🤖 AI Summary
This study addresses optimal investment and valuation for a logarithmic utility investor in an incomplete financial market who, in addition to initial capital, holds a small non-traded endowment stream. Employing a unified framework based on continuous semimartingale dynamics, the analysis combines duality methods, Kunita–Watanabe projection, and asymptotic expansion techniques to simultaneously treat both finite- and infinite-horizon settings. The work derives, for the first time, a fourth-order asymptotic expansion of the value function and a second-order expansion of the optimal wealth process with respect to the endowment size ε. These expansions elucidate the structure of higher-order risk effects and provide analytical tools for the precise quantification of small non-tradable risks.
📝 Abstract
In an incomplete financial market with general continuous semimartingale dynamics; we model an investor with log-utility preferences who, in addition to an initial capital, receives units of a non-traded endowment process. Using duality techniques, we derive the fourth-order expansion of the primal value function with respect to the units $\epsilon$, held in the non-traded endowment. In turn, this lays the foundation for expanding the optimal wealth process, in this context, up to second order w.r.t. $\epsilon$. The key processes underpinning the aforementioned results are given in terms of Kunita-Watanabe projections, mirroring the case of lower order expansions of similar nature. Both the case of finite and infinite horizons are treated in a unified manner.