We consider the utility maximization problem of terminal wealth from the
point of view of a portfolio manager paid by an incentive scheme given as a
convex function $g$ of the terminal wealth. The manager's own utility function
$U$ is assumed to be smooth and strictly concave, however the resulting utility
function $U \circ g$ fails to be concave. As a consequence, this problem does
not fit into the classical portfolio optimization theory.
The left tail of the implied volatility skew, coming from quotes on
out-of-the-money put options, can be thought to reflect the market's assessment
of the risk of a huge drop in stock prices. We analyze how this market
information can be integrated into the theoretical framework of convex monetary
measures of risk. In particular, we make use of indifference pricing by dynamic
convex risk measures, which are given as solutions of backward stochastic
differential equations (BSDEs), to establish a link between these two
approaches to risk measurement.