equilibria ‫כ‬ ‫ככ‬ ‫כ‬ ‫ככ‬ હ૛ αଵ αଵ ሺαଶ ሻ હ૛ αଵ αଵ ሺαଶ ሻ α‫ ככ‬ሺαଵ ሻ ଶ α‫ ככ‬ሺαଵ ሻ ଶ Q P α‫כ‬ α‫כ‬ ଶ ଶ Q P 0 હ૚ 0 હ૚ ሺaሻ Starting situation: Q=P ሺbሻ Decreasing between-correlation ‫ככ‬ ‫כ‬ ‫כ‬ ‫ככ‬ હ૛ αଵ ሺαଶ ሻ αଵ હ૛ αଵ αଵ ሺαଶ ሻ P α‫כ‬ α‫כ‬ ଶ ଶ P α‫ ככ‬ሺαଵ ሻ α‫ ככ‬ሺαଵ ሻ ଶ ଶ Q Q 0 હ૚ હ૚ ሺcሻ Increasing between-correlation ሺdሻ Increasing within-correlation in Region 1 Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 13. Purpose of the research The one-region model The two-region model A government program should be priced appropriately Region 1 Region 2 Region 3 Regions 1+2 Regions 1+3 Loss per inhabitant in Year 1 5 65 35 35 20 Loss per inhabitant in Year 2 95 35 65 65 80 Average of annual losses (p) 50 50 50 50 50 Variance of annual losses (δ) 2025 225 225 225 900 Pearson correlation coecient (θ) -1 +1 a The number of inhabitants is the same in each region. The rates of a government program should be computed based not only on the level of risks (p ), i.e., on the expected losses (a basic actuarial principle), but also on how the risks are correlated within and between the regions (δ and θ), i.e., on the variance of the losses (which has never been applied to our knowledge). In particular, government ocials must be prepared to announce rates lower than usual to attract low-correlation regions. Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012
  • 14. Purpose of the research The one-region model The two-region model Conclusion Compared to a purely private market, the chance of failure of a government program should be reduced. Risk-averse policyholders will accept to pay higher rates for an unlimited guarantee insurance, thus reducing the probability of insolvency. To limit the protests of the less correlated areas, these rates should be computed based on how the risks are correlated within and between the jurisdictions involved. Future research There are several problems of related interest which were not examined in the present paper: The inuence of risk mitigation The role of bounded rationality in insurance decisions. Benoît Le Maux, Arthur Charpentier Public Choice Societies - World Meeting, March 9-11, 2012