Consider an agent who behaves according to the von Neumann- Morgenstern axioms with Bernoulli utility function u : R → R satisfying

u′ > 0 > u′′. Denote by

R(y) = −u′′ (y) / u′ (y)

the agent’s Arrow-Pratt coefficient of absolute risk aversion. The agent exhibits constant absolute risk aversion (CARA) if R(y) is constant for all y ∈ R, and exhibits non-increasing absolute risk aversion (NIARA) if R (y) is non-increasing in y.

Let Y be a real-valued lottery with cumulative distribution F (.) and density f (.), and denote by mY its certainty equivalent. Show that if the agent exhibits CARA then

∫u′ (y) dF (y) = u′ (mY )

Order from us and get better grades. We are the service you have been looking for.