Lecture 2 The Universal Principle of Risk Management

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Lecture 2 The Universal Principle of Risk Management

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Title: Lecture 2 The Universal Principle of Risk Management


1
Lecture 2The Universal Principle of Risk
Management
  • Pooling and Hedging of Risk

2
Probability and Insurance
  • Concept of probability began in 1660s
  • Concept of probability grew from interest in
    gambling.
  • Mahabarata story (ca. 400 AD) of Nala and
    Rtuparna, suggests some probability theory was
    understood in India then.
  • Fire of London 1666 and Insurance

3
Probability and Its Rules
  • Random variable A quantity determined by the
    outcome of an experiment
  • Discrete and continuous random variables
  • Independent trials
  • Probability P, 0ltPlt1
  • Multiplication rule for independent events
    Prob(A and B) Prob(A)?Prob(B)

4
Insurance and Multiplication Rule
  • Probability of n independent accidents Pn
  • Probability of x accidents in n policies
    (Binomial Distributon)

5
Expected Value, Mean, Average
6
Geometric Mean
  • For positive numbers only
  • Better than arithmetic mean when used for
    (gross) returns
  • Geometric ? Arithmetic

7
Variance and Standard Deviation
  • Variance (?2)is a measure of dispersion
  • Standard deviation ? is square root of variance

8
Covariance
  • A Measure of how much two variables move together

9
Correlation
  • A scaled measure of how much two variables move
    together
  • -1 ???1

10
Regression, Beta.5, corr.93
11
Distributions
  • Normal distribution (Gaussian) (bell-shaped
    curve)
  • Fat-tailed distribution common in finance

12
Normal Distribution
13
Normal Versus Fat-Tailed
14
Expected Utility
  • Pascals Conjecture
  • St. Petersburg Paradox, Bernoulli Toss coin
    until you get a head, k tosses, win 2(k-1) coins.
  • With log utility, a win after k periods is worth
    ln(2k-1)

15
Present Discounted Value (PDV)
  • PDV of a dollar in one year 1/(1r)
  • PDV of a dollar in n years 1/(1r)n
  • PDV of a stream of payments x1,..,xn

16
Consol and Annuity Formulas
  • Consol pays constant quantity x forever
  • Growing consol pays x(1g)t in t years.
  • Annuity pays x from time 1 to T

17
Insurance Annuities
  • Life annuities Pay a stream of income until a
    person dies.
  • Uncertainty faced by insurer is termination date
    T

18
Problems Faced by Insurance Companies
  • Probabilities may change through time
  • Policy holders may alter probabilities (moral
    hazard)
  • Policy holders may not be representative of
    population from which probabilities were derived
  • Insurance Companys portfolio faces risk
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