Life Insurance Acquisition Decision Tree | Vose Software

ModelChoice decision tree · Insurance

Life Insurance Portfolio Acquisition

Buy a large or a small block of life policies, invest through a fund, or not invest?

  • Complexity: ★★★★★
  • Free Excel workbook
  • Needs ModelChoice: free trial

From the model’s decision tree

Best first decision: Buy Large Portfolio (1000)

The expected value of each first option when every later decision is also made well (the tree rolled back).

First decisionExpected value
Buy Large Portfolio (1000)$27,750,000✔ best
Buy Small Portfolio (200)$2,525,000
Participate in Fund$2,902,500
Don't Invest$0
MeasureValue
Expected value of the best strategy$27,750,000
Chance of a loss on the best strategy40.0%
Best outcome on the best strategy$200,000,000
Worst outcome on the best strategy−$140,000,000
The best strategy: chance of each outcome or less

The decision

An investment firm specializing in insurance-linked assets is evaluating the acquisition of a block of life insurance policies (life settlements). The firm would purchase policies from seniors at a discount to face value, pay ongoing premiums, and collect death benefits. Returns depend on how quickly insured individuals pass away relative to actuarial projections.

Objective

Maximize expected net return over a 10-year horizon. Key uncertainties: mortality experience vs actuarial tables, interest rate movements (affect discount rates and premium financing costs), and regulatory changes.

The options

Option 1: Buy Large Portfolio - 1000 Policies ($200M)

Purchase a diversified block of 1000 policies with $1.2B aggregate face value. Better diversification but massive capital commitment. If mortality is much better than expected (people live longer), a hold-or-sell decision follows.

Option 2: Buy Small Portfolio - 200 Policies ($45M)

Purchase a smaller block of 200 policies with $250M face value. Less capital at risk but higher concentration risk and less diversification benefit.

Option 3: Participate in Fund ($10M commitment)

Invest as a limited partner in a life settlement fund managed by specialists. Lower risk but also lower return; manager takes 2/20 fees.

Option 4: Don't Invest

Pass on the opportunity. No risk, no return.

The decision tree

The tree has 2 decisions, 12 chance events and 32 outcomes. The best path is open: at every decision the best choice is marked, and the expected value beside each branch counts every cash flow from the start. Open any other branch to see what follows it.

DecisionChance event+$ cash flow on the branch

Decision: Portfolio Acquisition
  • Buy Large Portfolio (1000) −$200,000,000expected $27,750,000 ✔ best
    Chance: Mortality Experience
    • 15% Much Better (Live Longer)expected −$140,000,000
      Decision: Longevity Risk: Hold or Sell?
      • Hold and Waitexpected −$153,800,000
        Chance: Interest Rate Environment
        • 35% Rates Rise (Helps)expected −$118,000,000
          Chance: Regulatory Changes
          • 30% Favorable Regulation +$120,000,000payoff −$80,000,000
          • 50% No Change +$80,000,000payoff −$120,000,000
          • 20% Adverse Regulation +$30,000,000payoff −$170,000,000
        • 40% Rates Stable +$50,000,000payoff −$150,000,000
        • 25% Rates Fall (Hurts) −$10,000,000payoff −$210,000,000
      • Sell at Loss +$60,000,000payoff −$140,000,000 ✔ best
    • 25% Better Than Expectedexpected −$56,000,000
      Chance: Interest Rates (Better Mort.)
      • 35% Rates Rise +$180,000,000payoff −$20,000,000
      • 40% Rates Stable +$140,000,000payoff −$60,000,000
      • 25% Rates Fall +$100,000,000payoff −$100,000,000
    • 35% As Expectedexpected $75,000,000
      Chance: Interest Rates (Expected Mort.)
      • 35% Rates Rise +$320,000,000payoff $120,000,000
      • 40% Rates Stable +$270,000,000payoff $70,000,000
      • 25% Rates Fall +$220,000,000payoff $20,000,000
    • 25% Worse (Die Sooner)expected $146,000,000
      Chance: Interest Rates (Worse Mort.)
      • 35% Rates Rise +$400,000,000payoff $200,000,000
      • 40% Rates Stable +$340,000,000payoff $140,000,000
      • 25% Rates Fall +$280,000,000payoff $80,000,000
  • Buy Small Portfolio (200) −$45,000,000expected $2,525,000
    Chance: Mortality Experience
    • 15% Much Better (Live Longer) +$15,000,000payoff −$30,000,000
    • 25% Better Than Expectedexpected −$14,500,000
      Chance: Interest Rates (Better Mort.)
      • 35% Rates Rise +$40,000,000payoff −$5,000,000
      • 40% Rates Stable +$30,000,000payoff −$15,000,000
      • 25% Rates Fall +$18,000,000payoff −$27,000,000
    • 35% As Expectedexpected $11,500,000
      Chance: Interest Rates (Expected Mort.)
      • 35% Rates Rise +$70,000,000payoff $25,000,000
      • 40% Rates Stable +$55,000,000payoff $10,000,000
      • 25% Rates Fall +$40,000,000payoff −$5,000,000
    • 25% Worse (Die Sooner)expected $26,500,000
      Chance: Interest Rates (Worse Mort.)
      • 35% Rates Rise +$85,000,000payoff $40,000,000
      • 40% Rates Stable +$70,000,000payoff $25,000,000
      • 25% Rates Fall +$55,000,000payoff $10,000,000
  • Participate in Fund −$10,000,000expected $2,902,500
    Chance: Fund Performance
    • 15% Mortality Much Better +$3,000,000payoff −$7,000,000
    • 25% Mortality Better +$8,000,000payoff −$2,000,000
    • 35% Mortality As Expectedexpected $4,150,000
      Chance: Interest Rates (Fund)
      • 35% Rates Rise +$18,000,000payoff $8,000,000
      • 40% Rates Stable +$14,000,000payoff $4,000,000
      • 25% Rates Fall +$9,000,000payoff −$1,000,000
    • 25% Mortality Worse +$22,000,000payoff $12,000,000
  • Don't Investpayoff $0

Change the numbers. Open the workbook with ModelChoice, change a probability or a cost in the tree, and the best decision updates at once.

Key assumptions

AssumptionValueNotes
Large Portfolio Cost$200,000,0001000 policies, $1.2B face value
Small Portfolio Cost$45,000,000200 policies, $250M face value
Fund Commitment$10,000,000LP interest, 2/20 fee structure
Much Better Mortality15%Insureds live much longer than expected
Better Mortality25%Insureds live somewhat longer
Expected Mortality35%Matches actuarial projections
Worse Mortality25%Insureds die sooner (higher returns)
Interest Rate Rise Prob.35%Increases discount rate
Max Upside (Large)$120,000,000Worse mortality + rising rates
Max Downside (Large)−$40,000,000Much better mortality + rates fall

The figures are illustrative: the companies and numbers are invented for teaching.

Try it in ModelChoice

  • Strategy Table. Compare large vs small portfolio vs fund participation
  • Sensitivity Analysis. Impact of mortality deviation and interest rates on NPV
  • Risk Profile. Longevity risk and the hold-or-sell decision

Find similar models

Further reading