  We aim to provide an intertemporal, cost-efficient consumption model that
extends the consumption optimization inspired by the Distribution Builder, a
tool developed by Sharpe, Johnson, and Goldstein. The Distribution Builder
enables the recovery of investors' risk preferences by allowing them to select
a desired distribution of terminal wealth within their budget constraints.
  This approach differs from the classical portfolio optimization, which
considers the agent's risk aversion modeled by utility functions that are
challenging to measure in practice. Our intertemporal model captures the
dependent structure between consumption periods using copulas. This strategy is
demonstrated using both the Black-Scholes and CEV models.
