This lecture introduces Cumulative Prospect Theory (CPT), a refinement of PT that uses rank-dependent cumulative weights. It addresses empirical violations like stochastic dominance and explains CPT’s handling of five key phenomena: framing, nonlinear preferences, source dependence, risk-seeking, and loss aversion.