Conceptual

Behavioral Finance: Interpreting Market Data Under Uncertainty and Disaster Probability

Behavioral finance challenges the neoclassical rational choice framework by demonstrating that individual utility maximization fails under conditions of uncertainty due to probability reversal and subjective probability assessment. The core theoretical mechanism distinguishes between risk, which is handled via known distributions and variance within repeated experiments (certainty), and true uncertainty defined by unknown outcomes where future cash flows are subject to discontinuous cessation at an indeterminate disaster time $s$. Consequently, standard valuation metrics like Net Present Value utilizing constant discount rates fail because they ignore the growing probability of catastrophic failure over time; instead, value must be derived using an adjusted horizon incorporating the linearly increasing likelihood of structural collapse or obsolescence.