In a complete market, terminal-wealth optimization can first be solved over terminal payoffs and then implemented by replication. Let initial wealth be , and take an increasing differentiable strictly concave utility function on satisfying the Inada conditions. The state-price budget constraint for a terminal wealth is . Monotonicity spends the whole budget at the optimum.
Let be the inverse marginal utility. Choose to satisfy . In a finite tree with positive state probabilities, this left side is continuous and strictly decreasing from infinity to zero, so exists uniquely. The complete-market terminal utility optimizer isTo prove optimality, concavity gives . Taking expectations and using the budget proves . Strict concavity gives uniqueness of the optimal terminal wealth. The finite-market setting avoids additional infinite-state existence and integrability issues.
Replicate using the backward recursion of part (i). Its wealth process is , and the two-successor difference quotient gives its stock holdings. This self-financing strategy starts with by the budget equality and remains positive at every node, since it is the discounted conditional expectation of a strictly positive terminal wealth.
For logarithmic utility, , , the multiplier is and . For CRRA utility with risk aversion , , the normalized payoff isConstraints such as prohibiting short sales change the attainable terminal-payoff set and require a constrained optimization; the unconstrained complete-market formula uses the stated assumptions.
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