Chapter 2 - Utility Theory Flashcards
Expected Utility Theorem (EUT)
states that:
- a function, U(w) can be constructed representing an investor’s utility of wealth, w
- the investor faced with uncertainty makes decisions on the basis of maximising the E(utility) *
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*i.e highest E(U) not highest E(w)
4 axioms which EUT can be derived from
CTIC (CT is cool)
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1) COMPARABILITY
2) TRANSITIVITY
3) INDEPENDENCE
4) CERTAINTY EQUIVALENCE
Comparability
An investor can state a preference between all available certain outcomes.
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U(A)>U(B), U(B)>U(A) or U(A) = U(B)
Transitivity
If A is preferred to B & B is preferred to C then A is preferred to C.
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U(A)>U(B) and U(B)>(C) –> U(A)>U(C)
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This implies that investors are consistent in their rankings of outcomes
Independence
If an investor is indifferent between 2 certain outcomes, A&B, then they are also indifferent between the 2 ffg gambles:
i) A with probability p & C with prob (1-p)
ii) B with probability p & C with prob (1-p)
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if U(A)=U(B) and U(C)=U(C then
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pU(A) + (1-p)U(C) = pU(B) + (1-p)U(C)
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The choice between any 2 certain outcomes is independent of all other certain outcomes
Certainty equivalence
Suppose that A is preferred to B & B is preferred to C, then there exists a unique probability, p, s.t the investor is indifferent between B & a gamble giving A with prob p, and C w prob (1-p).
**********Thus if:
U(A)>U(B)>U(C) then there exists a unique p (0<p<1) s.t:
pU(A) +(1-p)U(C) = U(B) …. B is the ‘certainty equivalent’
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It represents the certain outcome or level of wealth that yields the same certain utility as the e(utility) yielded by the gamble or lottery involving outcomes A & C.
What are the 2 characteristics of utility functions?
Investor’s risk-return preferences are described by the form of their utility function. It’s assumed that they are:
1) NON-SATIATED (prefer more to less) — U’(w) > 0
2) RISK-AVERSE — U’‘(W) < 0
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U’(W) = marginal utility of wealth
R.A -> investor values an incremental increase in wealth less highly than an incremental decrease & will reject a fair gamble.
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fair gamble is one where the e(wealth)= 0 or unchanged
Risk-seeking investor
def: values an incremental increase in wealth more highly than an incremental decrease & will seek a fair gamble.
U’‘(W) > 0
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convex utility function
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for RISK-NEUTRAL, U’‘(w) =0
Additive or absolute gamble
U(cw) = E[U(w+x)] where cx = cw - w = certainty equivalent of the gamble
Multiplicative or proportional gamble
U(cw) = E[U(w*y)]
What’s the relationship between ARA (absolute risk aversion) & cx (certainty equivalent)?
increasing / decreasing ARA <–> increasing / decreasing |cx|
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directly proportional
What’s the relationship between RRA (absolute risk aversion) & cx/w (certainty equivalent)?
increasing / decreasing RRA <–> increasing / decreasing |cx/w|
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directly proportional
ARA (absolute risk aversion)
A(w) = -U’‘(w) / U’(w)
RRA (relative risk aversion)
R(w) = -w(U’‘(w) / U’(w)) = wA(w) `
Construction of utility functions
One approach involves questioning individuals about their preferences. Questioning may be direct/indirect, it’s done so that the shape of an individual’s utility function can be roughly determined. -> via fit of least squares method (framed in terms of how much an individual is prepared to pay for insurance against various risk)