abstract = "The Constant Proportion Portfolio Insurance (CPPI)
technique is a dynamic capital-protection strategy that
aims at providing investors with a guaranteed minimum
level of wealth at a specified time horizon. It gives
an investor the ability to limit downside risk while
allowing some participation in upside markets. Despite
its widespread popularity in the industry, this
strategy is not bereft of risk for the issuer. The
inability to meet the guarantee at maturity, commonly
referred to as gap risk, is a major concern. Gap risk
could be limited by increasing the frequency of trading
(rebalancing) but this has the adverse effect of
generating more transaction costs. One way of achieving
a tradeoff between gap risk and rebalancing frequency
is through the use of rebalancing triggers, which
constitutes the main focus of this paper. We use a
genetic programming (GP) approach to obtain bounds of
tolerance around the value of the multiplier implied by
the portfolio composition. The experiments focus on GBM
and GARCH price processes, and two different types of
fitness functions, namely Tracking Error and Sortino
ratio. We investigate the performance of the GP-based
rebalancing strategy for different parameter settings
and find that it yields better results than
calendar-based rebalancing strategies in most
scenarios.",
notes = "Abstracts only
WWZ Uni Basel, Switzerland
http://www.cfe-csda.org/cfe10/",