We assume that the agents have a constant relative risk aversion so that the utility of the capital allocation decision by agent j with belief h is given by
|
Uj,th=Ej,th(rj,t+1c)- |
|
Vj,t+1h(rj,tc),
(21) |
where
aj is the risk aversion parameter of agent
j. Every agent chooses an asset allocation that maximizes his utility
|
Maxyj,th Ej,th(rj,t+1c)- |
|
Vj,th(rj,t+1c) under CAL (6.19) or (6.20).
(22) |
The first order condition of (6.22) is
|
=Eth(rt+1P-rF) - aj yj,th Vth(rt+1P)=0. |
This implies that the optimal fraction of individual wealth invested in the risky asset by agent
j with belief
h as function of the price
Pt is equal to
|
yj,th(Pt)= |
| Eth(rt+1P-rF) |
|
| aj Vth(rt+1P) |
|
.
(23) |
Since the second order condition
is satisfied, utility is maximized. If
yj,th>0, then a long position in the risky asset is held. If
yj,th<0, then a short position in the risky asset is held. If we assume that all agents have the same risk aversion parameter
aj=
a, then all agents with the same belief
h invest the same fraction of their individual wealth in the risky asset. If agent
j has belief
h, then
yj,t=
yj,th=
yth, where
yth is the optimal fraction of wealth invested in the risky asset at time
t recommended by belief
h. Under the assumption that
aj=
a it is also true that
Uj,th=
Uth for all
j. Further we assume that the conditional variance
Vth(
rt+1P)=σ
2 is constant through time and equal for all beliefs.
yth(
Pt) can now be rewritten as:
which is a convex monotonically decreasing function of
Pt. Note that we can bring
Pt outside the expectations formula, because the price is not a random variable, but an equilibrium price set by the market auctioneer. Stated differently, the fraction of wealth invested in the risky asset at time
t depends on the price set by the market at time
t and the forecast or belief about the price at time
t+1, based on all available information until time
t but not including
Pt. Figure 6.1 illustrates the demand function of the mean-variance utility maximizing belief.
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